An omnidirectional M-mode echocardiography system and its clinical application. - Qiang Lin; Wenji Wu; Liqin Huang; Yonghua Lin (Comput. Medical Imaging Graph., 2006)

A 0.5358-approximation for Bandpass-2. - Liqin Huang; Weitian Tong; Randy Goebel; Tian Liu 001; Guohui Lin (J. Comb. Optim., 2015)

Dense Trajectories and DHOG for Classification of Viewpoints from Echocardiogram Videos. - Liqin Huang; Xiangyu Zhang; Wei Li (Comput. Math. Methods Medicine, 2016)

Improving the precision of omni-directional M-mode echocardiography systems. - Liqin Huang; Wei Li; Edward Currie; Wenzhong Guo (Neurocomputing, 2016)

Measuring the absolute distance of a front vehicle from an in-car camera based on monocular vision and instance segmentation. - Liqin Huang; Yanan Chen; Zhengjia Fan; Zhifeng Chen (J. Electronic Imaging, 2018)

Improving Person Re-Identification Performance Using Body Mask Via Cross-Learning Strategy. - Junyi Wu 001; Lingxiang Yao; Yan Huang 023; Jingsong Xu; Qiang Wu 001; Liqin Huang (VCIP, 2019)

Robust Inter-Vehicle Distance Estimation Method Based on Monocular Vision. - Liqin Huang; Ting Zhe; Junyi Wu 001; Qiang Wu 001; Chenhao Pei; Dan Chen (IEEE Access, 2019)

Pyramid-Structured Depth MAP Super-Resolution Based on Deep Dense-Residual Network. - Liqin Huang; Jian Zhang 002; Yifan Zuo; Qiang Wu 001 (IEEE Signal Process. Lett., 2019)

Brain Tumor Segmentation Network Using Attention-Based Fusion and Spatial Relationship Constraint. - Chenyu Liu; Wangbin Ding; Lei Li 020; Zhen Zhang 057; Chenhao Pei; Liqin Huang; Xiahai Zhuang (BrainLes@MICCAI (1), 2020)

Cross-Modality Multi-atlas Segmentation Using Deep Neural Networks. - Wangbin Ding; Lei Li 020; Xiahai Zhuang; Liqin Huang (MICCAI (3), 2020)

Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information. - Lei Li 020; Veronika A. Zimmer; Wangbin Ding; Fuping Wu; Liqin Huang; Julia A. Schnabel; Xiahai Zhuang (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Multi-modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images. - Zhen Zhang; Chenyu Liu; Wangbin Ding; Sihan Wang; Chenhao Pei; Mingjing Yang; Liqin Huang (MyoPS@MICCAI, 2020)

Region-aware multi-resolution learning for vehicle re-identification using mask. - Liqin Huang; Leijie Lin; Lin Pan; Chenhao Pei; Huibin Chen (J. Electronic Imaging, 2020)

Generated Data With Sparse Regularized Multi-Pseudo Label for Person Re-Identification. - Liqin Huang; Qingqing Yang; Junyi Wu 001; Yan Huang 023; Qiang Wu 001; Jingsong Xu (IEEE Signal Process. Lett., 2020)

DeepWindow: Sliding Window Based on Deep Learning for Road Extraction From Remote Sensing Images. - Renbao Lian; Liqin Huang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Road Extraction Methods in High-Resolution Remote Sensing Images: A Comprehensive Review. - Renbao Lian; Weixing Wang; Nadir Mustafa; Liqin Huang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Multi-Scale Frequency Reconstruction for Guided Depth Map Super-Resolution via Deep Residual Network. - Yifan Zuo; Qiang Wu 001; Yuming Fang; Ping An; Liqin Huang; Zhifeng Chen (IEEE Trans. Circuits Syst. Video Technol., 2020)

Inter-Vehicle Distance Estimation Method Based on Monocular Vision Using 3D Detection. - Ting Zhe; Liqin Huang; Qiang Wu 001; Jianjia Zhang; Chenhao Pei; Liangyu Li (IEEE Trans. Veh. Technol., 2020)

A Two-Stage Cascaded Deep Neural Network with Multi-decoding Paths for Kidney Tumor Segmentation. - Tian He; Zhen Zhang; Chenhao Pei; Liqin Huang (KiTS@MICCAI, 2021)

