Wei Qian
Orcid: 0000-0002-9563-721XAffiliations:
- University of Texas at El Paso, College of Engineering, TX, USA
- Northeastern University, Sino-Dutch Biomedical and Information Engineering School, Shenyang, China
- University of South Florida, College of Medicine, Tampa, FL, USA (former)
According to our database1,
Wei Qian
authored at least 94 papers
between 1993 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
ST-GAN: A Swin Transformer-Based Generative Adversarial Network for Unsupervised Domain Adaptation of Cross-Modality Cardiac Segmentation.
IEEE J. Biomed. Health Informatics, February, 2024
An Attention-Based Deep Learning Network for Predicting Platinum Resistance in Ovarian Cancer.
IEEE Access, 2024
2023
A radiomics based method for prediction of prostate cancer Gleason score using enlarged region of interest.
BMC Medical Imaging, December, 2023
Depicting and predicting changes of lung after lobectomy for cancer by using CT images.
Medical Biol. Eng. Comput., November, 2023
TSP-UDANet: two-stage progressive unsupervised domain adaptation network for automated cross-modality cardiac segmentation.
Neural Comput. Appl., October, 2023
Two-stage contextual transformer-based convolutional neural network for airway extraction from CT images.
Artif. Intell. Medicine, September, 2023
Comput. Methods Programs Biomed., April, 2023
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., April, 2023
An attention-based deep learning network for predicting Platinum resistance in ovarian cancer.
CoRR, 2023
Deep CNN for COPD identification by Multi-View snapshot integration of 3D airway tree and lung field.
Biomed. Signal Process. Control., 2023
Predicting Protein Structure Using Structural Feature-based Hybrid Genetic Algorithm.
Proceedings of the 7th International Symposium on Computer Science and Intelligent Control, 2023
TOD-Net: Transformer-Based Neural Network for Tiny Object Detection in Sperm Microscopic Videos.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Functional Brain Connections Identify Sensorineural Hearing Loss and Predict the Outcome of Cochlear Implantation.
Frontiers Comput. Neurosci., 2022
Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images.
CoRR, 2022
Multi-scale segmentation squeeze-and-excitation UNet with conditional random field for segmenting lung tumor from CT images.
Comput. Methods Programs Biomed., 2022
Content-based image retrieval with a Convolutional Siamese Neural Network: Distinguishing lung cancer and tuberculosis in CT images.
Comput. Biol. Medicine, 2022
A fully automatic segmentation pipeline of pulmonary lobes before and after lobectomy from computed tomography images.
Comput. Biol. Medicine, 2022
2021
A Novel Multiresolution-Statistical Texture Analysis Architecture: Radiomics-Aided Diagnosis of PDAC Based on Plain CT Images.
IEEE Trans. Medical Imaging, 2021
Cogn. Comput., 2021
Neonatal Fundus Image Registration and Mosaic Using Improved Speeded Up Robust Features Based on Shannon Entropy.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning.
J. Digit. Imaging, 2020
Protein structure optimization using improved simulated annealing algorithm on a three-dimensional AB off-lattice model.
Comput. Biol. Chem., 2020
Tortuosity of Retinal Main and Branching Arterioles, Venules in Patients With Type 2 Diabetes and Diabetic Retinopathy in China.
IEEE Access, 2020
Identification of COPD From Multi-View Snapshots of 3D Lung Airway Tree via Deep CNN.
IEEE Access, 2020
A Multi-Label Deep Learning Model with Interpretable Grad-CAM for Diabetic Retinopathy Classification.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the 6th International Conference on Big Data Computing and Communications, 2020
2019
A novel framework for the NMF methods with experiments to unmixing signals and feature representation.
J. Comput. Appl. Math., 2019
Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks.
Comput. Medical Imaging Graph., 2019
Ensemble Learners of Multiple Deep CNNs for Pulmonary Nodules Classification Using CT Images.
IEEE Access, 2019
Cascaded Conditional Generative Adversarial Networks With Multi-Scale Attention Fusion for Automated Bi-Ventricle Segmentation in Cardiac MRI.
IEEE Access, 2019
Ensemble Learning of Multiple-View 3D-CNNs Model for Micro-Nodules Identification in CT Images.
IEEE Access, 2019
Detection and Classification of Pulmonary Nodules Using Convolutional Neural Networks: A Survey.
IEEE Access, 2019
Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction.
Proceedings of the Medical Imaging 2019: Image Perception, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Predicting unnecessary nodule biopsy for a small lung cancer screening dataset by less-abstractive deep features.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
An Interpretable Ensemble Deep Learning Model for Diabetic Retinopathy Disease Classification.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Automatic Parallel Detection of Neovascularization from Retinal Images Using Ensemble of Extreme Learning Machine.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Quantitative pathologic analysis of pulmonary nodules using three-dimensional computed tomography images based on latent Dirichlet allocation.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network.
