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Attention-based Interpretable Regression of Gene Expression in Histology

Attention-based Interpretable Regression of Gene Expression in Histology

29 August 2022
Mara Graziani
Niccolo Marini
Nicolas Deutschmann
Nikita Janakarajan
Henning Muller
María Rodríguez Martínez
    MedIm
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Papers citing "Attention-based Interpretable Regression of Gene Expression in Histology"

5 / 5 papers shown
Title
"No negatives needed": weakly-supervised regression for interpretable tumor detection in whole-slide histopathology images
"No negatives needed": weakly-supervised regression for interpretable tumor detection in whole-slide histopathology images
Marina DÁmato
J. A. van der Laak
F. Ciompi
48
0
0
28 Feb 2025
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
16
6
0
18 Dec 2023
Regression-based Deep-Learning predicts molecular biomarkers from
  pathology slides
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides
Omar S. M. El Nahhas
C. Loeffler
Zunamys I Carrero
M. Treeck
F. Kolbinger
...
Michael Hoffmeister
Hermann Brenner
A. Brobeil
J. Reis-Filho
Jakob Nikolas Kather
22
46
0
11 Apr 2023
Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A
  Practical Review
Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review
Heather D. Couture
40
20
0
27 Nov 2022
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
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