Comparing Shape Tracking, Speckle Tracking, and a Combined Method for Deformation Analysis in Echocardiography. - Colin B. Compas; Ben A. Lin; Smita Sampath; Lingyun Huang; Qifeng Wei; Albert J. Sinusas; James S. Duncan (HISB, 2011)

A three-stage deadlock prevention strategy for S3PR nets. - ShouGuang Wang; Carla Seatzu; Lingyun Huang (CASE, 2015)

Deep Learning Based Mass Detection in Mammograms. - Zhenjie Cao; Zhicheng Yang; Yanbo Zhang; Ruei-Sung Lin; Shibin Wu; Lingyun Huang; Mei Han; Jie Ma (GlobalSIP, 2019)

DeepLIMa: Deep Learning Based Lesion Identification in Mammograms. - Zhenjie Cao; Zhicheng Yang; Xiaoyan Zhuo; Ruei-Sung Lin; Shibin Wu; Lingyun Huang; Mei Han; Yanbo Zhang; Jie Ma (ICCV Workshops, 2019)

Deep Learning Based Lesion Detection For Mammograms. - Zhenjie Cao; Zhicheng Yang; Xinya Liu; Yanbo Zhang; Shibin Wu; Ruei-Sung Lin; Lingyun Huang; Mei Han; Jie Ma (ICHI, 2019)

A Resource-aware Distributed Kalman Filter with Stochastic Communication Based on Site-percolation Model. - Chun-xi Yang; Jie Zhu; Jing Zhang; Lingyun Huang (ISIE, 2019)

Scaffolding student teachers' information-seeking behaviours with a network-based tutoring system. - Eric G. Poitras; Zachary Mayne; Lingyun Huang; Laurel Udy; Susanne P. Lajoie (J. Comput. Assist. Learn., 2019)

MABEL: An AI-Powered Mammographic Breast Lesion Diagnostic System. - Zhicheng Yang; Zhenjie Cao; Yanbo Zhang; Peng Chang 002; Shibin Wu; Lingyun Huang; Wei Xu 007; Mei Han; Jing Xiao 006; Mingxiang Wu; Jie Ma (HealthCom, 2020)

MommiNet: Mammographic Multi-view Mass Identification Networks. - Zhicheng Yang; Zhenjie Cao; Yanbo Zhang; Mei Han; Jing Xiao 006; Lingyun Huang; Shibin Wu; Jie Ma; Peng Chang 002 (MICCAI (6), 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)

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)

Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays. - Yirui Wang 002; Kang Zheng; Chi-Tung Chang; Xiao-Yun Zhou 001; Zhilin Zheng; Lingyun Huang; Jing Xiao 006; Le Lu 001; Chien-Hung Liao; Shun Miao (CoRR, 2020)

3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management. - Tianyi Zhao; Kai Cao; Jiawen Yao; Isabella Nogues; Le Lu 001; Lingyun Huang; Jing Xiao 006; Zhaozheng Yin; Ling Zhang 002 (CVPR, 2021)

Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. - Jieneng Chen; Ke Yan 006; Yu-Dong Zhang; Youbao Tang; Xun Xu; Shuwen Sun; Qiuping Liu; Lingyun Huang; Jing Xiao 006; Alan L. Yuille; Ya Zhang 002; Le Lu 001 (MICCAI (7), 2021)

DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans Using Anatomical Context Encoding and Key Organ Auto-Search. - Dazhou Guo; Xianghua Ye; Jia Ge; Xing Di; Le Lu 001; Lingyun Huang; Guotong Xie; Jing Xiao 006; Zhongjie Lu; Ling Peng; Senxiang Yan; Dakai Jin (MICCAI (5), 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)

Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss. - Youbao Tang; Jinzheng Cai; Ke Yan 006; Lingyun Huang; Guotong Xie; Jing Xiao 006; Jingjing Lu; Gigin Lin; Le Lu 001 (MICCAI (2), 2021)

Lesion Segmentation and RECIST Diameter Prediction via Click-Driven Attention and Dual-Path Connection. - Youbao Tang; Ke Yan 006; Jinzheng Cai; Lingyun Huang; Guotong Xie; Jing Xiao 006; Jingjing Lu; Gigin Lin; Le Lu 001 (MICCAI (2), 2021)

Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers. - Yingda Xia; Jiawen Yao; Le Lu 001; Lingyun Huang; Guotong Xie; Jing Xiao 006; Alan L. Yuille; Kai Cao; Ling Zhang 002 (MICCAI (5), 2021)

Semi-supervised Learning for Bone Mineral Density Estimation in Hip X-Ray Images. - Kang Zheng; Yirui Wang 002; Xiao-Yun Zhou 001; Fakai Wang; Le Lu 001; Chihung Lin; Lingyun Huang; Guotong Xie; Jing Xiao 006; Chang-Fu Kuo; Shun Miao (MICCAI (5), 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)

Latent profiles of self-regulated learning and their impacts on teachers' technology integration. - Lingyun Huang; Shan Li; Eric G. Poitras; Susanne P. Lajoie (Br. J. Educ. Technol., 2021)

Process analysis of teachers' self-regulated learning patterns in technological pedagogical content knowledge development. - Lingyun Huang; Susanne P. Lajoie (Comput. Educ., 2021)

Self-regulation and emotion matter: A case study of instructor interactions with a learning analytics dashboard. - Juan Zheng; Lingyun Huang; Shan Li; Susanne P. Lajoie; Yuxin Chen; Cindy E. Hmelo-Silver (Comput. Educ., 2021)

DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search. - Dazhou Guo; Xianghua Ye; Jia Ge; Xing Di; Le Lu 001; Lingyun Huang; Guotong Xie; Jing Xiao 006; Zhongjie Liu; Ling Peng; Senxiang Yan; Dakai Jin (CoRR, 2021)

Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT. - Xianghua Ye; Dazhou Guo; Chen-Kan Tseng; Jia Ge; Tsung-Min Hung; Ping-Ching Pai; Yanping Ren; Lu Zheng; Xinli Zhu; Ling Peng; Ying Chen; Xiaohua Chen; et al. (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)

The Role of Self-Improving Tutoring Systems in Fostering Pre-Service Teacher Self-Regulated Learning. - Lingyun Huang; Laurel Dias; Elizabeth Nelson; Lauren Liang; Susanne P. Lajoie; Eric G. Poitras (Frontiers Artif. Intell., 2021)

MommiNet-v2: Mammographic multi-view mass identification networks. - Zhicheng Yang; Zhenjie Cao; Yanbo Zhang; Yuxing Tang; Xiaohui Lin 010; Rushan Ouyang; Mingxiang Wu; Mei Han; Jing Xiao 006; Lingyun Huang; Shibin Wu; Peng Chang 002; et al. (Medical Image Anal., 2021)

Using BI-RADS Stratifications as Auxiliary Information for Breast Masses Classification in Ultrasound Images. - Jie Xing; Chao Chen; Qinyang Lu; Xun Cai; Aijun Yu; Yi Xu 001; Xiaoling Xia; Yue Sun; Jing Xiao 006; Lingyun Huang (IEEE J. Biomed. Health Informatics, 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)

Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans. - Liangchen Liu; Jianfei Liu; Manas Kumar Nag; Navid Hasani; Seung Yeon Shin; Sriram S. Paravastu; Babak Saboury; Jing Xiao 006; Lingyun Huang; Ronald M. Summers (MMMI@MICCAI, 2022)

Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation. - Daoan Zhang; Chenming Li; Haoquan Li; Wenjian Huang; Lingyun Huang; Jianguo Zhang 001 (AAAI, 2023)

A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging. - Zhilin Zheng; Xu Fang; Jiawen Yao; Mengmeng Zhu; Le Lu 001; Lingyun Huang; Jing Xiao 006; Yu Shi; Hong Lu; Jianping Lu; Ling Zhang 002; Chengwei Shao; et al. (CoRR, 2023)

Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization. - Daoan Zhang; Mingkai Chen; Chenming Li; Lingyun Huang; Jianguo Zhang 001 (CoRR, 2023)

Time in various phases of self-regulation and problem-solving performance in an Intelligent Tutoring System. - Susanne P. Lajoie; Eric G. Poitras; Tenzin Doleck; Lingyun Huang (Educ. Inf. Technol., 2023)

Time-driven modeling of student self-regulated learning in network-based tutors. - Eric G. Poitras; Tenzin Doleck; Lingyun Huang; Laurel Dias; Susanne P. Lajoie (Interact. Learn. Environ., 2023)

Multimodal learning analytics for assessing teachers' self-regulated learning in planning technology-integrated lessons in a computer-based environment. - Lingyun Huang; Tenzin Doleck; Boyin Chen; Xiaoshan Huang; Chengyi Tan; Susanne P. Lajoie; Minhong Wang 001 (Educ. Inf. Technol., 2023)

A systematic review of technology-enabled teacher professional development during COVID -19 pandemic. - Lingyun Huang; Min Liang; Yuhan Xiong; Xiaomeng Wu; Cher Ping Lim (Comput. Educ., 2024)

CVPT: Cross-Attention help Visual Prompt Tuning adapt visual task. - Lingyun Huang; Jianxu Mao; Yaonan Wang 001; Junfei Yi; Ziming Tao (CoRR, 2024)

An interpretable two-branch bi-coordinate network based on multi-grained domain knowledge for classification of thyroid nodules in ultrasound images. - Mingyu Wang; Chao Chen; Ziyue Xu 001; Lang Xu; Weiwei Zhan; Jing Xiao 006; Yiqing Hou; Bingsheng Huang; Lingyun Huang; Shuo Li 001 (Medical Image Anal., 2024)

Examining university teachers' self-regulation in using a learning analytics dashboard for online collaboration. - Lingyun Huang; Juan Zheng; Susanne P. Lajoie; Yuxin Chen; Cindy E. Hmelo-Silver; Minhong Wang 001 (Educ. Inf. Technol., 2024)

How teachers' self-regulation, emotions, perceptions, and experiences predict their capacities for learning analytics dashboard: A Bayesian approach. - Yiming Liu; Lingyun Huang; Tenzin Doleck (Educ. Inf. Technol., 2024)

Quality Evaluation of Culture-Tourism Integration Based on a 3E Multi-Dimensional Subjective-Objective Hybrid Weighting Method. - Lingyun Huang; Zhanqi Li (IEEE Access, 2025)

Modeling student teachers' self-regulated learning of complex professional knowledge: A sequential and clustering analysis with think-aloud protocols. - Lingyun Huang; Ying Zhan; Shen Ba (Comput. Educ., 2025)

Integrating 4C/ID model into computer- supported formative assessment system to improve the effectiveness of complex skills training for vocational education. - Haoxin Xu; Tianrun Deng; Xianlong Xu; Xiaoqing Gu; Lingyun Huang; Haoran Xie 001; Minhong Wang 001 (Educ. Inf. Technol., 2025)