W. Qian

L. Clarke, W. Qian, 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

Quantification of hepatic steatosis in histologic images by deep learning method.

W. Qian, Shi Zhou, Pinggui Lei, 2019, Journal of X-ray science and technology.

Adaptive CAD modules for mass detection in digital mammography

Lihua Li, Wei Qian, Laurence P. Clarke, 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

A novel Kalman filter based video image processing scheme for two-photon fluorescence microscopy

Wenqing Sun, Wei Qian, Xia Huang, 2016, SPIE Medical Imaging.

COMPUTER ASSISTED DIAGNOSIS (CAD/DSP) FOR DIGITAL MAMMOGRAPHY

Baoyu Zheng, Wei Qian, Robert A. Clark, 1995 .

A United States Patent ( 19 ) 11 Patent Number : 5 , 987 , 094

L. Clarke, W. Qian, F. Mao, 2017 .

Assessing the performance of benign and malignant breast lesion classification with bilateral TIC differentiation and other effective features in DCE‐MRI

W. Qian, Hong Li, He Ma, 2019, Journal of magnetic resonance imaging : JMRI.

A fully automatic segmentation pipeline of pulmonary lobes before and after lobectomy from computed tomography images

W. Qian, Shouliang Qi, Y. Yue, 2022, Comput. Biol. Medicine.

Multi-scale segmentation squeeze-and-excitation UNet with conditional random field for segmenting lung tumor from CT images

W. Qian, Shouliang Qi, Yudong Yao, 2022, Comput. Methods Programs Biomed..

A radiomics signature to identify malignant and benign liver tumors on plain CT images.

W. Qian, Jingwen Jiang, Jin Yin, 2020, Journal of X-ray science and technology.

Development and validation of a prognostic index for efficacy evaluation and prognosis of first-line chemotherapy in stage III–IV lung squamous cell carcinoma

B. Zheng, W. Qian, Jie Tian, 2019, European Radiology.

Structural and functional alterations of the tracheobronchial tree after left upper pulmonary lobectomy for lung cancer

W. Qian, Shouliang Qi, Y. Yue, 2019, BioMedical Engineering OnLine.

Deep CNN for COPD identification by Multi-View snapshot integration of 3D airway tree and lung field

W. Qian, Shuyue Xia, H. Pang, 2023, Biomed. Signal Process. Control..

HMGB1 upregulates NF-kB by inhibiting IKB-α and associates with diabetic retinopathy.

W. Qian, Xiao-long Chen, Hongwei Yang, 2019, Life sciences.

Deep multiple instance learning for predicting chemotherapy response in non-small cell lung cancer using pretreatment CT images

W. Qian, Shouliang Qi, Y. Yue, 2022, Scientific Reports.

CoT-XNet: contextual transformer with Xception network for diabetic retinopathy grading

W. Qian, Shouliang Qi, Yudong Yao, 2022, Physics in medicine and biology.

Analysis of a mammography teaching program based on an affordance design model.

Wei Qian, Ping Luo, William A. Kealy, 2006, Academic radiology.

Decoding and Systematization of Medical Imaging Features of Multiple Human Malignancies

K. Yeom, W. Qian, Jiangdian Song, 2020, Radiology. Imaging cancer.

Astrocyte elevated gene-1(AEG-1) induces epithelial-mesenchymal transition in lung cancer through activating Wnt/β-catenin signaling

W. Qian, Hong-wei Shen, Lian-tang Wang, 2015, BMC Cancer.

Content-based retrieval for lung nodule diagnosis using learned distance metric

Wei Qian, He Ma, Xinzhuo Zhao, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

He Ma, Wei Qian, Guohui Wei, 2016, Medical physics.

A Deep Learning Image Data Augmentation Method for Single Tumor Segmentation

W. Qian, Nan Bao, Hong Li, 2022, Frontiers in Oncology.

Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients

Wei Qian, Hong Liu, Bin Zheng, 2016, IEEE Transactions on Biomedical Engineering.

Applying a radiomics approach to predict prognosis of lung cancer patients

Wei Qian, Shiju Yan, Bin Zheng, 2016, SPIE Medical Imaging.

