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Exploring scalable medical image encoders beyond text supervision

Exploring scalable medical image encoders beyond text supervision

19 January 2024
Fernando Pérez-García
Harshita Sharma
Sam Bond-Taylor
Kenza Bouzid
Valentina Salvatelli
Maximilian Ilse
Shruthi Bannur
Daniel Coelho De Castro
Anton Schwaighofer
M. Lungren
Maria T. A. Wetscherek
Noel C. F. Codella
Stephanie L. Hyland
Javier Alvarez-Valle
Ozan Oktay
    LM&MA
    MedIm
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Papers citing "Exploring scalable medical image encoders beyond text supervision"

24 / 24 papers shown
Title
From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language
  Models
From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models
Dongsheng Jiang
Yuchen Liu
Songlin Liu
Jiné Zhao
Hao Zhang
Zhen Gao
Xiaopeng Zhang
Jin Li
Hongkai Xiong
MLLM
VLM
45
35
0
13 Oct 2023
Virchow: A Million-Slide Digital Pathology Foundation Model
Virchow: A Million-Slide Digital Pathology Foundation Model
Eugene Vorontsov
Alican Bozkurt
Adam Casson
George Shaikovski
Michal Zelechowski
...
Razik Yousfi
Christopher Kanan
David Klimstra
B. Rothrock
Thomas J. Fuchs
MedIm
30
83
0
14 Sep 2023
CheXmask: a large-scale dataset of anatomical segmentation masks for
  multi-center chest x-ray images
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
Nicolás Gaggion
Candelaria Mosquera
Lucas Mansilla
Julia Mariel Saidman
M. Aineseder
Diego H. Milone
Enzo Ferrante
35
19
0
06 Jul 2023
What Do Self-Supervised Vision Transformers Learn?
What Do Self-Supervised Vision Transformers Learn?
Namuk Park
Wonjae Kim
Byeongho Heo
Taekyung Kim
Sangdoo Yun
SSL
134
77
1
01 May 2023
Learning to Exploit Temporal Structure for Biomedical Vision-Language
  Processing
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
Shruthi Bannur
Stephanie L. Hyland
Qianchu Liu
Fernando Pérez-García
Maximilian Ilse
...
Maria T. A. Wetscherek
M. Lungren
A. Nori
Javier Alvarez-Valle
Ozan Oktay
55
120
0
11 Jan 2023
VICRegL: Self-Supervised Learning of Local Visual Features
VICRegL: Self-Supervised Learning of Local Visual Features
Adrien Bardes
Jean Ponce
Yann LeCun
SSL
65
121
0
04 Oct 2022
Contrastive Masked Autoencoders are Stronger Vision Learners
Contrastive Masked Autoencoders are Stronger Vision Learners
Zhicheng Huang
Xiaojie Jin
Cheng Lu
Qibin Hou
Mingg-Ming Cheng
Dongmei Fu
Xiaohui Shen
Jiashi Feng
81
150
0
27 Jul 2022
Flamingo: a Visual Language Model for Few-Shot Learning
Flamingo: a Visual Language Model for Few-Shot Learning
Jean-Baptiste Alayrac
Jeff Donahue
Pauline Luc
Antoine Miech
Iain Barr
...
Mikolaj Binkowski
Ricardo Barreira
Oriol Vinyals
Andrew Zisserman
Karen Simonyan
MLLM
VLM
283
3,458
0
29 Apr 2022
On the Importance of Asymmetry for Siamese Representation Learning
On the Importance of Asymmetry for Siamese Representation Learning
Tianlin Li
Haoqi Fan
Yuandong Tian
Daisuke Kihara
Xinlei Chen
SSL
65
51
0
01 Apr 2022
Vision-Language Pre-Training with Triple Contrastive Learning
Vision-Language Pre-Training with Triple Contrastive Learning
Jinyu Yang
Jiali Duan
Son N. Tran
Yi Xu
Sampath Chanda
Liqun Chen
Belinda Zeng
Trishul Chilimbi
Junzhou Huang
VLM
85
292
0
21 Feb 2022
SLIP: Self-supervision meets Language-Image Pre-training
SLIP: Self-supervision meets Language-Image Pre-training
Norman Mu
Alexander Kirillov
David Wagner
Saining Xie
VLM
CLIP
105
485
0
23 Dec 2021
FLAVA: A Foundational Language And Vision Alignment Model
FLAVA: A Foundational Language And Vision Alignment Model
Amanpreet Singh
Ronghang Hu
Vedanuj Goswami
Guillaume Couairon
Wojciech Galuba
Marcus Rohrbach
Douwe Kiela
CLIP
VLM
70
703
0
08 Dec 2021
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image
  Analysis
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Yucheng Tang
Dong Yang
Wenqi Li
H. Roth
Bennett Landman
Daguang Xu
V. Nath
Ali Hatamizadeh
ViT
MedIm
88
524
0
29 Nov 2021
iBOT: Image BERT Pre-Training with Online Tokenizer
iBOT: Image BERT Pre-Training with Online Tokenizer
Jinghao Zhou
Chen Wei
Huiyu Wang
Wei Shen
Cihang Xie
Alan Yuille
Tao Kong
59
722
0
15 Nov 2021
FILIP: Fine-grained Interactive Language-Image Pre-Training
FILIP: Fine-grained Interactive Language-Image Pre-Training
Lewei Yao
Runhu Huang
Lu Hou
Guansong Lu
Minzhe Niu
Hang Xu
Xiaodan Liang
Zhenguo Li
Xin Jiang
Chunjing Xu
VLM
CLIP
75
627
0
09 Nov 2021
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
Zirui Wang
Jiahui Yu
Adams Wei Yu
Zihang Dai
Yulia Tsvetkov
Yuan Cao
VLM
MLLM
101
789
0
24 Aug 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
175
2,790
0
15 Jun 2021
Big Self-Supervised Models Advance Medical Image Classification
Big Self-Supervised Models Advance Medical Image Classification
Shekoofeh Azizi
Basil Mustafa
Fiona Ryan
Zach Beaver
Jan Freyberg
...
Alan Karthikesalingam
Simon Kornblith
Ting-Li Chen
Vivek Natarajan
Mohammad Norouzi
SSL
95
513
0
13 Jan 2021
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
189
3,992
0
20 Nov 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
159
4,051
0
17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
276
6,718
0
13 Jun 2020
CheXbert: Combining Automatic Labelers and Expert Annotations for
  Accurate Radiology Report Labeling Using BERT
CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
Akshay Smit
Saahil Jain
Pranav Rajpurkar
Anuj Pareek
A. Ng
M. Lungren
MedIm
30
329
0
20 Apr 2020
Exploring large scale public medical image datasets
Exploring large scale public medical image datasets
Luke Oakden-Rayner
45
173
0
30 Jul 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and
  Expert Comparison
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin
Pranav Rajpurkar
M. Ko
Yifan Yu
Silviana Ciurea-Ilcus
...
D. Larson
C. Langlotz
Bhavik Patel
M. Lungren
A. Ng
89
2,568
0
21 Jan 2019
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