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Deep Geodesic Learning for Segmentation and Anatomical Landmarking., , , , , and . IEEE Trans. Med. Imaging, 38 (4): 919-931 (2019)Semi-Supervised Multi-Task Learning for Lung Cancer Diagnosis., and . EMBC, page 710-713. IEEE, (2018)Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning., , , and . IPMI, volume 10265 of Lecture Notes in Computer Science, page 249-260. Springer, (2017)Deep Geodesic Learning for Segmentation and Anatomical Landmarking., , , , , and . CoRR, (2018)Supervised and Unsupervised Tumor Characterization in the Deep Learning Era., , , , , and . CoRR, (2018)Relational Reasoning Network (RRN) for Anatomical Landmarking., , , , , , , and . CoRR, (2019)Instance-Level Microtubule Tracking., , , , and . IEEE Trans. Medical Imaging, 39 (6): 2061-2075 (2020)Multi-Planar Deep Segmentation Networks for Cardiac Substructures from MRI and CT., , and . STACOM@MICCAI, volume 10663 of Lecture Notes in Computer Science, page 199-206. Springer, (2017)Computer-assisted detection of infectious lung diseases: A review., , , , and . Comput. Medical Imaging Graph., 36 (1): 72-84 (2012)A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning., , , , , and . Medical Image Anal., (2019)