Our Work

Peer-reviewed publications and preprints from our group.

2025

  1. DA Alber, Z Yang, A Alyakin, E Yang, S Rai, AA Valliani, J Zhang, .... Medical large language models are vulnerable to data-poisoning attacks. Nature Medicine 31 (2), 618-626, 2025
    Google ScholarCited by 108
  2. J Wang, K Wang, Y Yu, Y Lu, W Xiao, Z Sun, F Liu, Z Zou, Y Gao, L Yang, .... Self-improving generative foundation model for synthetic medical image generation and clinical applications. Nature Medicine 31 (2), 609-617, 2025
    Google ScholarCited by 61
  3. K Vishwanath, A Alyakin, DA Alber, JV Lee, D Kondziolka, EK Oermann. Medical large language models are easily distracted. arXiv preprint arXiv:2504.01201, 2025
    Google ScholarCited by 4
  4. MA Mankowski, S Bae, AT Strauss, BE Lonze, BJ Orandi, D Stewart, .... Generalizability of kidney transplant data in electronic health records—The Epic Cosmos database vs the Scientific Registry of Transplant Recipients. American Journal of Transplantation 25 (4), 744-755, 2025
    Google ScholarCited by 4
  5. A Alyakin, D Kurland, DA Alber, KL Sangwon, D Li, A Tsirigos, E Leuthardt, .... CNS-CLIP: transforming a neurosurgical journal into a multimodal medical model. Neurosurgery 96 (6), 1227-1235, 2025
    Google ScholarCited by 3
  6. F Liu, H Zhou, K Wang, Y Yu, Y Gao, Z Sun, S Liu, S Sun, Z Zou, Z Li, B Li, .... MetaGP: A generative foundation model integrating electronic health records and multimodal imaging for addressing unmet clinical needs. Cell Reports Medicine 6 (4), 2025
    Google ScholarCited by 3
  7. DB Kurland, DA Alber, A Palla, DN de Souza, D Lau, I Laufer, .... Augmenting large language models with automated, bibliometrics-powered literature search for knowledge distillation: a pilot study for common spinal pathologies. Neurosurgery 97 (2), 387-398, 2025
    Google ScholarCited by 2
  8. SF Chen, RJ Steele, GM Hocky, B Lemeneh, SP Lad, EK Oermann. Large-Scale Multi-omic Biosequence Transformers for Modeling Protein-Nucleic Acid Interactions. ArXiv, arXiv: 2408.16245 v5, 2025
    Google ScholarCited by 2
  9. A Hachisuka, JD Shor, XC Liu, D Friedman, P Dugan, I Saez, FE Panov, .... Neural and Computational Mechanisms Underlying One-shot Perceptual Learning in Humans. bioRxiv, .05. 09.635727, 2025, 2025
    Google ScholarCited by 1
  10. YH Lan, EK Oermann. Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations. arXiv preprint arXiv:2505.00307, 2025
    Google ScholarCited by 1
  11. S Singh, A Alyakin, DA Alber, J Stryker, APS Tong, K Sangwon, N Goff, .... It is Too Many Options: Pitfalls of Multiple-Choice Questions in Generative AI and Medical Education. arXiv preprint arXiv:2503.13508, 2025
    Google ScholarCited by 1
  12. X Han, A Alyakin, S Ciprut, C Lapierre, J Stryker, J Golfinos, D Kondziolka, .... Neuro Data Hub: A New Approach for Streamlining Medical Clinical Research. Neurosurgery Practice 6 (4), e000162, 2025
    Google Scholar
  13. I Marinescu, K Cho, EK Oermann. On the Relationship Between the Choice of Representation and In-Context Learning. arXiv preprint arXiv:2510.08372, 2025
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  14. DB Kurland, M Park, AA Gajjar, A Liu, D Kondziolka, JG Golfinos, .... Most Roads Lead to Cushing: Mapping Neurosurgical Training Lineages in the United States. World Neurosurgery, 124433, 2025
    Google Scholar
  15. KL Sangwon, J Zhang, R Steele, J Stryker, JV Lee, J Choi, K Vishwanath, .... Evaluating Large Language Model Diagnostic Performance on JAMA Clinical Challenges via a Multi-Agent Conversational Framework. medRxiv, .08. 20.25334087, 2025, 2025
    Google Scholar
  16. KL Sangwon, J Zhang, R Steele, J Stryker, DA Alber, A Valliani, .... A Multi-AI Agent Framework for Interactive Neurosurgical Education and Evaluation: From Vignettes to Virtual Conversations. medRxiv, .08. 20.25334084, 2025, 2025
    Google Scholar
  17. R Dua, Y Joon, S Dogra, D Freedman, D Ruan, M Nashawaty, D Rigau, .... Clinically Grounded Agent-based Report Evaluation: An Interpretable Metric for Radiology Report Generation. arXiv preprint arXiv:2508.02808, 2025
    Google Scholar
  18. J Nawar, E Oermann, MMA DeMarco, D Segev, M Mankowski. Linguistic Features of Cognitive Decline in ESKD: A Comparative Analysis of Patient Portal Messages Among Non-Transplant vs. Transplant Patients. American Journal of Transplantation 25 (8), S993-S994, 2025
    Google Scholar
  19. BS Hopkins, GR Sutherland, SR Browd, DA Donoho, EK Oermann, .... Introduction. Artificial intelligence in neurosurgery: transforming a data-intensive specialty. Neurosurgical Focus 59 (1), E1, 2025
    Google Scholar
  20. K Vishwanath, A Alyakin, M Ghosh, JV Lee, DA Alber, KL Sangwon, .... Evaluating the performance and fragility of large language models on the self-assessment for neurological surgeons. arXiv preprint arXiv:2505.23477, 2025
    Google Scholar
  21. AY Fu, K Bernstein, J Zhang, J Silverman, J Mehnert, EP Sulman, .... Outcomes of concurrent versus non-concurrent immune checkpoint inhibition with stereotactic radiosurgery for melanoma brain metastases. Journal of Neuro-Oncology, 1-7, 2025
    Google Scholar
  22. KL Sangwon, B Negash, D Wiggan, E Grin, C Lapierre, E Raz, M Shapiro, .... 384 Intraoperative Venous Outflow Assessments During Obliteration of Dural Arteriovenous Fistula Using Hemodynamic Changes of FLOW800 Technology. Neurosurgery 71 (Supplement_1), 94, 2025
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  23. K Groff, A Bhavsar, M Baumhauer, S Ben-Haim, LB Chambless, .... 1302 Exploring Trends in Authorship by Women in Fifteen Major Neurosurgical Journals. Neurosurgery 71 (Supplement_1), 215, 2025
    Google Scholar
  24. N Mandelberg, M Phillips, JG Golfinos, C Sen, AY Mogilner, .... 180 Optimal Neurosurgical Surgical Site Preparation: A Prospective Single-Center Study. Neurosurgery 71 (Supplement_1), 43, 2025
    Google Scholar
  25. DB Kurland, A Liu, HA Khan, AA Gajjar, CH Alleyne, JG Golfinos, .... 1258 Most Roads Lead to Cushing: A Network Analysis Of Neurosurgical Training Lineages. Neurosurgery 71 (Supplement_1), 203, 2025
    Google Scholar
  26. KL Sangwon, B Negash, E Gutstadt, D Wiggan, E Grin, C Lapierre, .... 278 Intraoperative Anastomotic Flow Measurements During STA-MCA Bypass Using FLOW800 Hemodynamics. Neurosurgery 71 (Supplement_1), 67, 2025
    Google Scholar
  27. KL Sangwon, A Alyakin, DB Kurland, EC Leuthardt, DS Kondziolka, .... 189 A Generalizable Pipeline for Building an Extensive Domain-Specific Dataset From a Medical Journal-Neurosurgery Edition. Neurosurgery 71 (Supplement_1), 46, 2025
    Google Scholar
  28. C Hang, R Deng, LY Jiang, Z Yang, A Alyakin, D Alber, EK Oermann. BPQA Dataset: Evaluating How Well Language Models Leverage Blood Pressures to Answer Biomedical Questions. arXiv preprint arXiv:2503.04155, 2025
    Google Scholar
  29. J Xu, M Mankowski, KB Vanterpool, AT Strauss, BE Lonze, BJ Orandi, .... Trials and Tribulations: Responses of ChatGPT to Patient Questions About Kidney Transplantation. Transplantation 109 (3), 399-402, 2025
    Google Scholar
  30. A Alyakin, J Stryker, DA Alber, KL Sangwon, JV Lee, B Duderstadt, .... Repurposing the scientific literature with vision-language models. arXiv preprint arXiv:2502.19546, 2025
    Google Scholar

