Translational photometric alignment of single-view image sequences. - Adam P. Harrison; Dileepan Joseph (Comput. Vis. Image Underst., 2012)

Maximum Likelihood Estimation of Depth Maps Using Photometric Stereo. - Adam P. Harrison; Dileepan Joseph (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

IntellEditS: Intelligent Learning-Based Editor of Segmentations. - Adam P. Harrison; Neil Birkbeck; Michal Sofka (MICCAI (3), 2013)

Depth-map and albedo estimation with superior information-theoretic performance. - Adam P. Harrison; Dileepan Joseph (Image Processing: Machine Vision Applications, 2015)

Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection. - Mingchen Gao; Ziyue Xu 001; Le Lu 001; Adam P. Harrison; Ronald M. Summers; Daniel J. Mollura (MLMI@MICCAI, 2016)

Numeric tensor framework: Exploiting and extending Einstein notation. - Adam P. Harrison; Dileepan Joseph (J. Comput. Sci., 2016)

Pathological Pulmonary Lobe Segmentation from CT Images Using Progressive Holistically Nested Neural Networks and Random Walker. - Kevin George; Adam P. Harrison; Dakai Jin; Ziyue Xu 001; Daniel J. Mollura (DLMIA/ML-CDS@MICCAI, 2017)

Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images. - Adam P. Harrison; Ziyue Xu 001; Kevin George; Le Lu 001; Ronald M. Summers; Daniel J. Mollura (MICCAI (3), 2017)

3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels. - Dakai Jin; Ziyue Xu 001; Adam P. Harrison; Kevin George; Daniel J. Mollura (MLMI@MICCAI, 2017)

Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling. - Mingchen Gao; Ziyue Xu 001; Le Lu 001; Adam P. Harrison; Ronald M. Summers; Daniel J. Mollura (CoRR, 2017)

Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. - Ke Yan 006; Xiaosong Wang 001; Le Lu 001; Ling Zhang 002; Adam P. Harrison; Mohammadhadi Bagheri; Ronald M. Summers (CVPR, 2018)

White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections. - Dakai Jin; Ziyue Xu 001; Adam P. Harrison; Daniel J. Mollura (ISBI, 2018)

Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays. - Jinzheng Cai; Le Lu 001; Adam P. Harrison; Xiaoshuang Shi; Pingjun Chen; Lin Yang 002 (MICCAI (2), 2018)

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 001; Adam P. Harrison; Ke Yan 006; Jing Xiao 006; Lin Yang 002; Ronald M. Summers (MICCAI (4), 2018)

CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation. - Dakai Jin; Ziyue Xu 001; Youbao Tang; Adam P. Harrison; Daniel J. Mollura (MICCAI (2), 2018)

CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement. - Youbao Tang; Jinzheng Cai; Le Lu 001; Adam P. Harrison; Ke Yan 006; Jing Xiao 006; Lin Yang 002; Ronald M. Summers (MLMI@MICCAI, 2018)

Semi-automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks. - Youbao Tang; Adam P. Harrison; Mohammadhadi Bagheri; Jing Xiao 006; Ronald M. Summers (MICCAI (4), 2018)

Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs. - Yuxing Tang; Xiaosong Wang 001; Adam P. Harrison; Le Lu 001; Jing Xiao 006; Ronald M. Summers (MLMI@MICCAI, 2018)

Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST. - Jinzheng Cai; Youbao Tang; Le Lu 001; Adam P. Harrison; Ke Yan 006; Jing Xiao 006; Lin Yang 002; Ronald M. Summers (CoRR, 2018)

Random Hinge Forest for Differentiable Learning. - Nathan Lay; Adam P. Harrison; Sharon Schreiber; Gitesh Dawer; Adrian Barbu (CoRR, 2018)

Deep Medical Image Computing in Preventive and Precision Medicine. - Le Lu 001; Adam P. Harrison (IEEE Multim., 2018)

Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation. - Holger R. Roth; Le Lu 001; Nathan Lay; Adam P. Harrison; Amal Farag; Andrew Sohn; Ronald M. Summers (Medical Image Anal., 2018)

High Performance Rearrangement and Multiplication Routines for Sparse Tensor Arithmetic. - Adam P. Harrison; Dileepan Joseph (SIAM J. Sci. Comput., 2018)

Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. - Ke Yan 006; Xiaosong Wang 001; Le Lu 001; Ling Zhang 002; Adam P. Harrison; Mohammadhadi Bagheri; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

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 006; Chen-Kan Tseng; Le Lu 001 (MICCAI (2), 2019)

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 006; Chen-Kan Tseng; Le Lu 001 (MICCAI (6), 2019)

Weakly Supervised Universal Fracture Detection in Pelvic X-Rays. - Yirui Wang 002; Le Lu 001; Chi-Tung Cheng; Dakai Jin; Adam P. Harrison; Jing Xiao 006; Chien-Hung Liao; Shun Miao (MICCAI (6), 2019)

CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT. - Bo Zhou 009; Adam P. Harrison; Jiawen Yao; Chi-Tung Cheng; Jing Xiao 006; Chien-Hung Liao; Le Lu 001 (DART/MIL3ID@MICCAI, 2019)

Deep Hierarchical Multi-label Classification of Chest X-ray Images. - Haomin Chen; Shun Miao; Daguang Xu; Gregory D. Hager; Adam P. Harrison (MIDL, 2019)

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 006; Le Lu 001 (CVPR, 2020)

Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-Ray Images. - Haomin Chen; Yirui Wang 002; Kang Zheng; Weijian Li 001; Chi-Tung Chang; Adam P. Harrison; Jing Xiao 006; Gregory D. Hager; Le Lu 001; Chien-Hung Liao; Shun Miao (ECCV (23), 2020)

JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-Scale Pathological CT Scans. - Fengze Liu; Jinzheng Cai; Yuankai Huo; Chi-Tung Cheng; Ashwin Raju; Dakai Jin; Jing Xiao 006; Alan L. Yuille; Le Lu 001; Chien-Hung Liao; Adam P. Harrison (ECCV (13), 2020)

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; Yuankai Huo; Jinzheng Cai; Junzhou Huang; Jing Xiao 006; Le Lu 001; Chien-Hung Liao; Adam P. Harrison (ECCV (23), 2020)

Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression. - Jinzheng Cai; Ke Yan 006; Chi-Tung Cheng; Jing Xiao 006; Chien-Hung Liao; Le Lu 001; Adam P. Harrison (MICCAI (4), 2020)

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 006; Tsung-Ying Ho; Jinzheng Cai; Adam P. Harrison; Xianghua Ye; Jing Xiao 006; Alan L. Yuille; Min Sun 001; Le Lu 001; et al. (MICCAI (7), 2020)

Reliable Liver Fibrosis Assessment from Ultrasound Using Global Hetero-Image Fusion and View-Specific Parameterization. - Bowen Li; Ke Yan 006; Dar-In Tai; Yuankai Huo; Le Lu 001; Jing Xiao 006; Adam P. Harrison (MICCAI (3), 2020)

Learning to Segment Anatomical Structures Accurately from One Exemplar. - Yuhang Lu; Weijian Li 001; Kang Zheng; Yirui Wang 002; Adam P. Harrison; Chihung Lin; Song Wang 002; Jing Xiao 006; Le Lu 001; Chang-Fu Kuo; Shun Miao (MICCAI (1), 2020)

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 006; Le Lu 001; Chien-Hung Liao; Adam P. Harrison (MICCAI (1), 2020)

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 006; Alan L. Yuille; Chien-Yu Lin; Le Lu 001 (CoRR, 2020)

Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification. - Zhuotun Zhu; Ke Yan 006; Dakai Jin; Jinzheng Cai; Tsung-Ying Ho; Adam P. Harrison; Dazhou Guo; Chun-Hung Chao; Xianghua Ye; Jing Xiao 006; Alan L. Yuille; Le Lu 001 (CoRR, 2020)

Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets. - Ke Yan 006; Jinzheng Cai; Adam P. Harrison; Dakai Jin; Jing Xiao 006; Le Lu 001 (CoRR, 2020)

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 006; Bennett A. Landman; Jing Xiao 006; Le Lu 001; Chien-Hung Liao; Adam P. Harrison (CoRR, 2020)

Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images. - Haomin Chen; Yirui Wang 002; Kang Zheng; Weijian Li 001; Chi-Tung Cheng; Adam P. Harrison; Jing Xiao 006; Gregory D. Hager; Le Lu 001; Chien-Hung Liao; Shun Miao (CoRR, 2020)

Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT. - Ke Yan 006; Jinzheng Cai; Youjing Zheng; Adam P. Harrison; Dakai Jin; Youvao Tang; Yuxing Tang; Lingyun Huang; Jing Xiao 006; Le Lu 001 (CoRR, 2020)

Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images. - Ke Yan 006; Jinzheng Cai; Dakai Jin; Shun Miao; Adam P. Harrison; Dazhou Guo; Youbao Tang; Jing Xiao 006; Jingjing Lu; Le Lu 001 (CoRR, 2020)

A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation. - Xinyu Zhang; Yirui Wang 002; Chi-Tung Cheng; Le Lu 001; Adam P. Harrison; Jing Xiao 006; Chien-Hung Liao; Shun Miao (CoRR, 2020)

Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach. - Bolin Lai; Xiaoyu Bai; Yuhsuan Wu; Xiaoyun Zhou 001; Peng Wang; Jinzheng Cai; Yuankai Huo; Lingyun Huang; Yong Xia 001; Jing Xiao 006; Le Lu 001; Heping Hu; et al. (CoRR, 2020)

Deep hiearchical multi-label classification applied to chest X-ray abnormality taxonomies. - Haomin Chen; Shun Miao; Daguang Xu; Gregory D. Hager; Adam P. Harrison (Medical Image Anal., 2020)

Window Loss for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation. - Xinyu Zhang; Yirui Wang 002; Chi-Tung Cheng; Le Lu 001; Adam P. Harrison; Jing Xiao 006; Chien-Hung Liao; Shun Miao (AAAI, 2021)

Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies. - Jinzheng Cai; Youbao Tang; Ke Yan 006; Adam P. Harrison; Jing Xiao 006; Gigin Lin; Le Lu 001 (CVPR, 2021)

Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach. - Bolin Lai; Yuhsuan Wu; Xiaoyu Bai; Xiaoyun Zhou 001; Peng Wang; Jinzheng Cai; Yuankai Huo; Lingyun Huang; Yong Xia 001; Jing Xiao 006; Le Lu 001; Heping Hu; et al. (PRIME@MICCAI, 2021)

Hetero-Modal Learning and Expansive Consistency Constraints for Semi-supervised Detection from Multi-sequence Data. - Bolin Lai; Yuhsuan Wu; Xiaoyun Zhou 001; Peng Wang; Le Lu 001; Lingyun Huang; Mei Han; Jing Xiao 006; Heping Hu; Adam P. Harrison (MLMI@MICCAI, 2021)

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings. - Bowen Li; Xinping Ren; Ke Yan 006; Le Lu 001; Lingyun Huang; Guotong Xie; Jing Xiao 006; Dar-In Tai; Adam P. Harrison (MICCAI (5), 2021)

SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings. - Fengze Liu; Ke Yan 006; Adam P. Harrison; Dazhou Guo; Le Lu 001; Alan L. Yuille; Lingyun Huang; Guotong Xie; Jing Xiao 006; Xianghua Ye; Dakai Jin (MICCAI (4), 2021)

Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph. - Xiao-Yun Zhou 001; Bolin Lai; Weijian Li 001; Yirui Wang 002; Kang Zheng; Fakai Wang; Chihung Lin; Le Lu 001; Lingyun Huang; Mei Han; Guotong Xie; Jing Xiao 006; et al. (DGM4MICCAI/DALI@MICCAI, 2021)