IEEE J. Biomed. Health Informatics, 2018
Content-based image retrieval for Lung Nodule Classification Using Texture Features and Learned Distance Metric.
J. Medical Syst., 2018
Airflow in Tracheobronchial Tree of Subjects with Tracheal Bronchus Simulated Using CT Image Based Models and CFD Method.
J. Medical Syst., 2018
Automatic detection of neovascularization in retinal images using extreme learning machine.
Neurocomputing, 2018
A new near-term breast cancer risk prediction scheme based on the quantitative analysis of ipsilateral view mammograms.
Comput. Methods Programs Biomed., 2018
Agile convolutional neural network for pulmonary nodule classification using CT images.
Int. J. Comput. Assist. Radiol. Surg., 2018
Lung nodule classification using local kernel regression models with out-of-sample extension.
Biomed. Signal Process. Control., 2018
Association between mammogram density and background parenchymal enhancement of breast MRI.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
A Brief Review for Content-Based Microorganism Image Analysis Using Classical and Deep Neural Networks.
Proceedings of the Information Technology in Biomedicine, 2018
2017
Neural Process. Lett., 2017
Transient Dynamics Simulation of Airflow in a CT-Scanned Human Airway Tree: More or Fewer Terminal Bronchi?
Comput. Math. Methods Medicine, 2017
Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data.
Comput. Medical Imaging Graph., 2017
Automatic feature learning using multichannel ROI based on deep structured algorithms for computerized lung cancer diagnosis.
Comput. Biol. Medicine, 2017
Balance the nodule shape and surroundings: a new multichannel image based convolutional neural network scheme on lung nodule diagnosis.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Automatic lung nodule graph cuts segmentation with deep learning false positive reduction.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
A fully-automated multiscale kernel graph cuts based particle localization scheme for temporal focusing two-photon microscopy.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
A novel pixel value space statistics map of the pulmonary nodule for classification in computerized tomography images.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients.
IEEE Trans. Biomed. Eng., 2016
Computerized breast cancer analysis system using three stage semi-supervised learning method.
Comput. Methods Programs Biomed., 2016
Improving the performance of lesion-based computer-aided detection schemes of breast masses using a case-based adaptive cueing method.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
A novel Kalman filter based video image processing scheme for two-photon fluorescence microscopy.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
Proceedings of the Breast Imaging, 2016
Proceedings of the Breast Imaging, 2016
2015
K Nearest Gaussian-A model fusion based framework for imbalanced classification with noisy dataset.
Artif. Intell. Res., 2015
Artif. Intell. Res., 2015
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
A new breast cancer risk analysis approach using features extracted from multiple sub-regions on bilateral mammograms.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Exploring new quantitative CT image features to improve assessment of lung cancer prognosis.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Applying matrix factorization in data reconstruction for heart disease patient classification.
Proceedings of the 17th International Conference on E-health Networking, 2015
2014
Prediction of near-term risk of developing breast cancer using computerized features from bilateral mammograms.
Comput. Medical Imaging Graph., 2014
Using undiagnosed data to enhance computerized breast cancer analysis with a three stage data labeling method.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
2012
Prognosis of stage I lung cancer patients through quantitative analysis of centrosomal features.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2010
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Similarity based false-positive reduction for breast cancer using radiographic and pathologic imaging features.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
2009
Knowledge based optimum feature selection for lung nodule diagnosis on thin section thoracic CT.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
2000
Proceedings of the Medical Imaging 2000: Image Processing, 2000
1999
Improving mass detection by adaptive and multiscale processing in digitized mammograms.
Proceedings of the Medical Imaging 1999: Image Processing, 1999
1998
J. VLSI Signal Process., 1998
Image feature extraction for mass detection in digital mammography: effects of wavelet analysis.
Proceedings of the Medical Imaging 1998: Image Processing, 1998
Proceedings of the Digital Mammography, 1998
1997
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997
1996
Digital mammography: mixed feature neural network with spectral entropy decision for detection of microcalcifications.
IEEE Trans. Medical Imaging, 1996
Wavelet-based neural network with fuzzy-logic adaptivity for nuclear image restoration.
Proc. IEEE, 1996
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996
1994
IEEE Trans. Medical Imaging, 1994
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994
1993
Order statistic-neural network hybrid filters for gamma camera-bremsstrahlung image restoration.
IEEE Trans. Medical Imaging, 1993
Proceedings of the IEEE International Conference on Acoustics, 1993