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Robust and Efficient Medical Imaging with Self-Supervision

Robust and Efficient Medical Imaging with Self-Supervision

19 May 2022
Shekoofeh Azizi
Laura J. Culp
Jan Freyberg
Basil Mustafa
Sebastien Baur
Simon Kornblith
Ting Chen
Patricia MacWilliams
S. S. Mahdavi
Ellery Wulczyn
Boris Babenko
Megan Wilson
Aaron Loh
Po-Hsuan Cameron Chen
Yuan Liu
Pinal Bavishi
S. McKinney
Jim Winkens
Abhijit Guha Roy
Zach Beaver
Fiona Ryan
Justin D. Krogue
M. Etemadi
Umesh Telang
Yun-hui Liu
L. Peng
G. Corrado
D. Webster
David Fleet
Geoffrey E. Hinton
N. Houlsby
Alan Karthikesalingam
Mohammad Norouzi
Vivek Natarajan
    OOD
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Papers citing "Robust and Efficient Medical Imaging with Self-Supervision"

12 / 12 papers shown
Title
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
Han Gu
Haoyu Dong
Jichen Yang
Maciej Mazurowski
MedIm
VLM
80
12
0
15 Apr 2024
Learning Low-Rank Feature for Thorax Disease Classification
Learning Low-Rank Feature for Thorax Disease Classification
Rajeev Goel
Utkarsh Nath
Yancheng Wang
Alvin C. Silva
Teresa Wu
Yingzhen Yang
22
0
0
14 Feb 2024
Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation
  classification
Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification
Daniele Perlo
L. Berton
Alessia Delpiano
Francesca Menchini
S. Tibaldi
M. Grosso
P. Fonio
19
0
0
25 Jan 2024
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed
  Opportunity
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity
Raman Dutt
Linus Ericsson
Pedro Sanchez
Sotirios A. Tsaftaris
Timothy M. Hospedales
MedIm
22
50
0
14 May 2023
How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer
  to Novel Tasks and Healthcare Systems
How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer to Novel Tasks and Healthcare Systems
Cara Van Uden
Jeremy Irvin
Mars Huang
N. Dean
J. Carr
A. Ng
C. Langlotz
OOD
24
1
0
13 May 2023
MOTOR: A Time-To-Event Foundation Model For Structured Medical Records
MOTOR: A Time-To-Event Foundation Model For Structured Medical Records
E. Steinberg
Jason Alan Fries
Yizhe Xu
N. Shah
OOD
AI4TS
28
13
0
09 Jan 2023
Self-Supervised Learning with Limited Labeled Data for Prostate Cancer
  Detection in High Frequency Ultrasound
Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound
P. Wilson
Mahdi Gilany
A. Jamzad
Fahimeh Fooladgar
Minh Nguyen Nhat To
Brian Wodlinger
Purang Abolmaesumi
P. Mousavi
40
12
0
01 Nov 2022
Risk of Bias in Chest Radiography Deep Learning Foundation Models
Risk of Bias in Chest Radiography Deep Learning Foundation Models
Ben Glocker
Charles Jones
Mélanie Roschewitz
S. Winzeck
15
35
0
07 Sep 2022
How Robust is Unsupervised Representation Learning to Distribution
  Shift?
How Robust is Unsupervised Representation Learning to Distribution Shift?
Yuge Shi
Imant Daunhawer
Julia E. Vogt
Philip H. S. Torr
Amartya Sanyal
OOD
32
25
0
17 Jun 2022
From Modern CNNs to Vision Transformers: Assessing the Performance,
  Robustness, and Classification Strategies of Deep Learning Models in
  Histopathology
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology
Maximilian Springenberg
A. Frommholz
M. Wenzel
Eva Weicken
Jackie Ma
Nils Strodthoff
MedIm
25
42
0
11 Apr 2022
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
Dong Wang
Yuan Zhang
Kexin Zhang
Liwei Wang
81
119
0
20 Mar 2020
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
39,194
0
01 Sep 2014
1