Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I
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Those one-sided methods seldom provide strong verification of the unlearning process's effectiveness.
“Those one-sided methods seldom provide strong verification of the unlearning process's effectiveness [44, 109, 110].”
From Machine Unlearning: A Survey (2024) · cites this paper as [109]
Cites
Have You Forgotten? A Method to Assess if Machine Learning Models Have Forgotten Data
Liu, X., & Tsaftaris, S. A. (2020) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-59710-8_10 · Cited by 18 · see citing works
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Wagner, S. J., Reisenbüchler, D., West, N. P., Niehues, J. M., Zhu, J., Foersch, S., Veldhuizen, G. P., Quirke, P., Grabsch, H. I., van den Brandt, P. A., et al. (2023) · Cancer Cell · doi:10.1016/j.ccell.2023.08.002 · Cited by 275 · see citing works
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2020
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W4285751350
- Cited by
- 156
- References
- 1
- Citations by year
- 2026: 3 · 2025: 55 · 2024: 45 · 2023: 38 · 2022: 14 · 2021: 1
- FWCI
- 4.09
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
- Keywords
- medical image computing, computer-based intervention, machine learning, image reconstruction, domain adaptation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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