2024

  1. K Zhang, HY Zhou, DT Baptista-Hon, Y Gao, X Liu, E Oermann, S Xu, .... Concepts and applications of digital twins in healthcare and medicine. Patterns 5 (8), 2024
    Google ScholarCited by 49
  2. M Nasir-Moin, LI Wadiura, V Sacalean, D Juros, M Movahed-Ezazi, .... Localization of protoporphyrin IX during glioma-resection surgery via paired stimulated Raman histology and fluorescence microscopy. Nature biomedical engineering 8 (6), 672-688, 2024
    Google ScholarCited by 20
  3. R Nagarajan, M Kondo, F Salas, E Sezgin, Y Yao, V Klotzman, .... Economics and equity of large language models: health care perspective. Journal of Medical Internet Research 26, e64226, 2024
    Google ScholarCited by 18
  4. S Rahman, LY Jiang, S Gabriel, Y Aphinyanaphongs, EK Oermann, .... Generalization in healthcare ai: Evaluation of a clinical large language model. arXiv preprint arXiv:2402.10965, 2024
    Google ScholarCited by 14
  5. D Chen, A Geevarghese, S Lee, C Plovnick, C Elgin, R Zhou, E Oermann, .... Transparency in artificial intelligence reporting in ophthalmology-a scoping review. Ophthalmology Science 4 (4), 100471, 2024
    Google ScholarCited by 11
  6. KE Link, Z Schnurman, C Liu, YJ Kwon, LY Jiang, M Nasir-Moin, S Neifert, .... Longitudinal deep neural networks for assessing metastatic brain cancer on a large open benchmark. Nature Communications 15 (1), 8170, 2024
    Google ScholarCited by 9
  7. A Kumar, J Witsch, J Frontera, AI Qureshi, E Oermann, S Yaghi, .... Predicting hematoma expansion using machine learning: An exploratory analysis of the ATACH 2 trial. Journal of the Neurological Sciences 461, 123048, 2024
    Google ScholarCited by 6
  8. GG von Oiste, KL Sangwon, C Chung, V Narayan, E Raz, M Shapiro, .... Use of carotid web angioarchitecture for stroke risk assessment. World Neurosurgery 182, e245-e252, 2024
    Google ScholarCited by 6
  9. MA Mankowski, IS Jaffe, J Xu, S Bae, EK Oermann, Y Aphinyanaphongs, .... ChatGPT solving complex kidney transplant cases: a comparative study with human respondents. Clinical transplantation 38 (10), e15466, 2024
    Google ScholarCited by 4
  10. JM Mir, DB Kurland, ATM Cheung, A Liu, NA Shlobin, D Alber, S Rai, .... The evolution of pediatric spine surgery: a bibliometric analysis of publications from 1902 to 2023. Neurosurgery Practice 5 (3), e00092, 2024
    Google ScholarCited by 3
  11. KL Sangwon, M Nguyen, DD Wiggan, B Negash, DA Alber, XC Liu, A Liu, .... Assessing superficial temporal artery–middle cerebral artery anastomosis patency using FLOW 800 hemodynamics. Journal of Neurosurgery 142 (2), 363-372, 2024
    Google ScholarCited by 3
  12. GR Rosenbaum, LY Jiang, I Sheth, J Stryker, A Alyakin, DA Alber, NK Goff, .... Medg-krp: Medical graph knowledge representation probing. arXiv preprint arXiv:2412.10982, 2024
    Google ScholarCited by 2
  13. K Vishwanath, J Stryker, A Alyakin, DA Alber, EK Oermann. MedMobile: A mobile-sized language model with expert-level clinical capabilities. arXiv preprint arXiv:2410.09019, 2024
    Google ScholarCited by 2
  14. R Feng, AA Valliani, ML Martini, JS Gal, SN Neifert, NC Kim, EA Geng, .... Reliable prediction of discharge disposition following cervical spine surgery with ensemble machine learning and validation on a national cohort. Clinical Spine Surgery 37 (1), E30-E36, 2024
    Google ScholarCited by 2
  15. JJ Long, J Hong, Y Liu, A Nalatwad, Y Li, N Ghildayal, EA Johnston, .... Hospitalization and Hospitalized Delirium Are Associated With Decreased Access to Kidney Transplantation and Increased Risk of Waitlist Mortality. Clinical Transplantation 38 (11), e70018, 2024
    Google ScholarCited by 1
  16. JN Acosta, X Zhang, S Dogra, HY Zhou, S Payabvash, GJ Falcone, .... HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation. arXiv preprint arXiv:2409.13038, 2024
    Google ScholarCited by 1
  17. Y Chen, R Wang, Z Yang, LY Jiang, EK Oermann. Refining Packing and Shuffling Strategies for Enhanced Performance in Generative Language Models. arXiv preprint arXiv:2408.09621, 2024
    Google ScholarCited by 1
  18. L Jiang, C Liu, NP Nejatian, M Nasir-Moin, D Wang, A Abidin, K Eaton, .... 754 Prediction of 30-day All-Cause Readmission of Neurosurgery Patients Using Large Language Models. Neurosurgery 70 (Supplement_1), 165, 2024
    Google ScholarCited by 1
  19. EK Lock, DA Alber, A Smith, KL Sangwon, M Movah-Ezazi, TC Hollon, .... 293 The Impact of Tumor Mutational Status on Protoporphyrin IX Accumulation in Tumor-Associated Macrophages in Glioblastoma Patients. Neurosurgery 70 (Supplement_1), 84, 2024
    Google ScholarCited by 1
  20. KL Sangwon, EK Oermann, E Nossek. Predicting STA-MCA Anastomosis Success: Insights from FLOW 800 Hemodynamics. World neurosurgery 192, 246-247, 2024
    Google Scholar
  21. P Nagarajan, M Kondo, F Salas, E Sezgin, Y Yao, V Klotzman, .... Open Library of Bioscience. Economics 26, e64226, 2024
    Google Scholar
  22. S Durrani, I Cote, S Carpintieri, J Martinez, A Metzler, J Graciolli, A Shah, .... DATA-DRIVEN MODELING OF EMERGING TRENDS AND COLLABORATIVE NETWORKS ACROSS BRAIN METASTASES RESEARCH: THE PAST DECADE OF INNOVATION. NEURO-ONCOLOGY 26, 2024
    Google Scholar
  23. S Durrani, I Cote, S Carpintieri, J Martinez, A Metzler, J Graciolli, A Shah, .... INNV-35. DATA-DRIVEN MODELING OF EMERGING TRENDS AND COLLABORATIVE NETWORKS ACROSS BRAIN METASTASES RESEARCH: THE PAST DECADE OF INNOVATION. Neuro-oncology (Charlottesville, Va.) 26 (Supplement_8), viii176-viii176, 2024
    Google Scholar
  24. EK Oermann. Systems, methods, and computer-accessible medium for providing human-model alignment using metadata and artifacts, patient information, or synthetic data. US Patent App. 18/646,234, 2024
    Google Scholar
  25. E Oermann, D Kondziolka, A Brundyn, J Swanson. System and method for stereoscopic image generation. US Patent App. 18/690,480, 2024
    Google Scholar
  26. EK Oermann. Systems, methods and computer-accessible medium for providing a language model population simulator. US Patent App. 18/434,053, 2024
    Google Scholar
  27. S Durrani, I Cote, S Carpintieri, J Martinez, A Metzler, J Graciolli, A Shah, .... DSAI-07 DATA-DRIVEN MODELING OF EMERGING TRENDS AND COLLABORATIVE NETWORKS ACROSS BRAIN METASTASES RESEARCH: THE PAST DECADE OF INNOVATION. Neuro-oncology advances 6 (Suppl 1), i12, 2024
    Google Scholar
  28. DA Alber, KL Sangwon, A Smith, EK Lock, M Movah-Ezazi, TC Hollon, .... 506 Deep Learning-Based Image-to-Image Translation to Identify Macrophage Infiltration in High-Grade Glioma Using Label-Free Stimulated Raman Histology. Neurosurgery 70 (Supplement_1), 155, 2024
    Google Scholar
  29. DA Alber, A Cheung, DB Kurland, KL Sangwon, L Jiang, C Liu, .... 227 Spine-tuned Natural Language Models and Bespoke Regular Expression Classifiers for Automated Spinal Surgery Registry Development. Neurosurgery 70 (Supplement_1), 61, 2024
    Google Scholar

