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ORCIDWei Qian 0001
Person information
- affiliation: University of Texas at El Paso, College of Engineering, TX, USA
- affiliation: Northeastern University, Sino-Dutch Biomedical and Information Engineering School, Shenyang, China
- affiliation (former): University of South Florida, College of Medicine, Tampa, FL, USA
Other persons with the same name
- Wei Qian — disambiguation page
- Wei Qian 0002
![[0000-0002-3994-6501]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3994-6501")
— Henan Polytechnic University, School of Electrical Engineering and Automation, China - Wei Qian 0003 — Fabu Inc., Hangzhou, China (and 1 more)
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2020 – today
- 2024
[j48]Haoming Zhuang, Beibei Li, Jingtong Ma, Patrice Monkam, Wei Qian, Dianning He:
An Attention-Based Deep Learning Network for Predicting Platinum Resistance in Ovarian Cancer. IEEE Access 12: 41000-41008 (2024)- [j47]Yifan Zhang, Yonghui Wang, Lisheng Xu, Yudong Yao, Wei Qian, Lin Qi:
ST-GAN: A Swin Transformer-Based Generative Adversarial Network for Unsupervised Domain Adaptation of Cross-Modality Cardiac Segmentation. IEEE J. Biomed. Health Informatics 28(2): 893-904 (2024) - 2023
- [j46]Yanan Wu, Shuiqing Zhao, Shouliang Qi, Jie Feng, Haowen Pang, Runsheng Chang, Long Bai, Mengqi Li, Shuyue Xia, Wei Qian, Hongliang Ren:
Two-stage contextual transformer-based convolutional neural network for airway extraction from CT images. Artif. Intell. Medicine 143: 102637 (2023) - [j45]Haoming Zhuang, Aritrick Chatterjee, Xiaobing Fan, Shouliang Qi, Wei Qian, Dianning He:
A radiomics based method for prediction of prostate cancer Gleason score using enlarged region of interest. BMC Medical Imaging 23(1): 205 (2023) - [j44]Yanan Wu, Ran Du, Jie Feng, Shouliang Qi, Haowen Pang, Shuyue Xia, Wei Qian:
Deep CNN for COPD identification by Multi-View snapshot integration of 3D airway tree and lung field. Biomed. Signal Process. Control. 79(Part): 104162 (2023) - [j43]Meihuan Wang, Shouliang Qi, Yanan Wu, Yu Sun, Runsheng Chang, Haowen Pang, Wei Qian:
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. 82: 104565 (2023) - [j42]Haowen Pang, Shouliang Qi, Yanan Wu, Meihuan Wang, Chen Li, Yu Sun, Wei Qian, Guoyan Tang, Jiaxuan Xu, Zhenyu Liang, Rongchang Chen:
NCCT-CECT image synthesizers and their application to pulmonary vessel segmentation. Comput. Methods Programs Biomed. 231: 107389 (2023) - [j41]Yanan Wu, Haowen Pang, Jing Shen, Shouliang Qi, Jie Feng, Yong Yue, Wei Qian, Jianlin Wu:
Depicting and predicting changes of lung after lobectomy for cancer by using CT images. Medical Biol. Eng. Comput. 61(11): 3049-3066 (2023) - [j40]Yonghui Wang, Yifan Zhang, Lisheng Xu, Shouliang Qi, Yudong Yao, Wei Qian, Stephen E. Greenwald, Lin Qi:
TSP-UDANet: two-stage progressive unsupervised domain adaptation network for automated cross-modality cardiac segmentation. Neural Comput. Appl. 35(30): 22189-22207 (2023) - [c44]Jiawei Zhang, Shuojia Zou, Chen Li, Yudong Yao, Md Mamunur Rahaman, Wei Qian, Hongzan Sun, Marcin Grzegorzek, Guojun Wang:
