Neural network for maximum entropy restoration of nuclear medicine images. - Huai-Dong Li; Wei Qian 001; Laurence P. Clarke; Maria Kallergi (ICASSP (1), 1993)

Order statistic-neural network hybrid filters for gamma camera-bremsstrahlung image restoration. - Wei Qian 001; Maria Kallergi; Laurence P. Clarke (IEEE Trans. Medical Imaging, 1993)

Adaptive Multistage Nonlinear Filtering and Wavelet for Medical Image Enhancement. - Wei Qian 001; Laurence P. Clarke (ICIP (3), 1994)

Wavelet compression and segmentation of digital mammograms. - Bradley J. Lucier; Maria Kallergi; Wei Qian 001; Ronald A. DeVore; Robert A. Clark; Edward B. Saff; Laurence P. Clarke (J. Digit. Imaging, 1994)

Tree-structured nonlinear filters in digital mammography. - Wei Qian 001; Laurence P. Clarke; Maria Kallergi; Robert A. Clark (IEEE Trans. Medical Imaging, 1994)

X-ray medical image processing using directional wavelet transform. - Lihua Li 002; Wei Qian 001; Laurence P. Clarke (ICASSP, 1996)

Wavelet-based neural network with fuzzy-logic adaptivity for nuclear image restoration. - Wei Qian 001; Laurence P. Clarke (Proc. IEEE, 1996)

Digital mammography: mixed feature neural network with spectral entropy decision for detection of microcalcifications. - Baoyu Zheng; Wei Qian 001; Laurence P. Clarke (IEEE Trans. Medical Imaging, 1996)

Wavelet transform for directional feature extraction in medical imaging. - Lihua Li 002; Fei Mao; Wei Qian 001; Laurence P. Clarke (ICIP (3), 1997)

A Computer Assisted Diagnostic System for Mass Detection. - Wei Qian 001; Lihua Li 002; Laurence P. Clarke; Fei Mao; Robert A. Clark; Jerry A. Thomas (Digital Mammography / IWDM, 1998)

Image feature extraction for mass detection in digital mammography: effects of wavelet analysis. - Lihua Li 002; Wei Qian 001; Laurence P. Clarke (Image Processing, 1998)

Adaptive Neural Network for Nuclear Medicine Image Restoration. - Wei Qian 001; Huai-Dong Li; Maria Kallergi; Dansheng Song; Laurence P. Clarke (J. VLSI Signal Process., 1998)

Improving mass detection by adaptive and multiscale processing in digitized mammograms. - Lihua Li 002; Wei Qian 001; Laurence P. Clarke; Robert A. Clark; Jerry A. Thomas (Image Processing, 1999)

Improved method for automatic identification of lung regions in chest radiographs. - Yang Zheng; Lihua Li 002; Maria Kallergi; Wei Qian 001; Robert A. Clark (Image Processing, 2000)

Knowledge based optimum feature selection for lung nodule diagnosis on thin section thoracic CT. - Ravi K. Samala; Wilfrido Alejandro Moreno; Dansheng Song; Yuncheng You; Wei Qian 001 (Computer-Aided Diagnosis, 2009)

Similarity based false-positive reduction for breast cancer using radiographic and pathologic imaging features. - Akshay Pai; Ravi K. Samala; Jianying Zhang; Wei Qian 001 (Computer-Aided Diagnosis, 2010)

Combinational feature optimization for classification of lung tissue images. - Ravi K. Samala; Tatyana Zhukov; Jianying Zhang; Melvyn Tockman; Wei Qian 001 (Computer-Aided Diagnosis, 2010)

Prognosis of stage I lung cancer patients through quantitative analysis of centrosomal features. - Dansheng Song; Tatyana Zhukov; Olga Markov; Wei Qian 001; Melvyn S. Tockman (ISBI, 2012)

Using undiagnosed data to enhance computerized breast cancer analysis with a three stage data labeling method. - Wenqing Sun; Tzu-Liang Tseng; Bin Zheng 001; Fleming Lure; Teresa Wu; Giulio Francia; Sergio Cabrera; Jianying Zhang; Miguel Vélez-Reyes; Wei Qian 001 (Computer-Aided Diagnosis, 2014)

Prediction of near-term risk of developing breast cancer using computerized features from bilateral mammograms. - Wenqing Sun; Bin Zheng 001; Fleming Lure; Teresa Wu; Jianying Zhang; Benjamin Y. Wang; Edward C. Saltzstein; Wei Qian 001 (Comput. Medical Imaging Graph., 2014)

