Saurabh J. Shigwan

13 papers A 1C 1Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
ARMARecon: An ARMA Convolutional Filter based Graph Neural Network for Neurodegenerative Dementias Classification.
CoRR
VSS Tejaswi Abburi, Ananya Singhal, Saurabh J. Shigwan, Nitin Kumar
2025 J jnl
UCDSC: Open Set UnCertainty aware Deep Simplex Classifier for Medical Image Datasets.
CoRR
Arnav Aditya, Nitin Kumar, Saurabh J. Shigwan
2025 — conf
UnSegMedGAT: Unsupervised Medical Image Segmentation Using Graph Attention Networks Clustering.
ISBI
A. Mudit Adityaja, Saurabh J. Shigwan, Nitin Kumar
2024 J jnl
SwinDTI: swin transformer-based generalized fast estimation of diffusion tensor parameters from sparse data.
Neural Comput. Appl.
Abhishek Tiwari, Rajeev Kumar Singh, Saurabh J. Shigwan
2024 A conf
UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural Networks with Convolutional ARMA Filters.
BMVC
Kovvuri Sai Gopal Reddy, Bodduluri Saran, A. Mudit Adityaja, Saurabh J. Shigwan, Nitin Kumar, Snehasis Mukherjee
2024 J jnl
UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural Networks with Convolutional ARMA Filters.
CoRR
Kovvuri Sai Gopal Reddy, Bodduluri Saran, A. Mudit Adityaja, Saurabh J. Shigwan, Nitin Kumar, Snehasis Mukherjee
2024 J jnl
UnSegGNet: Unsupervised Image Segmentation using Graph Neural Networks.
CoRR
Kovvuri Sai Gopal Reddy, Bodduluri Saran, A. Mudit Adityaja, Saurabh J. Shigwan, Nitin Kumar
2024 J jnl
UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks Clustering.
CoRR
A. Mudit Adityaja, Saurabh J. Shigwan, Nitin Kumar
2023 — conf
Deep Learning Framework using Sparse Diffusion MRI for Diagnosis of Frontotemporal Dementia.
ICCV (Workshops)
Abhishek Tiwari, Ananya Singhal, Saurabh J. Shigwan, Rajeev Kumar Singh
2023 C conf
Early Diagnosis of Alzheimer through Swin-Transformer-Based Deep Learning Framework using Sparse Diffusion Measures.
ACML
Abhishek Tiwari, Ananya Singhal, Saurabh J. Shigwan, Rajeev Kumar Singh
2020 — conf
Object Segmentation with Deep Neural Nets Coupled with a Shape Prior, When Learning From a Training set of Limited Quality and Small Size.
ISBI
Saurabh J. Shigwan, Akshay V. Gaikwad, Suyash P. Awate
2016 — conf
Hierarchical Generative Modeling and Monte-Carlo EM in Riemannian Shape Space for Hypothesis Testing.
MICCAI (3)
Saurabh J. Shigwan, Suyash P. Awate
2015 — conf
A Statistical Model for Smooth Shapes in Kendall Shape Space.
MICCAI (3)
Akshay V. Gaikwad, Saurabh J. Shigwan, Suyash P. Awate