TOD-Net: Transformer-Based Neural Network for Tiny Object Detection in Sperm Microscopic Videos. ISBI 2023: 1-5 - [c43]Lizhong Zhang, He Ma, Wei Qian, Haiyan Li:
Predicting Protein Structure Using Structural Feature-based Hybrid Genetic Algorithm. ISCSIC 2023: 329-337 - [i2]Haoming Zhuang, Beibei Li, Jingtong Ma, Patrice Monkam, Shouliang Qi, Wei Qian, Dianning He:
An attention-based deep learning network for predicting Platinum resistance in ovarian cancer. CoRR abs/2311.04769 (2023) - 2022
- [j39]Kai Zhang, Shouliang Qi, Jiumei Cai, Dan Zhao, Tao Yu, Yong Yue, Yudong Yao, Wei Qian:
Content-based image retrieval with a Convolutional Siamese Neural Network: Distinguishing lung cancer and tuberculosis in CT images. Comput. Biol. Medicine 140: 105096 (2022) - [j38]Haowen Pang, Yanan Wu, Shouliang Qi, Chen Li, Jing Shen, Yong Yue, Wei Qian, Jianlin Wu:
A fully automatic segmentation pipeline of pulmonary lobes before and after lobectomy from computed tomography images. Comput. Biol. Medicine 147: 105792 (2022) - [j37]Baihua Zhang, Shouliang Qi, Yanan Wu, Xiaohuan Pan, Yudong Yao, Wei Qian, Yubao Guan:
Multi-scale segmentation squeeze-and-excitation UNet with conditional random field for segmenting lung tumor from CT images. Comput. Methods Programs Biomed. 222: 106946 (2022) - [j36]Qiyuan Song, Shouliang Qi, Chaoyang Jin, Lei Yang, Wei Qian, Yi Yin, Houyu Zhao, Hui Yu:
Functional Brain Connections Identify Sensorineural Hearing Loss and Predict the Outcome of Cochlear Implantation. Frontiers Comput. Neurosci. 16: 825160 (2022) - [i1]Yanan Wu, Shuiqing Zhao, Shouliang Qi, Jie Feng, Haowen Pang, Runsheng Chang, Long Bai, Mengqi Li, Shuyue Xia, Wei Qian, Hongliang Ren:
Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images. CoRR abs/2212.07651 (2022) - 2021
- [j35]Yueyang Teng, Shouliang Qi, Fangfang Han, Lisheng Xu, Yudong Yao, Wei Qian:
Two graph-regularized fuzzy subspace clustering methods. Appl. Soft Comput. 100: 106981 (2021) - [j34]Zhongyang Wang, Junchang Xin, Zhiqiong Wang, Huizi Gu, Yue Zhao, Wei Qian:
Computer-Aided Dementia Diagnosis Based on Hierarchical Extreme Learning Machine. Cogn. Comput. 13(1): 34-48 (2021) - [j33]Jia-Jun Qiu, Jin Yin, Wei Qian, Jin-Heng Liu, Zi-Xing Huang, Hao-Peng Yu, Lin Ji, Xiao-Xi Zeng:
A Novel Multiresolution-Statistical Texture Analysis Architecture: Radiomics-Aided Diagnosis of PDAC Based on Plain CT Images. IEEE Trans. Medical Imaging 40(1): 12-25 (2021) - [c42]Hongyang Jiang, Mengdi Gao, Kang Yang, Dongdong Zhang, He Ma, Wei Qian:
Neonatal Fundus Image Registration and Mosaic Using Improved Speeded Up Robust Features Based on Shannon Entropy. EMBC 2021: 3004-3007 - 2020
- [j32]Shanshan Zhu, Henan Liu, Runyu Du, Dibanda S. Annick, Shuo Chen, Wei Qian:
Tortuosity of Retinal Main and Branching Arterioles, Venules in Patients With Type 2 Diabetes and Diabetic Retinopathy in China. IEEE Access 8: 6201-6208 (2020) - [j31]Ran Du, Shouliang Qi, Jie Feng, Shuyue Xia, Yan Kang, Wei Qian, Yu-Dong Yao:
Identification of COPD From Multi-View Snapshots of 3D Lung Airway Tree via Deep CNN. IEEE Access 8: 38907-38919 (2020) - [j30]Lizhong Zhang, He Ma, Wei Qian, Haiyan Li:
Protein structure optimization using improved simulated annealing algorithm on a three-dimensional AB off-lattice model. Comput. Biol. Chem. 85: 107237 (2020) - [j29]Fangfang Han, Linkai Yan, Junxin Chen, Yueyang Teng, Shuo Chen, Shouliang Qi, Wei Qian, Jie Yang, William Moore, Shu Zhang, Zhengrong Liang:
Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning. J. Digit. Imaging 33(3): 685-696 (2020) - [c41]Luxuan Qu, Zhiqiong Wang, Yueyang Huo, Yuezhou Zhou, Junchang Xin, Wei Qian:
Distributed Local Bayesian Network for Gene Regulatory Network Reconstruction. BigCom 2020: 131-139 - [c40]Hongyang Jiang, Jie Xu, Rongjie Shi, Kang Yang, Dongdong Zhang, Mengdi Gao, He Ma, Wei Qian:
A Multi-Label Deep Learning Model with Interpretable Grad-CAM for Diabetic Retinopathy Classification. EMBC 2020: 1560-1563
2010 – 2019
- 2019
- [j28]Patrice Monkam, Shouliang Qi, Mingjie Xu, Haoming Li, Fangfang Han, Yueyang Teng, Wei Qian:
Ensemble Learning of Multiple-View 3D-CNNs Model for Micro-Nodules Identification in CT Images. IEEE Access 7: 5564-5576 (2019) - [j27]Patrice Monkam, Shouliang Qi, He Ma, Weiming Gao, Yu-Dong Yao, Wei Qian:
Detection and Classification of Pulmonary Nodules Using Convolutional Neural Networks: A Survey. IEEE Access 7: 78075-78091 (2019) - [j26]Baihua Zhang, Shouliang Qi, Patrice Monkam, Chen Li, Fan Yang, Yu-Dong Yao, Wei Qian:
Ensemble Learners of Multiple Deep CNNs for Pulmonary Nodules Classification Using CT Images. IEEE Access 7: 110358-110371 (2019) - [j25]Lin Qi, Haoran Zhang, Wenjun Tan, Shouliang Qi, Lisheng Xu, Yudong Yao, Wei Qian:
Cascaded Conditional Generative Adversarial Networks With Multi-Scale Attention Fusion for Automated Bi-Ventricle Segmentation in Cardiac MRI. IEEE Access 7: 172305-172320 (2019) - [j24]Xia Huang, Wenqing Sun, Tzu-Liang (Bill) Tseng, Chunqiang Li, Wei Qian:
Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks. Comput. Medical Imaging Graph. 74: 25-36 (2019) - [j23]Yueyang Teng, Yudong Yao, Shouliang Qi, Chen Li, Lisheng Xu, Wei Qian, Fenglei Fan, Ge Wang:
A novel framework for the NMF methods with experiments to unmixing signals and feature representation. J. Comput. Appl. Math. 362: 205-218 (2019) - [c39]Hongyang Jiang, Kang Yang, Mengdi Gao, Dongdong Zhang, He Ma, Wei Qian:
An Interpretable Ensemble Deep Learning Model for Diabetic Retinopathy Disease Classification. EMBC 2019: 2045-2048 - [c38]He Huang, He Ma, Wei Qian:
Automatic Parallel Detection of Neovascularization from Retinal Images Using Ensemble of Extreme Learning Machine. EMBC 2019: 4712-4716 - [c37]Mengdi Gao, Hongyang Jiang, Dongdong Zhang, He Ma, Wei Qian:
Quantitative pathologic analysis of pulmonary nodules using three-dimensional computed tomography images based on latent Dirichlet allocation. EMBC 2019: 6255-6258 - [c36]Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian, Yuchen Qiu, Bin Zheng:
