| Medical image synthesis for data augmentation and anonymization using generative adversarial networks HC Shin, NA Tenenholtz, JK Rogers, CG Schwarz, ML Senjem, JL Gunter, ... Simulation and Synthesis in Medical Imaging: Third International Workshop …, 2018 | 859* | 2018 |
| A foundation model for clinical-grade computational pathology and rare cancers detection E Vorontsov, A Bozkurt, A Casson, G Shaikovski, M Zelechowski, ... Nature medicine 30 (10), 2924-2935, 2024 | 110 | 2024 |
| Protein generation with evolutionary diffusion: sequence is all you need S Alamdari, N Thakkar, R van den Berg, N Tenenholtz, B Strome, ... BioRxiv, 2023.09. 11.556673, 2023 | 86 | 2023 |
| Virchow: A million-slide digital pathology foundation model E Vorontsov, A Bozkurt, A Casson, G Shaikovski, M Zelechowski, S Liu, ... arXiv preprint arXiv:2309.07778, 2023 | 78 | 2023 |
| Fully-automated analysis of body composition from CT in cancer patients using convolutional neural networks CP Bridge, M Rosenthal, B Wright, G Kotecha, F Fintelmann, F Troschel, ... OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy …, 2018 | 71 | 2018 |
| Patient-specific mitral leaflet segmentation from 4D ultrasound RJ Schneider, NA Tenenholtz, DP Perrin, GR Marx, PJ del Nido, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 68 | 2011 |
| Facilitating artificial intelligence integration into systems using a distributed learning platform J Kalafut, K Dreyer, M Michalski, S Pomerantz, S Doyle, N Tenenholtz US Patent 10,957,442, 2021 | 67 | 2021 |
| Initialization and regularization of factorized neural layers M Khodak, N Tenenholtz, L Mackey, N Fusi arXiv preprint arXiv:2105.01029, 2021 | 64 | 2021 |
| Using DICOM metadata for radiological image series categorization: a feasibility study on large clinical brain MRI datasets R Gauriau, C Bridge, L Chen, F Kitamura, NA Tenenholtz, JE Kirsch, ... Journal of digital imaging 33, 747-762, 2020 | 42 | 2020 |
| DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning JT Lu, R Brooks, S Hahn, J Chen, V Buch, G Kotecha, KP Andriole, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 39 | 2019 |
| The need for a machine learning curriculum for radiologists MJ Wood, NA Tenenholtz, JR Geis, MH Michalski, KP Andriole Journal of the American College of Radiology 16 (5), 740-742, 2019 | 35 | 2019 |
| 4D CNN for semantic segmentation of cardiac volumetric sequences A Myronenko, D Yang, V Buch, D Xu, A Ihsani, S Doyle, M Michalski, ... Statistical Atlases and Computational Models of the Heart. Multi-Sequence …, 2020 | 27 | 2020 |
| Virchow2: Scaling self-supervised mixed magnification models in pathology E Zimmermann, E Vorontsov, J Viret, A Casson, M Zelechowski, ... arXiv preprint arXiv:2408.00738, 2024 | 26 | 2024 |
| On the design of an interactive, patient-specific surgical simulator for mitral valve repair NA Tenenholtz, PE Hammer, RJ Schneider, NV Vasilyev, RD Howe 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011 | 25 | 2011 |
| Tag-LLM: Repurposing general-purpose LLMs for specialized domains J Shen, N Tenenholtz, JB Hall, D Alvarez-Melis, N Fusi arXiv preprint arXiv:2402.05140, 2024 | 21 | 2024 |
| Prism: A multi-modal generative foundation model for slide-level histopathology G Shaikovski, A Casson, K Severson, E Zimmermann, YK Wang, JD Kunz, ... arXiv preprint arXiv:2405.10254, 2024 | 20 | 2024 |
| Detection and delineation of acute cerebral infarct on DWI using weakly supervised machine learning S Pedemonte, B Bizzo, S Pomerantz, N Tenenholtz, B Wright, M Walters, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 16 | 2018 |
| Improving mitosis detection on histopathology images using large vision-language models R Ding, J Hall, N Tenenholtz, K Severson 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | 7 | 2024 |
| Image-Enabled Force Feedback for Robotic Teleoperation of a Flexible Tool QJ Lindsey, NA Tenenholtz, KJ Kuchenbecker Proc. IASTED International Conference on Robotics and Applications, 224-233, 2009 | 7 | 2009 |
| Fast simulation of mitral annuloplasty for surgical planning NA Tenenholtz, PE Hammer, A Fabozzo, EN Feins, PJ Del Nido, ... Functional Imaging and Modeling of the Heart: 7th International Conference …, 2013 | 6 | 2013 |