2023

  1. LY Jiang, XC Liu, NP Nejatian, M Nasir-Moin, D Wang, A Abidin, K Eaton, .... Health system-scale language models are all-purpose prediction engines. Nature 619 (7969), 357-362, 2023
    Google ScholarCited by 427
  2. Z Schnurman, E Mashiach, KE Link, B Donahue, E Sulman, J Silverman, .... Causes of death in patients with brain metastases. Neurosurgery 93 (5), 986-993, 2023
    Google ScholarCited by 21
  3. EK Oermann, D Kondziolka. On chatbots and generative artificial intelligence. Neurosurgery 92 (4), 665-666, 2023
    Google ScholarCited by 19
  4. ATM Cheung, M Nasir-Moin, YJF Kwon, J Guan, C Liu, L Jiang, .... Methods and impact for using federated learning to collaborate on clinical research. Neurosurgery 92 (2), 431-438, 2023
    Google ScholarCited by 16
  5. P Clark, EK Oermann, D Chen, LA Al-Aswad. Federated AI, current state, and future potential. Asia-Pacific Journal of Ophthalmology 12 (3), 310-314, 2023
    Google ScholarCited by 9
  6. DB Kurland, ATM Cheung, NC Kim, K Ashayeri, T Hidalgo, .... A century of evolution in spine surgery publications: a bibliometric analysis of the field from 1900 to 2023. Neurosurgery 93 (5), 1121-1143, 2023
    Google ScholarCited by 8
  7. ATM Cheung, DB Kurland, S Neifert, N Mandelberg, M Nasir-Moin, .... Developing an automated registry (autoregistry) of spine surgery using natural language processing and health system scale databases. Neurosurgery 93 (6), 1228-1234, 2023
    Google ScholarCited by 7
  8. CL Bi, DB Kurland, R Ber, D Kondziolka, D Lau, D Pacione, .... Digital biomarkers and the evolution of spine care outcomes measures: Smartphones and wearables. Neurosurgery 93 (4), 745-754, 2023
    Google ScholarCited by 5
  9. E Oermann, K Link, Z Schnurman, C Liu, YJF Kwon, LY Jiang, .... Longitudinal deep neural networks for assessing metastatic brain cancer on a massive open benchmark.. 2023
    Google ScholarCited by 5
  10. H Zheng, Y Zhu, LY Jiang, K Cho, EK Oermann. Making the most out of the limited context length: predictive power varies with clinical note type and note section. arXiv preprint arXiv:2307.07051, 2023
    Google ScholarCited by 4
  11. G Price, ML Martini, JM Caridi, D Lau, EK Oermann, SN Neifert. A Nationwide study characterizing the risk and outcome profiles of multilevel fusion procedures in neuromuscular scoliosis patients with Neurofibromatosis type 1. World Neurosurgery 171, e620-e630, 2023
    Google ScholarCited by 3
  12. ATM Cheung, M Nasir-Moin, EK Oermann. ChatGPT and the Law of the Horse. The American Journal of Bioethics 23 (10), 55-57, 2023
    Google ScholarCited by 1
  13. D Alber, E Lock, K Sangwon, A Smith, M Movahed-Ezazi, E Oermann, .... TMIC-84. A DEEP LEARNING-BASED METHOD FOR RAPID, PATIENT-SPECIFIC ASSAY OF MACROPHAGE INFILTRATION IN HIGH-GRADE GLIOMA USING LABEL-FREE STIMULATED RAMAN HISTOLOGY. Neuro-Oncology 25 (Supplement_5), v297-v297, 2023
    Google Scholar
  14. Z Yang, C Zhang, M Wu, X Liu, L Jiang, K Cho, E Oermann. [SRW] Intriguing Effect of the Correlation Prior on ICD-9 Code Assignment. The 61st Annual Meeting Of The Association For Computational Linguistics, 2023
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  15. Z Yang, C Zhang, M Wu, X Liu, L Jiang, K Cho, E Oermann. Intriguing Effect of the Correlation Prior on ICD-9 Code Assignment. Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
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  16. D Kondziolka, K Link, Z Schnurman, E Oermann. NYUMets: A massive, open-source, longitudinal annotated dataset of metastatic brain cancer for global use. JOURNAL OF NEUROSURGERY 138 (5), 2023
    Google Scholar
  17. A Cheung, MN Moin, F Kwon, J Guan, C Liu, L Jiang, C Raimondo, .... Neurosurgical Federated Learning: A Multi-Center Collaboration to Detect Intracranial Hemorrhage Without Directly Sharing Data. NEUROSURGERY 69, 68-68, 2023
    Google Scholar
  18. A Cheung, I Laufer, DR Pacione, D Lau, A Frempong-Boadu, .... Automated Development of a Spine Registry (Autoregistry) using an Interpretable Surgeon-Written Regular Expression Classifier. NEUROSURGERY 69, 70-70, 2023
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  19. G Price, ML Martini, JM Caridi, D Lau, EK Oermann, SN Neifert. 665 A Nationwide Study Characterizing the Risk and Outcome Profiles of Multilevel Fusion Procedures in Neuromuscular Scoliosis Patients With Neurofibromatosis Type 1. Neurosurgery 69 (Supplement_1), 27, 2023
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  20. A Cheung, MN Moin, F Kwon, J Guan, C Liu, L Jiang, C Raimondo, .... 316 Neurosurgical Federated Learning: A Multi-Center Collaboration to Detect Intracranial Hemorrhage Without Directly Sharing Data. Neurosurgery 69 (Supplement_1), 44-45, 2023
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  21. A Cheung, I Laufer, DR Pacione, D Lau, A Frempong-Boadu, .... 321 Automated Development of a Spine Registry (Autoregistry) using an Interpretable Surgeon-Written Regular Expression Classifier. Neurosurgery 69 (Supplement_1), 46-47, 2023
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  22. G von Oiste, V Narayan, MN Moin, E Raz, M Shapiro, C Rutledge, .... 113 The Use of Machine Learning of Carotid Web Angioarchitecture for Predicting Stroke Risk. Neurosurgery 69 (Supplement_1), 26-27, 2023
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  23. R Gologorsky, S Harake, W Couldwell, E Oermann, E McKean, T Hollon. Generating Novel Pituitary Datasets from Open-Source Imaging Data and Deep Volumetric Segmentation. Journal of Neurological Surgery Part B: Skull Base 84 (S 01), S075, 2023
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2022

