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Deep learning empowers the mainstream medical image segmentation methods.
Lifelong learning algorithms
Sebastian Thrun · 1998
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An empirical investigation of catastrophic forgetting in gradient-based neural networks
Ian J Goodfellow, Mehdi Mirza, Da Xiao, Aaron Courville, and Yoshua Bengio · 2014
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The pascal visual object classes challenge: A retrospective
Mark Everingham, SM Eslami, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2015
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Improving computer-aided detection using convolutional neural networks and random view aggregation
Holger R Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin Cherry, Lauren Kim, and Ronald M Summers · 2015
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Quantitative dual-energy computed tomography supports a vascular etiology of smoking-induced inflammatory lung disease
Krishna S Iyer, John D Newell Jr, Dakai Jin, Matthew K Fuld, Punam K Saha, Sif Hansdottir, and Eric A Hoffman · 2016
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Andrei A Rusu, Neil C Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, and Raia Hadsell · 2016
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Overcoming catastrophic forgetting in neural networks
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, et al · 2017
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Learning without forgetting
Zhizhong Li and Derek Hoiem · 2017
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Gradient episodic memory for continual learning
David Lopez-Paz and Marc’Aurelio Ranzato · 2017
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icarl: Incremental classifier and representation learning
Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl, and Christoph H Lampert · 2017
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Continual learning with deep generative replay
Hanul Shin, Jung Kwon Lee, Jaehong Kim, and Jiwon Kim · 2017
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Growing a brain: Fine-tuning by increasing model capacity
Yu-Xiong Wang, Deva Ramanan, and Martial Hebert · 2017
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Lifelong learning with dynamically expandable networks
Jaehong Yoon, Eunho Yang, Jeongtae Lee, and Sung Ju Hwang · 2017
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Continual learning through synaptic intelligence
Friedemann Zenke, Ben Poole, and Surya Ganguli · 2017
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Scene parsing through ade20k dataset
Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, and Antonio Torralba · 2017
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Memory aware synapses: Learning what (not) to forget
Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, and Tinne Tuytelaars · 2018
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End-to-end incremental learning
Francisco M Castro, Manuel J Marín-Jiménez, Nicolás Guil, Cordelia Schmid, and Karteek Alahari · 2018
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Riemannian walk for incremental learning: Understanding forgetting and intransigence
Arslan Chaudhry, Puneet K Dokania, Thalaiyasingam Ajanthan, and Philip HS Torr · 2018
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Efficient lifelong learning with a-gem
Arslan Chaudhry, Marc’Aurelio Ranzato, Marcus Rohrbach, and Mohamed Elhoseiny · 2018
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Measuring catastrophic forgetting in neural networks
Ronald Kemker, Marc McClure, Angelina Abitino, Tyler Hayes, and Christopher Kanan · 2018
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Packnet: Adding multiple tasks to a single network by iterative pruning
Arun Mallya and Svetlana Lazebnik · 2018
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Learn the new, keep the old: Extending pretrained models with new anatomy and images
Firat Ozdemir, Philipp Fuernstahl, and Orcun Goksel · 2018
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Progress & compress: A scalable framework for continual learning
Jonathan Schwarz, Wojciech Czarnecki, Jelena Luketina, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, and Raia Hadsell · 2018
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Overcoming catastrophic forgetting with hard attention to the task
Joan Serra, Didac Suris, Marius Miron, and Alexandros Karatzoglou · 2018
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Unsupervised body part regression via spatially self-ordering convolutional neural networks
Ke Yan, Le Lu, and Ronald M. Summers · 2018
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Deeplesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning
Ke Yan, Xiaosong Wang, Le Lu, and Ronald M Summers · 2018
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On tiny episodic memories in continual learning
Arslan Chaudhry, Marcus Rohrbach, Mohamed Elhoseiny, Thalaiyasingam Ajanthan, Puneet K Dokania, Philip HS Torr, and Marc’Aurelio Ranzato · 2019
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Learning without memorizing
Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng, Ziyan Wu, and Rama Chellappa · 2019
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Lymphocyte-driven regional immunopathology in pneumonitis caused by impaired central immune tolerance
Elise MN Ferré, Timothy J Break, Peter D Burbelo, Michael Allgäuer, David E Kleiner, Dakai Jin, Ziyue Xu, Les R Folio, Daniel J Mollura, Muthulekha Swamydas, et al · 2019
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Continual learning via neural pruning
Siavash Golkar, Michael Kagan, and Kyunghyun Cho · 2019
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Learning a unified classifier incrementally via rebalancing
Saihui Hou, Xinyu Pan, Chen Change Loy, Zilei Wang, and Dahua Lin · 2019
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Compacting, picking and growing for unforgetting continual learning
Plop: Learning without forgetting for continual semantic segmentation
Arthur Douillard, Yifu Chen, Arnaud Dapogny, and Matthieu Cord · 2021
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Deepstationing: thoracic lymph node station parsing in ct scans using anatomical context encoding and key organ auto-search
Dazhou Guo, Xianghua Ye, Jia Ge, Xing Di, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Zhongjie Lu, Ling Peng, et al · 2021
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nnu-net: a self-configuring method for deep learning-based biomedical image segmentation
Fabian Isensee, Paul F Jaeger, Simon AA Kohl, Jens Petersen, and Klaus H Maier-Hein · 2021
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Deeptarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy
Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P Harrison, Jing Xiao, Chen-Kan Tseng, and Le Lu · 2021
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Bayesian structural adaptation for continual learning
Abhishek Kumar, Sunabha Chatterjee, and Piyush Rai · 2021
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Ching-Yi Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen · 2019
Cited alongside, same era.