Association of computer-aided detection results and breast cancer risk. Medical Imaging: Computer-Aided Diagnosis 2019: 109500I - [c35]Fangfang Han, Linkai Yan, Chen Li, Shouliang Qi, William Moore, Zhengrong Liang, Wei Qian:
Predicting unnecessary nodule biopsy for a small lung cancer screening dataset by less-abstractive deep features. Medical Imaging: Computer-Aided Diagnosis 2019: 109503Q - [c34]Xinzhuo Zhao, Wenqing Sun, Wei Qian, Shouliang Qi, Jianjun Sun, Bo Zhang, Zhigang Yang:
Fine-grained lung nodule segmentation with pyramid deconvolutional neural network. Medical Imaging: Computer-Aided Diagnosis 2019: 109503S - [c33]Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Wei Qian, Yuchen Qiu, Bin Zheng:
Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2019: 109520X - 2018
- [j22]Guohui Wei, He Ma, Wei Qian, Fangfang Han, Hongyang Jiang, Shouliang Qi, Min Qiu:
Lung nodule classification using local kernel regression models with out-of-sample extension. Biomed. Signal Process. Control. 40: 1-9 (2018) - [j21]Xinzhuo Zhao, Liyao Liu, Shouliang Qi, Yueyang Teng, Jianhua Li, Wei Qian:
Agile convolutional neural network for pulmonary nodule classification using CT images. Int. J. Comput. Assist. Radiol. Surg. 13(4): 585-595 (2018) - [j20]Wenqing Sun, Tzu-Liang (Bill) Tseng, Wei Qian, Edward C. Saltzstein, Bin Zheng, Hui Yu, Shi Zhou:
A new near-term breast cancer risk prediction scheme based on the quantitative analysis of ipsilateral view mammograms. Comput. Methods Programs Biomed. 155: 29-38 (2018) - [j19]He Huang, He Ma, Han J. W. van Triest, Yinghua Wei, Wei Qian:
Automatic detection of neovascularization in retinal images using extreme learning machine. Neurocomputing 277: 218-227 (2018) - [j18]Guohui Wei, Hui Cao, He Ma, Shouliang Qi, Wei Qian, Zhiqing Ma:
Content-based image retrieval for Lung Nodule Classification Using Texture Features and Learned Distance Metric. J. Medical Syst. 42(1): 13:1-13:7 (2018) - [j17]Shouliang Qi, Baihua Zhang, Yong Yue, Jing Shen, Yueyang Teng, Wei Qian, Jianlin Wu:
Airflow in Tracheobronchial Tree of Subjects with Tracheal Bronchus Simulated Using CT Image Based Models and CFD Method. J. Medical Syst. 42(4): 65 (2018) - [j16]Hongyang Jiang, He Ma, Wei Qian, Mengdi Gao, Yan Li:
An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network. IEEE J. Biomed. Health Informatics 22(4): 1227-1237 (2018) - [c32]Chen Li, Ning Xu, Tao Jiang, Shouliang Qi, Fangfang Han, Wei Qian, Xin Zhao:
A Brief Review for Content-Based Microorganism Image Analysis Using Classical and Deep Neural Networks. ITIB 2018: 3-14 - [c31]Faranak Aghaei, Gopichandh Danala, Yunzhi Wang, Ali Zarafshani, Wei Qian, Hong Liu, Bin Zheng:
Association between mammogram density and background parenchymal enhancement of breast MRI. Medical Imaging: Computer-Aided Diagnosis 2018: 105752O - 2017
- [j15]Wenqing Sun, Bin Zheng, Wei Qian:
Automatic feature learning using multichannel ROI based on deep structured algorithms for computerized lung cancer diagnosis. Comput. Biol. Medicine 89: 530-539 (2017) - [j14]Wenqing Sun, Tzu-Liang (Bill) Tseng, Jianying Zhang, Wei Qian:
Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data. Comput. Medical Imaging Graph. 57: 4-9 (2017) - [j13]Shouliang Qi, Baihua Zhang, Yueyang Teng, Jianhua Li, Yong Yue, Yan Kang, Wei Qian:
Transient Dynamics Simulation of Airflow in a CT-Scanned Human Airway Tree: More or Fewer Terminal Bronchi? Comput. Math. Methods Medicine 2017: 1969023:1-1969023:14 (2017) - [j12]Yueyang Teng, Shouliang Qi, Yin Dai, Lisheng Xu, Wei Qian, Yan Kang:
Semi-supervised Nonnegative Matrix Factorization with Commonness Extraction. Neural Process. Lett. 45(3): 1063-1076 (2017) - [c30]Hongyang Jiang, He Ma, Wei Qian, Guohui Wei, Xinzhuo Zhao, Mengdi Gao:
A novel pixel value space statistics map of the pulmonary nodule for classification in computerized tomography images. EMBC 2017: 556-559 - [c29]Guohui Wei, He Ma, Wei Qian, Hongyang Jiang, Xinzhuo Zhao:
Content-based retrieval for lung nodule diagnosis using learned distance metric. EMBC 2017: 3910-3913 - [c28]Xia Huang, Chunqiang Li, Chuan Xiao, Wenqing Sun, Wei Qian:
A fully-automated multiscale kernel graph cuts based particle localization scheme for temporal focusing two-photon microscopy. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101371I - [c27]Fangfang Han, Bowen Song, He Ma, Wei Qian, Zhengrong Liang:
Risk prediction of small pulmonary nodules based on novel CT image texture markers. Medical Imaging: Computer-Aided Diagnosis 2017: 101343Q - [c26]Wenqing Sun, Xia Huang, Tzu-Liang Bill Tseng, Wei Qian:
Automatic lung nodule graph cuts segmentation with deep learning false positive reduction. Medical Imaging: Computer-Aided Diagnosis 2017: 101343M - [c25]Wenqing Sun, Bin Zheng, Xia Huang, Wei Qian:
Balance the nodule shape and surroundings: a new multichannel image based convolutional neural network scheme on lung nodule diagnosis. Medical Imaging: Computer-Aided Diagnosis 2017: 101343L - 2016
- [j11]Wenqing Sun, Tzu-Liang (Bill) Tseng, Jianying Zhang, Wei Qian:
Computerized breast cancer analysis system using three stage semi-supervised learning method. Comput. Methods Programs Biomed. 135: 77-88 (2016) - [j10]Nastaran Emaminejad, Wei Qian, Yubao Guan, Maxine Tan, Yuchen Qiu, Hong Liu, Bin Zheng:
Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients. IEEE Trans. Biomed. Eng. 63(5): 1034-1043 (2016) - [c24]Wenqing Sun, Tzu-Liang (Bill) Tseng, Bin Zheng, Wei Qian:
A Preliminary Study on Breast Cancer Risk Analysis Using Deep Neural Network. Digital Mammography / IWDM 2016: 385-391 - [c23]Wenqing Sun, Tzu-Liang (Bill) Tseng, Bin Zheng, Jiangying Zhang, Wei Qian:
A Novel Breast Cancer Risk Assessment Scheme Design Using Dual View Mammograms. Digital Mammography / IWDM 2016: 392-399 - [c22]Wenqing Sun, Xia Huang, Chunqiang Li, Chuan Xiao, Wei Qian:
A novel Kalman filter based video image processing scheme for two-photon fluorescence microscopy. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97881I - [c21]Wenqing Sun, Bin Zheng, Wei Qian:
Computer aided lung cancer diagnosis with deep learning algorithms. Medical Imaging: Computer-Aided Diagnosis 2016: 97850Z - [c20]Nastaran Emaminejad, Shiju Yan, Yunzhi Wang, Wei Qian, Yubao Guan, Bin Zheng:
Applying a radiomics approach to predict prognosis of lung cancer patients. Medical Imaging: Computer-Aided Diagnosis 2016: 97851E - [c19]Maxine Tan, Faranak Aghaei, Yunzhi Wang, Wei Qian, Bin Zheng:
Improving the performance of lesion-based computer-aided detection schemes of breast masses using a case-based adaptive cueing method. Medical Imaging: Computer-Aided Diagnosis 2016: 97851V - [c18]Wenqing Sun, Xia Huang, Tzu-Liang Tseng, Jianying Zhang, Wei Qian:
Computerized lung cancer malignancy level analysis using 3D texture features. Medical Imaging: Computer-Aided Diagnosis 2016: 978538 - 2015
- [j9]Miao He, Teresa Wu, Alvin C. Silva, Dianna-Yue Zhao, Wei Qian:
Augmenting cost-SVM with gaussian mixture models for imbalanced classification. Artif. Intell. Res. 4(2): 93-105 (2015) - [j8]Miao He, Jeffery D. Weir, Teresa Wu, Alvin C. Silva, Dianna-Yue Zhao, Wei Qian:
K Nearest Gaussian-A model fusion based framework for imbalanced classification with noisy dataset. Artif. Intell. Res. 4(2): 126-135 (2015) - [c17]Huaxia Wang, Yu-Dong Yao, Wei Qian, Fleming Lure:
Applying matrix factorization in data reconstruction for heart disease patient classification. HealthCom 2015: 245-249 - [c16]Nastaran Emaminejad, Wei Qian, Yan Kang, Yubao Guan, Fleming Lure, Bin Zheng:
Exploring new quantitative CT image features to improve assessment of lung cancer prognosis. Medical Imaging: Computer-Aided Diagnosis 2015: 94141M - [c15]Wenqing Sun, Tzu-Liang Bill Tseng, Bin Zheng, Jianying Zhang, Wei Qian:
A new breast cancer risk analysis approach using features extracted from multiple sub-regions on bilateral mammograms. Medical Imaging: Computer-Aided Diagnosis 2015: 941422 - [c14]Bin Zheng, Wei Qian, Lihua Li, Jiantao Pu, Yan Kang, Fleming Lure, Maxine Tan, Yuchen Qiu:
A new CAD approach for improving efficacy of cancer screening. Medical Imaging: Computer-Aided Diagnosis 2015: 941424 - 2014
- [j7]Wenqing Sun, Bin Zheng, Fleming Lure, Teresa Wu, Jianying Zhang, Benjamin Y. Wang, Edward C. Saltzstein, Wei Qian:
Prediction of near-term risk of developing breast cancer using computerized features from bilateral mammograms. Comput. Medical Imaging Graph. 38(5): 348-357 (2014) - [c13]Wenqing Sun, Tzu-Liang Tseng, Bin Zheng, Fleming Lure, Teresa Wu, Giulio Francia, Sergio Cabrera, Jianying Zhang, Miguel Vélez-Reyes, Wei Qian:
Using undiagnosed data to enhance computerized breast cancer analysis with a three stage data labeling method. Medical Imaging: Computer-Aided Diagnosis 2014: 90350T - 2012
- [c12]Dansheng Song, Tatyana Zhukov, Olga Markov, Wei Qian, Melvyn S. Tockman:
Prognosis of stage I lung cancer patients through quantitative analysis of centrosomal features. ISBI 2012: 1607-1610 - 2010
- [c11]Ravi K. Samala, Tatyana Zhukov, Jianying Zhang, Melvyn Tockman, Wei Qian:
Combinational feature optimization for classification of lung tissue images. Medical Imaging: Computer-Aided Diagnosis 2010: 76240Z - [c10]Akshay Pai, Ravi K. Samala, Jianying Zhang, Wei Qian:
