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Transfusion: Understanding Transfer Learning for Medical Imaging

Transfusion: Understanding Transfer Learning for Medical Imaging

14 February 2019
M. Raghu
Chiyuan Zhang
Jon M. Kleinberg
Samy Bengio
    MedIm
ArXivPDFHTML

Papers citing "Transfusion: Understanding Transfer Learning for Medical Imaging"

50 / 93 papers shown
Title
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation
H. Wang
Yifeng Wu
Huimin Huang
Hongtao Wu
Jia-Xuan Jiang
...
Hao Zheng
Xian Wu
Yefeng Zheng
Jinping Xu
Jing Cheng
MedIm
29
0
0
09 May 2025
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds
Aoran Chen
Yang Feng
24
0
0
05 May 2025
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
42
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
A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?
A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?
Julio Silva-Rodríguez
Jose Dolz
Ismail ben Ayed
VLM
MedIm
31
0
0
07 Apr 2025
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
F. Jonske
M. Kim
Enrico Nasca
J. Evers
Johannes Haubold
...
F. Nensa
Michael Kamp
C. Seibold
Jan Egger
Jens Kleesiek
79
1
0
17 Feb 2025
FedTLU: Federated Learning with Targeted Layer Updates
FedTLU: Federated Learning with Targeted Layer Updates
Jong-Ik Park
Carlee Joe-Wong
FedML
84
0
0
28 Jan 2025
Brain Tumor Classification on MRI in Light of Molecular Markers
Brain Tumor Classification on MRI in Light of Molecular Markers
Jun Liu
Geng Yuan
Weihao Zeng
Hao Tang
Wenbin Zhang
Xue Lin
Xiaolin Xu
Dong Huang
Yanzhi Wang
26
2
0
29 Sep 2024
KITE: A Kernel-based Improved Transferability Estimation Method
KITE: A Kernel-based Improved Transferability Estimation Method
Yunhui Guo
43
0
0
01 May 2024
Transfer Learning Study of Motion Transformer-based Trajectory
  Predictions
Transfer Learning Study of Motion Transformer-based Trajectory Predictions
Lars Ullrich
Alex McMaster
Knut Graichen
38
3
0
12 Apr 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
77
3
0
18 Mar 2024
Artificial Bee Colony optimization of Deep Convolutional Neural Networks
  in the context of Biomedical Imaging
Artificial Bee Colony optimization of Deep Convolutional Neural Networks in the context of Biomedical Imaging
Adri Gomez Martin
Carlos Fernandez del Cerro
Monica Abella Garcia
Manuel Desco Menendez
29
0
0
23 Feb 2024
A Recent Survey of Heterogeneous Transfer Learning
A Recent Survey of Heterogeneous Transfer Learning
Runxue Bao
Yiming Sun
Yuhe Gao
Jindong Wang
Qiang Yang
Zhi-Hong Mao
Ye Ye
22
4
0
12 Oct 2023
Prototypical Cross-domain Knowledge Transfer for Cervical Dysplasia
  Visual Inspection
Prototypical Cross-domain Knowledge Transfer for Cervical Dysplasia Visual Inspection
Yichen Zhang
Yifang Yin
Ying Zhang
Zhenguang Liu
Zheng Wang
Roger Zimmermann
21
2
0
19 Aug 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
64
33
0
15 Aug 2023
PRIOR: Prototype Representation Joint Learning from Medical Images and
  Reports
PRIOR: Prototype Representation Joint Learning from Medical Images and Reports
Pujin Cheng
Li Lin
Junyan Lyu
Yijin Huang
Wenhan Luo
Xiaoying Tang
MedIm
19
44
0
24 Jul 2023
WizMap: Scalable Interactive Visualization for Exploring Large Machine
  Learning Embeddings
WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings
Zijie J. Wang
Fred Hohman
Duen Horng Chau
26
20
0
15 Jun 2023
How Will It Drape Like? Capturing Fabric Mechanics from Depth Images
How Will It Drape Like? Capturing Fabric Mechanics from Depth Images
Carlos Rodriguez-Pardo
Melania Prieto-Martin
Dan Casas
Elena Garces
18
12
0
13 Apr 2023
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Julio Silva-Rodríguez
Jose Dolz
Ismail Ben Ayed
57
12
0
29 Mar 2023
The Role of Pre-training Data in Transfer Learning
The Role of Pre-training Data in Transfer Learning
R. Entezari
Mitchell Wortsman
O. Saukh
M. Shariatnia
Hanie Sedghi
Ludwig Schmidt
43
20
0
27 Feb 2023
Artificial Intelligence System for Detection and Screening of Cardiac
  Abnormalities using Electrocardiogram Images
Artificial Intelligence System for Detection and Screening of Cardiac Abnormalities using Electrocardiogram Images
Deyun Zhang
Shijia Geng
Yang Zhou
Wei-Zhao Xu
Guodong Wei
...