Scribble-based hierarchical weakly supervised learning for brain tumor segmentation
Zhanghexuan Ji, Yan Shen, Chunwei Ma, and Mingchen Gao · 2019
Cited alongside, same era.
Accurate esophageal gross tumor volume segmentation in pet/ct using two-stream chained 3d deep network fusion
Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P Harrison, Jing Xiao, Chen-Kan Tseng, and Le Lu · 2019
Cited alongside, same era.
Learn to grow: A continual structure learning framework for overcoming catastrophic forgetting
Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, and Caiming Xiong · 2019
Cited alongside, same era.
Incremental learning techniques for semantic segmentation
Umberto Michieli and Pietro Zanuttigh · 2019
Cited alongside, same era.
Learning to remember: A synaptic plasticity driven framework for continual learning
Oleksiy Ostapenko, Mihai Puscas, Tassilo Klein, Patrick Jahnichen, and Moin Nabi · 2019
Cited alongside, same era.
Clinically applicable deep learning framework for organs at risk delineation in ct images
Hao Tang, Xuming Chen, Yang Liu, Zhipeng Lu, Junhua You, Mingzhou Yang, Shengyu Yao, Guoqi Zhao, Yi Xu, Tingfeng Chen, et al · 2019
Cited alongside, same era.
Rmm: Reinforced memory management for class-incremental learning
Yaoyao Liu, Bernt Schiele, and Qianru Sun · 2021
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Continual semantic segmentation via repulsion-attraction of sparse and disentangled latent representations
Umberto Michieli and Pietro Zanuttigh · 2021
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Iterative confidence relabeling with deep convnets for organ segmentation with partial labels
Olivier Petit, Nicolas Thome, and Luc Soler · 2021
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Marginal loss and exclusion loss for partially supervised multi-organ segmentation
Gonglei Shi, Li Xiao, Yang Chen, and S Kevin Zhou · 2021
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Dodnet: Learning to segment multi-organ and tumors from multiple partially labeled datasets
Jianpeng Zhang, Yutong Xie, Yong Xia, and Chunhua Shen · 2021
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Prototype augmentation and self-supervision for incremental learning
Fei Zhu, Xu-Yao Zhang, Chuang Wang, Fei Yin, and Cheng-Lin Liu · 2021
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The medical segmentation decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M Summers, et al · 2022
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Towards automated organs at risk and target volumes contouring: Defining precision radiation therapy in the modern era
Dakai Jin, Dazhou Guo, Jia Ge, Xianghua Ye, and Le Lu · 2022
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Learning incrementally to segment multiple organs in a CT image
Pengbo Liu, Xia Wang, Mengsi Fan, Hongli Pan, Minmin Yin, Xiaohong Zhu, et al · 2022
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Progressive voronoi diagram subdivision enables accurate data-free class-incremental learning
Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, and Jinhui Xu · 2022
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Class similarity weighted knowledge distillation for continual semantic segmentation
Minh Hieu Phan, Son Lam Phung, Long Tran-Thanh, Abdesselam Bouzerdoum, et al · 2022
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Deep learning empowered volume delineation of whole-body organs-at-risk for accelerated radiotherapy
Feng Shi, Weigang Hu, Jiaojiao Wu, Miaofei Han, Jiazhou Wang, Wei Zhang, Qing Zhou, Jingjie Zhou, Ying Wei, Ying Shao, et al · 2022
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Learning to prompt for continual learning
Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer Dy, and Tomas Pfister · 2022
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Totalsegmentator: robust segmentation of 104 anatomical structures in ct images
Jakob Wasserthal, Manfred Meyer, Hanns-Christian Breit, Joshy Cyriac, Shan Yang, and Martin Segeroth · 2022
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Class-incremental learning with strong pre-trained models
Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, and Stefano Soatto · 2022
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Comprehensive and clinically accurate head and neck cancer organs-at-risk delineation on a multi-institutional study
Xianghua Ye, Dazhou Guo, Jia Ge, Senxiang Yan, Yi Xin, Yuchen Song, Yongheng Yan, Bing-shen Huang, et al · 2022
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Representation compensation networks for continual semantic segmentation
Chang-Bin Zhang, Jia-Wen Xiao, Xialei Liu, Ying-Cong Chen, and Ming-Ming Cheng · 2022
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Self-sustaining representation expansion for non-exemplar class-incremental learning
Kai Zhu, Wei Zhai, Yang Cao, Jiebo Luo, and Zheng-Jun Zha · 2022
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Comformer: Continual learning in semantic and panoptic segmentation
Fabio Cermelli, Matthieu Cord, and Arthur Douillard · 2023
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Fedmm: A communication efficient solver for federated adversarial domain adaptation
Yan Shen, Jian Du, Han Zhao, Zhanghexuan Ji, Chunwei Ma, and Mingchen Gao · 2023
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Endpoints weight fusion for class incremental semantic segmentation
Jia-Wen Xiao, Chang-Bin Zhang, Jiekang Feng, Xialei Liu, Joost van de Weijer, and Ming-Ming Cheng · 2023
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