Author

Gopal Avinash

RWTH Aachen University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Abin JoseiD· 1 shared Fatemeh Javadian· 1 shared Johannes StegmaieriD· 1 shared Maroof Abdul Aziz· 1 shared Sherin Susheel Mathew· 1 shared Sonit SinghiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Abin JoseORCID

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1 paper

Recent·Most cited

DEEP LEARNING APPROACH FOR RENAL CELL CARCINOMA DETECTION,SUBTYPING, AND GRADING

Maroof Abdul Aziz, Fatemeh Javadian, Sherin Susheel Mathew, Gopal Avinash, Johannes Stegmaier, Sonit Singh, Abin Jose

This paper introduces an end-to-end deep learning pipeline for renal cell carcinoma detection, subtyping, and grading using The Cancer Genome Atlas data.

Proceedings - International Conference on Image Processing · Sep 27, 2024Peer-reviewedBioinformatics