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Regression-based Deep-Learning predicts molecular biomarkers from
  pathology slides

Regression-based Deep-Learning predicts molecular biomarkers from pathology slides

11 April 2023
Omar S. M. El Nahhas
C. Loeffler
Zunamys I Carrero
M. Treeck
Fiona Kolbinger
K. J. Hewitt
H. Muti
Mara Graziani
Qinghe Zeng
J. Calderaro
Nadina Ortiz-Bruchle
T. Yuan
Michael Hoffmeister
Hermann Brenner
A. Brobeil
J. Reis-Filho
Jakob Nikolas Kather
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Papers citing "Regression-based Deep-Learning predicts molecular biomarkers from pathology slides"

10 / 10 papers shown
Title
Histo-Miner: Deep Learning based Tissue Features Extraction Pipeline from H&E Whole Slide Images of Cutaneous Squamous Cell Carcinoma
Histo-Miner: Deep Learning based Tissue Features Extraction Pipeline from H&E Whole Slide Images of Cutaneous Squamous Cell Carcinoma
Lucas Sancéré
Carina Lorenz
Doris Helbig
Oana-Diana Persa
Sonja Dengler
...
Martim Laimer
Anne Fröhlich
Jennifer Landsberg
Johannes Brägelmann
Katarzyna Bozek
46
0
0
07 May 2025
Robust Multimodal Survival Prediction with the Latent Differentiation Conditional Variational AutoEncoder
Robust Multimodal Survival Prediction with the Latent Differentiation Conditional Variational AutoEncoder
Junjie Zhou
Jiao Tang
Yingli Zuo
Peng Wan
Daoqiang Zhang
Wei Shao
60
1
0
12 Mar 2025
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
Julius Hense
M. J. Idaji
Oliver Eberle
Thomas Schnake
Jonas Dippel
Laure Ciernik
Oliver Buchstab
Andreas Mock
Frederick Klauschen
Klaus-Robert Müller
51
3
0
08 Jan 2025
Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning
Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning
Tim Lenz
Peter Neidlinger
M. Ligero
Georg Wolflein
M. Treeck
Jakob Nikolas Kather
73
2
0
20 Nov 2024
HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image
  Analysis
HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis
Guillaume Jaume
Paul Doucet
Andrew H. Song
Ming Y. Lu
Cristina Almagro-Pérez
...
Anurag J. Vaidya
Richard J. Chen
Drew F. K. Williamson
Ahrong Kim
Faisal Mahmood
49
30
0
23 Jun 2024
Towards Large-Scale Training of Pathology Foundation Models
Towards Large-Scale Training of Pathology Foundation Models
kaiko.ai
N. Aben
Edwin D. de Jong
Ioannis Gatopoulos
Nicolas Kanzig
Mikhail Karasikov
Axel Lagré
Roman Moser
J. Doorn
Fei Tang
MedIm
AI4CE
37
9
0
24 Mar 2024
Reducing self-supervised learning complexity improves weakly-supervised
  classification performance in computational pathology
Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology
Tim Lenz
Omar S. M. El Nahhas
M. Ligero
Jakob Nikolas Kather
29
0
0
07 Mar 2024
Joint multi-task learning improves weakly-supervised biomarker
  prediction in computational pathology
Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology
Omar S. M. El Nahhas
Georg Wolflein
M. Ligero
Tim Lenz
M. Treeck
Firas Khader
Daniel Truhn
Jakob Nikolas Kather
34
1
0
06 Mar 2024
From Whole-slide Image to Biomarker Prediction: A Protocol for
  End-to-End Deep Learning in Computational Pathology
From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology
Omar S. M. El Nahhas
M. Treeck
Georg Wolflein
Michaela Unger
M. Ligero
...
K. J. Hewitt
Firas Khader
S. Foersch
Daniel Truhn
Jakob Nikolas Kather
21
6
0
18 Dec 2023
Deep Multiple Instance Learning with Distance-Aware Self-Attention
Deep Multiple Instance Learning with Distance-Aware Self-Attention
Georg Wolflein
Lucie Charlotte Magister
Pietro Lio
David J. Harrison
Ognjen Arandjelovic
27
2
0
17 May 2023
1