Conference Proceedings

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Adam P. Harrison

Conference Proceedings

User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation

Reliable Liver Fibrosis Assessment from Ultrasound using Global Hetero-Image Fusion and View-Specific Parameterization

Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search

Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network

Learning to Segment Anatomical Structures Accurately from One Exemplar

JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans

Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression

Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation

Anatomy-aware Siamese network: exploiting semantic asymmetry for accurate pelvic fracture detection in x-ray images

AUTOMATIC HEPATOCELLULAR CARCINOMA DETECTION IN NON-CONTRAST AND VENOUS COMPUTED TOMOGRAPHY OF CIRRHOTIC PATIENTS-A THREE DIMENSIONAL DEEP LEARNING BASED APPROACH

Weakly Supervised Universal Fracture Detection in Pelvic X-Rays

Deep hierarchical multi-label classification of chest X-ray images

Deep Esophageal Clinical Target Volume Delineation Using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk

Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT Using Two-Stream Chained 3D Deep Network Fusion

White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections

Semi-automatic recist labeling on ct scans with cascaded convolutional neural networks

Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays

Deep lesion graphs in the wild: relationship learning and organization of significant radiology image findings in a diverse large-scale lesion database

Ct-realistic lung nodule simulation from 3d conditional generative adversarial networks for robust lung segmentation

CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement

Attention-guided curriculum learning for weakly supervised classification and localization of thoracic diseases on chest radiographs

Accurate weakly-supervised deep lesion segmentation using large-scale clinical annotations: Slice-propagated 3d mask generation from 2d recist

Progressive and multi-path holistically nested neural networks for pathological lung segmentation from CT images

3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels

Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection

Depth-map and albedo estimation with superior information-theoretic performance

IntellEditS: intelligent learning-based editor of segmentations

HUMAN-BASED COMPUTATION FOR MICROFOSSIL IDENTIFICATION