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09/14/2023
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement
Despite the remarkable success of deep learning systems over the last de...
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07/14/2023
cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations
Classification of heterogeneous diseases is challenging due to their com...
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07/05/2023
Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency
Independently trained machine learning models tend to learn similar feat...
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06/27/2023
Taming Detection Transformers for Medical Object Detection
The accurate detection of suspicious regions in medical images is an err...
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04/10/2023
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model
Foundation models have taken over natural language processing and image ...
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03/25/2023
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
The medical imaging community generates a wealth of datasets, many of wh...
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08/23/2022
Extending nnU-Net is all you need
Semantic segmentation is one of the most popular research areas in medic...
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03/22/2021