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Revealing Hidden Potentials of q-Space Imaging in Breast Cancer., , , , , , , , , and 3 other author(s). CoRR, (2017)Domain Adaptation for Deviating Acquisition Protocols in CNN-based Lesion Classification on Diffusion-Weighted MR Images., , , , , , , , , and 1 other author(s). CoRR, (2018)Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection., , , , , , and . CoRR, (2018)Revealing Hidden Potentials of the q-Space Signal in Breast Cancer., , , , , , , , , and 3 other author(s). MICCAI (1), volume 10433 of Lecture Notes in Computer Science, page 664-671. Springer, (2017)Abstract: Revealing Hidden Potentials of the q-Space Signal in Breast Cancer., , , , , , , , , and 3 other author(s). Bildverarbeitung für die Medizin, page 73. Springer Vieweg, (2018)Domain Adaptation for Deviating Acquisition Protocols in CNN-Based Lesion Classification on Diffusion-Weighted MR Images., , , , , , , , , and 1 other author(s). RAMBO+BIA+TIA@MICCAI, volume 11040 of Lecture Notes in Computer Science, page 73-80. Springer, (2018)