Applying matrix factorization in data reconstruction for heart disease patient classification. - Huaxia Wang; Yu-Dong Yao; Wei Qian 001; Fleming Lure (HealthCom, 2015)

Exploring new quantitative CT image features to improve assessment of lung cancer prognosis. - Nastaran Emaminejad; Wei Qian 001; Yan Kang; Yubao Guan; Fleming Lure; Bin Zheng 001 (Computer-Aided Diagnosis, 2015)

A new breast cancer risk analysis approach using features extracted from multiple sub-regions on bilateral mammograms. - Wenqing Sun; Tzu-Liang Bill Tseng; Bin Zheng 001; Jianying Zhang; Wei Qian 001 (Computer-Aided Diagnosis, 2015)

A new CAD approach for improving efficacy of cancer screening. - Bin Zheng 001; Wei Qian 001; Lihua Li 002; Jiantao Pu; Yan Kang; Fleming Lure; Maxine Tan; Yuchen Qiu (Computer-Aided Diagnosis, 2015)

Augmenting cost-SVM with gaussian mixture models for imbalanced classification. - Miao He 001; Teresa Wu; Alvin C. Silva; Dianna-Yue Zhao; Wei Qian 001 (Artif. Intell. Res., 2015)

K Nearest Gaussian-A model fusion based framework for imbalanced classification with noisy dataset. - Miao He 001; Jeffery D. Weir; Teresa Wu; Alvin C. Silva; Dianna-Yue Zhao; Wei Qian 001 (Artif. Intell. Res., 2015)

Noninvasive estimation of pressure difference of left and right ventricle based on young - Laplace model. - Hongyu Kang; Jun Liu 066; Lisheng Xu; Wenlong Lv; Wei Qian 001; Jun Liu 067; Benqiang Yang; Mingyu Zou (ICIA, 2016)

A Preliminary Study on Breast Cancer Risk Analysis Using Deep Neural Network. - Wenqing Sun; Tzu-Liang (Bill) Tseng; Bin Zheng 001; Wei Qian 001 (Digital Mammography / IWDM, 2016)

A Novel Breast Cancer Risk Assessment Scheme Design Using Dual View Mammograms. - Wenqing Sun; Tzu-Liang (Bill) Tseng; Bin Zheng 001; Jiangying Zhang; Wei Qian 001 (Digital Mammography / IWDM, 2016)

A novel Kalman filter based video image processing scheme for two-photon fluorescence microscopy. - Wenqing Sun; Xia Huang; Chunqiang Li; Chuan Xiao 002; Wei Qian 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

Applying a radiomics approach to predict prognosis of lung cancer patients. - Nastaran Emaminejad; Shiju Yan; Yunzhi Wang 002; Wei Qian 001; Yubao Guan; Bin Zheng 001 (Computer-Aided Diagnosis, 2016)

Computerized lung cancer malignancy level analysis using 3D texture features. - Wenqing Sun; Xia Huang; Tzu-Liang Tseng; Jianying Zhang; Wei Qian 001 (Computer-Aided Diagnosis, 2016)

Computer aided lung cancer diagnosis with deep learning algorithms. - Wenqing Sun; Bin Zheng 001; Wei Qian 001 (Computer-Aided Diagnosis, 2016)

Improving the performance of lesion-based computer-aided detection schemes of breast masses using a case-based adaptive cueing method. - Maxine Tan; Faranak Aghaei; Yunzhi Wang 002; Wei Qian 001; Bin Zheng 001 (Computer-Aided Diagnosis, 2016)

Computerized breast cancer analysis system using three stage semi-supervised learning method. - Wenqing Sun; Tzu-Liang (Bill) Tseng; Jianying Zhang; Wei Qian 001 (Comput. Methods Programs Biomed., 2016)

Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients. - Nastaran Emaminejad; Wei Qian 001; Yubao Guan; Maxine Tan; Yuchen Qiu; Hong Liu 003; Bin Zheng 001 (IEEE Trans. Biomed. Eng., 2016)

A novel pixel value space statistics map of the pulmonary nodule for classification in computerized tomography images. - Hongyang Jiang 001; He Ma; Wei Qian 001; Guohui Wei; Xinzhuo Zhao; Mengdi Gao (EMBC, 2017)

Content-based retrieval for lung nodule diagnosis using learned distance metric. - Guohui Wei; He Ma; Wei Qian 001; Hongyang Jiang 001; Xinzhuo Zhao (EMBC, 2017)

