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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"

31 / 81 papers shown

Title
A large annotated medical image dataset for the development and evaluation of segmentation algorithms Amber L. Simpson Michela Antonelli Spyridon Bakas Michel Bilello Keyvan Farahani ... M. McHugo S. Napel Eugene Vorontsov Lena Maier-Hein M. Jorge Cardoso 117 862 0 25 Feb 2019
2017 Robotic Instrument Segmentation Challenge M. Allan Alexey A. Shvets T. Kurmann Zichen Zhang Rahul Duggal ... Jian Yang Danail Stoyanov Lena Maier-Hein Stefanie Speidel M. Azizian 89 230 0 18 Feb 2019
PadChest: A large chest x-ray image dataset with multi-label annotated reports A. Bustos A. Pertusa J. M. Salinas M. Iglesia-Vayá LM&MA 71 614 0 22 Jan 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 114 2,601 0 21 Jan 2019
The Liver Tumor Segmentation Benchmark (LiTS) Patrick Bilic P. Christ Hongwei Bran Li Eugene Vorontsov Avi Ben-Cohen ... L. Soler Bram van Ginneken H. Greenspan Leo Joskowicz Bjoern Menze 124 1,025 0 13 Jan 2019
Efficient Lifelong Learning with A-GEM Arslan Chaudhry MarcÁurelio Ranzato Marcus Rohrbach Mohamed Elhoseiny CLL 210 1,461 0 02 Dec 2018
Learning without Memorizing Prithviraj Dhar Rajat Vikram Singh Kuan-Chuan Peng Ziyan Wu Rama Chellappa CLL 88 486 0 20 Nov 2018
Towards continual learning in medical imaging Chaitanya Baweja Ben Glocker Konstantinos Kamnitsas CLL 60 57 0 06 Nov 2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge Spyridon Bakas M. Reyes Andras Jakab Stefan Bauer Markus Rempfler ... Jayashree Kalpathy-Cramer Keyvan Farahani Christos Davatzikos Koen van Leemput Bjoern Menze 136 1,638 0 05 Nov 2018
The UCR Time Series Archive Hoang Anh Dau A. Bagnall Kaveh Kamgar Chin-Chia Michael Yeh Yan Zhu Shaghayegh Gharghabi C. Ratanamahatana Eamonn Keogh 64 832 0 17 Oct 2018
Continual Learning of Context-dependent Processing in Neural Networks Guanxiong Zeng Yang Chen Bo Cui Shan Yu CLL 82 310 0 29 Sep 2018
Learn the new, keep the old: Extending pretrained models with new anatomy and images Firat Özdemir Philipp Fürnstahl Orçun Göksel CLL 56 48 0 01 Jun 2018
Progress & Compress: A scalable framework for continual learning Jonathan Richard Schwarz Jelena Luketina Wojciech M. Czarnecki A. Grabska-Barwinska Yee Whye Teh Razvan Pascanu R. Hadsell CLL 125 889 0 16 May 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry P. Dokania Thalaiyasingam Ajanthan Philip Torr CLL 105 1,144 0 30 Jan 2018
Memory Aware Synapses: Learning what (not) to forget Rahaf Aljundi F. Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars KELM CLL 87 1,646 0 27 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
Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang CLL 123 1,229 0 04 Aug 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 127 2,735 0 26 Jun 2017
Encoder Based Lifelong Learning Amal Rannen Triki Rahaf Aljundi Mathew B. Blaschko Tinne Tuytelaars CLL 103 321 0 06 Apr 2017
PathNet: Evolution Channels Gradient Descent in Super Neural Networks Chrisantha Fernando Dylan Banarse Charles Blundell Yori Zwols David R Ha Andrei A. Rusu Alexander Pritzel Daan Wierstra 75 881 0 30 Jan 2017
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge A. Setio A. Traverso Thomas de Bel Moira S. N. Berens C. V. D. Bogaard ... Jef Vandemeulebroucke N. Walasek G. Zuidhof Bram van Ginneken Colin Jacobs 90 1,080 0 23 Dec 2016
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 374 7,561 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 160 3,781 0 23 Nov 2016
Expert Gate: Lifelong Learning with a Network of Experts Rahaf Aljundi Punarjay Chakravarty Tinne Tuytelaars CLL 87 662 0 18 Nov 2016
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 272 4,159 0 18 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 786 36,881 0 25 Aug 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 216 6,155 0 01 Jul 2016
Less-forgetting Learning in Deep Neural Networks Heechul Jung Jeongwoo Ju Minju Jung Junmo Kim 100 229 0 01 Jul 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 306 4,428 0 29 Jun 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation Konstantinos Kamnitsas C. Ledig Virginia Newcombe Joanna P. Simpson A. D. Kane David Menon Daniel Rueckert Ben Glocker MedIm 3DV 143 3,060 0 18 Mar 2016
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks Ian Goodfellow M. Berk Mirza Xia Da Aaron Courville Yoshua Bengio 149 1,452 0 21 Dec 2013