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researcher

V. Kolachalama

2 papers here

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

author position
  • last author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedU-Net-and-a-half: Convolutional network for biomedical image segmentation using multiple expert-driven annotations

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2022

A graph-transformer for whole slide image classification

Yi Zheng, Rushin H. Gindra, Emily J. Green +4

Deep learning is a powerful tool for whole slide image (WSI) analysis. Typically, when performing supervised deep learning, a WSI is divided into small patches, trained and the out…

eess.IV2021★ 3 cited

U-Net-and-a-half: Convolutional network for biomedical image segmentation using multiple expert-driven annotations

Yichi Zhang, Jesper Kers, Clarissa A. Cassol +8

Development of deep learning systems for biomedical segmentation often requires access to expert-driven, manually annotated datasets. If more than a single expert is involved in th…

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