Spatial relationship between the interhemispheric fissure plane and the head symmetry plane. - Qingmao Hu; Wieslaw Lucjan Nowinski (CARS, 2003)

Knowledge-Driven Automated Extraction of the Human Cerebral Ventricular System from MR Images. - Yan Xia; Qingmao Hu; Aamer Aziz; Wieslaw Lucjan Nowinski (IPMI, 2003)

Rapid and Automated Extraction of the Fourth Ventricle from MR Images. - Yan Xia; Aamer Aziz; Qingmao Hu; Wieslaw Lucjan Nowinski (MICCAI (2), 2003)

A rapid algorithm for robust and automatic extraction of the midsagittal plane of the human cerebrum from neuroimages based on local symmetry and outlier removal. - Qingmao Hu; Wieslaw L. Nowinski (NeuroImage, 2003)

Knowledge-Driven Extraction of the Four Modified Talairach Cortical Landmarks (A, P, L, and R) from MR Neuroimages. - Qingmao Hu; Wieslaw Lucjan Nowinski (BIBE, 2004)

Segmentation of the Sylvian Fissure in Brain Mr Images. - Wenlong Qian; Zujun Hou; Qingmao Hu; Aamer Aziz; Wieslaw Lucjan Nowinski (BIBE, 2004)

Knowledge-driven segmentation of the central sulcus from human brain MR images. - Wei Zuo; Qingmao Hu; Aamer Aziz; Kia-Fock Loe; Wieslaw Lucjan Nowinski (ICIP, 2004)

Rapid and Automatic Extraction of the Modified Talairach Cortical Landmarks from MR Neuroimages. - Qingmao Hu; Guoyu Qian; Wieslaw Lucjan Nowinski (MIAR, 2004)

An automatic algorithm for rapid and accurate extraction of the human ventricular system from T2-weighted MR images. - Hui Tian; Su Huang; Qingmao Hu; Aamer Aziz; Wieslaw L. Nowinski (Image Processing, 2004)

A knowledge-driven algorithm for a rapid and automatic extraction of the human cerebral ventricular system from MR neuroimages. - Yan Xia; Qingmao Hu; Aamer Aziz; Wieslaw L. Nowinski (NeuroImage, 2004)

Fast connected-component labelling in three-dimensional binary images based on iterative recursion. - Qingmao Hu; Guoyu Qian; Wieslaw Lucjan Nowinski (Comput. Vis. Image Underst., 2005)

Fast and Robust Segmentation of Head in T1-weighted Magnetic Resonance Volumes. - Qingmao Hu; Guoyu Qian; Wieslaw Lucjan Nowinski (ICARCV, 2006)

A Fast and Automatic Method to Correct Intensity Inhomogeneity in MR Brain Images. - Zujun Hou; Su Huang; Qingmao Hu; Wieslaw Lucjan Nowinski (MICCAI (2), 2006)

Radiological Symmetry of Brain and Head Images: Comparison and Applications. - Qingmao Hu; Wieslaw L. Nowinski (Int. J. Comput. Assist. Radiol. Surg., 2006)

Muscles of mastication model-based MR image segmentation. - Hsiao Piau Ng; S. H. Ong 001; Qingmao Hu; Kelvin Weng Chiong Foong; Poh-Sun Goh; Wieslaw Lucjan Nowinski (Int. J. Comput. Assist. Radiol. Surg., 2006)

On minimum variance thresholding. - Zujun Hou; Qingmao Hu; Wieslaw Lucjan Nowinski (Pattern Recognit. Lett., 2006)

Supervised range-constrained thresholding. - Qingmao Hu; Zujun Hou; Wieslaw Lucjan Nowinski (IEEE Trans. Image Process., 2006)

Segmentation of the temporalis muscle from MR data. - Hsiao Piau Ng; Qingmao Hu; S. H. Ong 001; Kelvin Weng Chiong Foong; Poh-Sun Goh; J. Liu; Wieslaw Lucjan Nowinski (Int. J. Comput. Assist. Radiol. Surg., 2007)

