A Statistical Model for Smooth Shapes in Kendall Shape Space. - Akshay V. Gaikwad; Saurabh J. Shigwan; Suyash P. Awate (MICCAI (3), 2015)

Hierarchical Generative Modeling and Monte-Carlo EM in Riemannian Shape Space for Hypothesis Testing. - Saurabh J. Shigwan; Suyash P. Awate (MICCAI (3), 2016)

Object Segmentation with Deep Neural Nets Coupled with a Shape Prior, When Learning From a Training set of Limited Quality and Small Size. - Saurabh J. Shigwan; Akshay V. Gaikwad; Suyash P. Awate (ISBI, 2020)

Early Diagnosis of Alzheimer through Swin-Transformer-Based Deep Learning Framework using Sparse Diffusion Measures. - Abhishek Tiwari 005; Ananya Singhal; Saurabh J. Shigwan; Rajeev Kumar Singh 002 (ACML, 2023)

Deep Learning Framework using Sparse Diffusion MRI for Diagnosis of Frontotemporal Dementia. - Abhishek Tiwari 005; Ananya Singhal; Saurabh J. Shigwan; Rajeev Kumar Singh 002 (ICCV (Workshops), 2023)

UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural Networks with Convolutional ARMA Filters. - Kovvuri Sai Gopal Reddy; Bodduluri Saran; A. Mudit Adityaja; Saurabh J. Shigwan; Nitin Kumar 003; Snehasis Mukherjee (BMVC, 2024)

UnSegGNet: Unsupervised Image Segmentation using Graph Neural Networks. - Kovvuri Sai Gopal Reddy; Bodduluri Saran; A. Mudit Adityaja; Saurabh J. Shigwan; Nitin Kumar 003 (CoRR, 2024)

SwinDTI: swin transformer-based generalized fast estimation of diffusion tensor parameters from sparse data. - Abhishek Tiwari 005; Rajeev Kumar Singh 002; Saurabh J. Shigwan (Neural Comput. Appl., 2024)

UnSegMedGAT: Unsupervised Medical Image Segmentation Using Graph Attention Networks Clustering. - A. Mudit Adityaja; Saurabh J. Shigwan; Nitin Kumar 003 (ISBI, 2025)