Sneha Singh, PhD
| Phone: | 1905-267946 |
|---|---|
| EMail: | sneha[at]iitmandi[dot]ac[dot]in |
| LinkedIn profile: | Profile Page |
| Address: | School of Computing & Electrical Engineering |
| A17.03.28, | |
| North Campus, IIT Mandi | |
| Mandi, Himachal Pradesh, India - 175075 |
Announcements
- 2 Papers Accepted in ISBI2026
- 1 Paper Accepted in SPIE Medical Imaging 2026
Research interests
- Medical Image Analysis and Processing
- Pattern Recognition and Computer Vision
- Image Translation and Reconstruction
- Multimodal Medical data Fusion
Ongoing Research
- Cancer Diagnostics and Prognostics using AI and Multimodal Scans ( BreastCancer, ProstateCancer, RectalCancer, OPC)
- Image Decoding and Reconstruction using GenAI and Diffusion Models
- Breast Pathology and Biomarker Discovery for Severity Analysis and Survival
- Multimodal Medical Data Fusion and Domain Adaptation
Research Group
- Sumit Maan, Phd (Ongoing), Prostate Cancer Detection and Prognostification
- Soumya Upadhyay, Phd (Ongoing), Breast Cancer Detection and Prognostification
- Prankshu, Phd (Ongoing), Multimodal Data Fusion for Disease Diagnostics and Localization
- Sezal Rana, Integrated Phd (Ongoing), Breast Pathology and Biomarker Discovery
- Ayushi, Phd (Ongoing), Detection and Localization of Parkinson's Disease
- Peeyush Singh, M.Tech Research (Ongoing), Image Translation and Reconstruction
- Sayan Shaw, M.Tech Research (Ongoing), MultiOrgan Segmentation using Pelvic MRI
- Mohit Kulhari, M.Tech Research (Ongoing), Prostate Cancer Detection and Prognostification on Multimodal Screening Data
- Ram Vikas, M.Tech Research (Submitted), Automated Organ and Zone segmentation on Prostate MRI
Teaching
- Digital Image Processing, EE-608
- Biomedical Image Analysis, EE-574
- Introduction to Python and Data Science, IC-102
- Medical Imaging & Applications, EE-525
Education
- Ph.D - Electrical Engineering, Indian Institute of Technology Roorkee, 2020
- M.Tech - Electrical Engineering, Indian Institute of Technology Roorkee, 2014
- B.Tech - Electronics and Communication Engineering, UPTU, Lucknow, 2009
Work Experience
Research Experience
- Postdoctoral Researcher, Case Western Reserve University, Cleveland, OH, USA (Sep 2021 - March 2023)
Teaching Experience
- VNIT, Nagpur, Adjunct Assistant Professor (Jan 2021 - May2021)
- RCOEM, Assistant Professor (Oct 2019 - May 2020)
- NIT Delhi, Assistant Professor on Temporary basis (Aug 2014 - Dec 2014)
Awards, and Research Funding
- ANRF-ECRG2025; Prostate Cancer Detection and Prognostification using RadPathFusion
- ICMR-FIW2025; Medical Image Translation and Reconstruction using Pelvic/Abdominal MRI
- SEED-IIT Mandi; Rectal Cancer Detection and Treatment Response Prediction using Radiomics
- IEEE-Women in Science, Faculty Advisor, IIT Mandi
- Clinical Translational Research Fellowship, CWRU, OH USA (Aug 2022- March 20230
Publications
Journal Publications (published)
- Computerized features of tumor diversity on pre-chemoradiation MRI are associated with pathologic complete response in rectal cancers: A multi-institutional study, Journal of Clinical Oncology, Year 2022
- Detail Enhanced Feature-Level Medical Image Fusion in Decorrelating Decomposition Domain, IEEE Transactions on Instrumentation and Measurement, Volume 70, Year 2021
- Multimodal Medical Image Fusion Using Hybrid Layer Decomposition with CNN-Based Feature Mapping and Structural Clustering, IEEE Transactions on Instrumentation and Measurement, Volume 69, Year 2020, Pages 3855–3865
- Multimodal Medical Image Sensor Fusion Model Using Sparse K-SVD Dictionary Learning in Nonsubsampled Shearlet Domain, IEEE Transactions on Instrumentation and Measurement, Volume 69, Year 2020, Pages 593–607
- Multistage multimodal medical image fusion model using feature-adaptive pulse coupled neural network, International Journal of Imaging Systems and Technology, Volume 31, Year 2021, Pages 981–1001
Conferences and Symposia
- Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI, Co-author, MICCAI2022
- Integrating Multi-Plane and Multi-Region Radiomic Features to Predict Pathologic Response to Neoadjuvant Chemoradiation in Rectal Cancers via Pre-Treatment MRI, Co-author, SPIE 2023
- EfficientNet-Driven Framework for Precise Detection and Grading of Liver and Colon Cancer Using H&E Stained Histopathological Images, Co-author, CCIS2026
.