New efforts to quantitative T2-mapping imaging. - Weijie Ji; Shouliang Qi; Jingshu Zhang; Yan Kang (BMEI, 2011)

PhenOMIM: An OMIM-based secondary database purported for phenotypic comparison. - Han J. W. van Triest; Danqi Chen 001; Xinglai Ji; Shouliang Qi; Jesse Li-Ling (EMBC, 2011)

Pancreatic malformations as seen in congenital syndromes - Developmental perspective with an alternative view. - Jianhua Li; Yueyang Teng; Shouliang Qi; Dayu Xiao; Lisheng Xu; Yan Kang; Jesse Li-Ling (ICIA, 2016)

Structural Brain Network: What is the Effect of LiFE Optimization of Whole Brain Tractography? - Shouliang Qi; Stephan P. L. Meesters; Klaas Nicolay; Bart M. ter Haar Romeny; Pauly P. W. Ossenblok (Frontiers Comput. Neurosci., 2016)

Transient Dynamics Simulation of Airflow in a CT-Scanned Human Airway Tree: More or Fewer Terminal Bronchi? - Shouliang Qi; Baihua Zhang; Yueyang Teng; Jianhua Li; Yong Yue 004; Yan Kang; Wei Qian 001 (Comput. Math. Methods Medicine, 2017)

Semi-supervised Nonnegative Matrix Factorization with Commonness Extraction. - Yueyang Teng; Shouliang Qi; Yin Dai; Lisheng Xu; Wei Qian 001; Yan Kang (Neural Process. Lett., 2017)

A Brief Review for Content-Based Microorganism Image Analysis Using Classical and Deep Neural Networks. - Chen Li 022; Ning Xu 012; Tao Jiang 014; Shouliang Qi; Fangfang Han; Wei Qian 001; Xin Zhao 023 (ITIB, 2018)

Lung nodule classification using local kernel regression models with out-of-sample extension. - Guohui Wei; He Ma; Wei Qian 001; Fangfang Han; Hongyang Jiang 001; Shouliang Qi; Min Qiu (Biomed. Signal Process. Control., 2018)

Agile convolutional neural network for pulmonary nodule classification using CT images. - Xinzhuo Zhao; Liyao Liu; Shouliang Qi; Yueyang Teng; Jianhua Li; Wei Qian 001 (Int. J. Comput. Assist. Radiol. Surg., 2018)

Multiple Frequency Bands Analysis of Large Scale Intrinsic Brain Networks and Its Application in Schizotypal Personality Disorder. - Shouliang Qi; Qingjun Gao; Jing Shen; Yueyang Teng; Xuan Xie; Yueji Sun; Jianlin Wu (Frontiers Comput. Neurosci., 2018)

Airflow in Tracheobronchial Tree of Subjects with Tracheal Bronchus Simulated Using CT Image Based Models and CFD Method. - Shouliang Qi; Baihua Zhang; Yong Yue 004; Jing Shen; Yueyang Teng; Wei Qian 001; Jianlin Wu (J. Medical Syst., 2018)

Content-based image retrieval for Lung Nodule Classification Using Texture Features and Learned Distance Metric. - Guohui Wei; Hui Cao; He Ma; Shouliang Qi; Wei Qian 001; Zhiqing Ma (J. Medical Syst., 2018)

Weakly Supervised Cervical Histopathological Image Classification Using Multilayer Hidden Conditional Random Fields. - Chen Li 022; Hao Chen 052; Dan Xue; Zhijie Hu; Le Zhang 023; Liangzi He; Ning Xu 012; Shouliang Qi; He Ma; Hongzan Sun (ITIB, 2019)

Predicting unnecessary nodule biopsy for a small lung cancer screening dataset by less-abstractive deep features. - Fangfang Han; Linkai Yan; Chen Li 022; Shouliang Qi; William Moore; Zhengrong Liang; Wei Qian 001 (Computer-Aided Diagnosis, 2019)

Fine-grained lung nodule segmentation with pyramid deconvolutional neural network. - Xinzhuo Zhao; Wenqing Sun; Wei Qian 001; Shouliang Qi; Jianjun Sun; Bo Zhang; Zhigang Yang (Computer-Aided Diagnosis, 2019)

A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential. - Frank Kulwa; Chen Li 022; Xin Zhao 023; Bencheng Cai; Ning Xu 012; Shouliang Qi; Shuo Chen 005; Yueyang Teng (IEEE Access, 2019)

