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Dennis N. Schneider, Lars Wagner, and Dirk Wilhelm are with the Technical University of Munich, TUM School of Medicine and Health, TUM University Hospital rechts der Isar, Department of Surgery, Research Group MITI, Munich, GermanyDaniel Rueckert is with the Technical University of Munich, TUM School of Medicine and Health, TUM University Hospital rechts der Isar, Chair for AI in Healthcare and Medicine Munich, Munich, Germany and with the Department of Computing, Imperial College London, London, UK
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Forget reconstructing images: this method directly extracts clinically relevant information from undersampled k-space MRI data, matching state-of-the-art image-based analysis.
Multi-view Echo data can be used to train ECG encoders that are 18x smaller yet outperform larger models at predicting cardiac morphology.
Ditch the patches: Implicit Neural Representations can now segment highly variable pathological lesions in whole-slide images, even outperforming standard methods at lower resolutions.
Attachment anchors, a novel representation of tissue-attachment relationships, significantly boost grasping point prediction in colorectal surgery, particularly when generalizing to new surgical scenarios and surgeons.
VariViT lets you train vision transformers on variable-sized images without resizing, boosting accuracy on medical imaging tasks by better preserving irregularly shaped structures.