Unsupervised Multi-modality Registration Network Based on Spatially Encoded Gradient Information. - Wangbin Ding; Lei Li 020; Liqin Huang; Xiahai Zhuang (STACOM@MICCAI, 2021)

Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition. - Lei Li 020; Wangbin Ding; Liqin Huang; Xiahai Zhuang (STACOM@MICCAI, 2021)

Interpretative computer-aided lung cancer diagnosis: From radiology analysis to malignancy evaluation. - Shaohua Zheng; Zhiqiang Shen; Chenhao Pei; Wangbin Ding; Haojin Lin; Jiepeng Zheng; Lin Pan; Bin Zheng; Liqin Huang (Comput. Methods Programs Biomed., 2021)

Automatic Pulmonary Artery and Vein Separation Algorithm Based on Multitask Classification Network and Topology Reconstruction in Chest CT Images. - Lin Pan; Yaoyong Zheng; Liqin Huang; Liuqing Chen; Zhen Zhang; Rongda Fu; Bin Zheng; Shaohua Zheng (CoRR, 2021)

Unsupervised MMRegNet based on Spatially Encoded Gradient Information. - Wangbin Ding; Lei Li 020; Xiahai Zhuang; Liqin Huang (CoRR, 2021)

A dual-attention V-network for pulmonary lobe segmentation in CT scans. - Shaohua Zheng; Weiyu Nie; Lin Pan; Bin Zheng; Zhiqiang Shen; Liqin Huang; Chenhao Pei; Yuhang She; Liuqing Chen (IET Image Process., 2021)

Unidirectional information-interaction network for person re-identification. - Qingqing Yang; Junyi Wu 001; Qishan Song; Zhipeng Gao; Liqin Huang; Zhigang Song (J. Electronic Imaging, 2021)

Disentangle domain features for cross-modality cardiac image segmentation. - Chenhao Pei; Fuping Wu; Liqin Huang; Xiahai Zhuang (Medical Image Anal., 2021)

Dual-Stream Guided-Learning via a Priori Optimization for Person Re-identification. - Junyi Wu 001; Yan Huang 023; Qiang Wu 001; Zhipeng Gao; Jianqiang Zhao; Liqin Huang (ACM Trans. Multim. Comput. Commun. Appl., 2021)

MSRCN: Multi-task Learning Network for Cell Segmentation and Regression Counting. - Lihua Huang; Liqin Huang; Mingjing Yang (ISAIMS, 2022)

Deep Convolutional Neural Network for Image Quality Assessment and Diabetic Retinopathy Grading. - Zhenyu Chen; Liqin Huang (MIDOG/DRAC@MICCAI, 2022)

Data Augmentation by Fourier Transformation for Class-Imbalance: Application to Medical Image Quality Assessment. - Zhicheng Wu; Yanbin Chen; Xuru Zhang; Liqin Huang (MIDOG/DRAC@MICCAI, 2022)

Multi-depth Boundary-Aware Left Atrial Scar Segmentation Network. - Mengjun Wu; Wangbin Ding; Mingjing Yang; Liqin Huang (LAScarQS@MICCAI, 2022)

Two Stage of Histogram Matching Augmentation for Domain Generalization: Application to Left Atrial Segmentation. - Xuru Zhang; Xinye Yang; Lihua Huang; Liqin Huang (LAScarQS@MICCAI, 2022)

Face Super Resolution based on Contrastive Learning. - Wenlin Zhang; Sumei Li; Liqin Huang (VCIP, 2022)

Coarse-to-fine airway segmentation using multi information fusion network and CNN-based region growing. - Jinquan Guo; Rongda Fu; Lin Pan; Shaohua Zheng; Liqin Huang; Bin Zheng; Bingwei He (Comput. Methods Programs Biomed., 2022)

Multi-Depth Boundary-Aware Left Atrial Scar Segmentation Network. - Mengjun Wu; Wangbin Ding; Mingjin Yang; Liqin Huang (CoRR, 2022)

Exposure consistency for lane detection under varied light conditions. - Mingjing Yang; Yingdong Wei; Lin Pan; Liqin Huang (J. Electronic Imaging, 2022)

