Ke Yan, Jinzheng Cai, Adam P Harrison, Dakai Jin, Jing Xiao, Le Lu, "Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets." arXiv preprint arXiv:2005.13753, 2020.
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Jinzheng Cai, Adam P Harrison, Youjing Zheng, Ke Yan, Yuankai Huo, Jing Xiao, Lin Yang, Le Lu, "Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale." arXiv preprint arXiv:2001.07776, 2020.
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Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P Harrison, Dakai Jin, You-Bao Tang, Yu-Xing Tang, Lingyun Huang, Jing Xiao, Le Lu, "Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT." arXiv preprint arXiv:2009.02577, 2020.
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Yuankai Huo, Jinzheng Cai, Chi-Tung Cheng, Ashwin Raju, Ke Yan, Bennett A Landman, Jing Xiao, Le Lu, Chien-Hung Liao, Adam Harrison, "Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning." arXiv preprint arXiv:2006.15691, 2020.
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Zhuotun Zhu, Ke Yan, Dakai Jin, Jinzheng Cai, Tsung-Ying Ho, Adam P Harrison, Dazhou Guo, Chun-Hung Chao, Xianghua Ye, Jing Xiao, Le Lu, "Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification." arXiv preprint arXiv:2005.13705, 2020.
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Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P Harrison, Jing Xiao, Chen-kan Tseng, Le Lu, "DeepTarget: Gross Tumor and Clinical Target Volume Segmentation in Esophageal Cancer Radiotherapy." Medical Image Analysis, 2020.
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Haomin Chen, Shun Miao, Daguang Xu, Gregory D Hager, Adam P Harrison, "Deep hiearchical multi-label classification applied to chest X-ray abnormality taxonomies." Medical image analysis, 2020.
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Holger R Roth, Le Lu, Nathan Lay, Adam P Harrison, Amal Farag, Andrew Sohn, Ronald M Summers, "Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation." Medical image analysis, 2018.
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Nathan Lay, Adam P Harrison, Sharon Schreiber, Gitesh Dawer, Adrian Barbu, "Random Hinge Forest for Differentiable Learning." arXiv preprint arXiv:1802.03882, 2018.
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Adam P Harrison, Dileepan Joseph, "High Performance Rearrangement and Multiplication Routines for Sparse Tensor Arithmetic." SIAM Journal on Scientific Computing, 2018.
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Le Lu, Adam P Harrison, "Deep Medical Image Computing in Preventive and Precision Medicine." IEEE MultiMedia, 2018.
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Jinzheng Cai, Youbao Tang, Le Lu, Adam P Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M Summers, "Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST." arXiv preprint arXiv:1801.08614, 2018.
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Mingchen Gao, Ziyue Xu, Le Lu, Adam P Harrison, Ronald M Summers, Daniel J Mollura, "Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling." arXiv preprint arXiv:1701.05616, 2017.
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Adam P Harrison, Ziyue Xu, Amir Pourmorteza, David A Bluemke, Daniel J Mollura, "A multichannel block-matching denoising algorithm for spectral photon-counting CT images." Medical physics, 2017.
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Adam P Harrison, Dileepan Joseph, "Numeric tensor framework: Exploiting and extending Einstein notation." Journal of Computational Science, 2016.
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Adam P Harrison, Dileepan Joseph, "Translational photometric alignment of single-view image sequences." Computer Vision and Image Understanding, 2012.
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Adam P Harrison, Cindy M Wong, Dileepan Joseph, "Virtual reflected-light microscopy." Journal of Microscopy, 2011.
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Adam P Harrison, Dileepan Joseph, "Maximum likelihood estimation of depth maps using photometric stereo." IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011.
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Kamal Ranaweera, Adam P Harrison, Santo Bains, Dileepan Joseph, "Feasibility of computer-aided identification of foraminiferal tests." Marine Micropaleontology, 2009.
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Ann B Cranney, Adam Harrison, Lucia Ruhland, Chantal Vaidyanath, Ian Graham, Malcolm Man-Son-Hing, James Jaffey, Tanveer E Towheed, Tassos P Anastassiades, Isaac I Dwosh, "Driving problems in patients with rheumatoid arthritis.." The Journal of Rheumatology, 2005.
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