A fully-automated multiscale kernel graph cuts based particle localization scheme for temporal focusing two-photon microscopy. - Xia Huang; Chunqiang Li; Chuan Xiao 002; Wenqing Sun; Wei Qian 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

Risk prediction of small pulmonary nodules based on novel CT image texture markers. - Fangfang Han; Bowen Song; He Ma; Wei Qian 001; Zhengrong Liang (Computer-Aided Diagnosis, 2017)

Automatic lung nodule graph cuts segmentation with deep learning false positive reduction. - Wenqing Sun; Xia Huang; Tzu-Liang Bill Tseng; Wei Qian 001 (Computer-Aided Diagnosis, 2017)

Balance the nodule shape and surroundings: a new multichannel image based convolutional neural network scheme on lung nodule diagnosis. - Wenqing Sun; Bin Zheng 001; Xia Huang; Wei Qian 001 (Computer-Aided Diagnosis, 2017)

Automatic feature learning using multichannel ROI based on deep structured algorithms for computerized lung cancer diagnosis. - Wenqing Sun; Bin Zheng 001; Wei Qian 001 (Comput. Biol. Medicine, 2017)

Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data. - Wenqing Sun; Tzu-Liang (Bill) Tseng; Jianying Zhang; Wei Qian 001 (Comput. Medical Imaging Graph., 2017)

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)

Association between mammogram density and background parenchymal enhancement of breast MRI. - Faranak Aghaei; Gopichandh Danala; Yunzhi Wang 002; Ali Zarafshani; Wei Qian 001; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 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)

A new near-term breast cancer risk prediction scheme based on the quantitative analysis of ipsilateral view mammograms. - Wenqing Sun; Tzu-Liang (Bill) Tseng; Wei Qian 001; Edward C. Saltzstein; Bin Zheng 001; Hui Yu; Shi Zhou (Comput. Methods Programs Biomed., 2018)

Automatic detection of neovascularization in retinal images using extreme learning machine. - He Huang; He Ma; Han J. W. van Triest; Yinghua Wei; Wei Qian 001 (Neurocomputing, 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)

An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network. - Hongyang Jiang 001; He Ma; Wei Qian 001; Mengdi Gao; Yan Li (IEEE J. Biomed. Health Informatics, 2018)

Quantitative pathologic analysis of pulmonary nodules using three-dimensional computed tomography images based on latent Dirichlet allocation. - Mengdi Gao; Hongyang Jiang 001; Dongdong Zhang; He Ma; Wei Qian 001 (EMBC, 2019)

Automatic Parallel Detection of Neovascularization from Retinal Images Using Ensemble of Extreme Learning Machine. - He Huang; He Ma; Wei Qian 001 (EMBC, 2019)

An Interpretable Ensemble Deep Learning Model for Diabetic Retinopathy Disease Classification. - Hongyang Jiang 001; Kang Yang; Mengdi Gao; Dongdong Zhang; He Ma; Wei Qian 001 (EMBC, 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)

Association of computer-aided detection results and breast cancer risk. - Seyedehnafiseh Mirniaharikandehei; Morteza Heidari; Gopichandh Danala; Wei Qian 001; Yuchen Qiu; Bin Zheng 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)

Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction. - Morteza Heidari; Seyedehnafiseh Mirniaharikandehei; Abolfazl Zargari Khuzani; Wei Qian 001; Yuchen Qiu; Bin Zheng 001 (Image Perception, Observer Performance, and Technology Assessment, 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)

Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks. - Xia Huang; Wenqing Sun; Tzu-Liang (Bill) Tseng; Chunqiang Li; Wei Qian 001 (Comput. Medical Imaging Graph., 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)

Distributed Local Bayesian Network for Gene Regulatory Network Reconstruction. - Luxuan Qu; Zhiqiong Wang; Yueyang Huo; Yuezhou Zhou; Junchang Xin; Wei Qian 001 (BigCom, 2020)

A Multi-Label Deep Learning Model with Interpretable Grad-CAM for Diabetic Retinopathy Classification. - Hongyang Jiang 001; Jie Xu 010; Rongjie Shi; Kang Yang; Dongdong Zhang; Mengdi Gao; He Ma; Wei Qian 001 (EMBC, 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)

