Wei Qian - RankMe

110 papers B 3C 1Misc 1Journal 64Unranked 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Pearson Correlation Coefficient-Guided Dynamic Supervision and Dual-Attention Network for MR-to-CT Image Synthesis. Int. J. Imaging Syst. Technol. Ruiming Zhu, Xinliang Liu, Yin Dai, Wei Qian, Yueyang Teng
2025	J	`jnl`	A Self-training Framework for Semi-supervised Pulmonary Vessel Segmentation and Its Application in COPD. CoRR Shuiqing Zhao, Meihuan Wang, Jiaxuan Xu, Jie Feng, Wei Qian, Rongchang Chen, Zhenyu Liang, Shouliang Qi, Yanan Wu
2025	J	`jnl`	A3-DualUD: Source-free unsupervised domain adaptation via anatomical anchor alignment and dual-path uncertainty denoising for cross-modality medical image segmentation. Comput. Methods Programs Biomed. Jie Zhou, Yulong Shi, Lin Qi, Xue Jiang, Shouliang Qi, Wei Qian
2025	J	`jnl`	Advancements in Epidemic Transmission Suppression: A Comprehensive Survey. IEEE Trans. Netw. Sci. Eng. Lili Tong, Shan Zhang, Hao Sun, Yuliang Cai, Jiawei Zhang, Wei Qian, Qingchao Zhang, Qiang He, Junxin Chen, Jia Li
2025	J	`jnl`	CITMambaNet: Cross Modality Progressive Fusion ITMamba Network for PET-CT Medical Image Segmentation. Int. J. Imaging Syst. Technol. Shikuan Jia, Wei Qian, Yueyang Teng
2025	J	`jnl`	Enhancing Lesion Segmentation in Ultrasound Images: The Impact of Targeted Data Augmentation Strategies. Int. J. Biomed. Imaging Xu Wang, Patrice Monkam, Bonan Zhao, Shouliang Qi, He Ma, Long Huang, Wei Qian
2025	—	`conf`	Region-Aware Diagnosis of Clinically Significant Prostate Cancer via Semi-supervised Learning Segmentation. CMMCA@MICCAI Guantian Huang, Shouliang Qi, Wei Qian, Xin Shi, Dianning He
2025	J	`jnl`	TIG-UDA: Generative unsupervised domain adaptation with transformer-embedded invariance for cross-modality medical image segmentation. Biomed. Signal Process. Control. Jiapeng Li, Yijia Chen, Shijie Li, Lisheng Xu, Wei Qian, Shuai Tian, Lin Qi
2024	J	`jnl`	A Novel Perceptual Constrained cycleGAN With Attention Mechanisms for Unsupervised MR-to-CT Synthesis. Int. J. Imaging Syst. Technol. Ruiming Zhu, Xinliang Liu, Mingrui Li, Wei Qian, Yueyang Teng
2024	J	`jnl`	An Attention-Based Deep Learning Network for Predicting Platinum Resistance in Ovarian Cancer. IEEE Access Haoming Zhuang, Beibei Li, Jingtong Ma, Patrice Monkam, Wei Qian, Dianning He
2024	J	`jnl`	Automatic sleep stage classification using deep learning: signals, data representation, and neural networks. Artif. Intell. Rev. Peng Liu, Wei Qian, Hua Zhang, Yabin Zhu, Qi Hong, Qiang Li, Yudong Yao
2024	J	`jnl`	Corrections to "An Attention-Based Deep Learning Network for Predicting Platinum Resistance in Ovarian Cancer". IEEE Access Haoming Zhuang, Beibei Li, Jingtong Ma, Patrice Monkam, Wei Qian, Dianning He
2024	J	`jnl`	FPT-Former: A Flexible Parallel Transformer of Recognizing Depression by Using Audiovisual Expert-Knowledge-Based Multimodal Measures. Int. J. Intell. Syst. Yifu Li, Xueping Yang, Meng Zhao, Zihao Wang, Yudong Yao, Wei Qian, Shouliang Qi
2024	J	`jnl`	MCICSAM: Monte Carlo-guided Interpolation Consistency Segment Anything Model for Semi-Supervised Prostate Zone Segmentation. CoRR Guantian Huang, Beibei Li, Xiaobing Fan, Aritrick Chatterjee, Cheng Wei, Shouliang Qi, Wei Qian, Dianning He
