Saurabh J. Shigwan

According to our database, Saurabh J. Shigwan authored at least 13 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

DMDSC: A Dynamic-Margin Deep Simplex Classifier for Open-Set Recognition on Medical Image Datasets.

Vishal, Arnav Aditya, Nitin Kumar, Saurabh J. Shigwan

CoRR, May, 2026

UCDSC: Open Set UnCertainty aware Deep Simplex Classifier for Medical Image Datasets.

Arnav Aditya, Nitin Kumar, Saurabh J. Shigwan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

ARMARecon: An ARMA Convolutional Filter Based Graph Neural Network for Neurodegenerative Dementias Classification.

VSS Tejaswi Abburi, Ananya Singhal, Saurabh J. Shigwan, Nitin Kumar

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Tract-Specific Biomarker Discovery for Early Alzheimer's Disease Using Sparse Diffusion MRI and AI Framework.

Abhishek Tiwari, Saurabh J. Shigwan

Proceedings of the Pattern Recognition and Machine Intelligence, 2025

UnSegMedGAT: Unsupervised Medical Image Segmentation Using Graph Attention Networks Clustering.

A. Mudit Adityaja, Saurabh J. Shigwan, Nitin Kumar

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

SwinDTI: swin transformer-based generalized fast estimation of diffusion tensor parameters from sparse data.

Abhishek Tiwari, Rajeev Kumar Singh, Saurabh J. Shigwan

Neural Comput. Appl., February, 2024

UnSegGNet: Unsupervised Image Segmentation using Graph Neural Networks.

Kovvuri Sai Gopal Reddy, Bodduluri Saran, A. Mudit Adityaja, Saurabh J. Shigwan, Nitin Kumar

CoRR, 2024

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, Snehasis Mukherjee

Proceedings of the 35th British Machine Vision Conference, 2024

2023

Deep Learning Framework using Sparse Diffusion MRI for Diagnosis of Frontotemporal Dementia.

Abhishek Tiwari, Ananya Singhal, Saurabh J. Shigwan, Rajeev Kumar Singh

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Early Diagnosis of Alzheimer through Swin-Transformer-Based Deep Learning Framework using Sparse Diffusion Measures.

Abhishek Tiwari, Ananya Singhal, Saurabh J. Shigwan, Rajeev Kumar Singh

Proceedings of the Asian Conference on Machine Learning, 2023

2020

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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2016

Hierarchical Generative Modeling and Monte-Carlo EM in Riemannian Shape Space for Hypothesis Testing.

Saurabh J. Shigwan, Suyash P. Awate

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

A Statistical Model for Smooth Shapes in Kendall Shape Space.

Akshay V. Gaikwad, Saurabh J. Shigwan, Suyash P. Awate

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015