Amod Jog
Amod Jog
Scientist, IBM Watson Health
Verified email at - Homepage
Cited by
Cited by
MRBrainS challenge: online evaluation framework for brain image segmentation in 3T MRI scans
AM Mendrik, KL Vincken, HJ Kuijf, M Breeuwer, WH Bouvy, J De Bresser, ...
Computational intelligence and neuroscience 2015, 2015
Longitudinal multiple sclerosis lesion segmentation: resource and challenge
A Carass, S Roy, A Jog, JL Cuzzocreo, E Magrath, A Gherman, J Button, ...
NeuroImage 148, 77-102, 2017
Random forest regression for magnetic resonance image synthesis
A Jog, A Carass, S Roy, DL Pham, JL Prince
Medical image analysis 35, 475-488, 2017
Magnetic resonance image synthesis through patch regression
A Jog, S Roy, A Carass, JL Prince
2013 IEEE 10th International Symposium on Biomedical Imaging, 350-353, 2013
Objective assessment in residency‐based training for transoral robotic surgery
M Curry, A Malpani, R Li, T Tantillo, A Jog, R Blanco, PK Ha, J Califano, ...
The Laryngoscope 122 (10), 2184-2192, 2012
Objective measures for longitudinal assessment of robotic surgery training
R Kumar, A Jog, B Vagvolgyi, H Nguyen, G Hager, CCG Chen, D Yuh
The Journal of thoracic and cardiovascular surgery 143 (3), 528-534, 2012
MR image synthesis by contrast learning on neighborhood ensembles
A Jog, A Carass, S Roy, DL Pham, JL Prince
Medical image analysis 24 (1), 63-76, 2015
Assessing system operation skills in robotic surgery trainees
R Kumar, A Jog, A Malpani, B Vagvolgyi, D Yuh, H Nguyen, G Hager, ...
The International Journal of Medical Robotics and Computer Assisted Surgery …, 2012
Method and system for analyzing a task trajectory
R Kumar, GD Hager, AS Jog, Y Gao, M Liu, SP DiMaio, B Itkowitz, M Curet
US Patent App. 14/115,092, 2014
Improving magnetic resonance resolution with supervised learning
A Jog, A Carass, JL Prince
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 987-990, 2014
Self super-resolution for magnetic resonance images
A Jog, A Carass, JL Prince
International Conference on Medical Image Computing and Computer-Assisted …, 2016
The Surgical Assistant Workstation (SAW) in minimally-invasive surgery and microsurgery
P Kazanzides, S DiMaio, A Deguet, B Vagvolgyi, M Balicki, C Schneider, ...
MICCAI Workshop on Systems and Arch. for Computer Assisted Interventions, 1-9, 2010
Cross contrast multi-channel image registration using image synthesis for MR brain images
M Chen, A Carass, A Jog, J Lee, S Roy, JL Prince
Medical image analysis 36, 2-14, 2017
Towards integrating task information in skills assessment for dexterous tasks in surgery and simulation
A Jog, B Itkowitz, M Liu, S DiMaio, G Hager, M Curet, R Kumar
2011 IEEE International Conference on Robotics and Automation, 5273-5278, 2011
Example based lesion segmentation
S Roy, Q He, A Carass, A Jog, JL Cuzzocreo, DS Reich, J Prince, D Pham
Medical Imaging 2014: Image Processing 9034, 90341Y, 2014
Using image synthesis for multi-channel registration of different image modalities
M Chen, A Jog, A Carass, JL Prince
Medical Imaging 2015: Image Processing 9413, 94131Q, 2015
Atlas based intensity transformation of brain MR images
S Roy, A Jog, A Carass, JL Prince
International Workshop on Multimodal Brain Image Analysis, 51-62, 2013
Multi-atlas-based CT synthesis from conventional MRI with patch-based refinement for MRI-based radiotherapy planning
J Lee, A Carass, A Jog, C Zhao, JL Prince
Medical Imaging 2017: Image Processing 10133, 101331I, 2017
Random forest FLAIR reconstruction from T1, T2, and PD-weighted MRI
A Jog, A Carass, DL Pham, JL Prince
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 1079-1082, 2014
PSACNN: Pulse sequence adaptive fast whole brain segmentation
A Jog, A Hoopes, DN Greve, K Van Leemput, B Fischl
NeuroImage 199, 553-569, 2019
The system can't perform the operation now. Try again later.
Articles 1–20