  1. E Lotan, B Zhang, S Dogra, WD Wang, D Carbone, G Fatterpekar, .... Development and practical implementation of a deep learning–based pipeline for automated pre-and postoperative glioma segmentation. American Journal of Neuroradiology 43 (1), 24-32, 2022
    Google ScholarCited by 22
  2. AA Valliani, NC Kim, ML Martini, JS Gal, SN Neifert, R Feng, EA Geng, .... Robust prediction of non-home discharge after thoracolumbar spine surgery with ensemble machine learning and validation on a nationwide cohort. World Neurosurgery 165, e83-e91, 2022
    Google ScholarCited by 17
  3. AA Valliani, R Feng, ML Martini, SN Neifert, NC Kim, JS Gal, EK Oermann, .... Pragmatic prediction of excessive length of stay after cervical spine surgery with machine learning and validation on a national scale. Neurosurgery 91 (2), 322-330, 2022
    Google ScholarCited by 17
  4. AA Valliani, FF Gulamali, YJ Kwon, ML Martini, C Wang, D Kondziolka, .... Deploying deep learning models on unseen medical imaging using adversarial domain adaptation. PloS one 17 (10), e0273262, 2022
    Google ScholarCited by 10
  5. FF Gulamali, AS Sawant, P Kovatch, B Glicksberg, A Charney, .... Autoencoders for sample size estimation for fully connected neural network classifiers. npj Digital Medicine 5 (1), 180, 2022
    Google ScholarCited by 9
  6. SN Neifert, LD Cho, JS Gal, ML Martini, WH Shuman, EK Chapman, .... Neurosurgical performance in the first 2 years of merit-based incentive payment system: a descriptive analysis and predictors of receiving bonus payments. Neurosurgery 91 (1), 87-92, 2022
    Google ScholarCited by 9
  7. R Gologorsky, E Harake, G von Oiste, M Nasir-Moin, W Couldwell, .... Generating novel pituitary datasets from open-source imaging data and deep volumetric segmentation. Pituitary 25 (6), 842-853, 2022
    Google ScholarCited by 3
  8. G Yang, M Cao, LY Jiang, XC Liu, A Cheung, H Weiss, D Kurland, K Cho, .... Language model classifier aligns better with physician word sensitivity than XGBoost on readmission prediction. arXiv preprint arXiv:2211.07047, 2022
    Google ScholarCited by 3
  9. JW Rutland, JT Dullea, EK Oermann, R Feng, DF Villavisanis, S Gilja, .... Post-operative vision loss: analysis of 587 patients undergoing endoscopic surgery for pituitary macroadenoma. British Journal of Neurosurgery 36 (4), 494-500, 2022
    Google ScholarCited by 3
  10. M Nasir-Moin, L Wadiura, D Juros, M Movahed-Ezazi, M Lee, H Weiss, .... Localization of protoporphyrin IX in glioma patients with paired stimulated Raman histology and two-photon excitation fluorescence microscopy. 2022
    Google ScholarCited by 3
  11. KL Sangwon, EA Grin, B Negash, DD Wiggan, C Lapierre, E Raz, .... Intraoperative Evaluation of Dural Arteriovenous Fistula Obliteration Using FLOW 800 Hemodynamic Analysis. Operative Neurosurgery, 10.1227, 2022
    Google ScholarCited by 1
  12. M Nasir-Moin, LI Wadiura, D Juros, M Movahed-Ezazi, M Lee, H Weiss, .... SURG-24. QUANTITATIVE ANALYSIS OF TUMOR CELL DENSITY AND PROTOPORPHYRIN IX FLOURESCENCE IN GLIOMA PATIENTS USING PAIRED STIMULATED RAMAN HISTOLOGY AND TWO-PHOTON EXCITATION …. Neuro-oncology 24 (Supplement_7), vii257-vii257, 2022
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  13. KL Sangwon, X Han, A Becker, Y Zhang, R Ni, J Zhang, DA Alber, .... Automating the referral of bone metastases patients with and without the use of large language models. Neurosurgery, 10.1227, 2022
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  14. R Ber, A Valliani, A Liu, DB Kurland, DR Pacione, EK Oermann. 825 Can Applying Machine Learning on Perioperative Team Communication Data Change the Way we Predict Case-time Duration?. Neurosurgery 68 (Supplement_1), 139, 2022
    Google Scholar
  15. R Gologorsky, SS Somani, SN Neifert, AA Valliani, KE Link, VJ Chen, .... Population scale latent space cohort matching for the improved use and exploration of observational trial data. Mathematical Biosciences and Engineering 19 (7), 6795-6813, 2022
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2021

  1. I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, .... Federated learning for predicting clinical outcomes in patients with COVID-19. Nature medicine 27 (10), 1735-1743, 2021
    Google ScholarCited by 790
  2. SN Neifert, EK Chapman, ML Martini, WH Shuman, AJ Schupper, .... Aneurysmal subarachnoid hemorrhage: the last decade. Translational stroke research 12 (3), 428-446, 2021
    Google ScholarCited by 387
  3. M Flores, I Dayan, H Roth, A Zhong, A Harouni, A Gentili, A Abidin, A Liu, .... Federated Learning used for predicting outcomes in SARS-COV-2 patients. Research Square, rs. 3. rs-126892, 2021
    Google ScholarCited by 57
  4. A Puli, LH Zhang, EK Oermann, R Ranganath. Out-of-distribution generalization in the presence of nuisance-induced spurious correlations. arXiv preprint arXiv:2107.00520, 2021
    Google ScholarCited by 54
  5. E Klang, BR Kummer, NS Dangayach, A Zhong, MA Kia, P Timsina, .... Predicting adult neuroscience intensive care unit admission from emergency department triage using a retrospective, tabular-free text machine learning approach. Scientific reports 11 (1), 1381, 2021
    Google ScholarCited by 49
  6. ML Martini, AA Valliani, C Sun, AB Costa, S Zhao, F Panov, S Ghatan, .... Deep anomaly detection of seizures with paired stereoelectroencephalography and video recordings. Scientific reports 11 (1), 7482, 2021
    Google ScholarCited by 27
  7. ML Martini, SN Neifert, JS Gal, EK Oermann, JT Gilligan, JM Caridi. Drivers of prolonged hospitalization following spine surgery: a game-theory-based approach to explaining machine learning models. JBJS 103 (1), 64-73, 2021
    Google ScholarCited by 20
  8. ML Martini, SN Neifert, EK Oermann, JT Gilligan, RJ Rothrock, FJ Yuk, .... Application of cooperative game theory principles to interpret machine learning models of nonhome discharge following spine surgery. Spine 46 (12), 803-812, 2021
    Google ScholarCited by 17
  9. ML Martini, SN Neifert, WH Shuman, EK Chapman, AJ Schüpper, .... Rescue therapy for vasospasm following aneurysmal subarachnoid hemorrhage: a propensity score–matched analysis with machine learning. Journal of neurosurgery 136 (1), 134-147, 2021
    Google ScholarCited by 16
  10. SN Neifert, EK Chapman, ML Martini, WH Shuman, AJ Schupper, .... Aneurysmal subarachnoid hemorrhage: the last decade. Transl Stroke Res 12: 428–446. 2021
    Google ScholarCited by 11
  11. A Puli, LH Zhang, EK Oermann, R Ranganath. Predictive modeling in the presence of nuisance-induced spurious correlations. arXiv preprint arXiv:2107.00520, 2021
    Google ScholarCited by 9
  12. SN Neifert, EK Chapman, ML Martini, WH Shuman, AJ Schupper, .... Aneurysmal subarachnoid hemorrhage: the last decade. Transl Stroke Res 12 (3): 428–446. 2021
    Google ScholarCited by 7
  13. I Dayan, H Roth, A Zhong, A Harouni, A Gentili, A Abidin, A Liu, AB Costa, .... Federated learning for predicting clinical outcomes in covid-19 patients. 2021
    Google ScholarCited by 4
  14. B Murphy, M Nasir-Moin, G von Oiste, V Chen, HA Riina, D Kondziolka, .... Patient level simulation and reinforcement learning to discover novel strategies for treating ovarian cancer. arXiv preprint arXiv:2110.11872, 2021
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  18. EK Oermann, IM Germano. In pursuit of glioma diagnosis: the challenges and opportunities of deep neural network augmented analyses. Neuro-oncology 23 (1), 9-10, 2021
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  22. AAA Valliani, M Martini, S Neifert, J Gal, R Feng, N Kim, J Caridi, .... Reliable Prediction of Extended Length of Stay Following Non-fusion Spine Procedures using Machine Learning Validated on Nearly One Million Cases in the United States. JOURNAL OF NEUROSURGERY 135 (2), 69-69, 2021
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2020

  1. SN Neifert, ML Martini, F Yuk, IT McNeill, JM Caridi, J Steinberger, .... Predicting trends in cervical spinal surgery in the United States from 2020 to 2040. World neurosurgery 141, e175-e181, 2020
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  2. ML Martini, EK Oermann, NL Opie, F Panov, T Oxley, K Yaeger. Sensor modalities for brain-computer interface technology: a comprehensive literature review. Neurosurgery 86 (2), E108-E117, 2020
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  3. BH Cho, D Kaji, ZB Cheung, IB Ye, R Tang, A Ahn, O Carrillo, JT Schwartz, .... Automated measurement of lumbar lordosis on radiographs using machine learning and computer vision. Global spine journal 10 (5), 611-618, 2020
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  9. N Gorelik, J Chong, DJ Lin. Pattern recognition in musculoskeletal imaging using artificial intelligence. Seminars in musculoskeletal radiology 24 (01), 38-49, 2020
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  10. ML Martini, EK Oermann. Intraoperative brain tumour identification with deep learning. Nature Reviews Clinical Oncology 17 (4), 200-201, 2020
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  11. ML Martini, SN Neifert, EK Oermann, J Gal, K Rajan, DA Nistal, JM Caridi. Machine learning with feature domains elucidates candidate drivers of hospital readmission following spine surgery in a large single-center patient cohort. Neurosurgery 87 (4), E500-E510, 2020
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  15. RA Kessler, EK Oermann, NS Dangayach, J Bederson, J Mocco, .... changes in neurosurgery resident education during the COVID-19 pandemic: an institutional experience from a global epicenter. World Neurosurgery 140, 439, 2020
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  16. D Ranti, K Hanss, S Zhao, V Arvind, J Titano, A Costa, E Oermann. The utility of general domain transfer learning for medical language tasks. arXiv preprint arXiv:.06670, 2020, 2020
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  17. SN Neifert, IT McNeill, RJ Rothrock, JM Caridi, J Mocco, EK Oermann. Changing Causes of US Neurological Disease Mortality From 1999 to 2017. JAMA neurology 77 (9), 1175-1177, 2020
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  20. M Bydon, CM Schirmer, EK Oermann. Big data defined: a practical review for eurosurgeons. World Neurosurg 133, e842–e849. 2020
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  21. YJ Kwon, D Toussie, GA Reina, PTP Tang, AH Doshi, EK Oermann, .... Autoencoder Image Compression Algorithm for Reduction of Resource Requirements. 34th Conference on Neural Information Processing Systems (NeurIPS), 2020
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  22. M Martini, A Costa, K Rajan, F Panov, E Oermann. Deep, self-supervised learning for patient-specific anomaly detection in stereoelectroencephalography. JOURNAL OF NEUROSURGERY 132 (4), 37-37, 2020
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  25. T Hardigan, C Kellner, EK Oermann. Commentary: Predicting Long-Term Outcomes After Poor-Grade Aneurysmal Subarachnoid Hemorrhage Using Decision Tree Modeling. Neurosurgery 87 (3), E291-E292, 2020
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2019