2024	J	`jnl`	ST-GAN: A Swin Transformer-Based Generative Adversarial Network for Unsupervised Domain Adaptation of Cross-Modality Cardiac Segmentation. IEEE J. Biomed. Health Informatics Yifan Zhang, Yonghui Wang, Lisheng Xu, Yudong Yao, Wei Qian, Lin Qi
2023	J	`jnl`	A radiomics based method for prediction of prostate cancer Gleason score using enlarged region of interest. BMC Medical Imaging Haoming Zhuang, Aritrick Chatterjee, Xiaobing Fan, Shouliang Qi, Wei Qian, Dianning He
2023	J	`jnl`	An attention-based deep learning network for predicting Platinum resistance in ovarian cancer. CoRR Haoming Zhuang, Beibei Li, Jingtong Ma, Patrice Monkam, Shouliang Qi, Wei Qian, Dianning He
2023	J	`jnl`	CE-NC-VesselSegNet: Supervised by contrast-enhanced CT images but utilized to segment pulmonary vessels from non-contrast-enhanced CT images. Biomed. Signal Process. Control. Meihuan Wang, Shouliang Qi, Yanan Wu, Yu Sun, Runsheng Chang, Haowen Pang, Wei Qian
2023	J	`jnl`	Deep CNN for COPD identification by Multi-View snapshot integration of 3D airway tree and lung field. Biomed. Signal Process. Control. Yanan Wu, Ran Du, Jie Feng, Shouliang Qi, Haowen Pang, Shuyue Xia, Wei Qian
2023	J	`jnl`	Depicting and predicting changes of lung after lobectomy for cancer by using CT images. Medical Biol. Eng. Comput. Yanan Wu, Haowen Pang, Jing Shen, Shouliang Qi, Jie Feng, Yong Yue, Wei Qian, Jianlin Wu
2023	J	`jnl`	MSCA-UNet: Multi-Scale Convolutional Attention UNet for Automatic Cell Counting Using Density Regression. IEEE Access Like Qian, Wei Qian, Dingcheng Tian, Yaqi Zhu, Heng Zhao, Yudong Yao
2023	J	`jnl`	NCCT-CECT image synthesizers and their application to pulmonary vessel segmentation. Comput. Methods Programs Biomed. Haowen Pang, Shouliang Qi, Yanan Wu, Meihuan Wang, Chen Li, Yu Sun, Wei Qian, Guoyan Tang, Jiaxuan Xu, Zhenyu Liang, Rongchang Chen
2023	—	`conf`	Predicting Protein Structure Using Structural Feature-based Hybrid Genetic Algorithm. ISCSIC Lizhong Zhang, He Ma, Wei Qian, Haiyan Li
2023	—	`conf`	TOD-Net: Transformer-Based Neural Network for Tiny Object Detection in Sperm Microscopic Videos. ISBI Jiawei Zhang, Shuojia Zou, Chen Li, Yudong Yao, Md Mamunur Rahaman, Wei Qian, Hongzan Sun, Marcin Grzegorzek, Guojun Wang
2023	J	`jnl`	TSP-UDANet: two-stage progressive unsupervised domain adaptation network for automated cross-modality cardiac segmentation. Neural Comput. Appl. Yonghui Wang, Yifan Zhang, Lisheng Xu, Shouliang Qi, Yudong Yao, Wei Qian, Stephen E. Greenwald, Lin Qi
2023	J	`jnl`	Two-stage contextual transformer-based convolutional neural network for airway extraction from CT images. Artif. Intell. Medicine Yanan Wu, Shuiqing Zhao, Shouliang Qi, Jie Feng, Haowen Pang, Runsheng Chang, Long Bai, Mengqi Li, Shuyue Xia, Wei Qian, Hongliang Ren
2022	J	`jnl`	A Survey of Wound Image Analysis Using Deep Learning: Classification, Detection, and Segmentation. IEEE Access Ruyi Zhang, Dingcheng Tian, Dechao Xu, Wei Qian, Yudong Yao
2022	J	`jnl`	A fully automatic segmentation pipeline of pulmonary lobes before and after lobectomy from computed tomography images. Comput. Biol. Medicine Haowen Pang, Yanan Wu, Shouliang Qi, Chen Li, Jing Shen, Yong Yue, Wei Qian, Jianlin Wu
