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Neil Tenenholtz
Neil Tenenholtz
Microsoft Research
Verified email at microsoft.com
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Cited by
Cited by
Year
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
6752018
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
672011
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
552018
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
392021
Initialization and regularization of factorized neural layers
M Khodak, N Tenenholtz, L Mackey, N Fusi
arXiv preprint arXiv:2105.01029, 2021
362021
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
352020
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
322019
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
292019
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
242020
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
222011
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
192023
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, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
162018
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
62009
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
52013
Medical imaging stroke model
JF Kalafut, B Bizzo, S Pedemonte, C Bridge, N Tenenholtz, RG Gonzalez
US Patent 11,545,266, 2023
22023
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 App. 17/187,016, 2021
22021
Simulation and Synthesis in Medical Imaging: Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, 16 September 2018
HC Shin, NA Tenenholtz, JK Rogers, CG Schwarz, ML Senjem, JL Gunter, ...
Springer International Publishing, 2018
22018
Improving mitosis detection on histopathology images using large vision-language models
R Ding, J Hall, N Tenenholtz, K Severson
arXiv preprint arXiv:2310.07176, 2023
12023
Best Practices and Scoring System on Reviewing AI based Medical Imaging Papers: Part 1 Classification
TL Kline, F Kitamura, I Pan, AM Korchi, N Tenenholtz, L Moy, JW Gichoya, ...
arXiv preprint arXiv:2202.01863, 2022
12022
Computed tomography medical imaging intracranial hemorrhage model
JF Kalafut, B Bizzo, B Hashemian, C Bridge, N Tenenholtz, SR Pomerantz
US Patent App. 16/587,828, 2021
12021
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