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Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data., , , , and . CoRR, (2022)Combining the use of CNN classification and strength-driven compression for the robust identification of bacterial species on hyperspectral culture plate images., , , , , and . IET Comput. Vis., 12 (7): 941-949 (2018)Deep Tracking for Robust Real-time Object Scanning., , and . STAG, page 111-113. Eurographics Association, (2022)Automatic hemolysis identification on aligned dual-lighting images of cultured blood agar plates., , and . Comput. Methods Programs Biomed., (2018)Deep-learning Alignment for Handheld 3D Acquisitions: A new Densematch Dataset for an Extended Comparison., , and . STAG, page 101-112. Eurographics Association, (2020)Deep Learning Meets Hyperspectral Image Analysis: A Multidisciplinary Review., , , and . J. Imaging, 5 (5): 52 (2019)End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays., , , , , , , , , and 1 other author(s). CoRR, (2020)On the Influence of Shot Scale on Film Mood and Narrative Engagement in Film Viewers., , , , and . IEEE Trans. Affect. Comput., 13 (2): 592-603 (2022)Shot Scale Analysis in Movies by Convolutional Neural Networks., , , and . ICIP, page 2620-2624. IEEE, (2018)BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset., , , , , , , , , and 1 other author(s). Medical Image Anal., (2021)