Amod

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Amod Jog

I am a Ph.D candidate in the Computer Science department. I am also a member of the Image Analysis and Communications Laboratory in the ECE department at JHU. Currently my research interests are in intensity normalization and contrast synthesis in human brain magnetic resonance imaging. I am generally interested in medical image analysis, computer vision and machine learning.

Education

• M.S.E., Computer Science, Johns Hopkins University, August 2011
• B.Tech., Computer Science and Engineering, Indian Institute of Technology Bombay, August 2009

Journal Publications

• 2012

1. Curry, M and Malpani, A and Li, R and Jog, A and Tantillo, T and Blanco, R and Ha, P and Califano, J and Kumar, R and Richmon, J. Objective Assessment in Residency Based Training for Transoral Robotic Surgery. The Laryngoscope (accepted), 2012
2. Kumar, R and Jog, A and Vagvolgyi, B and Nguyen, H and Hager, G and Chen, CCG and Yuh, D. Objective Measures for Longitudinal Assessment of Robotic Surgery Training. The Journal of Thoracic and Cardiovascular Surgery (JTCVS) 143:528--534, 2012

• 2011

1. Kumar, R and Jog, A and Malpani, A and Vagvolgyi, B and Yuh, D and Nguyen, H and Hager, G and Chen, CCG. : Assessing system operation skills in robotic surgery trainees. The International Journal of Medical Robotics and Computer Assisted Surgery (IJMRCAS) pp. in print, 2011

Conference Publications

• 2013

1. A. Jog, S. Roy, A. Carass, and J.L. Prince, "Magnetic Resonance Image Synthesis through Patch Regression", Tenth IEEE International Symposium on Biomedical Imaging (ISBI 2013), San Francisco, CA, April 7 - 11, 2013.
2. A. Jog, S. Roy, A. Carass, and J.L. Prince, "Pulse Sequence based Multi-acquisition MR Intensity Normalization", Proceedings of SPIE Medical Imaging (SPIE-MI 2013), Orlando, FL, February 9-14, 2013.

• 2011

1. Jog,A and Itkowitz, B and Liu,M and DiMaio,S and Hager,G and Curet,M and Kumar,R. Towards integrating task information in skills assessment for dexterous tasks in surgery and simulation. IEEE International Conference on Robotics and Automation (ICRA) , 2011
2. Gao, Y and Sedef, M and Jog, A and Peng,P and Choti, M and Hager, G and Berkley, J, Kumar,R. Towards validation of robotic surgery training assessment across training platforms. IEEE Intelligent Robots and Systems (IROS), accepted , 2011

• 2009

1. Jog, A and Joshi, A and Chandran, S and Madabhushi, A., “Classifying Ayurvedic Pulse Signals Via Consensus Locally Linear Embedding”, BIOSIGNALS pp. 388-395, 2009

Conference Abstracts and Workshops

1. Malpani, A, Curry, M and Tantillo, T and Jog, A and Blanco, R and Ha, P and Califano, J and Richmon, J and Kumar,R. Multi-Module Robotic Surgery Training for Otolaryngology with Integrated Objective Assessment. 12th annual meeting of the Society of American Gastrointestinal and Endoscopic Surgeons(SAGES) , 2012
2. Yuh,DD and Jog,A and Kumar,R. Automated Skill Assessment for Robotic Surgical Training. 47th Annual meeting of the society of thoracic surgeons (STS) , 2011
3. Kumar, R and Jog, A, Vagvolgyi,B and Tantillo, T and Chen, CCG and Nguyen, H and Hager,G and Yuh, D. Operational Skill Assessment for Robotic Surgery Training. 11th Society of American Gastrointestinal and Endoscopic Surgeons (SAGES), poster, San Antonio, TX , 2011.
4. Kazanzides,P and DiMaio,S and Deguet,A and Vagvolgyi,B and Balicki,M and Schneider,C and Kumar,R and Jog,A and Itkowitz,B and Hasser,C and Taylor,RH. The Surgical Assistant Workstation (SAW) in Minimally-Invasive Surgery and Microsurgery. Workshop on Systems and Architectures for Computer Assisted Interventions, MICCAI , 2010

Patents

1. METHOD AND SYSTEM FOR ANALYZING A TASK TRAJECTORY; KUMAR, GD HAGER, AS JOG, Y GAO, M LIU, SP DIMAIO, B ITKOWITZ, M CURET WO Patent 2,012,151,585
2. SYSTEM AND METHOD FOR THE EVALUATION OF OR IMPROVEMENT OF MINIMALLY INVASIVE SURGERY SKILLS; R KUMAR, GD HAGER, AS JOG, DD YUH WO Patent 2,012,060,901

Random Tips

• Latex Tips
• List all the files in a directory with full path: ls -d -1 $PWD/**
• Cropping images using convert - convert image.png -crop '160x218+30+20' image_cropped.png 160x218 is image size, +30+20 are the row and column offsets