Qingmao Hu

发表

Left ventricle segmentation with mixture of Gaussian active contours

Pheng-Ann Heng, Xiaoxu Wang, Qingmao Hu, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

License plate detection using Haar-like features and histogram of oriented gradients

Qingmao Hu, Kuan Zheng, Yuanxing Zhao, 2012, 2012 IEEE International Symposium on Industrial Electronics.

Segmentation of the Sylvian fissure in brain images

Qingmao Hu, Zujun Hou, Wieslaw Lucjan Nowinski, 2004, Proceedings. Fourth IEEE Symposium on Bioinformatics and Bioengineering.

Recovering Cardiac Electrical Activity from Medical Image Sequence: A Model-Based Approach

Bo Li, Pheng-Ann Heng, Qingmao Hu, 2010, STACOM/CESC.

Knowledge-Driven Automated Extraction of the Human Cerebral Ventricular System from MR Images

Qingmao Hu, Wieslaw Lucjan Nowinski, Aamer Aziz, 2003, IPMI.

Segmentation of brain magnetic resonance angiography images based on MAP-MRF with multi-pattern neighborhood system

Wufan Chen, Yaoqin Xie, Qingmao Hu, 2013, 2013 IEEE International Conference on Medical Imaging Physics and Engineering.

Registration of head CT images with subarachnoid hemorrhage

Qingmao Hu, Jianhuang Wu, Fucang Jia, 2010, 2010 3rd International Conference on Biomedical Engineering and Informatics.

Macroscopic Cerebral Tumor Growth Modeling From Medical Images: A Review

Qingmao Hu, Ahmed M. Anter, Tianfu Wang, 2018, IEEE Access.

Regularized fuzzy c-means method for brain tissue clustering

Qingmao Hu, Zujun Hou, Wieslaw Lucjan Nowinski, 2007, Pattern Recognit. Lett..

A marker-based watershed method for X-ray image segmentation

Qingmao Hu, Suhuai Luo, Xiaodong Zhang, 2014, Comput. Methods Programs Biomed..

Mathematical modeling of brain glioma growth using modified reaction-diffusion equation on brain MR images

Qingmao Hu, Jianjun Yuan, Lipei Liu, 2013, Comput. Biol. Medicine.

Rib suppression in chest radiographs for lung nodule enhancement

Qingmao Hu, Suhuai Luo, Jiaming Li, 2015, 2015 IEEE International Conference on Information and Automation.

Segmentation of Hyperacute Cerebral Infarcts Based on Sparse Representation of Diffusion Weighted Imaging

Qingmao Hu, Jing Xue, Weiping Li, 2016, Comput. Math. Methods Medicine.

Knowledge-driven segmentation of the central sulcus from human brain MR images

Qingmao Hu, Wieslaw Lucjan Nowinski, Aamer Aziz, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Segmentation of the temporalis muscle from MR data

Sim Heng Ong, Qingmao Hu, J. Liu, 2007, International Journal of Computer Assisted Radiology and Surgery.

Medical surface smoothing via adaptive diffusion of differential fields

Qingmao Hu, Jianhuang Wu, Xin Ma, 2011, The 2011 IEEE/ICME International Conference on Complex Medical Engineering.

Automatic airway tree segmentation from pediatric CT images with foreign bodies based on convolutional neural network

Qingmao Hu, Jianhua Wei, Wenhong Ye, 2019, 2019 International Conference on Medical Imaging Physics and Engineering (ICMIPE).

Curvature-dependent surface visualization of vascular structures

Qingmao Hu, Jianhuang Wu, Xin Ma, 2010, Comput. Medical Imaging Graph..

Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder

Qingmao Hu, Jianhuang Wu, Fucang Jia, 2018, BioMedical Engineering OnLine.

Segmentation of Brain Tissues from Magnetic Resonance Images Using Adaptively Regularized Kernel-Based Fuzzy C-Means Clustering

Qingmao Hu, Jianhuang Wu, Fucang Jia, 2015, Comput. Math. Methods Medicine.

Knowledge-driven extraction of the four modified Talairach cortical landmarks (A, P, L, and R) from MR neuroimages

Qingmao Hu, Wieslaw Lucjan Nowinski, 2004, Proceedings. Fourth IEEE Symposium on Bioinformatics and Bioengineering.

Robust kernelized local information fuzzy C-means clustering for brain magnetic resonance image segmentation.

Qingmao Hu, Shiqian Wu, Ahmed Elazab, 2016, Journal of X-ray science and technology.

Muscles of mastication model-based MR image segmentation

Sim Heng Ong, Qingmao Hu, Wieslaw Lucjan Nowinski, 2006, International Journal of Computer Assisted Radiology and Surgery.

Electroconvulsive Therapy Induces Cortical Morphological Alterations in Major Depressive Disorder Revealed with Surface-Based Morphometry Analysis

Qingmao Hu, Jiaojian Wang, Hongming Li, 2019, Int. J. Neural Syst..

Progressive Hand-Eye Calibration for Laparoscopic Surgery Navigation

Qingmao Hu, Jinliang Shao, Fucang Jia, 2017, CARE/CLIP@MICCAI.

