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Blog Post number 4
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Blog Post number 3
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Blog Post number 1
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portfolio
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proceedings
HUMAN-BASED COMPUTATION FOR MICROFOSSIL IDENTIFICATION
Cindy M WONG, Adam P HARRISON, Kamal RANAWEERA, Dileepan JOSEPH, "HUMAN-BASED COMPUTATION FOR MICROFOSSIL IDENTIFICATION." In the proceedings of 2012 GSA Annual Meeting in Charlotte, 2012.
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IntellEditS: intelligent learning-based editor of segmentations
Adam P Harrison, Neil Birkbeck, Michal Sofka, "IntellEditS: intelligent learning-based editor of segmentations." In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2013.
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Depth-map and albedo estimation with superior information-theoretic performance
Adam P Harrison, Dileepan Joseph, "Depth-map and albedo estimation with superior information-theoretic performance." In the proceedings of Image Processing: Machine Vision Applications VIII, 2015.
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Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection
Mingchen Gao, Ziyue Xu, Le Lu, Adam P Harrison, Ronald M Summers, Daniel J Mollura, "Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection." In the proceedings of International Workshop on Machine Learning in Medical Imaging, 2016.
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3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels
Dakai Jin, Ziyue Xu, Adam P Harrison, Kevin George, Daniel J Mollura, "3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels." In the proceedings of International Workshop on Machine Learning in Medical Imaging, 2017.
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Progressive and multi-path holistically nested neural networks for pathological lung segmentation from CT images
Adam P Harrison, Ziyue Xu, Kevin George, Le Lu, Ronald M Summers, Daniel J Mollura, "Progressive and multi-path holistically nested neural networks for pathological lung segmentation from CT images." In the proceedings of International conference on medical image computing and computer-assisted intervention, 2017.
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Accurate weakly-supervised deep lesion segmentation using large-scale clinical annotations: Slice-propagated 3d mask generation from 2d recist
Jinzheng Cai, Youbao Tang, Le Lu, Adam P Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M Summers, "Accurate weakly-supervised deep lesion segmentation using large-scale clinical annotations: Slice-propagated 3d mask generation from 2d recist." In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2018.
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Attention-guided curriculum learning for weakly supervised classification and localization of thoracic diseases on chest radiographs
Yuxing Tang, Xiaosong Wang, Adam P Harrison, Le Lu, Jing Xiao, Ronald M Summers, "Attention-guided curriculum learning for weakly supervised classification and localization of thoracic diseases on chest radiographs." In the proceedings of International Workshop on Machine Learning in Medical Imaging, 2018.
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CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement
Youbao Tang, Jinzheng Cai, Le Lu, Adam P Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M Summers, "CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement." In the proceedings of International Workshop on Machine Learning in Medical Imaging, 2018.
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Ct-realistic lung nodule simulation from 3d conditional generative adversarial networks for robust lung segmentation
Dakai Jin, Ziyue Xu, Youbao Tang, Adam P Harrison, Daniel J Mollura, "Ct-realistic lung nodule simulation from 3d conditional generative adversarial networks for robust lung segmentation." In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2018.
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Deep lesion graphs in the wild: relationship learning and organization of significant radiology image findings in a diverse large-scale lesion database
Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P Harrison, Mohammadhadi Bagheri, Ronald M Summers, "Deep lesion graphs in the wild: relationship learning and organization of significant radiology image findings in a diverse large-scale lesion database." In the proceedings of Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018.
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Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays
Jinzheng Cai, Le Lu, Adam P Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang, "Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays." In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2018.
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Semi-automatic recist labeling on ct scans with cascaded convolutional neural networks
Youbao Tang, Adam P Harrison, Mohammadhadi Bagheri, Jing Xiao, Ronald M Summers, "Semi-automatic recist labeling on ct scans with cascaded convolutional neural networks." In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2018.
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White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections
Dakai Jin, Ziyue Xu, Adam P Harrison, Daniel J Mollura, "White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections." In the proceedings of 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018.
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Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT Using Two-Stream Chained 3D Deep Network Fusion
Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P Harrison, Jing Xiao, Chen-kan Tseng, Le Lu, "Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT Using Two-Stream Chained 3D Deep Network Fusion." In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2019.
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Deep Esophageal Clinical Target Volume Delineation Using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk
Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P Harrison, Jing Xiao, Chen-kan Tseng, Le Lu, "Deep Esophageal Clinical Target Volume Delineation Using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk." In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2019.
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Deep hierarchical multi-label classification of chest X-ray images
Haomin Chen, Shun Miao, Daguang Xu, Gregory D Hager, Adam P Harrison, "Deep hierarchical multi-label classification of chest X-ray images." In the proceedings of International Conference on Medical Imaging with Deep Learning, 2019.
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Weakly Supervised Universal Fracture Detection in Pelvic X-Rays
Yirui Wang, Le Lu, Chi-Tung Cheng, Dakai Jin, Adam P Harrison, Jing Xiao, Chien-Hung Liao, Shun Miao, "Weakly Supervised Universal Fracture Detection in Pelvic X-Rays." In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2019.
