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Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.

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Hosen Sulaiman

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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)Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge., , , , , , , , , и 13 other автор(ы). CoRR, (2020)Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning., , , , , , , , , и 37 other автор(ы). CoRR, (2021)ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging., , , , , , , , , и 1 other автор(ы). CoRR, (2023)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)Deep Learning-based Denoising of Mammographic Images using Physics-driven Data Augmentation., , , , и . CoRR, (2019)Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge., , , , , , , , , и 13 other автор(ы). Medical Image Anal., (2022)A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging., , , , , , , , , и 9 other автор(ы). Medical Image Anal., (2021)Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation., , , , и . CoRR, (2021)Classification of Breast Cancer Histology Images Using Transfer Learning., , , , и . ICIAR, том 10882 из Lecture Notes in Computer Science, стр. 812-819. Springer, (2018)