Exploring new quantitative CT image features to improve assessment of lung cancer prognosis

Wei Qian, Yan Kang, Bin Zheng, 2015, Medical Imaging.

Imaging marine virus CroV and its host Cafeteria roenbergensis with two-photon microscopy

Wenqing Sun, Bin Cao, Wei Qian, 2014, Photonics West - Biomedical Optics.

Identification of COPD From Multi-View Snapshots of 3D Lung Airway Tree via Deep CNN

Yu-Dong Yao, Wei Qian, Yan Kang, 2020, IEEE Access.

SIMULATION ANALYSIS OF DEFORMATION AND STRESS OF TRACHEAL AND MAIN BROCHIAL WALL FOR SUBJECTS WITH LEFT PULMONARY ARTERY SLING

Wei Qian, Han J. W. van Triest, Shouliang Qi, 2015 .

Airflow in Tracheobronchial Tree of Subjects with Tracheal Bronchus Simulated Using CT Image Based Models and CFD Method

Wei Qian, Shouliang Qi, Jing Shen, 2018, Journal of Medical Systems.

Deep CNN Model Using CT Radiomics Feature Mapping Recognizes EGFR Gene Mutation Status of Lung Adenocarcinoma

W. Qian, Shouliang Qi, Yudong Yao, 2021, Frontiers in Oncology.

Predictive Radiomic Models for the Chemotherapy Response in Non-Small-Cell Lung Cancer based on Computerized-Tomography Images

W. Qian, Shouliang Qi, Jiangdian Song, 2021, Frontiers in Oncology.

Computerized breast cancer analysis system using three stage semi-supervised learning method

Wenqing Sun, Wei Qian, Tzu-Liang Tseng, 2016, Comput. Methods Programs Biomed..

Adaptive Neural Network for Nuclear Medicine Image Restoration

Dansheng Song, Wei Qian, Laurence P. Clarke, 1998, J. VLSI Signal Process..

Improved method for automatic identification of lung regions in chest radiographs

Yang Zheng, Lihua Li, Wei Qian, 2000, Medical Imaging: Image Processing.

Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images

W. Qian, Shuyue Xia, Hongliang Ren, 2022, Artif. Intell. Medicine.

Two graph-regularized fuzzy subspace clustering methods

Lisheng Xu, Wei Qian, Fangfang Han, 2021, Appl. Soft Comput..

Ipsilateral-mammogram computer-aided detection of breast cancer.

Dansheng Song, Wei Qian, Xuejun Sun, 2004, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Ensemble Learning of Multiple-View 3D-CNNs Model for Micro-Nodules Identification in CT Images

Shouliang Qi, Yueyang Teng, Haoming Li, 2019, IEEE Access.

An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network

He Ma, Mengdi Gao, Hongyang Jiang, 2018, IEEE Journal of Biomedical and Health Informatics.

Agile convolutional neural network for pulmonary nodule classification using CT images

Jianhua Li, Wei Qian, Shouliang Qi, 2018, International Journal of Computer Assisted Radiology and Surgery.

Automatic feature learning using multichannel ROI based on deep structured algorithms for computerized lung cancer diagnosis

Wenqing Sun, Wei Qian, Bin Zheng, 2017, Comput. Biol. Medicine.

Computer aided lung cancer diagnosis with deep learning algorithms

Wenqing Sun, Wei Qian, Bin Zheng, 2016, SPIE Medical Imaging.

Interpretation of calcifications in screen/film, digitized, and wavelet-enhanced monitor-displayed mammograms: a receiver operating characteristic study.

L P Clarke, M Kallergi, W Qian, 1996, Academic radiology.

Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data

Wenqing Sun, Wei Qian, Tzu-Liang Tseng, 2017, Comput. Medical Imaging Graph..

CAD-Aided Mammogram Training1

Wei Qian, Ping Luo, Pat Romilly, 2005 .

A vision transformer for emphysema classification using CT images

W. Qian, Shouliang Qi, Shuyue Xia, 2021, Physics in medicine and biology.

Weighted spectral reconstruction method for discrimination of bacterial species with low signal-to-noise ratio Raman measurements

W. Qian, Wenbin Xu, Xiaoyu Cui, 2019, RSC advances.

Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks

Wenqing Sun, Tzu-Liang Bill Tseng, Chunqiang Li, 2019, Comput. Medical Imaging Graph..

Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset

W. Qian, Lisheng Xu, Shouliang Qi, 2019, Biomedical engineering online.

Prognosis of stage I lung cancer patients through quantitative analysis of centrosomal features

Dansheng Song, Wei Qian, Tatyana Zhukov, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

A novel approach to nodule feature optimization on thin section thoracic CT.

Ravi K. Samala, Yuncheng You, Wei Qian, 2009, Academic radiology.

Knowledge based optimum feature selection for lung nodule diagnosis on thin section thoracic CT

Ravi K. Samala, Wilfrido A. Moreno, Dansheng Song, 2009, Medical Imaging.

Boundary delineation in transrectal ultrasound image for prostate cancer

Ying Zhang, Wei Qian, Ravi Sankar, 2007, Comput. Biol. Medicine.

Prostate boundary detection in transrectal ultrasound images

Ying Zhang, Wei Qian, Ravi Sankar, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

An Interpretable Ensemble Deep Learning Model for Diabetic Retinopathy Disease Classification

Kang Yang, Wei Qian, He Ma, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Preliminary Study on Breast Cancer Risk Analysis Using Deep Neural Network

Wenqing Sun, Wei Qian, Tzu-Liang Tseng, 2016, Digital Mammography / IWDM.

Content-based image retrieval for Lung Nodule Classification Using Texture Features and Learned Distance Metric

Wei Qian, Shouliang Qi, He Ma, 2017, Journal of Medical Systems.

Content-based image retrieval with a Convolutional Siamese Neural Network: Distinguishing lung cancer and tuberculosis in CT images

Wei Qian, Shouliang Qi, Yong Yue, 2021, Comput. Biol. Medicine.

Yang Li, Hao Zhang, Zhiqiong Wang, 2018, Journal of X-ray science and technology.

Detection and Classification of Pulmonary Nodules Using Convolutional Neural Networks: A Survey

Shouliang Qi, He Ma, Patrice Monkam, 2019, IEEE Access.

Protein microarrays and quantum dot probes for early cancer detection.

Dansheng Song, Wei Qian, Tatyana Zhukov, 2007, Colloids and surfaces. B, Biointerfaces.

Multiresolution/multiorientation based nonlinear filters for image enhancement and detection in digital mammography

Wei Qian, Xuejun Sun, Robert Clark, 2002 .

Medical image enhancement with hybrid filters

Wei Qian, W. Qian, 2000 .

A Novel Multiresolution-Statistical Texture Analysis Architecture: Radiomics-Aided Diagnosis of PDAC Based on Plain CT Images

Wei Qian, Zi-Xing Huang, Jia-Jun Qiu, 2020, IEEE Transactions on Medical Imaging.

Particle Disposition in the Realistic Airway Tree Models of Subjects with Tracheal Bronchus and COPD

Wei Qian, Shouliang Qi, Chen Li, 2018, BioMed research international.

Transient Dynamics Simulation of Airflow in a CT-Scanned Human Airway Tree: More or Fewer Terminal Bronchi?

Jianhua Li, Wei Qian, Shouliang Qi, 2017, Comput. Math. Methods Medicine.

Development of a Deep Learning Model to Identify Lymph Node Metastasis on Magnetic Resonance Imaging in Patients With Cervical Cancer

W. Qian, Meiyun Wang, Jie Tian, 2020, JAMA network open.

Ensemble Learners of Multiple Deep CNNs for Pulmonary Nodules Classification Using CT Images

Yu-Dong Yao, Shouliang Qi, Chen Li, 2019, IEEE Access.

Automatic detection of neovascularization in retinal images using extreme learning machine

He Huang, Wei Qian, Han J. W. van Triest, 2018, Neurocomputing.

Fuzzy image segmentation for lung nodule detection

Dansheng Song, Wei Qian, Yue Shen, 2004, SPIE Optics + Photonics.

Computer-aided detection (CAD) of breast cancer on full field digital and screening film mammograms

Dansheng Song, Wei Qian, Robert A. Clark, 2003, SPIE Medical Imaging.

