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Virchow2: Scaling Self-Supervised Mixed Magnification Models in
  Pathology

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

1 August 2024
Eric Zimmermann
Eugene Vorontsov
Julian Viret
Adam Casson
Michal Zelechowski
George Shaikovski
Neil Tenenholtz
James Hall
David Klimstra
Razik Yousfi
Thomas J. Fuchs
Nicolò Fusi
Siqi Liu
Kristen Severson
    MedIm
ArXivPDFHTML

Papers citing "Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology"

20 / 20 papers shown
Title
Training state-of-the-art pathology foundation models with orders of magnitude less data
Training state-of-the-art pathology foundation models with orders of magnitude less data
Mikhail Karasikov
J. Doorn
Nicolas Kanzig
Melis Erdal Cesur
Hugo Mark Horlings
Robert Berke
Fei Tang
Sebastian Otálora
AI4CE
21
0
0
07 Apr 2025
A Survey of Pathology Foundation Model: Progress and Future Directions
A Survey of Pathology Foundation Model: Progress and Future Directions
Conghao Xiong
Hao Chen
Joseph J. Y. Sung
LM&MA
AI4CE
46
0
0
05 Apr 2025
Artificial Intelligence-Assisted Prostate Cancer Diagnosis for Reduced Use of Immunohistochemistry
Artificial Intelligence-Assisted Prostate Cancer Diagnosis for Reduced Use of Immunohistochemistry
A. Blilie
N. Mulliqi
X. Ji
Kelvin Szolnoky
Sol Erika Boman
...
S. R. Kjosavik
L. Egevad
E. Janssen
M. Eklund
K. Kartasalo
33
0
0
31 Mar 2025
Multi-Modal Foundation Models for Computational Pathology: A Survey
Multi-Modal Foundation Models for Computational Pathology: A Survey
Dong Li
Guihong Wan
Xintao Wu
Xinyu Wu
Xiaohui Chen
Yi He
Christine G. Lian
Peter K. Sorger
Yevgeniy R. Semenov
Chen Zhao
MedIm
42
0
0
12 Mar 2025
A Lightweight and Extensible Cell Segmentation and Classification Model for Whole Slide Images
A Lightweight and Extensible Cell Segmentation and Classification Model for Whole Slide Images
N. Shvetsov
T. Kilvaer
M. Tafavvoghi
Anders Sildnes
Kajsa Møllersen
Lill-ToveRasmussen Busund
L. A. Bongo
VLM
63
1
0
26 Feb 2025
LLM Agents Making Agent Tools
LLM Agents Making Agent Tools
Georg Wolflein
Dyke Ferber
Daniel Truhn
Ognjen Arandjelovic
Jakob Nikolas Kather
LLMAG
47
4
0
17 Feb 2025
Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images
Sichen Zhu
Yuchen Zhu
Molei Tao
Peng-Chao Qiu
MedIm
29
0
0
28 Jan 2025
Transfer Learning Strategies for Pathological Foundation Models: A Systematic Evaluation in Brain Tumor Classification
Transfer Learning Strategies for Pathological Foundation Models: A Systematic Evaluation in Brain Tumor Classification
Ken Enda
Yoshitaka Oda
Zen-ichi Tanei
Wang Lei
Masumi Tsuda
...
Shinya Tanaka
Takahiro Ogawa
Wang Lei
Masumi Tsuda
Shinya Tanaka
33
0
0
19 Jan 2025
Is Self-Supervision Enough? Benchmarking Foundation Models Against
  End-to-End Training for Mitotic Figure Classification
Is Self-Supervision Enough? Benchmarking Foundation Models Against End-to-End Training for Mitotic Figure Classification
J. Ganz
Jonas Ammeling
Emely Rosbach
Ludwig Lausser
C. Bertram
Katharina Breininger
Marc Aubreville
62
0
0
09 Dec 2024
Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning
Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning
Varun Belagali
Srikar Yellapragada
Alexandros Graikos
S. Kapse
Zilinghan Li
Tarak Nandi
Ravi K. Madduri
Prateek Prasanna
Joel H. Saltz
Dimitris Samaras
DiffM
73
1
0
02 Dec 2024
Specialized Foundation Models Struggle to Beat Supervised Baselines
Specialized Foundation Models Struggle to Beat Supervised Baselines
Zongzhe Xu
Ritvik Gupta
Wenduo Cheng
Alexander Shen
Junhong Shen
Ameet Talwalkar
M. Khodak
AI4CE
38
4
0
05 Nov 2024
Evaluating Computational Pathology Foundation Models for Prostate Cancer
  Grading under Distribution Shifts
Evaluating Computational Pathology Foundation Models for Prostate Cancer Grading under Distribution Shifts
Fredrik K. Gustafsson
Mattias Rantalainen
OOD
MedIm
21
0
0
09 Oct 2024
A New Era in Computational Pathology: A Survey on Foundation and
  Vision-Language Models
A New Era in Computational Pathology: A Survey on Foundation and Vision-Language Models
Dibaloke Chanda
Milan Aryal
Nasim Yahya Soltani
Masoud Ganji
AI4CE
VLM
34
7
0
23 Aug 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
36
28
0
23 Jun 2024
Computational Pathology at Health System Scale -- Self-Supervised
  Foundation Models from Three Billion Images
Computational Pathology at Health System Scale -- Self-Supervised Foundation Models from Three Billion Images
Gabriele Campanella
Ricky Kwan
Eugene Fluder
Jennifer Zeng
A. Stock
...
Adam J. Schoenfeld
Chad M. Vanderbilt
P. Kovatch
Carlos Cordon-Cardo
Thomas J. Fuchs
MedIm
50
20
0
10 Oct 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
Decoupled Contrastive Learning
Decoupled Contrastive Learning
Chun-Hsiao Yeh
Cheng-Yao Hong
Yen-Chi Hsu
Tyng-Luh Liu
Yubei Chen
Yann LeCun
165
181
0
13 Oct 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
235
3,029
0
09 Mar 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
220
3,054
0
23 Jan 2020
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