Tong Liu
Kangyin Chen
Chenyang Jiang
Xingpeng Liu
linda Qiao
11
5
0
10 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for
  Medical Images
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang
E. Ahn
Da-wei Feng
Jinman Kim
MedIm
16
27
0
10 Feb 2023
Cross-Architectural Positive Pairs improve the effectiveness of
  Self-Supervised Learning
Cross-Architectural Positive Pairs improve the effectiveness of Self-Supervised Learning
P. Singh
Jacopo Cirrone
SSL
31
0
0
27 Jan 2023
Self-supervised Learning for Segmentation and Quantification of Dopamine
  Neurons in Parkinson's Disease
Self-supervised Learning for Segmentation and Quantification of Dopamine Neurons in Parkinson's Disease
F. Haghighi
Soumitra Ghosh
Hai Ngu
Sarah Chu
Han Lin
Mohsen Hejrati
Baris Bingol
Somaye Hashemifar
13
2
0
11 Jan 2023
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Andrei Atanov
Andrei Filatov
Teresa Yeo
Ajay Sohmshetty
Amir Zamir
OOD
38
10
0
01 Dec 2022
Transfer Learning with Uncertainty Quantification: Random Effect
  Calibration of Source to Target (RECaST)
Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST)
Jimmy Hickey
Jonathan P. Williams
Emily C. Hector
UQCV
BDL
21
2
0
29 Nov 2022
Transfer Learning for Contextual Multi-armed Bandits
Transfer Learning for Contextual Multi-armed Bandits
Changxiao Cai
T. Tony Cai
Hongzhe Li
29
16
0
22 Nov 2022
Layer-Stack Temperature Scaling
Layer-Stack Temperature Scaling
Amr Khalifa
Michael C. Mozer
Hanie Sedghi
Behnam Neyshabur
Ibrahim M. Alabdulmohsin
72
2
0
18 Nov 2022
On the Effect of Pre-training for Transformer in Different Modality on
  Offline Reinforcement Learning
On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning
S. Takagi
OffRL
18
7
0
17 Nov 2022
Prompt Tuning for Parameter-efficient Medical Image Segmentation
Prompt Tuning for Parameter-efficient Medical Image Segmentation
Marc Fischer
Alexander Bartler
Bin Yang
SSeg
14
18
0
16 Nov 2022
Automated analysis of diabetic retinopathy using vessel segmentation
  maps as inductive bias
Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias
Linus Kreitner
Ivan Ezhov
Daniel Rueckert
Johannes C. Paetzold
M. Menten
29
2
0
28 Oct 2022
Sauron U-Net: Simple automated redundancy elimination in medical image
  segmentation via filter pruning
Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruning
Juan Miguel Valverde
Artem Shatillo
Jussi Tohka
AAML
18
5
0
27 Sep 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing
  Methods
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods
Ricards Marcinkevics
Ece Ozkan
Julia E. Vogt
14
18
0
26 Jul 2022
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of
  Uncertainty and Limited Field-of-View
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View
V. Zimmer
A. Gómez
E. Skelton
Robert Wright
G. Wheeler
...