Non-rigid registration between brain CT images and MRI brain atlas by combining grayscale information, point correspondence on the midsaggital plane and brain surface matching

Qingmao Hu, Mingyang Chen, Aili Gao, 2013 .

Thresholding based on variance and intensity contrast

Yu Qiao, Qingmao Hu, Suhuai Luo, 2007, Pattern Recognit..

Detection and quantification of intracerebral and intraventricular hemorrhage from computed tomography images with adaptive thresholding and case-based reasoning

Qingmao Hu, Mingyang Chen, Wenhua Huang, 2013, International Journal of Computer Assisted Radiology and Surgery.

Supervised range-constrained thresholding

Qingmao Hu, Zujun Hou, Wieslaw Lucjan Nowinski, 2006, IEEE Transactions on Image Processing.

Simulation of contrast medium propagation in virtual vascular interventional radiology

Yi Qin, Haoyu Wang, Qingmao Hu, 2015, 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

Fast automatic 3D liver segmentation based on a three-level AdaBoost-guided active shape model.

Qingmao Hu, Fucang Jia, Chihua Fang, 2016, Medical physics.

Rapid and automatic detection of brain tumors in MR images

Qingmao Hu, Aamer Aziz, Wieslaw L. Nowinski, 2004, SPIE Medical Imaging.

Automatic liver parenchyma segmentation from abdominal CT images using support vector machines

Xiangjian He, Mira Park, Qingmao Hu, 2009, 2009 ICME International Conference on Complex Medical Engineering.

Fast connected-component labelling in three-dimensional binary images based on iterative recursion

Qingmao Hu, Wieslaw Lucjan Nowinski, Guoyu Qian, 2005, Comput. Vis. Image Underst..

A Kinect(™) camera based navigation system for percutaneous abdominal puncture.

Wei Cai, Qingmao Hu, Chihua Fang, 2016, Physics in medicine and biology.

An IGSTK-based surgical navigation system connected with medical robot

Qingmao Hu, Fucang Jia, Yongzhong Xu, 2010, 2010 IEEE Youth Conference on Information, Computing and Telecommunications.

Radiological Symmetry of Brain and Head Images: Comparison and Applications

Qingmao Hu, Wieslaw Lucjan Nowinski, Q. Hu, 2006, International Journal of Computer Assisted Radiology and Surgery.

Augmented reality navigation for liver resection with a stereoscopic laparoscope

Wei Cai, Xiao Guo, Qingmao Hu, 2020, Comput. Methods Programs Biomed..

Rapid and Automated Extraction of the Fourth Ventricle from MR Images

Qingmao Hu, Wieslaw Lucjan Nowinski, Aamer Aziz, 2003, MICCAI.

A Fast and Automatic Method to Correct Intensity Inhomogeneity in MR Brain Images

Qingmao Hu, Zujun Hou, Wieslaw Lucjan Nowinski, 2006, MICCAI.

Comparative study of surface modeling methods for vascular structures

Qingmao Hu, Jianhuang Wu, Xin Ma, 2013, Comput. Medical Imaging Graph..

Deep learning based vein segmentation from susceptibility-weighted images

Qingmao Hu, Yiqun Zhang, Xiaodong Zhang, 2018, Computing.

An automatic algorithm for rapid and accurate extraction of the human ventricular system from T2-weighted MR images

Qingmao Hu, Hui Tian, Wieslaw Lucjan Nowinski, 2004, SPIE Medical Imaging.

Automatic Detection of the Existence of Subarachnoid Hemorrhage from Clinical CT Images

Qingmao Hu, Yonghong Li, Hongwei Li, 2012, Journal of Medical Systems.

On minimum variance thresholding

Qingmao Hu, Zujun Hou, Wieslaw Lucjan Nowinski, 2006, Pattern Recognit. Lett..

License Plate Location Based on Haar-Like Cascade Classifiers and Edges

Qingmao Hu, Yuanxing Zhao, Jing Gu, 2010, 2010 Second WRI Global Congress on Intelligent Systems.

Automatic Lung Field Segmentation in X-ray Radiographs Using Statistical Shape and Appearance Models

Qingmao Hu, Suhuai Luo, Jiaming Li, 2016 .

Fast retinal layer segmentation of spectral domain optical coherence tomography images

Guanglin Li, Qingmao Hu, Huimin Zheng, 2015, Journal of biomedical optics.

A Novel Technique for Robust and Fast Segmentation of Corneal Layer Interfaces Based on Spectral-Domain Optical Coherence Tomography Imaging

Guanglin Li, Qingmao Hu, Jianhuang Wu, 2017, IEEE Access.

A Hybrid Approach to Detection of Brain Hemorrhage Candidates from Clinical Head CT Scans

Qingmao Hu, Yonghong Li, Jianhuang Wu, 2009, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery.