Ipsilateral multi-view CAD system for mass detection in digital mammography

Dansheng Song, Wei Qian, Xuejun Sun, 2001, Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA 2001).

Image feature extraction for mass detection in digital mammography: Influence of wavelet analysis

Wei Qian, Laurence P. Clarke, Lihua Li, 1999 .

Diagnostic performance on multiple parameters of real-time ultrasound shear wave elastography for evaluating nonalcoholic fatty liver disease: A rabbit model.

W. Qian, Shi Zhou, Pinggui Lei, 2020, Journal of X-ray science and technology.

A Brief Review for Content-Based Microorganism Image Analysis Using Classical and Deep Neural Networks

Tao Jiang, Ning Xu, Chen Li, 2018, ITIB.

Serum microRNA-221 as a biomarker for diabetic retinopathy in patients associated with type 2 diabetes.

W. Qian, Shuo Chen, Xiao-long Chen, 2018, International journal of ophthalmology.

A Multi-Label Deep Learning Model with Interpretable Grad-CAM for Diabetic Retinopathy Classification

Jie Xu, Kang Yang, Mengdi Gao, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

DCT-MIL: Deep CNN transferred multiple instance learning for COPD identification using CT images

Yan Kang, Wei Qian, Shouliang Qi, 2020, Physics in medicine and biology.

Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning

Zhengrong Liang, Fangfang Han, Wei Qian, 2020, Journal of Digital Imaging.

Tortuosity of Retinal Main and Branching Arterioles, Venules in Patients With Type 2 Diabetes and Diabetic Retinopathy in China

Shuo Chen, Wei Qian, Shanshan Zhu, 2020, IEEE Access.

Retinal Vascular Tortuosity in Hospitalized Patients with Type 2 Diabetes and Diabetic Retinopathy in China

B. H. Romeny, W. Qian, T. Lamers, 2016 .

Association of computer-aided detection results and breast cancer risk

Wei Qian, Morteza Heidari, Bin Zheng, 2019, Medical Imaging.

Evaluation of correlation between CT image features and ERCC1 protein expression in assessing lung cancer prognosis

Bin Zheng, Wei Qian, Fleming Lure, 2014, Medical Imaging.

Automatic Parallel Detection of Neovascularization from Retinal Images Using Ensemble of Extreme Learning Machine *

He Huang, Wei Qian, He Ma, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Cascaded Conditional Generative Adversarial Networks With Multi-Scale Attention Fusion for Automated Bi-Ventricle Segmentation in Cardiac MRI

Haoran Zhang, Wenjun Tan, Lin Qi, 2019, IEEE Access.

Serum microRNA-211 as a biomarker for diabetic retinopathy via modulating Sirtuin 1.

W. Qian, Xiao-long Chen, He-Nan Liu, 2018, Biochemical and biophysical research communications.

Deep CNN models for pulmonary nodule classification: model modification, model integration, and transfer learning.

Shouliang Qi, He Ma, Xinzhuo Zhao, 2019, Journal of X-ray science and technology.

A new approach to develop computer-aided detection schemes of digital mammograms

Hong Liu, Bin Zheng, Wei Qian, 2015, Physics in medicine and biology.

Semi-supervised Nonnegative Matrix Factorization with Commonness Extraction

Wei Qian, Shouliang Qi, Lisheng Xu, 2016, Neural Processing Letters.

Improving mass detection by adaptive and multiscale processing in digitized mammograms

Lihua Li, Wei Qian, Laurence P. Clarke, 1999, Medical Imaging.

Breast mass detection and diagnosis using fused features with density.

Hao Zhang, Zhiqiong Wang, Junchang Xin, 2019, Journal of X-ray science and technology.

Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset

Lisheng Xu, Shouliang Qi, Yueyang Teng, 2019, BioMedical Engineering OnLine.

Prediction of near-term risk of developing breast cancer using computerized features from bilateral mammograms

Wenqing Sun, Wei Qian, Teresa Wu, 2014, Comput. Medical Imaging Graph..

A new near-term breast cancer risk prediction scheme based on the quantitative analysis of ipsilateral view mammograms

Wenqing Sun, Wei Qian, Hui Yu, 2018, Comput. Methods Programs Biomed..

