Neil Tenenholtz
Neil Tenenholtz
Microsoft Research
Vahvistettu sähköpostiosoite verkkotunnuksessa
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
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
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
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
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
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
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
Initialization and regularization of factorized neural layers
M Khodak, N Tenenholtz, L Mackey, N Fusi
arXiv preprint arXiv:2105.01029, 2021
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
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
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
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
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
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
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
Automated De-Identification: Embracing the Imperfect
NA Tenenholtz, MJ Wood
Radiology: Artificial Intelligence 2 (6), e200230, 2020
Abstract WP68: Interpretable Deep Learning-based Characterization of Intracranial Hemorrhage on Head CT
B Bizzo, B Hashemian, T McNitt, MT Caton, W Wiggins, J Hillis, ...
Stroke 50 (Suppl_1), AWP68-AWP68, 2019
Missteps in Robot Social Navigation
A Sutcliffe, N Tenenholtz, J Pineau
2015 AAAI Fall Symposium Series, 2015
Developing a Training Tool for Intraoperative Mitral Valve Analysis
NA Tenenholtz, RD Howe
6th Hamlyn Symposium on Medical Robotics, 2013
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations
H Adam, F Yin, M Hu, N Tenenholtz, L Crawford, L Mackey, A Koenecke
arXiv preprint arXiv:2306.11839, 2023
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Artikkelit 1–20