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Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images., , , , и . CoRR, (2021)Mammographic breast density classification using a deep neural network: assessment on the basis of inter-observer variability., , , , , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 10952 из SPIE Proceedings, стр. 109520O. SPIE, (2019)Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI., , , , , , , и . SASHIMI@MICCAI, том 14288 из Lecture Notes in Computer Science, стр. 32-41. Springer, (2023)Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale., , , , , , , , и . Medical Image Anal., (2022)Generalised coherent point drift for group-wise multi-dimensional analysis of diffusion brain MRI data., , , , и . Medical Image Anal., (2019)Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image Segmentation., , , , и . IEEE Trans. Medical Imaging, 40 (7): 1838-1851 (2021)Robust group-wise rigid registration of point sets using t-mixture model., , , и . Medical Imaging: Image Processing, том 9784 из SPIE Proceedings, стр. 97840S. SPIE, (2016)Agent with Tangent-Based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound., , , , , , , , , и 2 other автор(ы). MICCAI (4), том 13434 из Lecture Notes in Computer Science, стр. 300-309. Springer, (2022)Semi-Automatic Cell Correspondence Analysis Using Iterative Point Cloud Registration., , , , , , , , , и . Bildverarbeitung für die Medizin, стр. 116-121. Springer Vieweg, (2019)Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation., , , и . CVPR Workshops, стр. 2897-2904. IEEE, (2022)