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  2. AAA Valliani, D Ranti, EK Oermann. Deep learning and neurology: a systematic review. Neurology and therapy 8 (2), 351-365, 2019
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  3. NC Swinburne, J Schefflein, Y Sakai, EK Oermann, JJ Titano, I Chen, .... Machine learning for semiautomated classification of glioblastoma, brain metastasis and central nervous system lymphoma using magnetic resonance advanced imaging. Annals of translational medicine 7 (11), 232, 2019
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  4. KA Yaeger, M Martini, G Yaniv, EK Oermann, AB Costa. United States regulatory approval of medical devices and software applications enhanced by artificial intelligence. Health Policy and Technology 8 (2), 192-197, 2019
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  5. VJ Chen, G Hernandez-Meza, P Agrawal, CA Zhang, L Xie, CL Gong, .... Time on therapy for at least three months correlates with overall survival in metastatic renal cell carcinoma. Cancers 11 (7), 1000, 2019
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  7. J Zech, J Forde, JJ Titano, D Kaji, A Costa, EK Oermann. Detecting insertion, substitution, and deletion errors in radiology reports using neural sequence-to-sequence models. Annals of translational medicine 7 (11), 233, 2019
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  8. RS Bronheim, EK Oermann, DS Bronheim, JM Caridi. Revised cardiac risk index as a predictor for myocardial infarction and cardiac arrest following posterior lumbar decompression. Spine 44 (3), E187-E193, 2019
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  9. MA Badgeley, M Liu, BS Glicksberg, M Shervey, J Zech, K Shameer, .... CANDI: an R package and Shiny app for annotating radiographs and evaluating computer-aided diagnosis. Bioinformatics 35 (9), 1610-1612, 2019
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  10. AAA Valliani, D Ranti, EK Oermann. Deep learning and neurology: A systematic review. Neurology and Therapy, 8 (2), 351–365. 2019
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  11. AAA Valliani, D Ranti, EK Oermann. Deep learning and neurology: a systematic review. Neurol Ther 8 (2): 351–365. 2019
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  12. EK Oermann, Y Gologorsky. Artificial Intelligence in Clinical Neurosciences. World neurosurgery 126, 611-612, 2019
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  13. S Pan, SK Kannath, JE Rajan. Low-profile Neuroform Atlas stent-assisted coiling of intracranial aneurysms: single-center initial experience. Journal of Clinical Interventional Radiology ISVIR 3 (02), 117-121, 2019
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2018

  1. S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, .... Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge. arXiv preprint arXiv:1811.02629, 2018
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  2. JR Zech, MA Badgeley, M Liu, AB Costa, JJ Titano, EK Oermann. Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: a cross-sectional study. PLoS medicine 15 (11), e1002683, 2018
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  3. JJ Titano, M Badgeley, J Schefflein, M Pain, A Su, M Cai, N Swinburne, .... Automated deep-neural-network surveillance of cranial images for acute neurologic events. Nature medicine 24 (9), 1337-1341, 2018
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  4. JS Kim, RK Merrill, V Arvind, D Kaji, SD Pasik, CC Nwachukwu, L Vargas, .... Examining the ability of artificial neural networks machine learning models to accurately predict complications following posterior lumbar spine fusion. Spine 43 (12), 853-860, 2018
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  6. R Feng, M Badgeley, J Mocco, EK Oermann. Deep learning guided stroke management: a review of clinical applications. Journal of neurointerventional surgery 10 (4), 358-362, 2018
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  7. JR Zech, MA Badgeley, M Liu, AB Costa, JJ Titano, EK Oermann. Confounding variables can degrade generalization performance of radiological deep learning models. arXiv preprint arXiv:1807.00431, 2018
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  8. JS Kim, V Arvind, EK Oermann, D Kaji, W Ranson, C Ukogu, AK Hussain, .... Predicting surgical complications in patients undergoing elective adult spinal deformity procedures using machine learning. Spine deformity 6 (6), 762-770, 2018
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  9. V Arvind, JS Kim, EK Oermann, D Kaji, SK Cho. Predicting surgical complications in adult patients undergoing anterior cervical discectomy and fusion using machine learning. Neurospine 15 (4), 329, 2018
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  10. RJ Rothrock, IT McNeill, K Yaeger, EK Oermann, SK Cho, JM Caridi. Lumbar lordosis correction with interbody fusion: systematic literature review and analysis. World neurosurgery 118, 21-31, 2018
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  11. J Steinberger, RS Bronheim, P Vempati, EK Oermann, TR Ladner, NJ Lee, .... Morbidity and mortality of meningioma resection increases in octogenarians. World neurosurgery 109, e16-e23, 2018
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  12. MA Knoll, EK Oermann, AI Yang, I Paydar, J Steinberger, B Collins, .... Survival of patients with multiple intracranial metastases treated with stereotactic radiosurgery: does the number of tumors matter?. American journal of clinical oncology 41 (5), 425-431, 2018
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  13. R Feng, M Finkelstein, K Bilal, EK Oermann, M Palese, J Caridi. Trends and disparities in cervical spine fusion procedures utilization in the New York State. Spine 43 (10), E601-E606, 2018
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  14. RS Bronheim, EK Oermann, DS Bronheim, JM Caridi. Revised cardiac risk index versus ASA status as a predictor for noncardiac events after posterior lumbar decompression. World Neurosurgery 120, e1175-e1184, 2018
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  16. RS Bronheim, EK Oermann, SK Cho, JM Caridi. Coagulation profile as a risk factor for 30-day morbidity following cervical laminectomy and fusion. Spine 43 (4), 239-247, 2018
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  17. RJ Rothrock, IT McNeill, K Yaeger, EK Oermann, SK Cho, JM Caridi. Lumbar lordosis correction with interbody fusion: systematic literature review and analysis. World Neurosurg 118: 21–31. 2018
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  18. JR Zech, MA Badgeley, M Liu, AB Costa, JJ Titano, EK Oermann. Confounding variables can degrade generalization performance of radiological deep learning models. arXiv. CV, e1002683, 2018
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  19. R Feng, M Badgeley, J Mocco, EK Oermann. Deep learning guided stroke management: a review of clinical applications. J Neurointerv Surg 10 (4): 358–362. 2018
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  20. JR Zech, MA Badgeley, M Liu, AB Costa, JJ Titano, EK Oermann. Confounding variables can degrade generalization performance of radiological deep learning models. arXiv e-prints, art. arXiv preprint arXiv:1807.00431, 2018
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  21. R Feng, M Badgeley, J Mocco, EK Oermann. Deep learning guided stroke management: a review of clinical applications. J Neurointerv Surg 2018; 10: 358–62. 2018
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  22. JS Kim, RK Merrill, V Arvind, D Kaji, SD Pasik, CC Nwachukwu, L Vargas, .... Examining the ability of artificial neural networks machine learning models to accurately predict complications following posterior lumbar spine fusion. Spine (Phila Pa 1976 …. 2018
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2017

