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A General-Purpose Self-Supervised Model for Computational Pathology
29 August 2023
Richard J. Chen
Tong Ding
Ming Y. Lu
Drew F. K. Williamson
Guillaume Jaume
Bowen Chen
Andrew Zhang
Daniel Shao
Andrew H. Song
Muhammad Shaban
Mane Williams
Anurag J. Vaidya
S. Sahai
Lukas Oldenburg
Luca L Weishaupt
Judy J. Wang
Walt Williams
L. Le
Georg Gerber
Faisal Mahmood
MedIm
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Papers citing
"A General-Purpose Self-Supervised Model for Computational Pathology"
17 / 17 papers shown
Title
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images
Yicheng Song
Tiancheng Lin
Die Peng
Su Yang
Yi Xu
MedIm
31
0
0
10 May 2025
MI-VisionShot: Few-shot adaptation of vision-language models for slide-level classification of histopathological images
Pablo Meseguer
Rocío del Amor
Valery Naranjo
VLM
26
0
0
21 Oct 2024
DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology
Valentin Koch
S. J. Wagner
Salome Kazeminia
Ece Sancar
Matthias Hehr
Julia A. Schnabel
Tingying Peng
Carsten Marr
AI4CE
MedIm
27
5
0
07 Apr 2024
A self-supervised framework for learning whole slide representations
X. Hou
Cheng Jiang
A. Kondepudi
Yiwei Lyu
Asadur Chowdury
Honglak Lee
Todd C. Hollon
MedIm
33
5
0
09 Feb 2024
GRASP: GRAph-Structured Pyramidal Whole Slide Image Representation
Ali Khajegili Mirabadi
Graham Archibald
Amirali Darbandsari
A. Contreras-Sanz
Ramin Nakhli
...
C. Gilks
Peter C Black
Gang Wang
H. Farahani
A. Bashashati
32
5
0
06 Feb 2024
RudolfV: A Foundation Model by Pathologists for Pathologists
Jonas Dippel
Barbara Feulner
Tobias Winterhoff
Timo Milbich
Stephan Tietz
...
David Horst
Lukas Ruff
Klaus-Robert Muller
Frederick Klauschen
Maximilian Alber
36
29
0
08 Jan 2024
Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification
Honglin Li
Chenglu Zhu
Yunlong Zhang
Yuxuan Sun
Zhongyi Shui
Wenwei Kuang
S. Zheng
L. Yang
66
57
0
15 Mar 2023
Hierarchical discriminative learning improves visual representations of biomedical microscopy
Cheng Jiang
X. Hou
A. Kondepudi
Asadur Chowdury
C. Freudiger
D. Orringer
Honglak Lee
Todd C. Hollon
26
12
0
02 Mar 2023
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
Jing Xu
Xu Luo
Xinglin Pan
Wenjie Pei
Yanan Li
Zenglin Xu
36
21
0
30 Oct 2022
Understanding Collapse in Non-Contrastive Siamese Representation Learning
Alexander C. Li
Alexei A. Efros
Deepak Pathak
SSL
45
33
0
29 Sep 2022
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,443
0
11 Nov 2021
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images
N. Brancati
A. Anniciello
Pushpak Pati
D. Riccio
G. Scognamiglio
...
A. Foncubierta
G. Botti
M. Gabrani
Florinda Feroce
Maria Frucci
48
123
0
08 Nov 2021
Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers
C. Saillard
Olivier Dehaene
Tanguy Marchand
O. Moindrot
A. Kamoun
B. Schmauch
S. Jégou
35
39
0
13 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
317
5,785
0
29 Apr 2021
SEED: Self-supervised Distillation For Visual Representation
Zhiyuan Fang
Jianfeng Wang
Lijuan Wang
Lei Zhang
Yezhou Yang
Zicheng Liu
SSL
239
190
0
12 Jan 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
252
968
0
13 Dec 2020
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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