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

2 March 2022

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

39 / 39 papers shown

Title
MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search Lotfi Abdelkrim Mecharbat Ibrahim Almakky Martin Takac Mohammad Yaqub 133 0 0 22 Apr 2025
APLA: A Simple Adaptation Method for Vision Transformers Moein Sorkhei Emir Konuk Kevin Smith Christos Matsoukas 117 0 0 14 Mar 2025
Multi-Scale Texture Loss for CT denoising with GANs Francesco Di Feola L. Tronchin V. Guarrasi Paolo Soda MedIm 87 2 0 25 Mar 2024
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 131 4 0 18 Mar 2024
RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training Zhixiu Lu Hailong Li N. Parikh Jonathan R. Dillman Lili He MedIm VLM 109 1 0 15 Mar 2024
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 214 44 0 15 Aug 2023
Is it Time to Replace CNNs with Transformers for Medical Images? Christos Matsoukas Johan Fredin Haslum Magnus P Soderberg Kevin Smith ViT OOD MedIm 72 148 0 20 Aug 2021
Do Vision Transformers See Like Convolutional Neural Networks? M. Raghu Thomas Unterthiner Simon Kornblith Chiyuan Zhang Alexey Dosovitskiy ViT 135 959 0 19 Aug 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 694 6,121 0 29 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 458 21,439 0 25 Mar 2021
Revisiting ResNets: Improved Training and Scaling Strategies Irwan Bello W. Fedus Xianzhi Du E. D. Cubuk A. Srinivas Nayeon Lee Jonathon Shlens Barret Zoph 84 300 0 13 Mar 2021
Supervised Transfer Learning at Scale for Medical Imaging Basil Mustafa Aaron Loh Jan Freyberg Patricia MacWilliams Megan Wilson ... Shruthi Prabhakara Umesh Telang Alan Karthikesalingam N. Houlsby Vivek Natarajan LM&MA 132 68 0 14 Jan 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 389 6,793 0 23 Dec 2020
Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth Thao Nguyen M. Raghu Simon Kornblith OOD 52 282 0 29 Oct 2020
What is being transferred in transfer learning? Behnam Neyshabur Hanie Sedghi Chiyuan Zhang 106 527 0 26 Aug 2020
A scoping review of transfer learning research on medical image analysis using ImageNet M. Morid Alireza Borjali G. Fiol 61 365 0 27 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 520 42,559 0 03 Dec 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 303 646 0 19 Sep 2019
BCN20000: Dermoscopic Lesions in the Wild Marc Combalia Noel Codella V. Rotemberg Brian Helba Verónica Vilaplana ... Cristina Carrera Alicia Barreiro Allan Halpern S. Puig J. Malvehy 66 446 0 06 Aug 2019
Similarity of Neural Network Representations Revisited Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton 141 1,429 0 01 May 2019
Transfusion: Understanding Transfer Learning for Medical Imaging M. Raghu Chiyuan Zhang Jon M. Kleinberg Samy Bengio MedIm 77 985 0 14 Feb 2019
Are All Layers Created Equal? Chiyuan Zhang Samy Bengio Y. Singer 64 140 0 06 Feb 2019
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 112 2,602 0 21 Jan 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 112 2,672 0 29 Nov 2018
Rethinking ImageNet Pre-training Kaiming He Ross B. Girshick Piotr Dollár VLM SSeg 130 1,085 0 21 Nov 2018
Domain Adaptive Transfer Learning with Specialist Models Jiquan Ngiam Daiyi Peng Vijay Vasudevan Simon Kornblith Quoc V. Le Ruoming Pang 61 108 0 16 Nov 2018
Rotation Equivariant CNNs for Digital Pathology Bastiaan S. Veeling J. Linmans Jim Winkens Taco S. Cohen Max Welling 116 584 0 08 Jun 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 167 1,328 0 23 May 2018
Pros and Cons of GAN Evaluation Measures Ali Borji ELM EGVM 67 878 0 09 Feb 2018
Are GANs Created Equal? A Large-Scale Study Mario Lucic Karol Kurach Marcin Michalski Sylvain Gelly Olivier Bousquet EGVM 74 1,013 0 28 Nov 2017
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC) Noel Codella D. Gutman M. E. Celebi Brian Helba Michael Marchetti ... Aadi Kalloo Konstantinos Liopyris N. Mishra Harald Kittler Allan Halpern 94 2,081 0 13 Oct 2017
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? Nima Tajbakhsh Jae Y. Shin S. Gurudu R. T. Hurst Christopher B. Kendall Michael B. Gotway Jianming Liang 227 2,529 0 02 Jun 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 883 27,412 0 02 Dec 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 326 18,647 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 234 8,344 0 06 Nov 2014
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 289 26,211 0 11 Nov 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 269 12,456 0 24 Jun 2012