2022	J	`jnl`	Content-based image retrieval with a Convolutional Siamese Neural Network: Distinguishing lung cancer and tuberculosis in CT images. Comput. Biol. Medicine Kai Zhang, Shouliang Qi, Jiumei Cai, Dan Zhao, Tao Yu, Yong Yue, Yudong Yao, Wei Qian
2022	J	`jnl`	Functional Brain Connections Identify Sensorineural Hearing Loss and Predict the Outcome of Cochlear Implantation. Frontiers Comput. Neurosci. Qiyuan Song, Shouliang Qi, Chaoyang Jin, Lei Yang, Wei Qian, Yi Yin, Houyu Zhao, Hui Yu
2022	J	`jnl`	Multi-scale segmentation squeeze-and-excitation UNet with conditional random field for segmenting lung tumor from CT images. Comput. Methods Programs Biomed. Baihua Zhang, Shouliang Qi, Yanan Wu, Xiaohuan Pan, Yudong Yao, Wei Qian, Yubao Guan
2022	J	`jnl`	Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images. CoRR Yanan Wu, Shuiqing Zhao, Shouliang Qi, Jie Feng, Haowen Pang, Runsheng Chang, Long Bai, Mengqi Li, Shuyue Xia, Wei Qian, Hongliang Ren
2021	J	`jnl`	A Novel Multiresolution-Statistical Texture Analysis Architecture: Radiomics-Aided Diagnosis of PDAC Based on Plain CT Images. IEEE Trans. Medical Imaging Jia-Jun Qiu, Jin Yin, Wei Qian, Jin-Heng Liu, Zi-Xing Huang, Hao-Peng Yu, Lin Ji, Xiao-Xi Zeng
2021	J	`jnl`	Computer-Aided Dementia Diagnosis Based on Hierarchical Extreme Learning Machine. Cogn. Comput. Zhongyang Wang, Junchang Xin, Zhiqiong Wang, Huizi Gu, Yue Zhao, Wei Qian
2021	—	`conf`	Neonatal Fundus Image Registration and Mosaic Using Improved Speeded Up Robust Features Based on Shannon Entropy. EMBC Hongyang Jiang, Mengdi Gao, Kang Yang, Dongdong Zhang, He Ma, Wei Qian
2021	J	`jnl`	Two graph-regularized fuzzy subspace clustering methods. Appl. Soft Comput. Yueyang Teng, Shouliang Qi, Fangfang Han, Lisheng Xu, Yudong Yao, Wei Qian
2020	—	`conf`	A Multi-Label Deep Learning Model with Interpretable Grad-CAM for Diabetic Retinopathy Classification. EMBC Hongyang Jiang, Jie Xu, Rongjie Shi, Kang Yang, Dongdong Zhang, Mengdi Gao, He Ma, Wei Qian
2020	—	`conf`	Distributed Local Bayesian Network for Gene Regulatory Network Reconstruction. BigCom Luxuan Qu, Zhiqiong Wang, Yueyang Huo, Yuezhou Zhou, Junchang Xin, Wei Qian
2020	J	`jnl`	Identification of COPD From Multi-View Snapshots of 3D Lung Airway Tree via Deep CNN. IEEE Access Ran Du, Shouliang Qi, Jie Feng, Shuyue Xia, Yan Kang, Wei Qian, Yu-Dong Yao
2020	J	`jnl`	Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning. J. Digit. Imaging Fangfang Han, Linkai Yan, Junxin Chen, Yueyang Teng, Shuo Chen, Shouliang Qi, Wei Qian, Jie Yang, William Moore, Shu Zhang, Zhengrong Liang
2020	J	`jnl`	Protein structure optimization using improved simulated annealing algorithm on a three-dimensional AB off-lattice model. Comput. Biol. Chem. Lizhong Zhang, He Ma, Wei Qian, Haiyan Li
2020	J	`jnl`	Tortuosity of Retinal Main and Branching Arterioles, Venules in Patients With Type 2 Diabetes and Diabetic Retinopathy in China. IEEE Access Shanshan Zhu, Henan Liu, Runyu Du, Dibanda S. Annick, Shuo Chen, Wei Qian
2019	J	`jnl`	A novel framework for the NMF methods with experiments to unmixing signals and feature representation. J. Comput. Appl. Math. Yueyang Teng, Yudong Yao, Shouliang Qi, Chen Li, Lisheng Xu, Wei Qian, Fenglei Fan, Ge Wang
2019	—	`conf`	An Interpretable Ensemble Deep Learning Model for Diabetic Retinopathy Disease Classification. EMBC Hongyang Jiang, Kang Yang, Mengdi Gao, Dongdong Zhang, He Ma, Wei Qian
