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Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings


Apr 16, 2021
Bowen Li, Xinping Ren, Ke Yan, Le Lu, Guotong Xie, Jing Xiao, Dar-In Tai, Adam P. Harrison

* Main body includes 10 pages and 3 figures 

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Deep Implicit Statistical Shape Models for 3D Medical Image Delineation


Apr 07, 2021
Ashwin Raju, Shun Miao, Chi-Tung Cheng, Le Lu, Mei Han, Jing Xiao, Chien-Hung Liao, Junzhou Huang, Adam P. Harrison


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Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data


Mar 24, 2021
Bolin Lai, Yuhsuan Wu, Xiao-Yun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison

* 13 pages 

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A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation


Jan 04, 2021
Xinyu Zhang, Yirui Wang, Chi-Tung Cheng, Le Lu, Adam P. Harrison, Jing Xiao, Chien-Hung Liao, Shun Miao

* Accepted to AAAI-2021 

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Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies


Dec 09, 2020
Jinzheng Cai, Youbao Tang, Ke Yan, Adam P. Harrison, Jing Xiao, Gigin Lin, Le Lu

* Main manuscript: 11 pages, 4 figures, and 5 tables. Supplementary materials: 6 pages, 5 figures, and 1 table. Under review for publication 

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Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images


Dec 04, 2020
Ke Yan, Jinzheng Cai, Dakai Jin, Shun Miao, Adam P. Harrison, Dazhou Guo, Youbao Tang, Jing Xiao, Jingjing Lu, Le Lu

* 16 pages including supplementary 

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Contour Transformer Network for One-shot Segmentation of Anatomical Structures


Dec 02, 2020
Yuhang Lu, Kang Zheng, Weijian Li, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao


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Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray Abnormality Taxonomies


Sep 23, 2020
Haomin Chen, Shun Miao, Daguang Xu, Gregory D. Hager, Adam P. Harrison

* MEDIMA 101811, 5 September 2020 

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Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT


Sep 05, 2020
Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, You-Bao Tang, Yu-Xing Tang, Lingyun Huang, Jing Xiao, Le Lu

* In submission 

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


Sep 05, 2020
Ashwin Raju, Zhanghexuan Ji, Chi Tung Cheng, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, ChienHung Liao, Adam P. Harrison


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


Aug 30, 2020
Jinzheng Cai, Ke Yan, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu, Adam P. Harrison

* Accepted by MICCAI2020 

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


Aug 29, 2020
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

* Accepted to MICCAI 2020 

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


Aug 07, 2020
Bowen Li, Ke Yan, Dar-In Tai, Yuankai Huo, Le Lu, Jing Xiao, Adam P. Harrison

* 10 pages, MICCAI 2020 

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Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images


Jul 12, 2020
Haomin Chen, Yirui Wang, Kang Zheng, Weijian Li, Chi-Tung Cheng, Adam P. Harrison, Jing Xiao, Gregory D. Hager, Le Lu, Chien-Hung Liao, Shun Miao

* ECCV 2020 (camera-ready) 

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Learning to Segment Anatomical Structures Accurately from One Exemplar


Jul 08, 2020
Yuhang Lu, Weijian Li, Kang Zheng, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao

* MICCAI2020 (Early accept) 

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Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets


May 28, 2020
Ke Yan, Jinzheng Cai, Adam P. Harrison, Dakai Jin, Jing Xiao, Le Lu


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


Apr 17, 2020
Dazhou Guo, Dakai Jin, Zhuotun Zhu, Tsung-Ying Ho, Adam P. Harrison, Chun-Hung Chao, Jing Xiao, Alan Yuille, Chien-Yu Lin, Le Lu

* IEEE CVPR 2020 

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Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale


Jan 28, 2020
Jinzheng Cai, Adam P. Harrison, Youjing Zheng, Ke Yan, Yuankai Huo, Jing Xiao, Lin Yang, Le Lu

* This work has been submitted to the IEEE for possible publication 

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CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT


Sep 27, 2019
Bo Zhou, Adam P. Harrison, Jiawen Yao, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu

* 11 pages, accepted by 2019 MICCAI - Medical Image Learning with Less Labels and Imperfect Data Workshop 

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


Sep 06, 2019
Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-kan Tseng, Le Lu

* MICCAI 2019 (early accept) 

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


Sep 06, 2019
Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-kan Tseng, Le Lu

* MICCAI 2019 (early accept and oral presentation) 

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Weakly Supervised Universal Fracture Detection in Pelvic X-rays


Sep 04, 2019
Yirui Wang, Le Lu, Chi-Tung Cheng, Dakai Jin, Adam P. Harrison, Jing Xiao, Chien-Hung Liao, Shun Miao

* MICCAI 2019 (early accept) 

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Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs


Jul 19, 2018
Yuxing Tang, Xiaosong Wang, Adam P. Harrison, Le Lu, Jing Xiao, Ronald M. Summers

* 9th International Conference on Machine Learning in Medical Imaging (MLMI 2018) In conjunction with MICCAI 2018 

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


Jul 18, 2018
Youbao Tang, Jinzheng Cai, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers

* Accepted by MLMI 2018 

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