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Jonas Teuwen

5 papers hereh-index 91k citations23 works total

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

author position
  • middle author3
  • last author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • eess.IV4
  • cs.LG1
same name
  • Jonas Teuwen — 15 papers, h 18
  • Jonas Teuwen — 4 papers, h 1
  • Jonas Teuwen — 4 papers, h 8
  • Jonas Teuwen — 2 papers

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
20212025
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations · 533 across the 5 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

eess.IV2021

WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need

Yoni Schirris, Mendel Engelaer, Andreas Panteli +3

We present WeakSTIL, an interpretable two-stage weak label deep learning pipeline for scoring the percentage of stromal tumor infiltrating lymphocytes (sTIL%) in H&E-stained whole-…

eess.IV2021★ 143 cited

DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer

Yoni Schirris, Efstratios Gavves, Iris Nederlof +2

We propose a Deep learning-based weak label learning method for analyzing whole slide images (WSIs) of Hematoxylin and Eosin (H&E) stained tumor tissue not requiring pixel-level or…

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