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What Makes Transfer Learning Work For Medical Images: Feature Reuse &
  Other Factors

What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors

2 March 2022
Christos Matsoukas
Johan Fredin Haslum
Moein Sorkhei
Magnus P Soderberg
Kevin Smith
    VLM
    OOD
    MedIm
ArXivPDFHTML

Papers citing "What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors"

13 / 13 papers shown
Title
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study
Ali Mammadov
Loic Le Folgoc
Julien Adam
Anne Buronfosse
Gilles Hayem
Guillaume Hocquet
Pietro Gori
SSL
38
0
0
02 May 2025
MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search
MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search
Lotfi Abdelkrim Mecharbat
Ibrahim Almakky
Martin Takac
Mohammad Yaqub
30
0
0
22 Apr 2025
Multi-Scale Texture Loss for CT denoising with GANs
Multi-Scale Texture Loss for CT denoising with GANs
Francesco Di Feola
L. Tronchin
V. Guarrasi
Paolo Soda
MedIm
19
2
0
25 Mar 2024
MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks
MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks
Ibrahim Almakky
Santosh Sanjeev
Anees Ur Rehman Hashmi
Mohammad Areeb Qazi
Mohammad Yaqub
Mohammad Yaqub
FedML
MoMe
67
3
0
18 Mar 2024
B-Cos Aligned Transformers Learn Human-Interpretable Features
B-Cos Aligned Transformers Learn Human-Interpretable Features
Manuel Tran
Amal Lahiani
Yashin Dicente Cid
Melanie Boxberg
Peter Lienemann
C. Matek
S. J. Wagner
Fabian J. Theis
Eldad Klaiman
Tingying Peng
MedIm
ViT
8
2
0
16 Jan 2024
TransMed: Large Language Models Enhance Vision Transformer for
  Biomedical Image Classification
TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification
Kaipeng Zheng
Weiran Huang
Lichao Sun
LM&MA
MedIm
VLM
19
0
0
12 Dec 2023
Generalizing Across Domains in Diabetic Retinopathy via Variational
  Autoencoders
Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders
Sharon Chokuwa
M. H. Khan
10
5
0
20 Sep 2023
A Foundation Language-Image Model of the Retina (FLAIR): Encoding Expert Knowledge in Text Supervision
A Foundation Language-Image Model of the Retina (FLAIR): Encoding Expert Knowledge in Text Supervision
Julio Silva-Rodríguez
H. Chakor
Riadh Kobbi
Jose Dolz
Ismail Ben Ayed
VLM
MedIm
55
33
0
15 Aug 2023
The Performance of Transferability Metrics does not Translate to Medical
  Tasks
The Performance of Transferability Metrics does not Translate to Medical Tasks
Levy G. Chaves
Alceu Bissoto
Eduardo Valle
Sandra Avila
19
4
0
14 Aug 2023
DeDA: Deep Directed Accumulator
DeDA: Deep Directed Accumulator
Hang Zhang
Rongguang Wang
Renjiu Hu
Jinwei Zhang
Jiahao Nick Li
MedIm
19
4
0
15 Mar 2023
Rethinking Two Consensuses of the Transferability in Deep Learning
Rethinking Two Consensuses of the Transferability in Deep Learning
Yixiong Chen
Jingxia Li
C. Ding
Li Liu
14
2
0
01 Dec 2022
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
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
170
634
0
19 Sep 2019
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