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3DTeethSeg'22: 3D Teeth Scan Segmentation and Labeling Challenge., , , , , , , , , and 22 other author(s). CoRR, (2023)Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report., , , , , , , , , and 49 other author(s). Medical Image Anal., (2024)Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks., , , , , and . ICML, OpenReview.net, (2024)Segmentation of Organs-At-Risk from Ct and Mr Images of the Head and Neck: Baseline Results., , , , and . ISBI, page 1-4. IEEE, (2022)Semi-supervised Medical Image Classification with Temporal Knowledge-Aware Regularization., , , , and . MICCAI (8), volume 13438 of Lecture Notes in Computer Science, page 119-129. Springer, (2022)Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation., , , , and . IEEE J. Biomed. Health Informatics, 25 (10): 3886-3897 (2021)Physics-based loss and machine learning approach in application to non-Newtonian fluids flow modeling., , , , and . CEC, page 1-8. IEEE, (2022)Minimal Variance Sampling in Stochastic Gradient Boosting., and . NeurIPS, page 15061-15071. (2019)Benefits of auxiliary information in deep learning-based teeth segmentation., , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Uplift Modelling via Gradient Boosting., and . KDD, page 1177-1187. ACM, (2024)