Amod Jog

According to our database1, Amod Jog authored at least 28 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Multi-site Evaluation of a Study-Level Classifier for Mammography Using Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
PSACNN: Pulse sequence adaptive fast whole brain segmentation.
NeuroImage, 2019

Fast Infant MRI Skullstripping with Multiview 2D Convolutional Neural Networks.
CoRR, 2019

2018
Pulse Sequence Resilient Fast Brain Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Improving self super resolution in magnetic resonance images.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

2017
Longitudinal multiple sclerosis lesion segmentation: Resource and challenge.
NeuroImage, 2017

Random forest regression for magnetic resonance image synthesis.
Medical Image Anal., 2017

Cross contrast multi-channel image registration using image synthesis for MR brain images.
Medical Image Anal., 2017

Multi-atlas-based CT synthesis from conventional MRI with patch-based refinement for MRI-based radiotherapy planning.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

A Supervoxel Based Random Forest Synthesis Framework for Bidirectional MR/CT Synthesis.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2017

2016
Effects of spatial resolution on image registration.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Patch Based Synthesis of Whole Head MR Images: Application To EPI Distortion Correction.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2016

Self Super-Resolution for Magnetic Resonance Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
MR image synthesis by contrast learning on neighborhood ensembles.
Medical Image Anal., 2015

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans.
Comput. Intell. Neurosci., 2015

Cerebral microbleed segmentation from susceptibility weighted images.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Multi-output decision trees for lesion segmentation in multiple sclerosis.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Tree-Encoded Conditional Random Fields for Image Synthesis.
Proceedings of the Information Processing in Medical Imaging, 2015

2014
Example based lesion segmentation.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

MR to CT registration of brains using image synthesis.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Random forest FLAIR reconstruction from T1, T2, and PD-weighted MRI.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Improving magnetic resonance resolution with supervised learning.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Pulse sequence based multi-acquisition MR intensity normalization.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Atlas Based Intensity Transformation of Brain MR Images.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Magnetic resonance image synthesis through patch regression.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2011
Towards validation of robotic surgery training assessment across training platforms.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Towards integrating task information in skills assessment for dexterous tasks in surgery and simulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2009
Classifying Ayurvedic Pulse Signals Via Consensus Locally Linear Embedding.
Proceedings of the BIOSIGNALS 2009, 2009


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