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researcher

Saurabh J. Shigwan

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedUnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks Clustering

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2026

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

VSS Tejaswi Abburi, Ananya Singhal, Saurabh J. Shigwan +1

Early detection of neurodegenerative diseases such as Alzheimer's Disease (AD) and Frontotemporal Dementia (FTD) is essential for reducing the risk of progression to severe disease…

cs.CV2025

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

Arnav Aditya, Nitin Kumar, Saurabh Shigwan

Driven by advancements in deep learning, computer-aided diagnoses have made remarkable progress. However, outside controlled laboratory settings, algorithms may encounter several c…

cs.CV2024★ 1 cited

UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks Clustering

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

The data-intensive nature of supervised classification drives the interest of the researchers towards unsupervised approaches, especially for problems such as medical image segment…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.