  1. CA Sarkiss, KJ Riley, CM Hernandez, EK Oermann, TR Ladner, .... Academic productivity of US neurosurgery residents as measured by H-index: program ranking with correlation to faculty productivity. Neurosurgery 80 (6), 975-984, 2017
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  2. RS Bronheim, EK Oermann, SK Cho, JM Caridi. Coagulation profile as a risk factor for 30-day morbidity and mortality following posterior lumbar fusion. Spine 42 (12), 950-957, 2017
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  3. JR Mascitelli, CP Kellner, CS Oravec, RA De Leacy, EK Oermann, .... Factors associated with successful revascularization using the aspiration component of ADAPT in the treatment of acute ischemic stroke. Journal of neurointerventional surgery 9 (7), 636-640, 2017
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  4. V Arvind, A Costa, M Badgeley, S Cho, E Oermann. Wide and deep volumetric residual networks for volumetric image classification. arXiv preprint arXiv:1710.01217, 2017
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  5. R Feng, EK Oermann, R Shrivastava, A Gold, BT Collins, D Kondziolka, .... Stereotactic radiosurgery for melanoma brain metastases: a comprehensive clinical case series. World Neurosurgery 100, 297-304, 2017
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  6. JS Multani, EK Oermann, J Titano, J Mascitelli, K Nicol, R Feng, B Skovrlj, .... Quantitative computed tomography ventriculography for assessment and monitoring of hydrocephalus: a pilot study and description of method in subarachnoid hemorrhage. World neurosurgery 104, 136-141, 2017
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  7. R Feng, M Finkelstein, EK Oermann, M Palese, JM Caridi. Trends and Disparities in Cervical Spine Fusion Procedure Utilization in the New York State. NEUROSURGERY 64, 276-276, 2017
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2016

  1. EK Oermann, A Rubinsteyn, D Ding, J Mascitelli, RM Starke, JB Bederson, .... Using a machine learning approach to predict outcomes after radiosurgery for cerebral arteriovenous malformations. Scientific reports 6 (1), 21161, 2016
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  2. AJ Awad, CA Sarkiss, CP Kellner, J Steinberger, JR Mascitelli, .... Impact of neurosurgery medical student research grants on neurosurgery residency choice. World neurosurgery 92, 349-352, 2016
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  3. CG Benjamin, EK Oermann, JA Thomas, CT Distaso, FA Sandhu. Minimally invasive direct lateral transpsoas approach for the resection of a lumbar plexus schwannoma: technique report. The Surgery Journal 2 (03), e66-e69, 2016
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  4. CA Sarkiss, JA Papin, A Yao, J Lee, RK Sefcik, EK Oermann, EL Gordon, .... Day of surgery impacts outcome: rehabilitation utilization on hospital length of stay in patients undergoing elective meningioma resection. World Neurosurgery 93, 127-132, 2016
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  5. JR Mascitelli, N Wilson, H Shoirah, RA De Leacy, SV Furtado, .... The impact of evidence: evolving therapy for acute ischemic stroke in a large healthcare system. Journal of neurointerventional surgery 8 (11), 1129-1135, 2016
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  6. I Paydar, EK Oermann, M Knoll, J Lee, BT Collins, M Ewend, .... The Value of the history and physical for patients with newly diagnosed brain metastases considering radiosurgery. Frontiers in Oncology 6, 40, 2016
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  7. EK Oermann, A Rubinsteyn, D Ding, J Mascitelli, RM Starke, JB Bederson, .... Using a machine learning approach to predict outcomes after radiosurgery for cerebral arteriovenous malformations. Sci Rep 6: 21161. 2016
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  8. R Feng, EK Oermann, T Oxley, R Shrivastava. Unique extrancranial-to-intracranial neovascularization found on diagnostic angiography prior to skull base atypical grade 2 meningioma resection: a case report and hypothesis. World Neurosurgery 95, 617. e1-617. e6, 2016
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2015

  1. JR Mascitelli, H Moyle, EK Oermann, MF Polykarpou, AA Patel, AH Doshi, .... An update to the Raymond–Roy occlusion classification of intracranial aneurysms treated with coil embolization. Journal of neurointerventional surgery 7 (7), 496-502, 2015
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  2. EK Oermann, D Ding, CP Yen, RM Starke, JB Bederson, D Kondziolka, .... Effect of prior embolization on cerebral arteriovenous malformation radiosurgery outcomes: a case-control study. Neurosurgery 77 (3), 406-417, 2015
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  3. HKM Vollan, OM Rueda, SF Chin, C Curtis, G Turashvili, S Shah, .... A tumor DNA complex aberration index is an independent predictor of survival in breast and ovarian cancer. Molecular oncology 9 (1), 115-127, 2015
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  4. JR Mascitelli, EK Oermann, RA De Leacy, H Moyle, J Mocco, AB Patel. Predictors of treatment failure following coil embolization of intracranial aneurysms. Journal of Clinical Neuroscience 22 (8), 1275-1281, 2015
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  5. JW Lischalk, E Oermann, SP Collins, MN Nair, VV Nayar, R Bhasin, .... Five-fraction stereotactic radiosurgery (SRS) for single inoperable high-risk non-small cell lung cancer (NSCLC) brain metastases. Radiation Oncology 10 (1), 216, 2015
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  7. JR Mascitelli, RA De Leacy, EK Oermann, B Skovrlj, EE Smouha, .... Cervical–petrous internal carotid artery pseudoaneurysm presenting with otorrhagia treated with endovascular techniques. Journal of neurointerventional surgery 7 (7), e25-e25, 2015
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  10. CA Sarkiss, J Lee, J Papin, Y Yao, EK Oermann, E Gordon, KD Post, .... 150 the effect of day of surgery and rehabilitation utilization on hospital length of stay in patients undergoing elective meningioma resection. Neurosurgery 62, 214-215, 2015
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  11. MA Knoll, E Oermann, AI Yang, S Green, BT Collins, SP Collins, M Ewend, .... Number of Brain Metastases Treated With Radiosurgery Is Not Associated With Long-term Survival. International Journal of Radiation Oncology, Biology, Physics 93 (3), E72, 2015
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  13. T Ladner, F Panov, EK Oermann. Anorexia Nervosa: Neurosurgery, Nosology, and First Do No Harm. AJOB Neuroscience 6 (4), 77-78, 2015
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  14. PC Gerszten, E Paschel, R Grandhi, D Okonkwo, A Kanter, YF Chang, .... 860. Outcome of Mechanical Thrombectomy in the Elderly for the Treatment of Acute Ischemic Stroke. Journal of Neurosurgery 123 (2), A479-A541, 2015
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2014

  1. SR Sharpton, EK Oermann, DT Moore, E Schreiber, R Hoffman, DE Morris, .... The volumetric response of brain metastases after stereotactic radiosurgery and its post-treatment implications. Neurosurgery 74 (1), 9-16, 2014
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  2. JA Woo, LN Chen, A Bhagat, EK Oermann, JS Kim, R Moures, T Yung, .... Clinical characteristics and management of late urinary symptom flare following stereotactic body radiation therapy for prostate cancer. Frontiers in oncology 4, 122, 2014
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  3. EK Oermann, N Murthy, V Chen, A Baimeedi, D Sasaki-Adams, K McGrail, .... A multicenter retrospective study of frameless robotic radiosurgery for intracranial arteriovenous malformation. Frontiers in Oncology 4, 298, 2014
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  4. JR Mascitelli, H Moyle, EK Oermann, MF Polykarpou, AA Patel, AH Doshi, .... et-al. An update to the Raymond-Roy occlusion classification of intracranial aneurysms treated with coil embolization. J Neurointerv Surg. 2015; 7 (7): 496-502. NEURINTSURG--011258, 0, 2014
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  5. EK Oermann. Death, Hume, emotions, and the essential role of the physician. The American journal of bioethics 14 (8), 47-48, 2014
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  6. JAL Woo, LN Chen, E Oermann, V Chen, TM Yung, JS Kim, BT Collins, .... Clinical characteristics and management of late symptom flare following stereotactic body radiation therapy for clinically localized prostate cancer.. Journal of Clinical Oncology 32 (4_suppl), 194-194, 2014
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  7. EK Oermann, MAS Kress, JV Todd. Bestrahlungsresistenz von Hirntumoren auch gültig für stereotaktische Radiochirurgie. Neurochirurgie Scan 2 (03), 183-183, 2014
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2013

