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researcher

Matthew Antalek

3 papers here

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • eess.IV1
ORCID 0000-0002-9807-1952

identity via Semantic Scholar / OpenAlex

most citedCT Liver Segmentation via PVT-based Encoding and Refined Decoding

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

collaborators

3 papers

cs.CV2025★ 1 cited

Eyes Tell the Truth: GazeVal Highlights Shortcomings of Generative AI in Medical Imaging

David Wong, Bin Wang, Gorkem Durak +23

The demand for high-quality synthetic data for model training and augmentation has never been greater in medical imaging. However, current evaluations predominantly rely on computa…

cs.CV2024

A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation

Koushik Biswas, Ridal Pal, Shaswat Patel +10

Accurately segmenting different organs from medical images is a critical prerequisite for computer-assisted diagnosis and intervention planning. This study proposes a deep learning…

eess.IV2024★ 1 cited

CT Liver Segmentation via PVT-based Encoding and Refined Decoding

Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas +7

Accurate liver segmentation from CT scans is essential for effective diagnosis and treatment planning. Computer-aided diagnosis systems promise to improve the precision of liver di…

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