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Extending Unsupervised Neural Image Compression With Supervised
  Multitask Learning

Extending Unsupervised Neural Image Compression With Supervised Multitask Learning

15 April 2020
David Tellez
D. Höppener
Cornelis Verhoef
D. Grünhagen
Pieter M H Nierop
M. Drozdzal
Jeroen van der Laak
F. Ciompi
    MedIm
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Papers citing "Extending Unsupervised Neural Image Compression With Supervised Multitask Learning"

4 / 4 papers shown
Title
Tissue Concepts: supervised foundation models in computational pathology
Tissue Concepts: supervised foundation models in computational pathology
Till Nicke
Jan Raphael Schaefer
Henning Hoefener
Friedrich Feuerhake
Dorit Merhof
Fabian Kiessling
Johannes Lotz
MedIm
47
0
0
05 Sep 2024
Patch Gradient Descent: Training Neural Networks on Very Large Images
Patch Gradient Descent: Training Neural Networks on Very Large Images
D. K. Gupta
Gowreesh Mago
Arnav Chavan
Dilip K. Prasad
32
2
0
31 Jan 2023
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD
  classification directly from H&E whole-slide images in colorectal and breast
  cancer
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
E. Gavves
I. Nederlof
H. Horlings
Jonas Teuwen
25
92
0
20 Jul 2021
Multiple Instance Captioning: Learning Representations from
  Histopathology Textbooks and Articles
Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles
Jevgenij Gamper
Nasir M. Rajpoot
21
62
0
08 Mar 2021
1