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 Tumor, Lymph Nodes, and Organs At Risk",
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",
Yirui Wang, Le Lu, Chi-Tung Cheng, Dakai Jin, Adam P. Harrison, Jing Xiao, ChienHung Liao, Miao Shun, "Weakly Supervised ROI Mining Towards Universal Fracture Detection in Pelvic X-ray", International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, 2019 (early accept)
Yuxing Tang, Youbao Tang, Veit Sandfort, Jing Xiao, Ronald M. Summers. "TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays". International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, 2019
Ke Yan, Youbao Tang, Yifan Peng, Veit Sanfort, Mohammadhadi, Bagheri, Zhiyong Lu, Ronald M. Summers, "MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation", International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, 2019
Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers, "Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology," CVPR, 2019, Long Beach, CA, USA (oral)
Hongyu Wang, Le Lu, Yong Xia, "Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography", IEEE Journal of Biomedical and Health Informatics, 2019 (accept)
Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers. "Abnormal Chest X-Ray Identification with Generative Adversarial One-Class Classifier". IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, 2019 (Oral)
Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jing Xiao, Ronald Summers. "ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining". IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, 2019
Youbao Tang, Yuxing Tang, Jing Xiao, Ronald M. Summers. "XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation",International Conference on Medical Imaging with Deep Learning (MIDL), London, United Kingdom, 2019 (Spotlight)
Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers. "Deep Adversarial One-class Learning for Normal and Abnormal Chest Radiograph Classification". SPIE Medical Imaging: Computer-Aided Diagnosis, San Diego, CA, United States, 2019 (Oral)
Youbao Tang, Sooyoun Oh, Yuxing Tang, Jing Xiao, Ronald M. Summers. "CT-realistic data augmentation using generative adversarial network for robust lymph node segmentation". SPIE Medical Imaging: Computer-Aided Diagnosis, San Diego, CA, United States, 2019
Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald Summers, "Abnormal Chest X-Ray Identification with Generative Adversarial One-Class Classifier", IEEE International Symposium on Biomedical Imaging (ISBI'19), to be held at the Hilton Molino Stucky in Venice, April 8 - 11, 2019.
Zhongliang Li, Tian Xia, Xingyu Lou, Kaihe Xu, Shaojun Wang, Jing Xiao, "Adversarial Discrete Sequence Generation without Explicit Neural Networks as Discriminators", The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019, to be held at Naha, April 16-18, 2019.
Hayato Itoh*, Holger Roth, Le Lu, Masahiro Oda, Kensaku Mori, Masashi Misawa, Yuichi Mori, Shin-ei Kudo, "Towards Automated Colonoscopy Diagnosis: Binary Polyp Size Staging via Unsupervised Depth Learning",MICCAI, Granada, Spain, 2018
Jinzheng Cai*, Youbao Tang*, Le Lu, Adam 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", MICCAI, Granada, Spain, 2018
Jinzheng Cai*, Le Lu, Adam Hassiron*, Xiaoshuang Shi, Pingjun Chen, Lin Yang, "Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays", MICCAI, Granada, Spain, 2018 (Early Accept)
Nathan Lay, Yohannes Tsehay, Yohan Sumathipala, Ruida Cheng, Sonia Gaur, Clayton Smith, Adrian Barbu, Le Lu, Baris Turkbey, et al., "A Compositional Model for the Detection of Prostate Cacer in Multi-Parameteric MRl", MICCAI, Granada, Spain, 2018 (Early Accept)
Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers, "TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays", IEEE CVPR, Salt Lake City, UT, USA, 2018 (Spotlight)
Ke Yan*, Xiaosong Wang*, Le Lu, Ling Zhang*, Adam Harrison*, Mohammadhad 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", IEEE CVPR, Salt Lake City, UT, USA, 2018
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". 9th International Conference on Machine Learning in Medical Imaging (MLMI) in conjunction with MICCAI, Granada, Spain, 2018 (Oral)
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", International Conference on Machine Learning in Medical Imaging (MICCAI-MLMI), Granada, Spain, 2018 (Oral)
Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers, "Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs", Scientific Papers, Oral, Science Session with Keynote: Informatics (Artificial Intelligence in Radiology: Cutting Edge Deep-Learning), RSNA, Chicago, USA, 2018
Youbao Tang, Jinzheng Cai, Le Lu, A P Harrison, Ke Yan, Jing Xiao, "CT Image Enhancement for Lesion Segmentation Using Stacked Generative Adversarial Networks", Scientific Posters, RSNA, Chicago, USA, 2018
Ke Yan, Xiaosong Wang, Le Lu, Ling Zhan, A P Harrison, M Bagher,"Relationship Learning and Organization of Significant Radiology Image Findings for Lesion Retrieval and Matching", Scientific Papers, Oral, RSNA Best Paper Award in the Category of "Imaging Informatics", Science Session with Keynote: Informatics (Artificial Intelligence in Radiology: Bleeding Edge), RSNA, Chicago, USA, 2018
Chun-Hung Chao, Hsien-Tzu Cheng, Yen-Chi Cheng, Chi-Wen Huang, Tsung-Ying Ho, Chen-kan Tseng, Le Lu, Min Sun, "Radiotherapy Target Contouring with Convolutional Gated Graph Neural Network", ML4H Workshop (Oral Spotlight, top 6%), Dec. 2018, Montreal, Canada.
Le Lu, Adam P. Harrison, "Deep Medical Image Computing in Preventive and Precision Medicine", IEEE Multimedia Magazine, (invited paper, pdf, ver_2), Nov. 2018
Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei, "Thoracic Disease Identification and Localization with Limited Supervision" , IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), June, 2018, Salt Lake City, USA.
Kun Su, Yu Xiong, Li Qi, Yu Xia, Baisong Li, Lin Yang, Qin Li, Wenge Tang, Xian Li, Xiaowen Ruan, Shaofeng Lu, Xianxian Chen, Chaobo Shen, Boran Hong, Jiaying Xu, Liang Xu, Mei Han and Jing Xiao, "City-Wide Influenza Forecasting based on Multi-Source Data", The Second IEEE International Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications (BPOD 2018), in conjunction with 2018 IEEE International Conference on Big Data, Seattle, Dec10-13, 2018.