Performance evaluation of breast cancer diagnosis with mammography, ultrasonography and magnetic resonance imaging.

Wei Qian, Shouliang Qi, He Ma, 2018, Journal of X-ray science and technology.

Computer-Aided Dementia Diagnosis Based on Hierarchical Extreme Learning Machine

Zhiqiong Wang, Junchang Xin, Wei Qian, 2020, Cognitive Computation.

Subjective Colocalization Analysis with Fuzzy Predicates

Wei Qian, José-Gerardo Rosiles, Pablo Rivas-Perea, 2010, Soft Computing for Intelligent Control and Mobile Robotics.

Risk Analysis for Pathological Changes in Pulmonary Parenchyma Based on Lung Computed Tomography Images

Wei Qian, He Ma, W. Qian, 2016, Journal of computer assisted tomography.

A kernelised fuzzy-Support Vector Machine CAD system for the diagnosis of lung cancer from tissue images

Dansheng Song, Wei Qian, Walker H. Land, 2008, Int. J. Funct. Informatics Pers. Medicine.

An adaptive image segmentation process for the classification of lung biopsy images

Dansheng Song, Wei Qian, Walker H. Land, 2006, SPIE Medical Imaging.

Award Number: W81XWH-06-1-0291 TITLE: Integration of Anatomic and Pathogenetic Bases for Early Lung Cancer Diagnosis

W. Qian, Principal Investigator, 2007 .

Effect of wavelet bases on compressing digital mammograms

Wei Qian, Ronald A. DeVore, Laurence P. Clarke, 1995 .

Computer-aided mass detection based on ipsilateral multiview mammograms.

Dansheng Song, Wei Qian, Ravi Sankar, 2007, Academic radiology.

Applying a machine learning model using a locally preserving projection based feature regeneration algorithm to predict breast cancer risk

Bin Zheng, Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, 2018, Medical Imaging.

A new CAD approach for improving efficacy of cancer screening

Lihua Li, Wei Qian, Yan Kang, 2015, Medical Imaging.

CNN models discriminating between pulmonary micro-nodules and non-nodules from CT images

W. Qian, Shouliang Qi, Mingjie Xu, 2018, BioMedical Engineering OnLine.

Agile convolutional neural network for pulmonary nodule classification using CT images

W. Qian, Jianhua Li, Shouliang Qi, 2018, International Journal of Computer Assisted Radiology and Surgery.

Self organizing maps for class discovery in the quantitative colocalization analysis feature space

Wei Qian, Pablo Rivas-Perea, José-Gerardo Rosiles, 2009, 2009 International Joint Conference on Neural Networks.

Markov random field model for mammogram segmentation

Wei Qian, Laurence P. Clarke, Maria Kallergi, 1993, Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ.

Improving the performance of lesion-based computer-aided detection schemes of breast masses using a case-based adaptive cueing method

Wei Qian, Bin Zheng, Yunzhi Wang, 2016, SPIE Medical Imaging.

Computer-aided classification of mammographic masses using visually sensitive image features.

Bin Zheng, Yunzhi Wang, Yuchen Qiu, 2017, Journal of X-ray science and technology.

A hybrid deep learning approach to predict malignancy of breast lesions using mammograms

Wei Qian, Jing Gong, Morteza Heidari, 2018, Medical Imaging.

Neural network with maximum entropy constraint for nuclear medicine image restoration

Wei Qian, Vijay K. Jain, Laurence P. Clarke, 1995 .

A novel pixel value space statistics map of the pulmonary nodule for classification in computerized tomography images

Wei Qian, He Ma, Xinzhuo Zhao, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Jiren Liu, Junchang Xin, Zhiqiong Wang, 2019, Journal of X-ray science and technology.

Tree-structured nonlinear filters in digital mammography

Wei Qian, Laurence P. Clarke, Robert A. Clark, 1994, IEEE Trans. Medical Imaging.

Quantitative pathologic analysis of pulmonary nodules using three-dimensional computed tomography images based on latent Dirichlet allocation

Wei Qian, He Ma, Mengdi Gao, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Lung nodule classification using local kernel regression models with out-of-sample extension

He Ma, Guohui Wei, Hongyang Jiang, 2018, Biomed. Signal Process. Control..