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Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks., , , , , , , , and . IEEE Trans. Medical Imaging, 35 (5): 1182-1195 (2016)ψ-Net: Stacking Densely Convolutional LSTMs for Sub-Cortical Brain Structure Segmentation., , , , , and . IEEE Trans. Medical Imaging, 39 (9): 2806-2817 (2020)An Encoder-Decoder Neural Network With 3D Squeeze-and-Excitation and Deep Supervision for Brain Tumor Segmentation., , , and . IEEE Access, (2020)Navigation and Illumination Control for Image-Based VR., , and . Int. J. Virtual Real., 4 (3): 33-47 (2000)A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin Picking., , , , , , , , , and . IEEE Robotics Autom. Lett., 7 (2): 3961-3968 (2022)SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection., , , , , , and . IEEE Trans. Intell. Transp. Syst., 20 (3): 1010-1019 (2019)MMTLNet: Multi-Modality Transfer Learning Network with adversarial training for 3D whole heart segmentation., , , , , and . Comput. Medical Imaging Graph., (2020)3D deeply supervised network for automated segmentation of volumetric medical images., , , , , , and . Medical Image Anal., (2017)REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs., , , , , , , , , and 9 other author(s). Medical Image Anal., (2020)3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images., , , , , , , , , and . Medical Image Anal., (2018)