Sanjay Ghosh

About

Sanjay Ghosh is a Postdoctoral Scholar in the Dept. of Radiology and Biomedical Imaging at the University of California San Francisco (UCSF), USA. His research interests broadly include signal/image processing and computational brain imaging.

He received the Ph.D. degree in electrical engineering from the Indian Institute of Science, Bangalore, India and the M.Tech. degree in electrical engineering (communication systems) from Indian Institute of Technology, Madras, India, in 2013. From August 2013 to July 2014, he served as a faculty member at National Institute of Technology, Jamshedpur, India.

Employment

• University of California, San Francisco Postdoctoral Scholar
  2020 - Present
• The Pennsylvania State University Postdoctoral Scholar
  2020 - 2020
• The University of Iowa Visiting Scholar
  2019 - 2020
• National Institute of Technology Jamshedpur Lecturer
  2013 - 2014

Education

• Indian Institute of Science PhD
  2014 - 2019
• Indian Institute of Technology Madras M Tech
  2011 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (29)

• Estimating Brain Functional Connectivity from Common Subspace Mapping Between Structural and Functional Connectomes
  bioRxiv 2022 DOI: 10.1101/2022.04.12.488055
  +Save
• Multi-tasking Deep Network for Tinnitus Classification and Severity Prediction from Multimodal Structural Images
  bioRxiv 2022 DOI: 10.1101/2022.05.07.491000
  +Save
• Declaration of Interests
  SSRN 2022
  +Save
• Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging
  Advances in Neural Information Processing Systems 2021
  +Save
• Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging
  arXiv 2021
  +Save
• Joint Learning of Full-Structure Noise in Hierarchical Bayesian Regression Models
  bioRxiv 2021 DOI: 10.1101/2021.11.28.470264
  +Save
• Model-Based Deep Learning for Reconstruction of Joint k-q Under-sampled High Resolution Diffusion MRI
  Proceedings - International Symposium on Biomedical Imaging 2020 DOI: 10.1109/ISBI45749.2020.9098593
  +Save
• Model-based deep learning for reconstruction of joint k-q under-sampled high resolution diffusion MRI
  arXiv 2020
  +Save
• Nonlocal Co-occurrence for Image Downscaling
  arXiv 2020
  +Save
• Linearized ADMM and FAST nonlocal denoising for efficient plug-and-play restoration
  2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings 2019 DOI: 10.1109/GlobalSIP.2018.8646599
  +Save