Johan Fredin Haslum
5 papers · 2020–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🐣
Hot Topic Early Bird
🌉
Interdisciplinary Bridge · Silver
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The Questioner
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Research topics
Keywords
domain adaptation
(2)
high content imaging
(2)
transfer learning
(2)
online learning
(1)
image restoration
(1)
self-supervised learning
(1)
medical imaging
(1)
medical image classification
(1)
image denoising
(1)
multi-frame processing
(1)
inductive bia
(1)
foundation model
(1)
pre-trained model
(1)
feature extractor
(1)
image enhancement
(1)
feature reuse
(1)
batch effect correction
(1)
tumor segmentation
(1)
pretrained feature
(1)
burst imaging
(1)
Papers
Are Natural Domain Foundation Models Useful for Medical Image Classification?
WACV 2024
Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation
WACV 2024
Metadata-guided Consistency Learning for High Content Images
MIDL 2023
What Makes Transfer Learning Work for Medical Images: Feature Reuse & Other Factors
CVPR 2022
Adding seemingly uninformative labels helps in low data regimes
ICML 2020