2019	—	`conf`	Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction. Image Perception, Observer Performance, and Technology Assessment Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Wei Qian, Yuchen Qiu, Bin Zheng
2019	—	`conf`	Association of computer-aided detection results and breast cancer risk. Computer-Aided Diagnosis Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian, Yuchen Qiu, Bin Zheng
2019	—	`conf`	Automatic Parallel Detection of Neovascularization from Retinal Images Using Ensemble of Extreme Learning Machine. EMBC He Huang, He Ma, Wei Qian
2019	J	`jnl`	Cascaded Conditional Generative Adversarial Networks With Multi-Scale Attention Fusion for Automated Bi-Ventricle Segmentation in Cardiac MRI. IEEE Access Lin Qi, Haoran Zhang, Wenjun Tan, Shouliang Qi, Lisheng Xu, Yudong Yao, Wei Qian
2019	J	`jnl`	Detection and Classification of Pulmonary Nodules Using Convolutional Neural Networks: A Survey. IEEE Access Patrice Monkam, Shouliang Qi, He Ma, Weiming Gao, Yu-Dong Yao, Wei Qian
2019	J	`jnl`	Ensemble Learners of Multiple Deep CNNs for Pulmonary Nodules Classification Using CT Images. IEEE Access Baihua Zhang, Shouliang Qi, Patrice Monkam, Chen Li, Fan Yang, Yu-Dong Yao, Wei Qian
2019	J	`jnl`	Ensemble Learning of Multiple-View 3D-CNNs Model for Micro-Nodules Identification in CT Images. IEEE Access Patrice Monkam, Shouliang Qi, Mingjie Xu, Haoming Li, Fangfang Han, Yueyang Teng, Wei Qian
2019	J	`jnl`	Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks. Comput. Medical Imaging Graph. Xia Huang, Wenqing Sun, Tzu-Liang (Bill) Tseng, Chunqiang Li, Wei Qian
2019	—	`conf`	Fine-grained lung nodule segmentation with pyramid deconvolutional neural network. Computer-Aided Diagnosis Xinzhuo Zhao, Wenqing Sun, Wei Qian, Shouliang Qi, Jianjun Sun, Bo Zhang, Zhigang Yang
2019	—	`conf`	Predicting unnecessary nodule biopsy for a small lung cancer screening dataset by less-abstractive deep features. Computer-Aided Diagnosis Fangfang Han, Linkai Yan, Chen Li, Shouliang Qi, William Moore, Zhengrong Liang, Wei Qian
2019	—	`conf`	Quantitative pathologic analysis of pulmonary nodules using three-dimensional computed tomography images based on latent Dirichlet allocation. EMBC Mengdi Gao, Hongyang Jiang, Dongdong Zhang, He Ma, Wei Qian
2018	—	`conf`	A Brief Review for Content-Based Microorganism Image Analysis Using Classical and Deep Neural Networks. ITIB Chen Li, Ning Xu, Tao Jiang, Shouliang Qi, Fangfang Han, Wei Qian, Xin Zhao
2018	J	`jnl`	A new near-term breast cancer risk prediction scheme based on the quantitative analysis of ipsilateral view mammograms. Comput. Methods Programs Biomed. Wenqing Sun, Tzu-Liang (Bill) Tseng, Wei Qian, Edward C. Saltzstein, Bin Zheng, Hui Yu, Shi Zhou
2018	J	`jnl`	Agile convolutional neural network for pulmonary nodule classification using CT images. Int. J. Comput. Assist. Radiol. Surg. Xinzhuo Zhao, Liyao Liu, Shouliang Qi, Yueyang Teng, Jianhua Li, Wei Qian
2018	J	`jnl`	Airflow in Tracheobronchial Tree of Subjects with Tracheal Bronchus Simulated Using CT Image Based Models and CFD Method. J. Medical Syst. Shouliang Qi, Baihua Zhang, Yong Yue, Jing Shen, Yueyang Teng, Wei Qian, Jianlin Wu