Microscopic Machine Vision Based Degradation Monitoring of Low-Voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework. - Chen Li 022; Fanjie Kong; Kai Wang 023; Aidong Xu; Gexiang Zhang; Ning Xu 012; Zhihua Liu; Haifeng Guo; Xue Wang; Kuan Liang; Jianying Yuan; Shouliang Qi; et al. (IEEE Access, 2019)

Detection and Classification of Pulmonary Nodules Using Convolutional Neural Networks: A Survey. - Patrice Monkam; Shouliang Qi; He Ma; Weiming Gao; Yu-Dong Yao; Wei Qian 001 (IEEE Access, 2019)

Ensemble Learning of Multiple-View 3D-CNNs Model for Micro-Nodules Identification in CT Images. - Patrice Monkam; Shouliang Qi; Mingjie Xu; Haoming Li 003; Fangfang Han; Yueyang Teng; Wei Qian 001 (IEEE Access, 2019)

Cascaded Conditional Generative Adversarial Networks With Multi-Scale Attention Fusion for Automated Bi-Ventricle Segmentation in Cardiac MRI. - Lin Qi 002; Haoran Zhang; Wenjun Tan; Shouliang Qi; Lisheng Xu; Yudong Yao; Wei Qian 001 (IEEE Access, 2019)

Ensemble Learners of Multiple Deep CNNs for Pulmonary Nodules Classification Using CT Images. - Baihua Zhang; Shouliang Qi; Patrice Monkam; Chen Li 022; Fan Yang; Yu-Dong Yao; Wei Qian 001 (IEEE Access, 2019)

A novel framework for the NMF methods with experiments to unmixing signals and feature representation. - Yueyang Teng; Yudong Yao; Shouliang Qi; Chen Li 022; Lisheng Xu; Wei Qian 001; Fenglei Fan; Ge Wang 001 (J. Comput. Appl. Math., 2019)

Graph Regularized Sparse Autoencoders with Nonnegativity Constraints. - Yueyang Teng; Yichao Liu; Jinliang Yang; Chen Li 022; Shouliang Qi; Yan Kang; Fenglei Fan; Ge Wang 001 (Neural Process. Lett., 2019)

A SARS-CoV-2 Microscopic Image Dataset with Ground Truth Images and Visual Features. - Chen Li 022; Jiawei Zhang; Frank Kulwa; Shouliang Qi; Ziyu Qi (PRCV (1), 2020)

Identification of COPD From Multi-View Snapshots of 3D Lung Airway Tree via Deep CNN. - Ran Du; Shouliang Qi; Jie Feng 009; Shuyue Xia; Yan Kang; Wei Qian 001; Yu-Dong Yao (IEEE Access, 2020)

Foldover Features for Dynamic Object Behaviour Description in Microscopic Videos. - Xialin Li; Chen Li 022; Frank Kulwa; Md Mamunur Rahaman; Wenwei Zhao; Xue Wang; Dan Xue; Yudong Yao; Yilin Cheng; Jindong Li; Shouliang Qi; Tao Jiang 014 (IEEE Access, 2020)

A Survey for Cervical Cytopathology Image Analysis Using Deep Learning. - Md Mamunur Rahaman; Chen Li 022; Xiangchen Wu; Yudong Yao; Zhijie Hu; Tao Jiang 014; Xiaoyan Li; Shouliang Qi (IEEE Access, 2020)

An Enhanced Framework of Generative Adversarial Networks (EF-GANs) for Environmental Microorganism Image Augmentation With Limited Rotation-Invariant Training Data. - Hao Xu 042; Chen Li 022; Md Mamunur Rahaman; Yudong Yao; Zihan Li; Jinghua Zhang; Frank Kulwa; Xin Zhao 023; Shouliang Qi; Yueyang Teng (IEEE Access, 2020)

An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification. - Dan Xue; Xiaomin Zhou; Chen Li 022; Yudong Yao; Md Mamunur Rahaman; Jinghua Zhang; Hao Chen 052; Jinpeng Zhang; Shouliang Qi; Hongzan Sun (IEEE Access, 2020)

A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks. - Xiaomin Zhou; Chen Li 022; Md Mamunur Rahaman; Yudong Yao; Shiliang Ai; Changhao Sun; Qian Wang; Yong Zhang; Mo Li 009; Xiaoyan Li; Tao Jiang 014; Dan Xue; et al. (IEEE Access, 2020)

