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      <title>Generalizing deep learning brain segmentation for skull removal and intracranial measurements</title>
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      <title>Attention-Guided Supervised Contrastive Learning for Semantic Segmentation</title>
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      <title>Body Part Regression With Self-Supervision</title>
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      <title>Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective</title>
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      <title>Phase identification for dynamic CT enhancements with generative adversarial network</title>
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      <title>Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging</title>
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      <title>Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior</title>
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      <title>Semantic-Aware Contrastive Learning for Multi-object Medical Image Segmentation</title>
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      <title>Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT</title>
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      <title>A fully automated pipeline for brain structure segmentation in multiple sclerosis</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>Internal-transfer weighting of multi-task learning for lung cancer detection</title>
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      <title>Learning from dispersed manual annotations with an optimized data weighting policy</title>
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      <title>Multiatlas segmentation</title>
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      <title>Outlier guided optimization of abdominal segmentation</title>
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      <title>Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records</title>
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      <title>Semi-supervised Machine Learning with MixMatch and Equivalence Classes</title>
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      <title>Semi-supervised multi-organ segmentation through quality assurance supervision</title>
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      <title>The Value of Nullspace Tuning Using Partial Label Information</title>
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      <pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate>
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      <title>Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives</title>
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      <title>Validation and optimization of multi-organ segmentation on clinical imaging archives</title>
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      <pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate>
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      <title>3D whole brain segmentation using spatially localized atlas network tiles</title>
      <link>https://hrlblab.github.io/publication/huo-20193-d/</link>
      <pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
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      <title>An end to end automated pipeline for brain structure segmentation in multiple sclerosis patients</title>
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      <pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
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      <title>Anatomical context improves deep learning on the brain age estimation task</title>
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      <title>Cortical surface parcellation using spherical convolutional neural networks</title>
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      <pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
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      <title>Fully automatic liver attenuation estimation combing CNN segmentation and morphological operations</title>
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      <title>Improving human cortical sulcal curve labeling in large scale cross-sectional MRI using deep neural networks</title>
      <link>https://hrlblab.github.io/publication/parvathaneni-2019-improving/</link>
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      <title>On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows</title>
      <link>https://hrlblab.github.io/publication/gainaru-2019-fly/</link>
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      <title>Adversarial synthesis learning enables segmentation without target modality ground truth</title>
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      <title>Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks</title>
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      <title>Synseg-net: Synthetic segmentation without target modality ground truth</title>
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      <title>Simultaneous total intracranial volume and posterior fossa volume estimation using multi-atlas label fusion</title>
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      <title>Consistent cortical reconstruction and multi-atlas brain segmentation</title>
      <link>https://hrlblab.github.io/publication/huo-2016-consistent/</link>
      <pubDate>Fri, 01 Jan 2016 00:00:00 +0000</pubDate>
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      <title>Multi-atlas learner fusion: An efficient segmentation approach for large-scale data</title>
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      <pubDate>Thu, 01 Jan 2015 00:00:00 +0000</pubDate>
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