mlsanityData to 7 Oct 2026

Task-agnostic Continual Hippocampus Segmentation for Smooth Population Shifts

arXiv 2208.03206 ↗First posted 5 Aug 2022cs.CV cs.CY cs.LGcited by 6

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Abstract (arXiv)

Most continual learning methods are validated in settings where task boundaries are clearly defined and task identity information is available during training and testing. We explore how such methods perform in a task-agnostic setting that more closely resembles dynamic clinical environments with gradual population shifts. We propose ODEx, a holistic solution that combines out-of-distribution detection with continual learning techniques. Validation on two scenarios of hippocampus segmentation shows that our proposed method reliably maintains performance on earlier tasks without losing plasticity.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 18 of its 31 references that are in the map. First posted on arXiv 5 Aug 2022.

Builds on

18 of 31 references.

References · 18

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  3. 2018Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigencecited by 734
  4. 2019Gradient based sample selection for online continual learningcited by 568
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  12. 2018A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocolscited by 49
6 more
  1. 2020Importance Driven Continual Learning for Segmentation Across Domainscited by 21
  2. 2020Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replaycited by 19
  3. 2021Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentationcited by 19
  4. 2021Adversarial Continual Learning for Multi-Domain Hippocampal Segmentationcited by 14
  5. 2021How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation?cited by 10
  6. 2021Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisitioncited by 9

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Cited by year

Citing papers per year: 2023: 2; 2024: 4.

6 papers.

  1. 2023Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospectscited by 22
  2. 2024BiasPruner: Debiased Continual Learning for Medical Image Classificationcited by 12
  3. 2024Continual Learning in Medical Imaging: A Survey and Practical Analysiscited by 9
  4. 2023Continual atlas-based segmentation of prostate MRIcited by 5
  5. 2024Distribution-Aware Replay for Continual MRI Segmentationcited by 3
  6. 2024NCAdapt: Dynamic adaptation with domain-specific Neural Cellular Automata for continual hippocampus segmentationcited by 2