| Clinical implementation of artificial intelligence in neuroradiology with development of a novel workflow-efficient picture archiving and communication system-based automated … M Aboian, K Bousabarah, E Kazarian, T Zeevi, W Holler, S Merkaj, ... Frontiers in Neuroscience 16, 860208, 2022 | 17 | 2022 |
| Machine learning in differentiating gliomas from primary CNS lymphomas: a systematic review, reporting quality, and risk of bias assessment GIC Petersen, J Shatalov, T Verma, WR Brim, H Subramanian, A Brackett, ... American Journal of Neuroradiology 43 (4), 526-533, 2022 | 11 | 2022 |
| Machine learning tools for image-based glioma grading and the quality of their reporting: Challenges and opportunities S Merkaj, RC Bahar, T Zeevi, MD Lin, I Ikuta, K Bousabarah, ... Cancers 14 (11), 2623, 2022 | 9 | 2022 |
| Acetylcholine regulates olfactory perceptual learning through effects on adult neurogenesis AS Nitenson, GM Nieves, DL Poeta, R Bahar, C Rachofsky, N Mandairon, ... IScience 22, 544-556, 2019 | 9 | 2019 |
| Machine learning models for classifying high-and low-grade gliomas: a systematic review and quality of reporting analysis RC Bahar, S Merkaj, GI Cassinelli Petersen, N Tillmanns, H Subramanian, ... Frontiers in Oncology 12, 856231, 2022 | 7 | 2022 |
| The pipeline starts in medical school: characterizing clinician-educator training programs for US medical students RC Bahar, AW O’Shea, ES Li, MA Swallow, AA Allocco, JM Spak, ... Medical Education Online 27 (1), 2096841, 2022 | 5 | 2022 |
| Identifying clinically applicable machine learning algorithms for glioma segmentation: recent advances and discoveries N Tillmanns, AE Lum, G Cassinelli, S Merkaj, T Verma, T Zeevi, L Staib, ... Neuro-Oncology Advances 4 (1), vdac093, 2022 | 5 | 2022 |
| Incrementally Training a PACS-based Deep Learning Automatic Glioma Segmentation Algorithm For Clinical Implementation KB Sara Merkaj, MD Lin, A Pala, G Cassinelli, L Jekel, R Bahar, ... International Society for Magnetic Resonance in Medicine (ISMRM), 2022 | 2 | 2022 |
| NIMG-23. MACHINE LEARNING METHODS IN GLIOMA GRADE PREDICTION: A SYSTEMATIC REVIEW R Bahar, S Merkaj, W Rose Brim, H Subramanian, T Zeevi, E Kazarian, ... Neuro-Oncology 23 (Supplement_6), vi133, 2021 | 2 | 2021 |
| Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction J Lost, T Verma, L Jekel, M von Reppert, N Tillmanns, S Merkaj, ... American Journal of Neuroradiology 44 (10), 1126-1134, 2023 | 1 | 2023 |
| NIMG-35. MACHINE LEARNING GLIOMA GRADE PREDICTION LITERATURE: A TRIPOD ANALYSIS OF REPORTING QUALITY S Merkaj, R Bahar, WR Brim, H Subramanian, T Zeevi, E Kazarian, M Lin, ... Neuro-Oncology 23 (Supplement_6), vi136-vi136, 2021 | 1 | 2021 |
| Comparison of volumetric and 2D-based response methods in the PNOC-001 pediatric low-grade glioma clinical trial M von Reppert, D Ramakrishnan, SC Brüningk, F Memon, S Abi Fadel, ... Neuro-Oncology Advances 6 (1), vdad172, 2024 | | 2024 |
| Neuro-Oncology Advances M von Reppert, D Ramakrishnan, SC Brüningk, F Memon, S Abi Fadel, ... | | 2023 |
| Deciphering the Clinical Trials of Immunotherapy in Glioblastoma: What a Neuroradiologist Needs to Know FN Varzaneh, S Merkaj, GC Petersen, RC Bahar, L Jekel, A Pala, ... Neurographics 12 (4), 176-187, 2022 | | 2022 |
| A Values-Based Approach for Quantifying Educational Efforts in Neurology RC Bahar, MA Swallow, S Larkin, R Belitsky, J Moeller Neurology: Education, 2022 | | 2022 |
| Integration of Machine Learning Into Clinical Radiology Practice–Development of a Machine Learning Tool for Preoperative Glioma Grade Prediction (P14-9.002) S Merkaj, T Zeevi, K Bousabarah, E Kazarian, MD Lin, A Pala, ... Neurology 98 (18 Supplement), 2022 | | 2022 |
| Comparing Deep Learning and Classical Machine Learning Methods For Differentiating Primary CNS Lymphomas From Gliomas–A Systematic Review (P14-9.004) GC Petersen, J Shatalov, T Verma, W Brim, S Merkaj, R Bahar, ... Neurology 98 (18 Supplement), 2022 | | 2022 |
| Development of a workflow efficient PACS based automated brain tumor segmentation and radiomic feature extraction for clinical implementation (N2. 003) M Aboian, K Bousabarah, E Kazarian, T Zeevi, W Holler, S Merkaj, ... Neurology 98 (18 Supplement), 2022 | | 2022 |
| Semi-Automated Longitudinal Lesion Tracking In PACS Reveals High Proportion of Metastatic Lesions Showing Mixed Response To Radiosurgery (P14-9.001) GC Petersen, T Verma, K Bousabarah, L Jekel, S Merkaj, R Bahar, ... Neurology 98 (18 Supplement), 2022 | | 2022 |
| Neuro-Oncology Advances N Tillmanns, AE Lum, G Cassinelli, S Merkaj, T Verma, T Zeevi, L Staib, ... | | 2022 |
