| Decorated model architecture for efficient model-driven application development B Halberstadt, E Hexter, Y Kossowsky, B Melamed, I Prager US Patent 8,095,570, 2012 | 18 | 2012 |
| Multimodal prediction of five-year breast Cancer recurrence in women who receive Neoadjuvant chemotherapy S Rabinovici-Cohen, XM Fernández, B Grandal Rejo, E Hexter, ... Cancers 14 (16), 3848, 2022 | 13 | 2022 |
| Virtual biopsy by using artificial intelligence–based multimodal modeling of binational mammography data V Barros, T Tlusty, E Barkan, E Hexter, D Gruen, M Guindy, M Rosen-Zvi Radiology 306 (3), e220027, 2022 | 6 | 2022 |
| Radiomics for predicting response to neoadjuvant chemotherapy treatment in breast cancer S Rabinovici-Cohen, T Tlusty, A Abutbul, K Antila, X Fernandez, BG Rejo, ... Medical imaging 2020: imaging informatics for healthcare, research, and …, 2020 | 6 | 2020 |
| FuseMedML: a framework for accelerated discovery in machine learning based biomedicine A Golts, M Raboh, Y Shoshan, S Polaczek, S Rabinovici-Cohen, E Hexter Journal of Open Source Software 8 (81), 4943, 2023 | 4 | 2023 |
| Self supervised contrastive learning on multiple breast modalities boosts classification performance S Perek, M Amit, E Hexter Predictive Intelligence in Medicine: 4th International Workshop, PRIME 2021 …, 2021 | 4 | 2021 |
| From Pixels to Diagnosis: Algorithmic Analysis of Clinical Oral Photos for Early Detection of Oral Squamous Cell Carcinoma S Rabinovici-Cohen, N Fridman, M Weinbaum, E Melul, E Hexter, ... Cancers 16 (5), 1019, 2024 | 2 | 2024 |
| Pre-biopsy multi-class classification of breast lesion pathology in mammograms T Tlusty, M Ozery-Flato, V Barros, E Barkan, M Amit, D Gruen, M Guindy, ... Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021 | 2 | 2021 |
| Decorated model architecture for efficient model-driven application development B Halberstadt, E Hexter, Y Kossowsky, B Melamed, I Prager US Patent 8,307,015, 2012 | 2 | 2012 |
| Classifying images using deep neural network with integrated acquisition information D Levanony, E Hexter US Patent 11,763,932, 2023 | 1 | 2023 |
| Impact of the COVID-19 Pandemic on Clinical Findings in Medical Imaging Exams in a Nationwide Israeli Health Organization: Observational Study M Ozery-Flato, L Ein-Dor, O Pinchasov, MD Kasa, E Hexter, G Chodick, ... JMIR Formative Research 7 (1), e42930, 2023 | 1 | 2023 |
| Annotating unlabeled data using classifier error rates D Levanony, E Hexter US Patent 11,526,700, 2022 | 1 | 2022 |
| Training set enrichment with insignificantly-abnormal medical images D Levanony, S Perek, E Hexter US Patent 11,301,720, 2022 | 1 | 2022 |
| Predictive and causal analysis of no-shows for medical exams during COVID-19: a case study of breast imaging in a nationwide Israeli health organization M Ozery-Flato, O Pinchasov, M Dabush-Kasa, E Hexter, G Chodick, ... AMIA Annual Symposium Proceedings 2021, 930, 2021 | 1 | 2021 |
| A glimpse into the future: Disease progression simulation for breast cancer in mammograms I Jubran, M Raboh, S Perek, D Gruen, E Hexter Simulation and Synthesis in Medical Imaging: 6th International Workshop …, 2021 | 1 | 2021 |
| Decorated model architecture for efficient model-driven application development B Halberstadt, E Hexter, Y Kossowsky, B Melamed, I Prager US Patent 8,635,253, 2014 | 1 | 2014 |
| A large dataset curation and benchmark for drug target interaction A Golts, V Ratner, Y Shoshan, M Raboh, S Polaczek, M Ozery-Flato, ... arXiv preprint arXiv:2401.17174, 2024 | | 2024 |
| Preoperative Kidney Tumor Risk Estimation from CT Imaging for Adjuvant Treatment Prediction V Barros, N Abdallah, M Raboh, N Heller, S Rabinovici-Cohen, A Golts, ... | | 2023 |
| Method for enriched training by using predicted features obtained from multiple models S Rabinovici-Cohen, S Perek, TT Shapiro, E Hexter US Patent App. 17/495,394, 2023 | | 2023 |
| MRI annotation S Rabinovici-Cohen, S Perek, TT Shapiro, D Levanony, E Hexter, ... US Patent 11,620,746, 2023 | | 2023 |
