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researcher

G. Verghese

3 papers hereh-index 6232 citations19 works total

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

author position
  • first author1
  • middle author2

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

fields
  • cs.CR1
  • eess.IV1
  • q-bio.QM1
same name
  • G. Verghese — 1 paper, h 54
  • G. Verghese — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedDeep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CR2026

Building Privacy-and-Security-Focused Federated Learning Infrastructure for Global Multi-Centre Healthcare Research

Fan Zhang, Daniel Kreuter, Javier Fernandez-Marques +10

Collaborative healthcare research across multiple institutions increasingly requires diverse clinical datasets, but cross-border data sharing is strictly constrained by privacy reg…

q-bio.QM2025

PySlyde: A Lightweight, Open-Source Toolkit for Pathology Preprocessing

Gregory Verghese, Anthony Baptista, Chima Eke +10

The integration of artificial intelligence (AI) into pathology is advancing precision medicine by improving diagnosis, treatment planning, and patient outcomes. Digitised whole-sli…

eess.IV2022★ 1 cited

Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation

Nikhil Cherian Kurian, Amit Lohan, Gregory Verghese +8

Although the U-Net architecture has been extensively used for segmentation of medical images, we address two of its shortcomings in this work. Firstly, the accuracy of vanilla U-Ne…

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