Jacqueline Matthew
Bernhard Kainz
Daniel Rueckert
Joseph V. Hajnal
J. Schnabel
17
22
0
29 Jun 2022
Towards Self-supervised and Weight-preserving Neural Architecture Search
Towards Self-supervised and Weight-preserving Neural Architecture Search
Zhuowei Li
Yibo Gao
Zhenzhou Zha
Hu Zhiqiang
Qing Xia
Shaoting Zhang
Dimitris N. Metaxas
16
4
0
08 Jun 2022
Neural Collapse: A Review on Modelling Principles and Generalization
Neural Collapse: A Review on Modelling Principles and Generalization
Vignesh Kothapalli
19
71
0
08 Jun 2022
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models
Yang Shu
Zhangjie Cao
Ziyang Zhang
Jianmin Wang
Mingsheng Long
15
4
0
08 Jun 2022
Self-Supervised Learning as a Means To Reduce the Need for Labeled Data
  in Medical Image Analysis
Self-Supervised Learning as a Means To Reduce the Need for Labeled Data in Medical Image Analysis
Marin Benvcević
Marija Habijan
Irena Galić
A. Pižurica
SSL
25
6
0
01 Jun 2022
How do Variational Autoencoders Learn? Insights from Representational
  Similarity
How do Variational Autoencoders Learn? Insights from Representational Similarity
Lisa Bonheme
M. Grzes
CoGe
SSL
DRL
19
10
0
17 May 2022
Multi-View Hypercomplex Learning for Breast Cancer Screening
Multi-View Hypercomplex Learning for Breast Cancer Screening
Eleonora Lopez
Eleonora Grassucci
Martina Valleriani
Danilo Comminiello
28
8
0
12 Apr 2022
SSD-KD: A Self-supervised Diverse Knowledge Distillation Method for
  Lightweight Skin Lesion Classification Using Dermoscopic Images
SSD-KD: A Self-supervised Diverse Knowledge Distillation Method for Lightweight Skin Lesion Classification Using Dermoscopic Images
Yongwei Wang
Yuheng Wang
Tim K. Lee
C. Miao
Z. J. Wang
13
74
0
22 Mar 2022
Temporal Context Matters: Enhancing Single Image Prediction with Disease
  Progression Representations
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations
Aishik Konwer
Xuan Xu
Joseph Bae
Chaoyu Chen
Prateek Prasanna
MedIm
28
15
0
02 Mar 2022
What Makes Transfer Learning Work For Medical Images: Feature Reuse &
  Other Factors
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors
Christos Matsoukas
Johan Fredin Haslum
Moein Sorkhei
Magnus P Soderberg
Kevin Smith
VLM
OOD
MedIm
22
85
0
02 Mar 2022
Improving Classification Model Performance on Chest X-Rays through Lung
  Segmentation
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation
Hilda Azimi
Jianxing Zhang
Pengcheng Xi
H. Asad
Ashkan Ebadi
Stéphane Tremblay
Alexander Wong
13
7
0
22 Feb 2022
SleepPPG-Net: a deep learning algorithm for robust sleep staging from
  continuous photoplethysmography
SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography
Kevin Kotzen
Peter H. Charlton
Sharon Salabi
Lea Amar
A. Landesberg
Joachim A. Behar
17
29
0
11 Feb 2022
Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep
  Anchor Attention Learning with Vision Transformer
Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep Anchor Attention Learning with Vision Transformer
Xuan Xu
Prateek Prasanna
ViT
MedIm
16
7
0
03 Feb 2022
Predicting Knee Osteoarthritis Progression from Structural MRI using
  Deep Learning
Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning
E. Panfilov
S. Saarakkala
M. Nieminen
A. Tiulpin
MedIm
17
9
0
26 Jan 2022
Transferability in Deep Learning: A Survey
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
17
100
0
15 Jan 2022
Turath-150K: Image Database of Arab Heritage
Turath-150K: Image Database of Arab Heritage
Dani Kiyasseh
Rasheed el-Bouri
13
0
0
01 Jan 2022
BT-Unet: A self-supervised learning framework for biomedical image
  segmentation using Barlow Twins with U-Net models
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models
Narinder Singh Punn
Sonali Agarwal
SSL
30
34
0
07 Dec 2021
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