output
20162025
most citedMixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series

108 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing eess.IVShow all

2 papers · 1 filter

eess.IV2023★ 5 cited

View it like a radiologist: Shifted windows for deep learning augmentation of CT images

Eirik A. Østmo, Kristoffer K. Wickstrøm, Keyur Radiya +2

Deep learning has the potential to revolutionize medical practice by automating and performing important tasks like detecting and delineating the size and locations of cancers in m…

eess.IV2022★ 1 cited

A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images

Nikita Shvetsov, Morten Grønnesby, Edvard Pedersen +5

Increased levels of tumor infiltrating lymphocytes (TILs) in cancer tissue indicate favourable outcomes in many types of cancer. Manual quantification of immune cells is inaccurate…