A review for cervical histopathology image analysis using machine vision approaches. - Chen Li 022; Hao Chen 052; Xiaoyan Li; Ning Xu 012; Zhijie Hu; Dan Xue; Shouliang Qi; He Ma; Le Zhang 023; Hongzan Sun (Artif. Intell. Rev., 2020)

A framework for least squares nonnegative matrix factorizations with Tikhonov regularization. - Yueyang Teng; Shouliang Qi; Fangfang Han; Yudong Yao; Fenglei Fan; Qing Lyu 003; Ge Wang 001 (Neurocomputing, 2020)

Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning. - Fangfang Han; Linkai Yan; Junxin Chen 001; Yueyang Teng; Shuo Chen 005; Shouliang Qi; Wei Qian 001; Jie Yang; William Moore; Shu Zhang 006; Zhengrong Liang (J. Digit. Imaging, 2020)

Deep Learning in Medical Ultrasound Image Analysis: A Review. - Yu Wang 162; Xinke Ge; He Ma; Shouliang Qi; Guanjing Zhang; Yudong Yao (IEEE Access, 2021)

Two graph-regularized fuzzy subspace clustering methods. - Yueyang Teng; Shouliang Qi; Fangfang Han; Lisheng Xu; Yudong Yao; Wei Qian 001 (Appl. Soft Comput., 2021)

DR-MIL: deep represented multiple instance learning distinguishes COVID-19 from community-acquired pneumonia in CT images. - Shouliang Qi; Caiwen Xu; Chen Li 022; Bin Tian 006; Shuyue Xia; Jigang Ren; Liming Yang; Hanlin Wang; Hui Yu (Comput. Methods Programs Biomed., 2021)

EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation. - Hechen Yang; Chen Li 022; Xin Zhao 023; Bencheng Cai; Jiawei Zhang; Pingli Ma; Peng Zhao; Ao Chen 001; Tao Jiang 014; Hongzan Sun; Yueyang Teng; Shouliang Qi; et al. (CoRR, 2021)

Breast Tumor Segmentation in Ultrasound Images Based on U-NET Model. - Epimack Michael; He Ma; Shouliang Qi (ICR, 2022)

Automatic detection of stroke lesion from diffusion-weighted imaging via the improved YOLOv5. - Shannan Chen; Jinfeng Duan; Hong Wang; Rongqiang Wang; Jinze Li; Miao Qi; Yang Duan; Shouliang Qi (Comput. Biol. Medicine, 2022)

A fully automatic segmentation pipeline of pulmonary lobes before and after lobectomy from computed tomography images. - Haowen Pang; Yanan Wu; Shouliang Qi; Chen Li 022; Jing Shen; Yong Yue 004; Wei Qian 001; Jianlin Wu (Comput. Biol. Medicine, 2022)

Fully automatic pipeline of convolutional neural networks and capsule networks to distinguish COVID-19 from community-acquired pneumonia via CT images. - Qianqian Qi 003; Shouliang Qi; Yanan Wu; Chen Li 022; Bin Tian 006; Shuyue Xia; Jigang Ren; Liming Yang; Hanlin Wang; Hui Yu (Comput. Biol. Medicine, 2022)

Improving the level of autism discrimination with augmented data by GraphRNN. - Haonan Sun; Qiang He 002; Shouliang Qi; Yudong Yao; Yueyang Teng (Comput. Biol. Medicine, 2022)

Content-based image retrieval with a Convolutional Siamese Neural Network: Distinguishing lung cancer and tuberculosis in CT images. - Kai Zhang; Shouliang Qi; Jiumei Cai; Dan Zhao; Tao Yu; Yong Yue 004; Yudong Yao; Wei Qian 001 (Comput. Biol. Medicine, 2022)

Multi-scale segmentation squeeze-and-excitation UNet with conditional random field for segmenting lung tumor from CT images. - Baihua Zhang; Shouliang Qi; Yanan Wu; Xiaohuan Pan; Yudong Yao; Wei Qian 001; Yubao Guan (Comput. Methods Programs Biomed., 2022)

Improving the Level of Autism Discrimination through GraphRNN Link Prediction. - Haonan Sun; Qiang He 002; Shouliang Qi; Yudong Yao; Yueyang Teng (CoRR, 2022)