2018	J	`jnl`	An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network. IEEE J. Biomed. Health Informatics Hongyang Jiang, He Ma, Wei Qian, Mengdi Gao, Yan Li
2018	—	`conf`	Association between mammogram density and background parenchymal enhancement of breast MRI. Computer-Aided Diagnosis Faranak Aghaei, Gopichandh Danala, Yunzhi Wang, Ali Zarafshani, Wei Qian, Hong Liu, Bin Zheng
2018	J	`jnl`	Automatic detection of neovascularization in retinal images using extreme learning machine. Neurocomputing He Huang, He Ma, Han J. W. van Triest, Yinghua Wei, Wei Qian
2018	J	`jnl`	Content-based image retrieval for Lung Nodule Classification Using Texture Features and Learned Distance Metric. J. Medical Syst. Guohui Wei, Hui Cao, He Ma, Shouliang Qi, Wei Qian, Zhiqing Ma
2018	J	`jnl`	Lung nodule classification using local kernel regression models with out-of-sample extension. Biomed. Signal Process. Control. Guohui Wei, He Ma, Wei Qian, Fangfang Han, Hongyang Jiang, Shouliang Qi, Min Qiu
2017	—	`conf`	A fully-automated multiscale kernel graph cuts based particle localization scheme for temporal focusing two-photon microscopy. Biomedical Applications in Molecular, Structural, and Functional Imaging Xia Huang, Chunqiang Li, Chuan Xiao, Wenqing Sun, Wei Qian
2017	—	`conf`	A novel pixel value space statistics map of the pulmonary nodule for classification in computerized tomography images. EMBC Hongyang Jiang, He Ma, Wei Qian, Guohui Wei, Xinzhuo Zhao, Mengdi Gao
2017	J	`jnl`	Automatic feature learning using multichannel ROI based on deep structured algorithms for computerized lung cancer diagnosis. Comput. Biol. Medicine Wenqing Sun, Bin Zheng, Wei Qian
2017	—	`conf`	Automatic lung nodule graph cuts segmentation with deep learning false positive reduction. Computer-Aided Diagnosis Wenqing Sun, Xia Huang, Tzu-Liang Bill Tseng, Wei Qian
2017	—	`conf`	Balance the nodule shape and surroundings: a new multichannel image based convolutional neural network scheme on lung nodule diagnosis. Computer-Aided Diagnosis Wenqing Sun, Bin Zheng, Xia Huang, Wei Qian
2017	—	`conf`	Content-based retrieval for lung nodule diagnosis using learned distance metric. EMBC Guohui Wei, He Ma, Wei Qian, Hongyang Jiang, Xinzhuo Zhao
2017	J	`jnl`	Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data. Comput. Medical Imaging Graph. Wenqing Sun, Tzu-Liang (Bill) Tseng, Jianying Zhang, Wei Qian
2017	—	`conf`	Risk prediction of small pulmonary nodules based on novel CT image texture markers. Computer-Aided Diagnosis Fangfang Han, Bowen Song, He Ma, Wei Qian, Zhengrong Liang
2017	J	`jnl`	Semi-supervised Nonnegative Matrix Factorization with Commonness Extraction. Neural Process. Lett. Yueyang Teng, Shouliang Qi, Yin Dai, Lisheng Xu, Wei Qian, Yan Kang
2017	J	`jnl`	Transient Dynamics Simulation of Airflow in a CT-Scanned Human Airway Tree: More or Fewer Terminal Bronchi? Comput. Math. Methods Medicine Shouliang Qi, Baihua Zhang, Yueyang Teng, Jianhua Li, Yong Yue, Yan Kang, Wei Qian
2016	—	`conf`	A Novel Breast Cancer Risk Assessment Scheme Design Using Dual View Mammograms. Digital Mammography / IWDM Wenqing Sun, Tzu-Liang (Bill) Tseng, Bin Zheng, Jiangying Zhang, Wei Qian
2016	—	`conf`	A Preliminary Study on Breast Cancer Risk Analysis Using Deep Neural Network. Digital Mammography / IWDM Wenqing Sun, Tzu-Liang (Bill) Tseng, Bin Zheng, Wei Qian
