| 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 | 321 | 2017 |
| 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 (1), 813696, 2015 | 282 | 2015 |
| 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 | 198 | 2017 |
| System and method for the evaluation of or improvement of minimally invasive surgery skills R Kumar, GD Hager, AS Jog, DD Yuh US Patent App. 13/883,516, 2014 | 124 | 2014 |
| 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 | 83 | 2013 |
| 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 | 78 | 2015 |
| 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 | 68 | 2012 |
| 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 | 66 | 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 | 62 | 2014 |
| 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 | 55 | 2012 |
| Self super-resolution for magnetic resonance images A Jog, A Carass, JL Prince Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016 | 54 | 2016 |
| 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 | 50 | 2017 |
| 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 | 49 | 2014 |
| 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, 434-439, 2017 | 44 | 2017 |
| Longitudinal multiple sclerosis lesion segmentation data resource A Carass, S Roy, A Jog, JL Cuzzocreo, E Magrath, A Gherman, J Button, ... Data in brief 12, 346-350, 2017 | 41 | 2017 |
| PSACNN: Pulse sequence adaptive fast whole brain segmentation A Jog, A Hoopes, DN Greve, K Van Leemput, B Fischl Neuroimage 199, 553-569, 2019 | 39 | 2019 |
| 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 | 33 | 2010 |
| Cerebral microbleed segmentation from susceptibility weighted images S Roy, A Jog, E Magrath, JA Butman, DL Pham Medical Imaging 2015: Image Processing 9413, 364-370, 2015 | 32 | 2015 |
| Atlas based intensity transformation of brain MR images S Roy, A Jog, A Carass, JL Prince Multimodal Brain Image Analysis: Third International Workshop, MBIA 2013 …, 2013 | 31 | 2013 |
| 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 | 31 | 2011 |
Jerry L. PrinceProfessor of Electrical and Computer Engineering, Johns Hopkins University在 jhu.edu 的电子邮件经过验证
