Neil Tenenholtz
Neil Tenenholtz
Microsoft Research
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Medical image synthesis for data augmentation and anonymization using generative adversarial networks
HC Shin, NA Tenenholtz, JK Rogers, CG Schwarz, ML Senjem, JL Gunter, ...
International workshop on simulation and synthesis in medical imaging, 1-11, 2018
Patient-specific mitral leaflet segmentation from 4D ultrasound
RJ Schneider, NA Tenenholtz, DP Perrin, GR Marx, J Pedro, RD Howe
International Conference on Medical Image Computing and Computer-Assisted …, 2011
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
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
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
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, ...
International Conference on Medical Image Computing and Computer-Assisted …, 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
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
Simulation and Synthesis in Medical Imaging
HC Shin, NA Tenenholtz, JK Rogers, CG Schwarz, ML Senjem, JL Gunter, ...
Fast simulation of mitral annuloplasty for surgical planning
NA Tenenholtz, PE Hammer, A Fabozzo, EN Feins, J Pedro, RD Howe
International Conference on Functional Imaging and Modeling of the Heart …, 2013
4D CNN for semantic segmentation of cardiac volumetric sequences
A Myronenko, D Yang, V Buch, D Xu, A Ihsani, S Doyle, M Michalski, ...
International Workshop on Statistical Atlases and Computational Models of …, 2019
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, 1-16, 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
Automated De-Identification: Embracing the Imperfect
NA Tenenholtz, MJ Wood
Radiology: Artificial Intelligence 2 (6), e200230, 2020
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. 16/237,525, 2020
Abstract WP78: Deep Learning for Acute Ischemic Stroke on Diffusion MRI: Performance Analysis in a Consecutive Cohort
B Bizzo, C Bridge, R Gauriau, W Wiggins, MT Caton, J Hillis, B Wright, ...
Stroke 50 (Suppl_1), AWP78-AWP78, 2019
Fast Surgical Simulation to Improve Mitral Valve Repair
NA Tenenholtz
NA Tenenholtz, RD Howe
ASME/FDA 2013 Annual Frontiers in Medical Devices: Applications of Computer …, 2013
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Artículos 1–20