  1. LN Chen, S Suy, S Uhm, EK Oermann, AW Ju, V Chen, HN Hanscom, .... Stereotactic body radiation therapy (SBRT) for clinically localized prostate cancer: the Georgetown University experience. Radiation oncology 8 (1), 58, 2013
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  2. A Srivastava, H Goldberger, A Dimtchev, M Ramalinga, J Chijioke, .... MicroRNA profiling in prostate cancer-the diagnostic potential of urinary miR-205 and miR-214. PloS one 8 (10), e76994, 2013
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  3. EK Oermann, MAS Kress, BT Collins, SP Collins, D Morris, SC Ahalt, .... Predicting survival in patients with brain metastases treated with radiosurgery using artificial neural networks. Neurosurgery 72 (6), 944-952, 2013
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  4. EK Oermann, MAS Kress, JV Todd, BT Collins, R Hoffman, H Chaudhry, .... The impact of radiosurgery fractionation and tumor radiobiology on the local control of brain metastases. Journal of Neurosurgery 119 (5), 1131-1138, 2013
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  5. AW Ju, H Wang, EK Oermann, BA Sherer, S Uhm, VJ Chen, .... Hypofractionated stereotactic body radiation therapy as monotherapy for intermediate-risk prostate cancer. Radiation oncology 8 (1), 30, 2013
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  6. EK Oermann, R Bhandari, VJ Chen, G Lebec, M Gurka, S Lei, L Chen, .... Five fraction image-guided radiosurgery for primary and recurrent meningiomas. Frontiers in oncology 3, 213, 2013
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  7. MAS Kress, E Oermann, MG Ewend, RB Hoffman, H Chaudhry, B Collins. Stereotactic radiosurgery for single brain metastases from non-small cell lung cancer: progression of extracranial disease correlates with distant intracranial failure. Radiation Oncology 8 (1), 64, 2013
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  8. EK Oermann, MAS Kress, JV Todd, BT Collins, R Hoffman, H Chaudry, .... The biological advantage of single-session radiosurgery Response. JOURNAL OF NEUROSURGERY 119 (5), 1130-1130, 2013
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  9. EK Oermann. Ode Upon an Open Brain. Neurology 80 (21), e218-e219, 2013
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2012

  1. EK Oermann, J Wu, KL Guan, Y Xiong. Alterations of metabolic genes and metabolites in cancer. Seminars in cell & developmental biology 23 (4), 370-380, 2012
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  2. VJ Chen, E Oermann, S Vahdat, J Rabin, S Suy, X Yu, SP Collins, .... CyberKnife with tumor tracking: an effective treatment for high-risk surgical patients with stage I non-small cell lung cancer. Frontiers in oncology 2, 9, 2012
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  3. B Gill, E Oermann, A Ju, S Suy, X Yu, J Rabin, C Kalhorn, MN Nair, .... Fiducial-free CyberKnife stereotactic body radiation therapy (SBRT) for single vertebral body metastases: acceptable local control and normal tissue tolerance with 5 fraction …. Frontiers in oncology 2, 39, 2012
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  4. JW Snider, EK Oermann, V Chen, J Rabin, S Suy, X Yu, S Vahdat, .... CyberKnife with tumor tracking: an effective treatment for high-risk surgical patients with single peripheral lung metastases. Frontiers in oncology 2, 63, 2012
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  5. H Chaudhry, E Oermann, S Suy, X Yu, SP Collins, W Barnes, BT Collins. Stereotactic body radiation therapy (SBRT) for single small (< 5 cm) extracranial ovarian or uterine cancer metastases: promising local control and normal tissue tolerance with …. International Journal of Radiation Oncology, Biology, Physics 84 (3), S448, 2012
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  6. EK Oermann, MG Ewend, EJ Hadar. Psychiatric nosology and multidisciplinary therapy: Structura et mechanismus ad curare. AJOB Neuroscience 3 (4), 58-60, 2012
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  7. EK Oermann, J Wu, BT Collins, DE Morris, MG Ewend. Comparison of fractionated and single session radiosurgery for radiation resistant brain metastases.. Journal of Clinical Oncology 30 (15_suppl), -2091, 2012, 2012
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  8. EK Oermann, M Ewend. Lying to care for patients: Hegelian tragedy or MacIntyrean triumph?. The American Journal of Bioethics 12 (3), 13-14, 2012
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  9. ADMD Sean P. Collins M.D., Ph.D., Simeng Suy Ph.D. Patient selection for robotic radiosurgery for clinically localized prostate cancer: come one, come all. 2012
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  10. R Bhandari, E Oermann, M Gurka, S Suy, C Kalhorn, K McGrail, .... Five Fraction Image-guided Radiosurgery for Benign Meningiomas. International Journal of Radiation Oncology, Biology, Physics 84 (3), S275, 2012
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  11. AW Ju, S Suy, S Lei, EK Oermann, BA Sherer, HN Hanscom, JS Kim, .... A Dosimetric and Clinical Evaluation of Monotherapy With Hypofractionated Stereotactic Body Radiation Therapy in the Treatment of Intermediate-Risk Prostate Cancer. International Journal of Radiation Oncology, Biology, Physics 84 (3), S827, 2012
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  12. V Chen, S Suy, EK Oermann, S Uhm, JS Kim, HN Hanscom, BT Collins, .... Stereotactic Body Radiation Therapy for Clinically Localized Prostate Cancer. International Journal of Radiation Oncology, Biology, Physics 84 (3), S376, 2012
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  13. S Kataria, R Malik, E Oermann, S Vahdaat, S Suy, X Yu, L Campbell, .... CyberKnife Stereotactic Body Radiation Therapy for Inoperable Stage II Non-small Cell Lung Cance. Chest 142 (4), 755A, 2012
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2011

  1. S Lei, N Piel, EK Oermann, V Chen, AW Ju, KN Dahal, HN Hanscom, .... Six-dimensional correction of intrafractional prostate motion with cyberknife stereotactic body radiation therapy. Front Oncol 1: 48–48. 2011
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  2. BT Collins, S Vahdat, SP Collins, EK Oermann, Y Xia, C Reichner, .... CYBERKNIFE RADIOSURGERY FOR INOPERABLE PATIENTS WITH PERIPHERAL STAGE IA:(S005). The International Journal of Medical Robotics and Computer Assisted Surgery 7, 1, 2011
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  3. C DeCotiis, E Oermann, M Wooster, J Rabin, S Suy, S Collins, X Yu, .... Salvage Robotic Radiosurgery for Central Non-small Cell Lung Cancer (NSCLC) Conventional Radiation Failures. Chest 140 (4), 1049A, 2011
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  4. D Casey, E Oermann, V Chen, S Vahdat, S Suy, X Yu, S Collins, .... Pulmonary Function Tests One Year Following Robotic Radiosurgery for High-Risk Surgical Patients With Stage I Non-small Cell Lung Cancer. Chest 140 (4), 317A, 2011
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  5. BS Gill, AW Ju, EK Oermann, S Suy, X Yu, J Rabin, S Vahdat, SP Collins, .... Robotic Radiosurgery for Vertebral Body Metastases: Excellent Local Control and Spinal Cord Tolerance with 5 Fraction Regimen. International Journal of Radiation Oncology, Biology, Physics 81 (2), S294-S295, 2011
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  6. EK Oermann. Moral Persuasiveness, Rhetoric, and the Success of Moral Conservatives’ Empirical Essentialism. AJOB Neuroscience 2 (2), 42-43, 2011
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2010