Subspace Nonnegative Matrix Factorization for Feature Representation. - Junhang Li; Jiao Wei; Can Tong; Tingting Shen; Yuchen Liu; Chen Li 022; Shouliang Qi; Yudong Yao; Yueyang Teng (CoRR, 2022)

EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks. - Liyu Shi; Xiaoyan Li; Weiming Hu; Haoyuan Chen; Jing Chen; Zizhen Fan; Minghe Gao; Yujie Jing; Guotao Lu; Deguo Ma; Zhiyu Ma; Qingtao Meng; et al. (CoRR, 2022)

Functional Brain Connections Identify Sensorineural Hearing Loss and Predict the Outcome of Cochlear Implantation. - Qiyuan Song; Shouliang Qi; Chaoyang Jin; Lei Yang; Wei Qian 001; Yi Yin; Houyu Zhao; Hui Yu (Frontiers Comput. Neurosci., 2022)

A comprehensive survey on deep learning techniques in CT image quality improvement. - Disen Li; Limin Ma; Jining Li; Shouliang Qi; Yudong Yao; Yueyang Teng (Medical Biol. Eng. Comput., 2022)

A Robust Gray-code Pattern Decoding Method for 3D Scanning with Structured Light. - Zhuohui Cui; Kai Nie; Shouliang Qi; Che Hou; Wenjie Chen (ICCVIT, 2023)

Deep CNN for COPD identification by Multi-View snapshot integration of 3D airway tree and lung field. - Yanan Wu; Ran Du; Jie Feng 009; Shouliang Qi; Haowen Pang; Shuyue Xia; Wei Qian 001 (Biomed. Signal Process. Control., 2023)

An attention-based deep learning network for predicting Platinum resistance in ovarian cancer. - Haoming Zhuang; Beibei Li; Jingtong Ma; Patrice Monkam; Shouliang Qi; Wei Qian 001; Dianning He (CoRR, 2023)

A majorization-minimization based solution to penalized nonnegative matrix factorization with orthogonal regularization. - Can Tong; Jiao Wei; Shouliang Qi; Yudong Yao; Tie Zhang; Yueyang Teng (J. Comput. Appl. Math., 2023)

Classification of COVID-19 from community-acquired pneumonia: Boosting the performance with capsule network and maximum intensity projection image of CT scans. - Yanan Wu; Qianqian Qi 003; Shouliang Qi; Liming Yang; Hanlin Wang; Hui Yu; Jianpeng Li; Gang Wang; Ping Zhang; Zhenyu Liang; Rongchang Chen (Comput. Biol. Medicine, 2023)

CE-NC-VesselSegNet: Supervised by contrast-enhanced CT images but utilized to segment pulmonary vessels from non-contrast-enhanced CT images. - Meihuan Wang; Shouliang Qi; Yanan Wu; Yu Sun; Runsheng Chang; Haowen Pang; Wei Qian 001 (Biomed. Signal Process. Control., 2023)

NCCT-CECT image synthesizers and their application to pulmonary vessel segmentation. - Haowen Pang; Shouliang Qi; Yanan Wu; Meihuan Wang; Chen Li 022; Yu Sun; Wei Qian 001; Guoyan Tang; Jiaxuan Xu; Zhenyu Liang; Rongchang Chen (Comput. Methods Programs Biomed., 2023)

Two-stage contextual transformer-based convolutional neural network for airway extraction from CT images. - Yanan Wu; Shuiqing Zhao; Shouliang Qi; Jie Feng 009; Haowen Pang; Runsheng Chang; Long Bai 008; Mengqi Li; Shuyue Xia; Wei Qian 001; Hongliang Ren 001 (Artif. Intell. Medicine, 2023)

An Entropy Weighted Nonnegative Matrix Factorization Algorithm for Feature Representation. - Jiao Wei; Can Tong; Bingxue Wu; Qiang He 002; Shouliang Qi; Yudong Yao; Yueyang Teng (IEEE Trans. Neural Networks Learn. Syst., 2023)

MSA-YOLOv5: Multi-scale attention-based YOLOv5 for automatic detection of acute ischemic stroke from multi-modality MRI images. - Shannan Chen; Jinfeng Duan; Nan Zhang; Miao Qi; Jinze Li; Hong Wang; Rongqiang Wang; Ronghui Ju; Yang Duan; Shouliang Qi (Comput. Biol. Medicine, 2023)