Thresholding based on variance and intensity contrast. - Yu Qiao 002; Qingmao Hu; Guoyu Qian; Suhuai Luo; Wieslaw L. Nowinski (Pattern Recognit., 2007)

Regularized fuzzy c-means method for brain tissue clustering. - Zujun Hou; Wenlong Qian; Su Huang; Qingmao Hu; Wieslaw Lucjan Nowinski (Pattern Recognit. Lett., 2007)

Supervised grayscale thresholding based on transition regions. - Qingmao Hu; Suhuai Luo; Yu Qiao 002; Guoyu Qian (Image Vis. Comput., 2008)

A Hybrid Approach to Detection of Brain Hemorrhage Candidates from Clinical Head CT Scans. - Yonghong Li; Qingmao Hu; Jianhuang Wu; Zhijun Chen (FSKD (1), 2009)

Recovering Cardiac Electrical Activity from Medical Image Sequence: A Model-Based Approach. - Heye Zhang; Bo Li; Pengcheng Shi; Qingmao Hu; Pheng-Ann Heng (STACOM/CESC, 2010)

Curvature-dependent surface visualization of vascular structures. - Jianhuang Wu; Renhui Ma; Xin Ma; Fucang Jia; Qingmao Hu (Comput. Medical Imaging Graph., 2010)

Left ventricle segmentation with mixture of Gaussian active contours. - Xiaoxu Wang; Qingmao Hu; Pheng-Ann Heng (ISBI, 2012)

License plate detection using Haar-like features and histogram of oriented gradients. - Kuan Zheng; Yuanxing Zhao; Jing Gu; Qingmao Hu (ISIE, 2012)

Automatic subarachnoid space segmentation and hemorrhage detection in clinical head CT scans. - Yonghong Li; Liang Zhang; Qingmao Hu; Hong-Wei Li; Fucang Jia; Jianhuang Wu (Int. J. Comput. Assist. Radiol. Surg., 2012)

Automatic Detection of the Existence of Subarachnoid Hemorrhage from Clinical CT Images. - Yonghong Li; Jianhuang Wu; Hongwei Li 004; Degang Li; Xiaohua Du; Zhijun Chen; Fucang Jia; Qingmao Hu (J. Medical Syst., 2012)

Detection and quantification of intracerebral and intraventricular hemorrhage from computed tomography images with adaptive thresholding and case-based reasoning. - Yuanxiu Zhang; Mingyang Chen; Qingmao Hu; Wenhua Huang (Int. J. Comput. Assist. Radiol. Surg., 2013)

Mathematical modeling of brain glioma growth using modified reaction-diffusion equation on brain MR images. - Jianjun Yuan 001; Lipei Liu; Qingmao Hu (Comput. Biol. Medicine, 2013)

Comparative study of surface modeling methods for vascular structures. - Jianhuang Wu; Qingmao Hu; Xin Ma (Comput. Medical Imaging Graph., 2013)

Segmentation of brain magnetic resonance angiography images based on MAP-MRF with multi-pattern neighborhood system and approximation of regularization coefficient. - Shoujun Zhou; Wufan Chen; Fucang Jia; Qingmao Hu; Yaoqin Xie; Mingyang Chen; Jianhuang Wu (Medical Image Anal., 2013)

A marker-based watershed method for X-ray image segmentation. - Xiaodong Zhang 024; Fucang Jia; Suhuai Luo; Guiying Liu; Qingmao Hu (Comput. Methods Programs Biomed., 2014)

Simulation of contrast medium propagation in virtual vascular interventional radiology. - Yi Qin; Jianhuang Wu; Haoyu Wang; Qingmao Hu (FSKD, 2015)

