Saurabh Janardan Shigwan
Assistant Professor School of Engineering
School of Engineering
Email: saurabh.shigwan@snu.edu.in
Medical Image Processing, Statistical Shape Analysis, Bayesian Statistics, Machine Learning and Deep Neural Networks. Know more: Click here
Research Overview
Medical Image Processing, Statistical Shape Analysis, Bayesian Statistics, Machine Learning and Deep Neural Networks. Know more: Click here
Education
2020, Ph.D. Computer Science, IIT-Bombay 2014, M.Tech., Computer Science, ISI-Kolkata 2011, B.E., Computer Engineering, Mumbai University
Experience
01/21-Present, Assistant Professor, Department of Computer Science and Engineering, School of Engineering, Shiv Nadar University, Delhi-NCR 2019-2020, Research Fellow at Bringham and Women's Hospital, Harvard Medical School
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| 1 |
Conference paper
UnSegMedGAT: Unsupervised Medical Image Segmentation Using Graph Attention Networks Clustering
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Abstract not available.
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Adityaja, A.M.; Shigwan, S.J.; Kumar, N. | Proceedings - International Symposium on Biomedical Imaging | 2025 | 2 |
| 2 |
Article
SwinDTI: swin transformer-based generalized fast estimation of diffusion tensor parameters from sparse data
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Tiwari, A.; Singh, R.K.; Shigwan, S.J. | Neural Computing and Applications, 36(6), 3179-3196 | 2024 | 3 |
| 3 |
Conference paper
Early Diagnosis of Alzheimer through Swin-Transformer-Based Deep Learning Framework using Sparse Diffusion Measures
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Tiwari, A.; Singhal, A.; Shigwan, S.J.; Singh, R.K. | Proceedings of Machine Learning Research, 222, 1369-1384 | 2023 | 1 |
| 4 |
Conference paper
Deep Learning Framework using Sparse Diffusion MRI for Diagnosis of Frontotemporal Dementia
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Tiwari, A.; Singhal, A.; Shigwan, S.J.; Singh, R.K. | Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023, 3823-3829 | 2023 | 1 |
| 5 |
Article Open access
Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies
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Aja-Fernández, S.; Martín-Martín, C.; Planchuelo-Gómez, Á.; Faiyaz, A.; Uddin, M.N.; Schifitto, G.; Tiwari, A.; Shigwan, S.J.; Singh, R.K.; Zheng, T.; Cao, Z.; Wu, D.; Blumberg, S.B.; Sen, S.; Goodwin-Allcock, T.; Slator, P.J.; Yigit Avci, M.; Li, Z.; Bilgiç, B.; Tian, Q.; Wang, X.; Tang, Z.; Cabezas, M.; Rauland, A.; Merhof, D.; Manzano Maria, R.; Campos, V.P.; Santini, T.; da Costa Vieira, M.A.; HashemizadehKolowri, S.; DiBella, E.; Peng, C.; Shen, Z.; Chen, Z.; Ullah, I.; Mani, M.; Abdolmotalleby, H.; Eckstrom, S.; Baete, S.H.; Filipiak, P.; Dong, T.; Fan, Q.; de Luis-Garcia, R.; Tristán-Vega, A.; Pieciak, T. | NeuroImage: Clinical, 39 | 2023 | 10 |
| 6 |
Article
Environmental determinants of aquatic vegetation in rock pools of northern Western Ghats, India
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Abstract not available.
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Kulkarni, A.; Vijayan, S.; Shigwan, B.K.; Padhye, S.; Dahanukar, N.; Datar, M.N. | Fundamental and Applied Limnology, 196(1), 15-26 | 2022 | 3 |
Project details will be updated soon.
Research contributions aligned with UN Sustainable Development Goals:
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Awards & Honors
- 2020, Secured Research Funding of $16000 from Mass General Brigham to do research at Harvard Medical lab on Brain Tractography using Diffusion-MRI.
Professional Memberships
- No memberships listed.
Additional information will be updated soon.