  1. K Michaud, DA Solomon, E Oermann, JS Kim, WZ Zhong, MD Prados, .... Pharmacologic inhibition of cyclin-dependent kinases 4 and 6 arrests the growth of glioblastoma multiforme intracranial xenografts. Cancer research 70 (8), 3228-3238, 2010
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  2. S Vahdat, EK Oermann, SP Collins, X Yu, M Abedalthagafi, P DeBrito, .... CyberKnife radiosurgery for inoperable stage IA non-small cell lung cancer: 18F-fluorodeoxyglucose positron emission tomography/computed tomography serial tumor response assessment. Journal of hematology & oncology 3 (1), 6, 2010
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  3. K Unger, A Ju, E Oermann, S Suy, X Yu, S Vahdat, D Subramaniam, .... CyberKnife for hilar lung tumors: report of clinical response and toxicity. Journal of hematology & oncology 3 (1), 39, 2010
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  4. EK Oermann, RS Slack, HN Hanscom, S Lei, S Suy, HU Park, JS Kim, .... A pilot study of intensity modulated radiation therapy with hypofractionated stereotactic body radiation therapy (SBRT) boost in the treatment of intermediate-to high-risk …. Technology in cancer research & treatment 9 (5), 453-462, 2010
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  5. S Suy, E Oermann, H Hanscom, S Lei, S Vahdat, X Yu, HU Park, V Chen, .... Histopathologic effects of hypofractionated robotic radiation therapy on malignant and benign prostate tissue. Technology in cancer research & treatment 9 (6), 583-587, 2010
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  6. EK Oermann, ND Coppa, M Margolis, FA Sandhu. Extramedullary hematopoietic tumor mimicking a thoracic nerve root schwannoma: Case report. Journal of Neurosurgery: Spine 13 (1), 78-81, 2010
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  7. E Oermann, HS Hanscom, S Lei, S Suy, V Chen, BT Collins, A Dritschilo, .... Hypofractionated robotic radiosurgery for the treatment of clinically localized prostate cancer: Early biochemical results and acute toxicity.. Journal of Clinical Oncology 28 (15_suppl), e15134-e15134, 2010
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  8. BT Collins, EK Oermann, S Vahdat, S Suy, Y Xia, SP Collins, F Banovac, .... Robotic Radiosurgery: An Effective Alternative to Wedge Resection for High-Risk Patients With Peripheral Stage I Non-small Cell Lung Cancer. Chest 138 (4), 885A, 2010
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  9. K Unger, A Ju, E Oermann, C DeCotiis, DS Subramaniam, S Collins, .... Robotic Radiosurgery for Hilar Lung Tumors: Report of Local Control and Survival. Chest 138 (4), 262A, 2010
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  10. E Oermann, BT Collins, KT Erickson, X Yu, S Lei, S Suy, HN Hanscom, .... Research CyberKnife® enhanced conventionally fractionated chemoradiation for high grade glioma in close proximity to critical structures. 2010
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  11. E Oermann, BT Collins, KT Erickson, X Yu, S Lei, S Suy, HN Hanscom, .... Journal of Hematology & Oncology. Journal of Hematology & Oncology 3, 22, 2010
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2009

  1. BT Collins, CA Reichner, SP Collins, E Oermann, S Vahdat, M Margolis, .... RADICAL STEREOTACTIC RADIOSURGERY (RSR) FOR INOPERABLE PATIENTS WITH PERIPHERAL STAGE IA NON-SMALL CELL LUNG CANCER (NSCLC): BASELINE POSTBRONCHODILATOR PERCENT PREDICTED …. Chest 136 (4), 41S, 2009
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2008

  1. YM Shuba, CJ Dietrich, E Oermann, L Cleemann, M Morad. Local extracellular acidification caused by Ca< sup> 2+</sup>-dependent exocytosis in PC12 cells. Cell calcium 44 (2), 220-229, 2008
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Unknown

  1. S Collins, S Lei, N Piel, EK Oermann, VJ Chen, AW Ju, KN Dahal, .... Frontiers: Six-dimensional correction of intra-fractional prostate motion with CyberKnife stereotactic body radiation therapy. Frontiers in Radiation Oncology 1, 0,
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  2. O Eric, S Simeng, H Heather, K Joy, L Sue, Y Xia, Z Guowei, E Brook, .... Low incidence of new biochemical and clinical hypogonadism following hypofractionated stereotactic body radiation therapy (SBRT) monotherapy for low- to intermediate-risk …. Journal of Hematology & Oncology 4, 0,
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  3. E Oermann, BT Collins, KT Erickson, X Yu, S Lei, S Suy, HN Hanscom, .... CyberKnife® enhanced conventionally fractionated chemoradiation for high grade glioma in close proximity to critical structures.
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  4. SN Neifert, EK Chapman, ML Martini, WH Shuman, AJ Schupper, .... Aneurysmal subarachnoid hemorrhage: the last decade. Transl Stroke Res. 2021; 12 (3): 428–46.
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  5. JR Zech, MA Badgeley, M Liu, AB Costa, JJ Titano, EK Oermann. Confounding variables can degrade generalization performance of radiological deep learning models. arXiv [csCV]. 2018.
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  6. SN Neifert, EK Chaman, T Hardigan, TR Ladner, R Feng, JM Caridi, .... Increases in Subdural Hematoma with an Aging Population-the Future of American Cerebrovascular Disease. World Neurosurg, 2020. 141: p. e166–e174.
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  7. JR Zech, MA Badgeley, M Liu, AB Costa, JJ Titano, EK Oermann. Confounding variables can degrade generalization performance of radiological deep learning models. 2018. arXiv preprint arXiv:1807.00431, 1807,
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  8. RJ Rothrock, IT McNeill, K Yaeger, EK Oermann, SK Cho, JM Caridi. Lumbar lordosis correction with interbody fusion: systematic literature review and analysis. World Neurosurg. 2018; 118: 21–31.
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  9. SN Neifert, EK Chapman, ML Martini, WH Shuman, AJ Schupper, .... Aneurysmal subarachnoid hemorrhage: the last decade. Transl Stroke Res. 2021; 12: 428–46.
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  10. YJF Kwon, D Toussie, M Finkelstein, MA Cedillo, SZ Maron, S Manna, .... Combining initial radiographs and clinical variables improves deep learning prognostication in patients with COVID-19 from the emergency department. Radiol Artif Intell Mar …. DOI: https://doi. org/10.1148/ryai 2020200098, 0,
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  11. R Feng, M Badgeley, J Mocco, EK Oermann. Deep learning guided stroke management: a review of clinical applications. J NeuroIntervent Surg. 2018; 10: 358–362.
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  12. EK Oermann, A Rubinsteyn, D Ding, J Mascitelli, RM Starke, JB Bederson, .... Using a machine learning approach to predict outcomes after radiosurgery for cerebral arteriovenous malformations. Sci Rep. 2016; 6: 21161.
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  13. M Bydon, CM Schirmer, EK Oermann. Big Data Defined: A Practical Review for Neurosurgeons. World Neurosurg 2020; 133: e842-e849.
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  14. R Feng, M Badgeley, J Mocco, EK Oermann. Deep learning guided stroke management: a review of clinical applications. J. NeuroInterventional Surgery 10 (4), 358–362 (2018).
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  15. SN Neifert, EK Chapman, ML Martini, WH Shuman, AJ Schupper, .... Aneurysmal subarachnoid hemorrhage: the last decade, Transl Stroke Res 12 (3)(2021) 428–446.
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  16. D Ranti, AA Valliani, A Costa, EK Oermann. Artificial intelligence as applied to clinical neurological conditions. InArtificial Intelligence in Medicine 2021 Jan 1 (pp. 395-413). Academic Press, 0,
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  17. EK Oermann, A Rubinsteyn, D Ding, J Mascitelli, RM Starke, JB Bederson, .... Using a machine learning approach to predict outcomes after radiosurgery for cerebral arteriovenous malformations, Sci. Rep. 6 (2016) 21161.
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  18. JS Kim, RK Merrill, V Arvind, D Kaji, SD Pasik, CC Nwachukwu, L Vargas, .... Examining the Ability of Artificial Neural Networks Machine Learning Models to Accurately Predict Complications Following Posterior Lumbar Spine Fusion., 2018, 43. DOI: https://doi. org/10.1097/BRS 2442, 853-860, 0,
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  19. EK Oermann, R Bhandari, VJ Chen, G Lebec, M Gurka, S Lei, L Chen, .... Let us know how access to this document benefits yo u.
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  20. A Smith, N Maarouf, D Reinecke, N Goff, D Alber, E Lock, E Bianchini, .... Rapid Intraoperative Diagnostics for CNS Tumors: Advances in Raman Histology, Molecular Profiling, and Artificial Intelligence.
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  21. LN Chen, S Suy, S Uhm, EK Oermann, AW Ju, V Chen, HN Hanscom, .... Independent Georgetown Study Supports SBRT for Prostate Cancer Treatment.
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  22. ITAP Imaging, LN Chen, S Suy, S Uhm, EK Oermann, AW Ju, V Chen, .... Independent Georgetown Study Supports SBRT for Prostate Cancer Treatment.
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  23. NN Sean, TMN Ian, JR Robert, MC John, KO Eric. Changing Causes of US Neurological Disease Mortality From 1999 to 2017. JAMA neurology, 0,
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  24. U Keith, J Andrew, O Eric, S Simeng, Y Xia, V Saloomeh, S Deepa, .... CyberKnife for hilar lung tumors: report of clinical response and toxicity. Journal of Hematology & Oncology 3, 0,
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  25. S Lei, N Piel, EK Oermann, V Chen, AW Ju, KN Dahal, HN Hanscom, .... IN Radiation Oncology.
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