Rib suppression in chest radiographs for lung nodule enhancement. - Xuechen Li; Suhuai Luo; Qingmao Hu; Jiaming Li 001; Dadong Wang (ICIA, 2015)

An Automatic Rib Segmentation Method on X-Ray Radiographs. - Xuechen Li; Suhuai Luo; Qingmao Hu (MMM (1), 2015)

Segmentation of Brain Tissues from Magnetic Resonance Images Using Adaptively Regularized Kernel-Based Fuzzy c-Means Clustering. - Ahmed El-Azab; Changmiao Wang; Fucang Jia; Jianhuang Wu; Guanglin Li 001; Qingmao Hu (Comput. Math. Methods Medicine, 2015)

Multi-Feature Guided Brain Tumor Segmentation Based on Magnetic Resonance Images. - Ye Ai; Feng Miao; Qingmao Hu; Weifeng Li 001 (IEICE Trans. Inf. Syst., 2015)

Segmentation of Hyperacute Cerebral Infarcts Based on Sparse Representation of Diffusion Weighted Imaging. - Xiaodong Zhang 024; Shasha Jing; Peiyi Gao; Jing Xue; Lu Su; Weiping Li; Lijie Ren; Qingmao Hu (Comput. Math. Methods Medicine, 2016)

Low grade glioma growth modeling considering chemotherapy and radiotherapy effects from magnetic resonance images. - Ahmed El-Azab; Hongmin Bai; Xiaodong Zhang 024; Qingmao Hu (EMBC, 2017)

Segmentation of hyper-acute cerebral infarct based on random forest and sparse coding from diffusion weighted imaging. - Xiaodong Zhang 024; Ahmed El-Azab; Qingmao Hu (EMBC, 2017)

Progressive Hand-Eye Calibration for Laparoscopic Surgery Navigation. - Jinliang Shao; Huoling Luo; Deqiang Xiao; Qingmao Hu; Fucang Jia (CARE/CLIP@MICCAI, 2017)

A Novel Technique for Robust and Fast Segmentation of Corneal Layer Interfaces Based on Spectral-Domain Optical Coherence Tomography Imaging. - Tianqiao Zhang; Ahmed El-Azab; Xiaogang Wang; Fucang Jia; Jianhuang Wu; Guanglin Li 001; Qingmao Hu (IEEE Access, 2017)

Lung nodule classification using deep feature fusion in chest radiography. - Changmiao Wang; Ahmed El-Azab; Jianhuang Wu; Qingmao Hu (Comput. Medical Imaging Graph., 2017)

A Coupled Modified Reaction Diffusion and Biomechanical Models for Cerebral Tumor Growth Modeling in Presence of Treatment. - Ahmed El-Azab; Hongmin Bai; Mengya Yang; Qingmao Hu; Minh Hung Le; Tianfu Wang 001; Baiying Lei (EMBC, 2018)

Macroscopic Cerebral Tumor Growth Modeling From Medical Images: A Review. - Ahmed El-Azab; Yousry M. AbdulAzeem; Ahmed M. Anter; Qingmao Hu; Tianfu Wang 001; Baiying Lei (IEEE Access, 2018)

Automatic Magnetic Resonance Image Prostate Segmentation Based on Adaptive Feature Learning Probability Boosting Tree Initialization and CNN-ASM Refinement. - Baochun He; Deqiang Xiao; Qingmao Hu; Fucang Jia (IEEE Access, 2018)

Delineation of Carpal Bones From Hand X-Ray Images Through Prior Model, and Integration of Region-Based and Boundary-Based Segmentations. - Liyilei Su; Xianjun Fu; Xiaodong Zhang 024; Xiaoguang Cheng; Yimin Ma; Yungen Gan; Qingmao Hu (IEEE Access, 2018)

