mlsanityData to 7 Oct 2026

Towards continual learning in medical imaging

arXiv 1811.02496 ↗First posted 6 Nov 2018cs.CV cs.LGcited by 24

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Abstract (arXiv)

This work investigates continual learning of two segmentation tasks in brain MRI with neural networks. To explore in this context the capabilities of current methods for countering catastrophic forgetting of the first task when a new one is learned, we investigate elastic weight consolidation, a recently proposed method based on Fisher information, originally evaluated on reinforcement learning of Atari games. We use it to sequentially learn segmentation of normal brain structures and then segmentation of white matter lesions. Our findings show this recent method reduces catastrophic forgetting, while large room for improvement exists in these challenging settings for continual learning.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Nov 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 5; 2022: 7; 2023: 7; 2024: 3; 2025: 1; 2026: 1.

24 papers.

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  1. 2021Online Coreset Selection for Rehearsal-based Continual Learningcited by 114
  2. 2022LifeLonger: A Benchmark for Continual Disease Classificationcited by 28
  3. 2022Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractorcited by 26
  4. 2023ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysiscited by 25
  5. 2023Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospectscited by 22
  6. 2023Rethinking Exemplars for Continual Semantic Segmentation in Endoscopy Scenes: Entropy-based Mini-Batch Pseudo-Replaycited by 20
  7. 2022Domain-incremental Cardiac Image Segmentation with Style-oriented Replay and Domain-sensitive Feature Whiteningcited by 16
  8. 2021Adversarial Continual Learning for Multi-Domain Hippocampal Segmentationcited by 14
  9. 2022Continual Hippocampus Segmentation with Transformerscited by 11
  10. 2024Continual Learning in Medical Imaging: A Survey and Practical Analysiscited by 9
  11. 2023On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Codecited by 7
  12. 2022Continual Learning for Tumor Classification in Histopathology Imagescited by 6
12 more
  1. 2023Operating critical machine learning models in resource constrained regimescited by 6
  2. 2021Continual learning of longitudinal health recordscited by 5
  3. 2021Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guaranteescited by 3
  4. 2022Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?cited by 3
  5. 2024MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learningcited by 3
  6. 2021Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learningcited by 2
  7. 2022Consecutive Knowledge Meta-Adaptation Learning for Unsupervised Medical Diagnosiscited by 1
  8. 2023Continual learning for surface defect segmentation by subnetwork creation and selectioncited by 1
  9. 2023A dynamic interactive learning framework for automated 3D medical image segmentationcited by 1
  10. 2024Selecting the Best Sequential Transfer Path for Medical Image Segmentation with Limited Labeled Datacited by 0
  11. 2025Dual-Alignment Knowledge Retention for Continual Medical Image Segmentationcited by 0
  12. 2026On-Device Continual Learning with Dual-Stage Buffer and Dynamic Loss for Point-of-Care Pneumonia Diagnosiscited by 0