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Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation

19 July 2021

Papers citing "Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation"

25 / 25 papers shown

Title
Learning Invariant Representation for Continual Learning Ghada Sokar Decebal Constantin Mocanu Mykola Pechenizkiy BDL CLL 54 16 0 15 Jan 2021
PLOP: Learning without Forgetting for Continual Semantic Segmentation Arthur Douillard Yifu Chen Arnaud Dapogny Matthieu Cord CLL 51 242 0 23 Nov 2020
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning Tim Prangemeier C. Wildner André O. Françani Christoph Reich Heinz Koeppl 35 14 0 16 Nov 2020
What is Wrong with Continual Learning in Medical Image Segmentation? Camila González Nick Lemke G. Sakas Anirban Mukhopadhyay CLL 51 30 0 21 Oct 2020
Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation Jue Jiang Harini Veeraraghavan DRL 41 30 0 19 Jul 2020
Dynamic memory to alleviate catastrophic forgetting in continuous learning settings J. Hofmanninger Matthias Perkonigg J. Brink Oleg S. Pianykh Christian Herold Georg Langs OOD MedIm 41 28 0 06 Jul 2020
Importance Driven Continual Learning for Segmentation Across Domains S. Özgün Anne-Marie Rickmann Abhijit Guha Roy Christian Wachinger OOD CLL 38 33 0 30 Apr 2020
Continual Learning for Domain Adaptation in Chest X-ray Classification Matthias Lenga H. Schulz A. Saalbach OOD 61 60 0 16 Jan 2020
Towards continuous learning for glioma segmentation with elastic weight consolidation Karin A. van Garderen S. V. D. Voort Fatih Incekara M. Smits S. Klein CLL 36 20 0 25 Sep 2019
Incremental Learning Techniques for Semantic Segmentation Umberto Michieli Pietro Zanuttigh SSeg CLL VLM 94 235 0 31 Jul 2019
DRIT++: Diverse Image-to-Image Translation via Disentangled Representations Hsin-Ying Lee Hung-Yu Tseng Qi Mao Jia-Bin Huang Yu-Ding Lu Maneesh Kumar Singh Ming-Hsuan Yang DRL 78 781 0 02 May 2019
Disentangled Representation Learning in Cardiac Image Analysis A. Chartsias T. Joyce G. Papanastasiou M. Williams D. Newby R. Dharmakumar Sotirios A. Tsaftaris DRL 107 126 0 22 Mar 2019
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 114 862 0 25 Feb 2019
Latent Filter Scaling for Multimodal Unsupervised Image-to-Image Translation Yazeed Alharbi Neil G. Smith Peter Wonka 57 31 0 24 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 596 10,590 0 12 Dec 2018
Towards continual learning in medical imaging Chaitanya Baweja Ben Glocker Konstantinos Kamnitsas CLL 60 57 0 06 Nov 2018
GANs for Medical Image Analysis Salome Kazeminia Christoph Baur Arjan Kuijper Bram van Ginneken Nassir Navab Shadi Albarqouni Anirban Mukhopadhyay MedIm AI4CE 60 415 0 13 Sep 2018
Multi-Mapping Image-to-Image Translation with Central Biasing Normalization Xiaoming Yu Zhenqiang Ying Thomas Li Shan Liu Ge Li DiffM 50 15 0 26 Jun 2018
Multimodal Unsupervised Image-to-Image Translation Xun Huang Ming-Yuan Liu Serge J. Belongie Jan Kautz 133 2,484 0 12 Apr 2018
Memory Aware Synapses: Learning what (not) to forget Rahaf Aljundi F. Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars KELM CLL 87 1,642 0 27 Nov 2017
Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation Yen-Cheng Liu Yu-Ying Yeh Tzu-Chien Fu Sheng-De Wang Wei-Chen Chiu Y. Wang DRL OOD 74 10 0 03 May 2017
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks Konstantinos Kamnitsas Christian F. Baumgartner C. Ledig Virginia Newcombe Joanna P. Simpson ... David Menon A. Nori A. Criminisi Daniel Rueckert Ben Glocker OOD MedIm 79 478 0 28 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 372 7,547 0 02 Dec 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 159 4,237 0 12 Jun 2016
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013