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Learnable Slice-to-volume Reconstruction for Motion Compensation in Fetal Magnetic Resonance Imaging.

, , and . Bildverarbeitung für die Medizin, page 25-31. Springer, (2023)

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Confidence-Aware and Self-supervised Image Anomaly Localisation., , , , and . UNSURE@MICCAI, volume 14291 of Lecture Notes in Computer Science, page 177-187. Springer, (2023)Adnexal Mass Segmentation with Ultrasound Data Synthesis., , , , , , , and . ASMUS@MICCAI, volume 13565 of Lecture Notes in Computer Science, page 106-116. Springer, (2022)Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability., , , , and . AAAI, page 21037-21045. AAAI Press, (2024)nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods., , , , and . UNSURE@MICCAI, volume 13563 of Lecture Notes in Computer Science, page 103-112. Springer, (2022)Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic Tasks., , , , , and . MICCAI (1), volume 14220 of Lecture Notes in Computer Science, page 162-172. Springer, (2023)Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis., , , , , and . DEMI@MICCAI, volume 14314 of Lecture Notes in Computer Science, page 11-20. Springer, (2023)Resource-Efficient Medical Image Analysis with Self-adapting Forward-Forward Networks., and . MLMI@MICCAI (2), volume 15242 of Lecture Notes in Computer Science, page 180-190. Springer, (2024)Learnable Slice-to-volume Reconstruction for Motion Compensation in Fetal Magnetic Resonance Imaging., , and . Bildverarbeitung für die Medizin, page 25-31. Springer, (2023)Image-Conditioned Diffusion Models for Medical Anomaly Detection., , , , , , and . UNSURE@MICCAI, volume 15167 of Lecture Notes in Computer Science, page 117-127. Springer, (2024)Automatic Segmentation of Lymphatic Perfusion in Patients with Congenital Single Ventricle Defects., , , , , , , and . Bildverarbeitung für die Medizin, page 255-260. Springer, (2024)