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Automated volumetric lung segmentation of thoracic CT images using fully convolutional neural network., , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105751J. SPIE, (2018)Universal multi-modal deep network for classification and segmentation of medical images., , , , and . ISBI, page 872-876. IEEE, (2018)Medical sieve: a cognitive assistant for radiologists and cardiologists., , , , , , , , , and 13 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97850A. SPIE, (2016)Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data., , , , , , , and . MICCAI (3), volume 9902 of Lecture Notes in Computer Science, page 238-245. (2016)Regional lung strains via a volumetric mass conserving optical flow model., and . ISBI, page 1475-1478. IEEE, (2012)An End-to-End Deep Learning Pipeline for Emphysema Quantification Using Multi-label Learning., , and . EMBC, page 929-932. IEEE, (2019)Multi-scale optical flow including normalized mutual information for planar deformable lung motion estimation from 4D CT., and . EMBC, page 4888-4892. IEEE, (2011)Automatic extraction of disease-specific features from Doppler images., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101340N. SPIE, (2017)Planar deformable motion estimation incorporating mass conservation and image gradient constancy., and . ISBI, page 536-540. IEEE, (2011)Quantitative Assessment of COVID-19 Lung Disease Severity: A Segmentation-based Approach., , and . EMBC, page 1-4. IEEE, (2023)