Corrigendum to "Segmentation of Hyperacute Cerebral Infarcts Based on Sparse Representation of Diffusion Weighted Imaging". - Xiaodong Zhang 024; Shasha Jing; Peiyi Gao; Jing Xue; Lu Su; Weiping Li; Lijie Ren; Qingmao Hu (Comput. Math. Methods Medicine, 2018)

An optimized generic cerebral tumor growth modeling framework by coupling biomechanical and diffusive models with treatment effects. - Ahmed El-Azab; Ahmed M. Anter; Hongmin Bai; Qingmao Hu; Zakir Hussain; Dong Ni 001; Tianfu Wang 001; Baiying Lei (Appl. Soft Comput., 2019)

Deep learning based vein segmentation from susceptibility-weighted images. - Xiaodong Zhang 024; Yiqun Zhang; Qingmao Hu (Computing, 2019)

Electroconvulsive Therapy Induces Cortical Morphological Alterations in Major Depressive Disorder Revealed with Surface-Based Morphometry Analysis. - Jinping Xu; Jiaojian Wang; Tongjian Bai; Xiaodong Zhang 024; Tian Li; Qingmao Hu; Hongming Li; Li Zhang; Qiang Wei; Yanghua Tian; Kai Wang (Int. J. Neural Syst., 2019)

Augmented reality navigation for liver resection with a stereoscopic laparoscope. - Huoling Luo; Dalong Yin; Shugeng Zhang; Deqiang Xiao; Baochun He; Fanzheng Meng; Yanfang Zhang; Wei Cai; Shenghao He; Wenyu Zhang; Qingmao Hu; Hongrui Guo; et al. (Comput. Methods Programs Biomed., 2020)

GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images. - Ahmed Elazab; Changmiao Wang; Syed Jamal Safdar Gardezi; Hongmin Bai; Qingmao Hu; Tianfu Wang 001; Chunqi Chang; Baiying Lei (Neural Networks, 2020)

Non-contrast CT Image Automatic Diagnosis of Large Hemispheric Infarction in Hyper-acute Phase Based on Convolutional Neural Network. - Chengjian Huang; Ming Liu; Haizhou Sun; Qingmao Hu (AIPR, 2021)

A convolutional generative adversarial framework for data augmentation based on a robust optimal transport metric. - Liyilei Su; Xianjun Fu; Qingmao Hu (HPCC/DSS/SmartCity/DependSys, 2021)

A Lightweight Object Detection Framework. - Weifeng Zhang; Jiajia Ni; Zhen Chao; Qingmao Hu (IJCNN, 2021)

Symmetric Triangle Network for Object Detection Within X-ray Baggage Security Imagery. - Weifeng Zhang; Jiajia Ni; Libo Liu; Qingmao Hu (IJCNN, 2021)

Generative adversarial network based data augmentation and gender-last training strategy with application to bone age assessment. - Liyilei Su; Xianjun Fu; Qingmao Hu (Comput. Methods Programs Biomed., 2021)

Multi-Task Learning Improves the Brain Stoke Lesion Segmentation. - Libo Liu; Chengjian Huang; Chunsheng Cai; Xiaodong Zhang; Qingmao Hu (ICASSP, 2022)

Lightweight Dual-Domain Network for Real-Time Medical Image Segmentation. - Libo Liu; Xinxin Fan; Xiaodong Zhang; Qingmao Hu (ICIP, 2022)

Unsupervised learning of depth estimation from imperfect rectified stereo laparoscopic images. - Huoling Luo; Congcong Wang; Xingguang Duan; Hao Liu 008; Ping Wang; Qingmao Hu; Fucang Jia (Comput. Biol. Medicine, 2022)

GLFF: A Global-Local Feature Fusion Model to Segment Epileptic Focus of Focal Cortical Dysplasia from Multi-Channel MR Images. - Xiaodong Zhang; Changmiao Wang; Fengjun Zhu; Tong Mo; Yang Sun; Lin Li; Qingmao Hu; Jinping Xu; Dezhi Cao (ISBI, 2024)