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Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation., , , , , , and . CoRR, (2018)Deep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging., , , , , , , , , and 3 other author(s). CoRR, (2023)Deep 2D Encoder-Decoder Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation in Brain MRI., , , and . BrainLes@MICCAI (1), volume 11383 of Lecture Notes in Computer Science, page 132-141. Springer, (2018)Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors., , , , , , , , , and . CoRR, (2022)A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study., , , , , , , and . CoRR, (2023)Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning., , , , , , , , , and 3 other author(s). CoRR, (2022)Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI., , , , , and . CoRR, (2019)Multi-branch convolutional neural network for multiple sclerosis lesion segmentation., , , , , , and . NeuroImage, (2019)Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial., , , , and . IEEE Access, (2022)Deep learning approaches for segmentation of multiple sclerosis lesions on brain MRI.. University of Genoa, Italy, (2020)base-search.net (ftunivgenova:oai:iris.unige.it:11567/997626).