Similarity based false-positive reduction for breast cancer using radiographic and pathologic imaging features. Medical Imaging: Computer-Aided Diagnosis 2010: 76242G
2000 – 2009
- 2009
- [c9]Ravi K. Samala, Wilfrido Alejandro Moreno, Dansheng Song, Yuncheng You, Wei Qian:
Knowledge based optimum feature selection for lung nodule diagnosis on thin section thoracic CT. Medical Imaging: Computer-Aided Diagnosis 2009: 726036 - 2000
- [c8]Yang Zheng, Lihua Li, Maria Kallergi, Wei Qian, Robert A. Clark:
Improved method for automatic identification of lung regions in chest radiographs. Medical Imaging: Image Processing 2000
1990 – 1999
- 1999
- [c7]Lihua Li, Wei Qian, Laurence P. Clarke, Robert A. Clark, Jerry A. Thomas:
Improving mass detection by adaptive and multiscale processing in digitized mammograms. Medical Imaging: Image Processing 1999 - 1998
- [j6]Wei Qian, Huai-Dong Li, Maria Kallergi, Dansheng Song, Laurence P. Clarke:
Adaptive Neural Network for Nuclear Medicine Image Restoration. J. VLSI Signal Process. 18(3): 297-315 (1998) - [c6]Wei Qian, Lihua Li, Laurence P. Clarke, Fei Mao, Robert A. Clark, Jerry A. Thomas:
A Computer Assisted Diagnostic System for Mass Detection. Digital Mammography / IWDM 1998: 79-86 - [c5]Lihua Li, Wei Qian, Laurence P. Clarke:
Image feature extraction for mass detection in digital mammography: effects of wavelet analysis. Medical Imaging: Image Processing 1998 - 1997
- [c4]Lihua Li, Fei Mao, Wei Qian, Laurence P. Clarke:
Wavelet transform for directional feature extraction in medical imaging. ICIP (3) 1997: 500-503 - 1996
- [j5]Wei Qian, Laurence P. Clarke:
Wavelet-based neural network with fuzzy-logic adaptivity for nuclear image restoration. Proc. IEEE 84(10): 1458-1473 (1996) - [j4]Baoyu Zheng, Wei Qian, Laurence P. Clarke:
Digital mammography: mixed feature neural network with spectral entropy decision for detection of microcalcifications. IEEE Trans. Medical Imaging 15(5): 589-597 (1996) - [c3]Lihua Li, Wei Qian, Laurence P. Clarke:
X-ray medical image processing using directional wavelet transform. ICASSP 1996: 2251-2254 - 1994
- [j3]Bradley J. Lucier, Maria Kallergi, Wei Qian, Ronald A. DeVore, Robert A. Clark, Edward B. Saff, Laurence P. Clarke:
Wavelet compression and segmentation of digital mammograms. J. Digit. Imaging 7(1): 27-38 (1994) - [j2]Wei Qian, Laurence P. Clarke, Maria Kallergi, Robert A. Clark:
Tree-structured nonlinear filters in digital mammography. IEEE Trans. Medical Imaging 13(1): 25-36 (1994) - [c2]Wei Qian, Laurence P. Clarke:
Adaptive Multistage Nonlinear Filtering and Wavelet for Medical Image Enhancement. ICIP (3) 1994: 711-715 - 1993
- [j1]Wei Qian, Maria Kallergi, Laurence P. Clarke:
Order statistic-neural network hybrid filters for gamma camera-bremsstrahlung image restoration. IEEE Trans. Medical Imaging 12(1): 58-64 (1993) - [c1]Huai-Dong Li, Wei Qian, Laurence P. Clarke, Maria Kallergi:
Neural network for maximum entropy restoration of nuclear medicine images. ICASSP (1) 1993: 633-636
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