Tortuosity of Retinal Main and Branching Arterioles, Venules in Patients With Type 2 Diabetes and Diabetic Retinopathy in China. - Shanshan Zhu; Henan Liu; Runyu Du; Dibanda S. Annick; Shuo Chen 005; Wei Qian 001 (IEEE Access, 2020)

Protein structure optimization using improved simulated annealing algorithm on a three-dimensional AB off-lattice model. - Lizhong Zhang; He Ma; Wei Qian 001; Haiyan Li (Comput. Biol. Chem., 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)

Neonatal Fundus Image Registration and Mosaic Using Improved Speeded Up Robust Features Based on Shannon Entropy. - Hongyang Jiang 001; Mengdi Gao; Kang Yang; Dongdong Zhang; He Ma; Wei Qian 001 (EMBC, 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)

Computer-Aided Dementia Diagnosis Based on Hierarchical Extreme Learning Machine. - Zhongyang Wang; Junchang Xin; Zhiqiong Wang; Huizi Gu; Yue Zhao; Wei Qian 001 (Cogn. Comput., 2021)

A Novel Multiresolution-Statistical Texture Analysis Architecture: Radiomics-Aided Diagnosis of PDAC Based on Plain CT Images. - Jia-Jun Qiu; Jin Yin; Wei Qian 001; Jin-Heng Liu; Zi-Xing Huang; Hao-Peng Yu; Lin Ji; Xiao-Xi Zeng (IEEE Trans. Medical Imaging, 2021)

A Survey of Wound Image Analysis Using Deep Learning: Classification, Detection, and Segmentation. - Ruyi Zhang 006; Dingcheng Tian; Dechao Xu; Wei Qian 001; Yudong Yao (IEEE Access, 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)

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)

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)

TOD-Net: Transformer-Based Neural Network for Tiny Object Detection in Sperm Microscopic Videos. - Jiawei Zhang; Shuojia Zou; Chen Li 022; Yudong Yao; Md Mamunur Rahaman; Wei Qian 001; Hongzan Sun; Marcin Grzegorzek; Guojun Wang (ISBI, 2023)

Predicting Protein Structure Using Structural Feature-based Hybrid Genetic Algorithm. - Lizhong Zhang; He Ma; Wei Qian 001; Haiyan Li (ISCSIC, 2023)

MSCA-UNet: Multi-Scale Convolutional Attention UNet for Automatic Cell Counting Using Density Regression. - Like Qian; Wei Qian 001; Dingcheng Tian; Yaqi Zhu; Heng Zhao; Yudong Yao (IEEE Access, 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)

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)

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)

An Attention-Based Deep Learning Network for Predicting Platinum Resistance in Ovarian Cancer. - Haoming Zhuang; Beibei Li; Jingtong Ma; Patrice Monkam; Wei Qian 001; Dianning He (IEEE Access, 2024)

Corrections to "An Attention-Based Deep Learning Network for Predicting Platinum Resistance in Ovarian Cancer". - Haoming Zhuang; Beibei Li; Jingtong Ma; Patrice Monkam; Wei Qian 001; Dianning He (IEEE Access, 2024)

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)

A Novel Perceptual Constrained cycleGAN With Attention Mechanisms for Unsupervised MR-to-CT Synthesis. - Ruiming Zhu; Xinliang Liu; Mingrui Li; Wei Qian 001; Yueyang Teng (Int. J. Imaging Syst. Technol., 2024)

ST-GAN: A Swin Transformer-Based Generative Adversarial Network for Unsupervised Domain Adaptation of Cross-Modality Cardiac Segmentation. - Yifan Zhang; Yonghui Wang; Lisheng Xu; Yudong Yao; Wei Qian 001; Lin Qi 002 (IEEE J. Biomed. Health Informatics, 2024)

Automatic sleep stage classification using deep learning: signals, data representation, and neural networks. - Peng Liu; Wei Qian 001; Hua Zhang; Yabin Zhu; Qi Hong; Qiang Li; Yudong Yao (Artif. Intell. Rev., 2024)

TIG-UDA: Generative unsupervised domain adaptation with transformer-embedded invariance for cross-modality medical image segmentation. - Jiapeng Li; Yijia Chen; Shijie Li; Lisheng Xu; Wei Qian 001; Shuai Tian; Lin Qi 002 (Biomed. Signal Process. Control., 2025)

CITMambaNet: Cross Modality Progressive Fusion ITMamba Network for PET-CT Medical Image Segmentation. - Shikuan Jia; Wei Qian 001; Yueyang Teng (Int. J. Imaging Syst. Technol., 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)