Fast and Robust Segmentation of Head in T1-weighted Magnetic Resonance Volumes

Qingmao Hu, Wieslaw Lucjan Nowinski, Guoyu Qian, 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

Segmentation of hyper-acute cerebral infarct based on random forest and sparse coding from diffusion weighted imaging

Qingmao Hu, Xiaodong Zhang, Ahmed El-Azab, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Spatial relationship between the interhemispheric fissure plane and the head symmetry plane

Qingmao Hu, Wieslaw Lucjan Nowinski, 2003, CARS.

An Automatic Rib Segmentation Method on X-Ray Radiographs

Qingmao Hu, Suhuai Luo, Xuechen Li, 2015, MMM.

A Coupled Modified Reaction Diffusion and Biomechanical Models for Cerebral Tumor Growth Modeling in Presence of Treatment

Qingmao Hu, Tianfu Wang, Baiying Lei, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Automatic Magnetic Resonance Image Prostate Segmentation Based on Adaptive Feature Learning Probability Boosting Tree Initialization and CNN-ASM Refinement

Qingmao Hu, Fucang Jia, Baochun He, 2018, IEEE Access.

Delineation of Carpal Bones From Hand X-Ray Images Through Prior Model, and Integration of Region-Based and Boundary-Based Segmentations

Qingmao Hu, Xiaodong Zhang, Xiaoguang Cheng, 2018, IEEE Access.

Multi-Feature Guided Brain Tumor Segmentation Based on Magnetic Resonance Images

Qingmao Hu, Weifeng Li, Ye Ai, 2015, IEICE Trans. Inf. Syst..

A PCA-based approach to the representation and recognition of MR brain midsagittal plane images

Ye Zhang, Qingmao Hu, Ye Zhang, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Lung nodule classification using deep feature fusion in chest radiography

Qingmao Hu, Jianhuang Wu, Ahmed El-Azab, 2017, Comput. Medical Imaging Graph..

Rapid and Automatic Extraction of the Modified Talairach Cortical Landmarks from MR Neuroimages

Qingmao Hu, Wieslaw Lucjan Nowinski, Guoyu Qian, 2004, MIAR.

Low grade glioma growth modeling considering chemotherapy and radiotherapy effects from magnetic resonance images

Qingmao Hu, Xiaodong Zhang, Ahmed El-Azab, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Scale-adaptive surface modeling of vascular structures

Qingmao Hu, Jianhuang Wu, Fucang Jia, 2010, Biomedical engineering online.

Corrigendum to “Segmentation of Hyperacute Cerebral Infarcts Based on Sparse Representation of Diffusion Weighted Imaging”

Qingmao Hu, Jing Xue, Lu Su, 2018, Comput. Math. Methods Medicine.

Unsupervised learning of depth estimation from imperfect rectified stereo laparoscopic images

Qingmao Hu, Fucang Jia, Huoling Luo, 2021, Comput. Biol. Medicine.

Automatic Rib Segmentation in Chest CT Volume Data

Qingmao Hu, Li Zhang, Xiaodong Li, 2012, 2012 International Conference on Biomedical Engineering and Biotechnology.

A Simple Method to Calibrate Projection Matrix of C-Arm Cone-Beam CT

Qingmao Hu, Fucang Jia, Yuan Li, 2012, 2012 International Conference on Biomedical Engineering and Biotechnology.

Content based modified reaction-diffusion equation for modeling tumor growth of low grade glioma

Qingmao Hu, Fucang Jia, Ahmed Elazab, 2014, 2014 Cairo International Biomedical Engineering Conference (CIBEC).

Tractography-based Parcellation of the Human Middle Temporal Gyrus

Tianzi Jiang, Qingmao Hu, Lingzhong Fan, 2015, Scientific Reports.

Post-Surgery Glioma Growth Modeling from Magnetic Resonance Images for Patients with Treatment

Qingmao Hu, Ahmed Elazab, Hongmin Bai, 2017, Scientific Reports.

Computational evaluation of smoothed particle hydrodynamics for implementing blood flow modelling through CT reconstructed arteries.

Qingmao Hu, Jianhuang Wu, Kelvin K. L. Wong, 2017, Journal of X-ray science and technology.

Delineation of Intracerebral Hemorrhage from Clinical Non-Enhanced Computed Tomography Images

Qingmao Hu, Jianhuang Wu, Fucang Jia, 2010, 2010 4th International Conference on Bioinformatics and Biomedical Engineering.

Specific Functional Connectivity Patterns of Middle Temporal Gyrus Subregions in Children and Adults with Autism Spectrum Disorder

Qingmao Hu, Jiaojian Wang, Jingjing Gao, 2019, Autism research : official journal of the International Society for Autism Research.

Informatics in radiology: automatic and adaptive brain morphometry on MR images.

Qingmao Hu, Guoyu Qian, Michael Teistler, 2008, Radiographics : a review publication of the Radiological Society of North America, Inc.

Informatics in Radiology (infoRAD): three-dimensional atlas of the brain anatomy and vasculature.

Qingmao Hu, Aamer Aziz, Ihar Volkau, 2005, Radiographics : a review publication of the Radiological Society of North America, Inc.

A Preliminary Real-Time and Realistic Simulation Environment for Percutaneous Coronary Intervention

Qingmao Hu, Jianhuang Wu, Haoyu Wang, 2015, BioMed research international.