Qiang Li
Orcid: 0000-0002-9815-4432Affiliations:
- Huazhong University of Science and Technology, School of Engineering Sciences, Collaborative Innovation Center for Biomedical Engineering, MoE Key Laboratory for Biomedical Photonics, Wuhan, China
- Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Britton Chance Center for Biomedical Photonics, Wuhan, China
- Shanghai Advanced Research Institute, China (2012 - 2018)
- Duke University, Department of Radiology, Durham, NC, USA (2008 - 2012)
- University of Chicago, Department of Radiology / Laboratories for Radiologic Image Research, IL, USA (1998 - 2008)
- Kyoto Institute of Technology, Japan (PhD 1998)
According to our database1,
Qiang Li
authored at least 63 papers
between 1998 and 2024.
Collaborative distances:
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Bibliography
2024
Multi-Feature Decision Fusion Network for Heart Sound Abnormality Detection and Classification.
IEEE J. Biomed. Health Informatics, March, 2024
Co-learning-assisted progressive dense fusion network for cardiovascular disease detection using ECG and PCG signals.
Expert Syst. Appl., March, 2024
Joint denoising and interpolating network for low-dose cone-beam CT reconstruction under hybrid dose-reduction strategy.
Comput. Biol. Medicine, January, 2024
StyleSeg V2: Towards Robust One-shot Segmentation of Brain Tissue via Optimization-free Registration Error Perception.
CoRR, 2024
MonoPCC: Photometric-invariant Cycle Constraint for Monocular Depth Estimation of Endoscopic Images.
CoRR, 2024
MonoBox: Tightness-free Box-supervised Polyp Segmentation using Monotonicity Constraint.
CoRR, 2024
Noise Removed Inconsistency Activation Map for Unsupervised Registration of Brain Tumor MRI Between Pre-operative and Follow-Up Phases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
SALI: Short-Term Alignment and Long-Term Interaction Network for Colonoscopy Video Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Bidirectional Semi-Supervised Dual-Branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel Supervisions.
IEEE Trans. Medical Imaging, November, 2023
PSDP: Pseudo-supervised dual-processing for low-dose cone-beam computed tomography reconstruction.
Expert Syst. Appl., August, 2023
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging, March, 2023
Accurate Cobb Angle Estimation on Scoliosis X-Ray Images via Deeply-Coupled Two-Stage Network With Differentiable Cropping and Random Perturbation.
IEEE J. Biomed. Health Informatics, March, 2023
IEEE Trans. Instrum. Meas., 2023
IBoxCLA: Towards Robust Box-supervised Segmentation of Polyp via Improved Box-dice and Contrastive Latent-anchors.
CoRR, 2023
Dual-view Correlation Hybrid Attention Network for Robust Holistic Mammogram Classification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Towards Learning-based Surgical Planning of Glioma Resection via a Contrastively Constrained Siamese Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Rethinking Low-Dose CT Synthesis: Degrading Normal-Dose CT from Origin for Pairwise Training of CT Denoiser.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Robust One-Shot Segmentation of Brain Tissues via Image-Aligned Style Transformation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Joint Progressive and Coarse-to-Fine Registration of Brain MRI via Deformation Field Integration and Non-Rigid Feature Fusion.
IEEE Trans. Medical Imaging, 2022
Semi-Supervised Learning for Automatic Atrial Fibrillation Detection in 24-Hour Holter Monitoring.
IEEE J. Biomed. Health Informatics, 2022
Dual-domain attention-guided convolutional neural network for low-dose cone-beam computed tomography reconstruction.
Knowl. Based Syst., 2022
Sparse-view cone beam CT reconstruction using dual CNNs in projection domain and image domain.
Neurocomputing, 2022
Accurate Scoliosis Vertebral Landmark Localization on X-ray Images via Shape-constrained Multi-stage Cascaded CNNs.
CoRR, 2022
Improving the Quality of Sparse-view Cone-Beam Computed Tomography via Reconstruction-Friendly Interpolation Network.
Proceedings of the Computer Vision - ACCV 2022, 2022
2021
Deep learning based data-adaptive descriptor for non-rigid multi-modal medical image registration.
Signal Process., 2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
CoRR, 2021
Effective integration of object boundaries and regions for improving the performance of medical image segmentation by using two cascaded networks.
Comput. Methods Programs Biomed., 2021
Semi-supervised Learning via Improved Teacher-Student Network for Robust 3D Reconstruction of Stereo Endoscopic Image.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Progressive and Coarse-to-Fine Network for Medical Image Registration Across Phases, Modalities and Patients.
Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021
2020
Reinforcement Learning Based Fast Self-Recalibrating Decoder for Intracortical Brain-Machine Interface.
Sensors, 2020
2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
2013
Automated segmentation of brain ventricles in unenhanced CT of patients with ischemic stroke.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012
2011
Clinical Utility of Temporal Subtraction Images in Successive Whole-Body Bone Scans: Evaluation in a Prospective Clinical Study.
J. Digit. Imaging, 2011
Automated detection of pulmonary nodules in CT: false positive reduction by combining multiple classifiers.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
2010
Presentation of Similar Images as a Reference for Distinction Between Benign and Malignant Masses on Mammograms: Analysis of Initial Observer Study.
J. Digit. Imaging, 2010
Usefulness of texture features for segmentation of lungs with severe diffuse interstitial lung disease.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010
2009
A novel scheme for detection of diffuse lung disease in MDCT by use of statistical texture features.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Presentation of similar images for diagnosis of breast masses on mammograms: analysis of the effect on residents.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
2008
Proceedings of the Medical Imaging 2008: Image Processing, 2008
Computer-aided diagnosis: a 3D segmentation method for lung nodules in CT images by use of a spiral-scanning technique.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008
Performance levels for computerized detection of nodules in different size and pattern groups on thin-slice CT.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008
2007
Comput. Medical Imaging Graph., 2007
Comput. Medical Imaging Graph., 2007
Contralateral subtraction technique for detection of asymmetric abnormalities on whole-body bone scintigrams.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007
Determination of subjective and objective similarity for pairs of masses on mammograms for selection of similar images.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007
Computerized method for detection of vertebral fractures on lateral chest radiographs based on morphometric data.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007
2006
Development of a computerized scheme for detection of very subtle lung nodules located in opaque areas on chest radiographs.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Development of computerized method for detection of vertebral fractures on lateral chest radiographs.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
2005
Computerized nodule detection in thin-slice CT using selective enhancement filter and automated rule-based classifier.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
CAD scheme for detection of intracranial aneurysms in MRA based on 3D analysis of vessel skeletons and enhanced aneurysms.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
2004
New selective nodule enhancement filter and its application for significant improvement of nodule detection on computed tomography.
Proceedings of the Medical Imaging 2004: Image Processing, 2004
Usefulness of computerized scheme for differentiating benign from malignant lung nodules on high-resolution CT.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004
Selective enhancement filters for lung nodules, intracranial aneurysms, and breast microcalcifications.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004
Development of CAD scheme for automated detection of intracranial aneurysms in magnetic resonance angiography.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004
2001
Development of a multiple-template matching technique for removal of false positives in a computer-aided diagnostic scheme.
Proceedings of the Medical Imaging 2001: Image Processing, 2001
2000
Temporal subtraction technique for detection of interval changes on digital chest radiographs by using an elastic matching technique.
Proceedings of the Medical Imaging 2000: Image Processing, 2000
1999
Comparison of the quality of temporal subtraction images obtained with manual and automated methods of digital chest radiography.
J. Digit. Imaging, 1999
1998
Proceedings of the Medical Imaging 1998: Image Processing, 1998