An Effective Road Centerline Extraction Method From VHR. - Renbao Lian; Zhenmin Zhang; Changzhong Zou; Liqin Huang (IEEE Geosci. Remote. Sens. Lett., 2022)

Weakly Supervised Road Segmentation in High-Resolution Remote Sensing Images Using Point Annotations. - Renbao Lian; Liqin Huang (IEEE Trans. Geosci. Remote. Sens., 2022)

Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion. - Wangbin Ding; Lei Li 020; Xiahai Zhuang; Liqin Huang (IEEE J. Biomed. Health Informatics, 2022)

Abdomen Multi-organ Segmentation Using Pseudo Labels and Two-Stage. - Xinye Yang; Xuru Zhang; Xiaochao Yan; Wangbin Ding; Hao Chen; Liqin Huang (FLARE@MICCAI, 2023)

RASNet: U-Net-Based Robust Aortic Segmentation Network for Multicenter Datasets. - Jihan Zhang; Zhen Zhang 057; Liqin Huang (SEG.A@MICCAI, 2023)

3D ST-Net: A Large Kernel Simple Transformer for Brain Tumor Segmentation. - Jiahao Zheng 008; Liqin Huang (BraTS/CrossMoDA@MICCAI, 2023)

A Context-Encoders-Based Generative Adversarial Networks for Cine Magnetic Resonance Imaging Reconstruction. - Weihua Zhang; Mengshi Tang; Liqin Huang; Wei Li (STACOM@MICCAI, 2023)

MNC-Net: Multi-task graph structure learning based on node clustering for early Parkinson's disease diagnosis. - Liqin Huang; Xiaofang Ye; Mingjing Yang; Lin Pan; Shaohua Zheng (Comput. Biol. Medicine, 2023)

Automatic pulmonary artery-vein separation in CT images using a twin-pipe network and topology reconstruction. - Lin Pan; Xiaochao Yan; Yaoyong Zheng; Liqin Huang; Zhen Zhang 057; Rongda Fu; Bin Zheng; Shaohua Zheng (PeerJ Comput. Sci., 2023)

Learning multi-view and centerline topology connectivity information for pulmonary artery-vein separation. - Lin Pan; Zhaopei Li; Zhiqiang Shen; Zheng Liu 002; Liqin Huang; Mingjing Yang; Bin Zheng; Taidui Zeng; Shaohua Zheng (Comput. Biol. Medicine, 2023)

Diagnosis of Parkinson's disease based on 3D ResNet: The frontal lobe is crucial. - Mingjing Yang; Xianbin Huang; Liqin Huang; Guoen Cai (Biomed. Signal Process. Control., 2023)

Multi-modality cardiac image computing: A survey. - Lei Li 020; Wangbin Ding; Liqin Huang; Xiahai Zhuang; Vicente Grau (Medical Image Anal., 2023)

Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation. - Wangbin Ding; Lei Li 020; Junyi Qiu; Sihan Wang; Liqin Huang; Yinyin Chen; Shan Yang; Xiahai Zhuang (IEEE Trans. Medical Imaging, 2023)

Multi-Organ Registration With Continual Learning. - Wangbin Ding; Haoran Sun; Chenhao Pei; Dengqiang Jia; Liqin Huang (IEEE Signal Process. Lett., 2024)

Multi-Source Domain Adaptation for Medical Image Segmentation. - Chenhao Pei; Fuping Wu; Mingjing Yang; Lin Pan; Wangbin Ding; Jinwei Dong; Liqin Huang; Xiahai Zhuang (IEEE Trans. Medical Imaging, 2024)

Dual-phase airway segmentation: Enhancing distal bronchial identification with anatomical prior guidance. - Zhen Zhang 057; Wen Zhang; Liqin Huang; Lin Pan; Shaohua Zheng; Zheng Liu 002; Weisheng Chen; Penggang Bai (Eng. Appl. Artif. Intell., 2025)

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR. - Wangbin Ding; Lei Li 020; Junyi Qiu; Bogen Lin; Mingjing Yang; Liqin Huang; Lianming Wu; Sihan Wang; Xiahai Zhuang (CoRR, 2025)