Saurabh J. Shigwan

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 6

Top Topics

Diffusion Tensor

Hypothesis Testing

Unsupervised Image Segmentation

Top Venues

Publications

Kovvuri Sai Gopal Reddy, Bodduluri Saran, A. Mudit Adityaja, Saurabh J. Shigwan, Nitin Kumar
UnSegGNet: Unsupervised Image Segmentation using Graph Neural Networks. CoRR (2024)
Abhishek Tiwari, Rajeev Kumar Singh, Saurabh J. Shigwan
SwinDTI: swin transformer-based generalized fast estimation of diffusion tensor parameters from sparse data. Neural Comput. Appl. 36 (6) (2024)
Abhishek Tiwari, Ananya Singhal, Saurabh J. Shigwan, Rajeev Kumar Singh
Deep Learning Framework using Sparse Diffusion MRI for Diagnosis of Frontotemporal Dementia. ICCV (Workshops) (2023)
Abhishek Tiwari, Ananya Singhal, Saurabh J. Shigwan, Rajeev Kumar Singh
Early Diagnosis of Alzheimer through Swin-Transformer-Based Deep Learning Framework using Sparse Diffusion Measures. ACML (2023)
Saurabh J. Shigwan, Akshay V. Gaikwad, Suyash P. Awate
Object Segmentation with Deep Neural Nets Coupled with a Shape Prior, When Learning From a Training set of Limited Quality and Small Size. ISBI (2020)
Saurabh J. Shigwan, Suyash P. Awate
Hierarchical Generative Modeling and Monte-Carlo EM in Riemannian Shape Space for Hypothesis Testing. MICCAI (3) (2016)
Akshay V. Gaikwad, Saurabh J. Shigwan, Suyash P. Awate
A Statistical Model for Smooth Shapes in Kendall Shape Space. MICCAI (3) (2015)