Transformer-based 3D U-Net for pulmonary vessel segmentation and artery-vein separation from CT images. - Yanan Wu; Shouliang Qi; Meihuan Wang; Shuiqing Zhao; Haowen Pang; Jiaxuan Xu; Long Bai 008; Hongliang Ren 001 (Medical Biol. Eng. Comput., 2023)

TSP-UDANet: two-stage progressive unsupervised domain adaptation network for automated cross-modality cardiac segmentation. - Yonghui Wang; Yifan Zhang; Lisheng Xu; Shouliang Qi; Yudong Yao; Wei Qian 001; Stephen E. Greenwald; Lin Qi 002 (Neural Comput. Appl., 2023)

Depicting and predicting changes of lung after lobectomy for cancer by using CT images. - Yanan Wu; Haowen Pang; Jing Shen; Shouliang Qi; Jie Feng 009; Yong Yue 004; Wei Qian 001; Jianlin Wu (Medical Biol. Eng. Comput., 2023)

A radiomics based method for prediction of prostate cancer Gleason score using enlarged region of interest. - Haoming Zhuang; Aritrick Chatterjee; Xiaobing Fan; Shouliang Qi; Wei Qian 001; Dianning He (BMC Medical Imaging, 2023)

MCICSAM: Monte Carlo-guided Interpolation Consistency Segment Anything Model for Semi-Supervised Prostate Zone Segmentation. - Guantian Huang; Beibei Li; Xiaobing Fan; Aritrick Chatterjee; Cheng Wei; Shouliang Qi; Wei Qian 001; Dianning He (CoRR, 2024)

FPT-Former: A Flexible Parallel Transformer of Recognizing Depression by Using Audiovisual Expert-Knowledge-Based Multimodal Measures. - Yifu Li; Xueping Yang; Meng Zhao; Zihao Wang; Yudong Yao; Wei Qian 001; Shouliang Qi (Int. J. Intell. Syst., 2024)

Spatial resolution enhancement using deep learning improves chest disease diagnosis based on thick slice CT. - Pengxin Yu; Haoyue Zhang; Dawei Wang; Rongguo Zhang; Mei Deng; Haoyu Yang; Lijun Wu; Xiaoxu Liu; Andrea Oh; Fereidoun Abtin; Ashley Prosper; Kathleen Ruchalski; et al. (npj Digit. Medicine, 2024)

A hybrid few-shot multiple-instance learning model predicting the aggressiveness of lymphoma in PET/CT images. - Caiwen Xu; Jie Feng 009; Yong Yue 004; Wanjun Cheng; Dianning He; Shouliang Qi; Guojun Zhang (Comput. Methods Programs Biomed., 2024)

NL-CS Net: Deep Learning with Non-local Prior for Image Compressive Sensing. - Shuai Bian; Shouliang Qi; Chen Li 022; Yudong Yao; Yueyang Teng (Circuits Syst. Signal Process., 2024)

Neuroimage analysis using artificial intelligence approaches: a systematic review. - Eric Jacob Bacon; Dianning He; N'bognon Angèle D'avilla Achi; Lanbo Wang; Han Li; Patrick Dê Zélèman Yao-Digba; Patrice Monkam; Shouliang Qi (Medical Biol. Eng. Comput., 2024)

BreathVisionNet: A pulmonary-function-guided CNN-transformer hybrid model for expiratory CT image synthesis. - Tiande Zhang; Haowen Pang; Yanan Wu; Jiaxuan Xu; Lingkai Liu; Shang Li; Shuyue Xia; Rongchang Chen; Zhenyu Liang; Shouliang Qi (Comput. Methods Programs Biomed., 2025)

GCB-Diff: Global context-aware and boundary-aware feature fusion based on diffusion model for medical image segmentation. - Shannan Chen; Qingda Chen; Tongkang Zhang; Kaizhou Gao; Ronghui Ju; Peizhuo Zang; Shouliang Qi (Neurocomputing, 2025)

An ordered subsets orthogonal nonnegative matrix factorization framework with application to image clustering. - Limin Ma; Can Tong; Shouliang Qi; Yudong Yao; Yueyang Teng (Int. J. Mach. Learn. Cybern., 2025)

A Self-training Framework for Semi-supervised Pulmonary Vessel Segmentation and Its Application in COPD. - Shuiqing Zhao; Meihuan Wang; Jiaxuan Xu; Jie Feng 009; Wei Qian 001; Rongchang Chen; Zhenyu Liang; Shouliang Qi; Yanan Wu (CoRR, 2025)