Deep Implicit Statistical Shape Models for 3D Medical Image Delineation. - Ashwin Raju; Shun Miao; Chi-Tung Cheng; Le Lu 001; Mei Han; Jing Xiao 006; Chien-Hung Liao; Junzhou Huang; Adam P. Harrison (CoRR, 2021)

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings. - Bowen Li; Xinping Ren; Ke Yan 006; Le Lu 001; Guotong Xie; Jing Xiao 006; Dar-In Tai; Adam P. Harrison (CoRR, 2021)

A Flexible Three-Dimensional Hetero-phase Computed Tomography Hepatocellular Carcinoma (HCC) Detection Algorithm for Generalizable and Practical HCC Screening. - Chi-Tung Cheng; Jinzheng Cai; Wei Teng; Youjing Zheng; Yuting Huang; Yu-Chao Wang; Chien-Wei Peng; Youbao Tang; Wei-Chen Lee; Ta-Sen Yeh; Jing Xiao 006; Le Lu 001; et al. (CoRR, 2021)

Accurate and Generalizable Quantitative Scoring of Liver Steatosis from Ultrasound Images via Scalable Deep Learning. - Bowen Li; Dar-In Tai; Ke Yan 006; Yi-Cheng Chen; Shiu-Feng Huang; Tse-Hwa Hsu; Wan-Ting Yu; Jing Xiao 006; Le Lu 001; Adam P. Harrison (CoRR, 2021)

A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI. - Peng Wang; Yuhsuan Wu; Bolin Lai; Xiaoyun Zhou 001; Le Lu 001; Wendi Liu; Huabang Zhou; Lingyun Huang; Jing Xiao 006; Adam P. Harrison; Ningyang Jia; Heping Hu (CoRR, 2021)

Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study. - Dazhou Guo; Jia Ge; Xianghua Ye; Senxiang Yan; Yi Xin; Yuchen Song; Bing-shen Huang; Tsung-Min Hung; Zhuotun Zhu; Ling Peng; Yanping Ren; Rui Liu; et al. (CoRR, 2021)

DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy. - Dakai Jin; Dazhou Guo; Tsung-Ying Ho; Adam P. Harrison; Jing Xiao 006; Chen-Kan Tseng; Le Lu 001 (Medical Image Anal., 2021)

Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale. - Jinzheng Cai; Adam P. Harrison; Youjing Zheng; Ke Yan 006; Yuankai Huo; Jing Xiao 006; Lin Yang 002; Le Lu 001 (IEEE Trans. Medical Imaging, 2021)

Contour Transformer Network for One-Shot Segmentation of Anatomical Structures. - Yuhang Lu; Kang Zheng; Weijian Li 001; Yirui Wang 002; Adam P. Harrison; Chihung Lin; Song Wang 002; Jing Xiao 006; Le Lu 001; Chang-Fu Kuo; Shun Miao (IEEE Trans. Medical Imaging, 2021)

Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT. - Ke Yan 006; Jinzheng Cai; Youjing Zheng; Adam P. Harrison; Dakai Jin; Youbao Tang; Yuxing Tang; Lingyun Huang; Jing Xiao 006; Le Lu 001 (IEEE Trans. Medical Imaging, 2021)

Deep Implicit Statistical Shape Models for 3D Medical Image Delineation. - Ashwin Raju; Shun Miao; Dakai Jin; Le Lu 001; Junzhou Huang; Adam P. Harrison (AAAI, 2022)

Localized Adversarial Domain Generalization. - Wei Zhu 015; Le Lu 001; Jing Xiao 006; Mei Han; Jiebo Luo 001; Adam P. Harrison (CVPR, 2022)

SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images. - Ke Yan 006; Jinzheng Cai; Dakai Jin; Shun Miao; Dazhou Guo; Adam P. Harrison; Youbao Tang; Jing Xiao 006; Jingjing Lu; Le Lu 001 (IEEE Trans. Medical Imaging, 2022)