2016	—	`conf`	A novel Kalman filter based video image processing scheme for two-photon fluorescence microscopy. Biomedical Applications in Molecular, Structural, and Functional Imaging Wenqing Sun, Xia Huang, Chunqiang Li, Chuan Xiao, Wei Qian
2016	—	`conf`	Applying a radiomics approach to predict prognosis of lung cancer patients. Computer-Aided Diagnosis Nastaran Emaminejad, Shiju Yan, Yunzhi Wang, Wei Qian, Yubao Guan, Bin Zheng
2016	—	`conf`	Computer aided lung cancer diagnosis with deep learning algorithms. Computer-Aided Diagnosis Wenqing Sun, Bin Zheng, Wei Qian
2016	J	`jnl`	Computerized breast cancer analysis system using three stage semi-supervised learning method. Comput. Methods Programs Biomed. Wenqing Sun, Tzu-Liang (Bill) Tseng, Jianying Zhang, Wei Qian
2016	—	`conf`	Computerized lung cancer malignancy level analysis using 3D texture features. Computer-Aided Diagnosis Wenqing Sun, Xia Huang, Tzu-Liang Tseng, Jianying Zhang, Wei Qian
2016	J	`jnl`	Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients. IEEE Trans. Biomed. Eng. Nastaran Emaminejad, Wei Qian, Yubao Guan, Maxine Tan, Yuchen Qiu, Hong Liu, Bin Zheng
2016	—	`conf`	Improving the performance of lesion-based computer-aided detection schemes of breast masses using a case-based adaptive cueing method. Computer-Aided Diagnosis Maxine Tan, Faranak Aghaei, Yunzhi Wang, Wei Qian, Bin Zheng
2016	—	`conf`	Noninvasive estimation of pressure difference of left and right ventricle based on young - Laplace model. ICIA Hongyu Kang, Jun Liu, Lisheng Xu, Wenlong Lv, Wei Qian, Jun Liu, Benqiang Yang, Mingyu Zou
2015	—	`conf`	A new CAD approach for improving efficacy of cancer screening. Computer-Aided Diagnosis Bin Zheng, Wei Qian, Lihua Li, Jiantao Pu, Yan Kang, Fleming Lure, Maxine Tan, Yuchen Qiu
2015	—	`conf`	A new breast cancer risk analysis approach using features extracted from multiple sub-regions on bilateral mammograms. Computer-Aided Diagnosis Wenqing Sun, Tzu-Liang Bill Tseng, Bin Zheng, Jianying Zhang, Wei Qian
2015	C	`conf`	Applying matrix factorization in data reconstruction for heart disease patient classification. HealthCom Huaxia Wang, Yu-Dong Yao, Wei Qian, Fleming Lure
2015	J	`jnl`	Augmenting cost-SVM with gaussian mixture models for imbalanced classification. Artif. Intell. Res. Miao He, Teresa Wu, Alvin C. Silva, Dianna-Yue Zhao, Wei Qian
2015	—	`conf`	Exploring new quantitative CT image features to improve assessment of lung cancer prognosis. Computer-Aided Diagnosis Nastaran Emaminejad, Wei Qian, Yan Kang, Yubao Guan, Fleming Lure, Bin Zheng
2015	J	`jnl`	K Nearest Gaussian-A model fusion based framework for imbalanced classification with noisy dataset. Artif. Intell. Res. Miao He, Jeffery D. Weir, Teresa Wu, Alvin C. Silva, Dianna-Yue Zhao, Wei Qian
2014	J	`jnl`	Prediction of near-term risk of developing breast cancer using computerized features from bilateral mammograms. Comput. Medical Imaging Graph. Wenqing Sun, Bin Zheng, Fleming Lure, Teresa Wu, Jianying Zhang, Benjamin Y. Wang, Edward C. Saltzstein, Wei Qian
2014	—	`conf`	Using undiagnosed data to enhance computerized breast cancer analysis with a three stage data labeling method. Computer-Aided Diagnosis Wenqing Sun, Tzu-Liang Tseng, Bin Zheng, Fleming Lure, Teresa Wu, Giulio Francia, Sergio Cabrera, Jianying Zhang, Miguel Vélez-Reyes, Wei Qian
