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"

20 / 20 papers shown

Title
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 45 0 0 02 May 2025
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 Francesco Di Feola L. Tronchin V. Guarrasi Paolo Soda MedIm 26 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 82 3 0 18 Mar 2024
Part-aware Personalized Segment Anything Model for Patient-Specific Segmentation Chenhui Zhao Liyue Shen VLM 29 3 0 08 Mar 2024
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 13 2 0 16 Jan 2024
TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification Kaipeng Zheng Weiran Huang Lichao Sun LM&MA MedIm VLM 25 0 0 12 Dec 2023
Rotation-Agnostic Image Representation Learning for Digital Pathology Saghir Alfasly A. Shafique Peyman Nejat Jibran A. Khan Areej Alsaafin Ghazal Alabtah H. R. Tizhoosh MedIm 24 6 0 14 Nov 2023
Are Natural Domain Foundation Models Useful for Medical Image Classification? Joana Palés Huix Adithya Raju Ganeshan Johan Fredin Haslum Magnus P Soderberg Christos Matsoukas Kevin Smith OOD MedIm VLM 24 30 0 30 Oct 2023
Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders Sharon Chokuwa M. H. Khan 31 5 0 20 Sep 2023
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays Aroof Aimen Arsh Verma Makarand Tapaswi N. C. Krishnan 32 0 0 08 Sep 2023
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
The Performance of Transferability Metrics does not Translate to Medical Tasks Levy G. Chaves Alceu Bissoto Eduardo Valle Sandra Avila 27 4 0 14 Aug 2023
DeDA: Deep Directed Accumulator Hang Zhang Rongguang Wang Renjiu Hu Jinwei Zhang Jiahao Nick Li MedIm 27 4 0 15 Mar 2023
Pretrained ViTs Yield Versatile Representations For Medical Images Christos Matsoukas Johan Fredin Haslum Magnus P Soderberg Kevin Smith MedIm ViT 19 11 0 13 Mar 2023
Metadata-guided Consistency Learning for High Content Images Johan Fredin Haslum Christos Matsoukas Karl‐Johan Leuchowius Erik Mullers Kevin Smith 25 8 0 22 Dec 2022
Rethinking Two Consensuses of the Transferability in Deep Learning Yixiong Chen Jingxia Li C. Ding Li Liu 24 2 0 01 Dec 2022
Can we Adopt Self-supervised Pretraining for Chest X-Rays? Arsh Verma Makarand Tapaswi SSL 25 3 0 23 Nov 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 314 5,775 0 29 Apr 2021
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 177 639 0 19 Sep 2019