Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects

28 December 2023

Papers citing "Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects"

7 / 7 papers shown

Title
Replay to Remember (R2R): An Efficient Uncertainty-driven Unsupervised Continual Learning Framework Using Generative Replay Sriram Mandalika Harsha Vardhan Athira Nambiar VLM 58 0 0 07 May 2025
Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision Bobby Azad Reza Azad Sania Eskandari Afshin Bozorgpour A. Kazerouni I. Rekik Dorit Merhof VLM MedIm 93 57 0 28 Oct 2023
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification Jiancheng Yang Rui Shi D. Wei Zequan Liu Lin Zhao B. Ke Hanspeter Pfister Bingbing Ni VLM 161 634 0 27 Oct 2021
Kernel Continual Learning Mohammad Mahdi Derakhshani Xiantong Zhen Ling Shao Cees G. M. Snoek CLL BDL VLM 67 38 0 12 Jul 2021
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning Fernando Pérez-García Rachel Sparks Sébastien Ourselin MedIm LM&MA 129 426 0 09 Mar 2020
Endoscopy disease detection challenge 2020 Sharib Ali N. Ghatwary B. Braden Dominique Lamarque A. Bailey S. Realdon R. Cannizzaro J. Rittscher C. Daul J. East 13 24 0 07 Mar 2020
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016