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Kumar Abhishek

Simon Fraser University

12 papers hereh-index 131.5k citations47 works total

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

author position
  • first author6
  • middle author6

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • eess.IV4
  • cs.CY1
  • cs.LG1
affiliations
  • Simon Fraser University
Homepage
same name
  • Kumar Abhishek — 4 papers
  • Kumar Abhishek — 4 papers, h 3

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
20192025
most citedAttribution-based XAI Methods in Computer Vision: A Review

14 citations · 17 across the 8 of their papers we have counts for

collaborators
Showing eess.IVShow all

4 papers · 1 filter

eess.IV2024

Disentangled PET Lesion Segmentation

Tanya Gatsak, Kumar Abhishek, Hanene Ben Yedder +2

PET imaging is an invaluable tool in clinical settings as it captures the functional activity of both healthy anatomy and cancerous lesions. Developing automatic lesion segmentatio…

eess.IV2020

Matthews Correlation Coefficient Loss for Deep Convolutional Networks: Application to Skin Lesion Segmentation

Kumar Abhishek, Ghassan Hamarneh

The segmentation of skin lesions is a crucial task in clinical decision support systems for the computer aided diagnosis of skin lesions. Although deep learning-based approaches ha…

eess.IV2019

Artificial Intelligence in Glioma Imaging: Challenges and Advances

Weina Jin, Mostafa Fatehi, Kumar Abhishek +3

Primary brain tumors including gliomas continue to pose significant management challenges to clinicians. While the presentation, the pathology, and the clinical course of these les…

eess.IV2019

Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis

Kumar Abhishek, Ghassan Hamarneh

Skin lesion segmentation is a vital task in skin cancer diagnosis and further treatment. Although deep learning based approaches have significantly improved the segmentation accura…

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