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AUTOMATIC HEPATOCELLULAR CARCINOMA DETECTION IN NON-CONTRAST AND VENOUS COMPUTED TOMOGRAPHY OF CIRRHOTIC PATIENTS-A THREE DIMENSIONAL DEEP LEARNING BASED APPROACH
Wei Teng, Chi-Tung Cheng, Jinzheng Cai, Yu-Chao Wang, Le Lu, Chun-Nan Yeh, Chun-Yen Lin, Wei-Chen Lee, Ta-Sen Yeh, Adam P Harrison, Chien-Hung Liao, "AUTOMATIC HEPATOCELLULAR CARCINOMA DETECTION IN NON-CONTRAST AND VENOUS COMPUTED TOMOGRAPHY OF CIRRHOTIC PATIENTS-A THREE DIMENSIONAL DEEP LEARNING BASED APPROACH." In the proceedings of HEPATOLOGY, 2020.
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Anatomy-aware Siamese network: exploiting semantic asymmetry for accurate pelvic fracture detection in x-ray images
Haomin Chen, Yirui Wang, Kang Zheng, Weijian Li, Chi-Tung Chang, Adam P Harrison, Jing Xiao, Gregory D Hager, Le Lu, Chien-Hung Liao, Shun Miao, "Anatomy-aware Siamese network: exploiting semantic asymmetry for accurate pelvic fracture detection in x-ray images." In the proceedings of European Conference on Computer Vision, 2020.
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Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation
Ashwin Raju, Chi-Tung Cheng, Yunakai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, ChienHuang Liao, Adam P Harrison, "Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation." In the proceedings of European Conference on Computer Vision, 2020.
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Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression
Jinzheng Cai, Ke Yan, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu, Adam P Harrison, "Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression." In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020.
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JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans
Fengze Liu, Jingzheng Cai, Yuankai Huo, Le Lu, Adam P Harrison, "JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans." In the proceedings of European Conference on Computer Vision, 2020.
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Learning to Segment Anatomical Structures Accurately from One Exemplar
Yuhang Lu, Weijian Li, Kang Zheng, Yirui Wang, Adam P Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao, "Learning to Segment Anatomical Structures Accurately from One Exemplar." In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020.
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Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network
Chun-Hung Chao, Zhuotun Zhu, Dazhou Guo, Ke Yan, Tsung-Ying Ho, Jinzheng Cai, Adam P Harrison, Xianghua Ye, Jing Xiao, Alan Yuille, Min Sun, Le Lu, Dakai Jin, "Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network." In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020.
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Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search
Dazhou Guo, Dakai Jin, Zhuotun Zhu, Tsung-Ying Ho, Adam P Harrison, Chun-Hung Chao, Jing Xiao, Le Lu, "Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search." In the proceedings of Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020.
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Reliable Liver Fibrosis Assessment from Ultrasound using Global Hetero-Image Fusion and View-Specific Parameterization
Bowen Li, Ke Yan, Dar-In Tai, Yuankai Huo, Le Lu, Jing Xiao, Adam P Harrison, "Reliable Liver Fibrosis Assessment from Ultrasound using Global Hetero-Image Fusion and View-Specific Parameterization." In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020.
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User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation
Ashwin Raju, Zhanghexuan Ji, Chi Tung Cheng, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, ChienHung Liao, Adam P Harrison, "User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation." In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020.
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publications
Driving problems in patients with rheumatoid arthritis.
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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Feasibility of computer-aided identification of foraminiferal tests
Kamal Ranaweera, Adam P Harrison, Santo Bains, Dileepan Joseph, "Feasibility of computer-aided identification of foraminiferal tests." Marine Micropaleontology, 2009.
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Maximum likelihood estimation of depth maps using photometric stereo
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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Virtual reflected-light microscopy
Adam P Harrison, Cindy M Wong, Dileepan Joseph, "Virtual reflected-light microscopy." Journal of Microscopy, 2011.
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Translational photometric alignment of single-view image sequences
Adam P Harrison, Dileepan Joseph, "Translational photometric alignment of single-view image sequences." Computer Vision and Image Understanding, 2012.
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Numeric tensor framework: Exploiting and extending Einstein notation
Adam P Harrison, Dileepan Joseph, "Numeric tensor framework: Exploiting and extending Einstein notation." Journal of Computational Science, 2016.
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A multichannel block-matching denoising algorithm for spectral photon-counting CT images
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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Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling
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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Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST
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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Deep Medical Image Computing in Preventive and Precision Medicine
Le Lu, Adam P Harrison, "Deep Medical Image Computing in Preventive and Precision Medicine." IEEE MultiMedia, 2018.
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High Performance Rearrangement and Multiplication Routines for Sparse Tensor Arithmetic
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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Random Hinge Forest for Differentiable Learning
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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Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation
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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Deep hiearchical multi-label classification applied to chest X-ray abnormality taxonomies
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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DeepTarget: Gross Tumor and Clinical Target Volume Segmentation in Esophageal Cancer Radiotherapy
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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Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification
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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Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning
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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Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT
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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Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale
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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Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets
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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talks
Talk 1 on Relevant Topic in Your Field
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
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Teaching experience 2
This is a description of a teaching experience. You can use markdown like any other post.