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      <title>Deep Learning for Fully Automated Prediction of Overall Survival in Patients with Oropharyngeal Cancer Using FDG-PET Imaging</title>
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      <title>Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach</title>
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      <title>Co-heterogeneous and adaptive segmentation from multi-source and multi-phase CT imaging data: A study on pathological liver and lesion segmentation</title>
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      <title>Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach</title>
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      <title>Harvesting, detecting, and characterizing liver lesions from large-scale multi-phase CT data via deep dynamic texture learning</title>
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      <title>Jssr: A joint synthesis, segmentation, and registration system for 3d multi-modal image alignment of large-scale pathological ct scans</title>
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      <title>Lesion-harvester: Iteratively mining unlabeled lesions and hard-negative examples at scale</title>
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      <pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate>
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