2012	—	`conf`	Prognosis of stage I lung cancer patients through quantitative analysis of centrosomal features. ISBI Dansheng Song, Tatyana Zhukov, Olga Markov, Wei Qian, Melvyn S. Tockman
2010	—	`conf`	Combinational feature optimization for classification of lung tissue images. Computer-Aided Diagnosis Ravi K. Samala, Tatyana Zhukov, Jianying Zhang, Melvyn Tockman, Wei Qian
2010	—	`conf`	Similarity based false-positive reduction for breast cancer using radiographic and pathologic imaging features. Computer-Aided Diagnosis Akshay Pai, Ravi K. Samala, Jianying Zhang, Wei Qian
2009	—	`conf`	Knowledge based optimum feature selection for lung nodule diagnosis on thin section thoracic CT. Computer-Aided Diagnosis Ravi K. Samala, Wilfrido Alejandro Moreno, Dansheng Song, Yuncheng You, Wei Qian
2000	B	`conf`	Improved method for automatic identification of lung regions in chest radiographs. Image Processing Yang Zheng, Lihua Li, Maria Kallergi, Wei Qian, Robert A. Clark
1999	B	`conf`	Improving mass detection by adaptive and multiscale processing in digitized mammograms. Image Processing Lihua Li, Wei Qian, Laurence P. Clarke, Robert A. Clark, Jerry A. Thomas
1998	—	`conf`	A Computer Assisted Diagnostic System for Mass Detection. Digital Mammography / IWDM Wei Qian, Lihua Li, Laurence P. Clarke, Fei Mao, Robert A. Clark, Jerry A. Thomas
1998	J	`jnl`	Adaptive Neural Network for Nuclear Medicine Image Restoration. J. VLSI Signal Process. Wei Qian, Huai-Dong Li, Maria Kallergi, Dansheng Song, Laurence P. Clarke
1998	B	`conf`	Image feature extraction for mass detection in digital mammography: effects of wavelet analysis. Image Processing Lihua Li, Wei Qian, Laurence P. Clarke
1997	—	`conf`	Wavelet transform for directional feature extraction in medical imaging. ICIP (3) Lihua Li, Fei Mao, Wei Qian, Laurence P. Clarke
1996	J	`jnl`	Digital mammography: mixed feature neural network with spectral entropy decision for detection of microcalcifications. IEEE Trans. Medical Imaging Baoyu Zheng, Wei Qian, Laurence P. Clarke
1996	J	`jnl`	Wavelet-based neural network with fuzzy-logic adaptivity for nuclear image restoration. Proc. IEEE Wei Qian, Laurence P. Clarke
1996	Misc	`conf`	X-ray medical image processing using directional wavelet transform. ICASSP Lihua Li, Wei Qian, Laurence P. Clarke
1994	—	`conf`	Adaptive Multistage Nonlinear Filtering and Wavelet for Medical Image Enhancement. ICIP (3) Wei Qian, Laurence P. Clarke
1994	J	`jnl`	Tree-structured nonlinear filters in digital mammography. IEEE Trans. Medical Imaging Wei Qian, Laurence P. Clarke, Maria Kallergi, Robert A. Clark
1994	J	`jnl`	Wavelet compression and segmentation of digital mammograms. J. Digit. Imaging Bradley J. Lucier, Maria Kallergi, Wei Qian, Ronald A. DeVore, Robert A. Clark, Edward B. Saff, Laurence P. Clarke
1993	—	`conf`	Neural network for maximum entropy restoration of nuclear medicine images. ICASSP (1) Huai-Dong Li, Wei Qian, Laurence P. Clarke, Maria Kallergi
1993	J	`jnl`	Order statistic-neural network hybrid filters for gamma camera-bremsstrahlung image restoration. IEEE Trans. Medical Imaging Wei Qian, Maria Kallergi, Laurence P. Clarke