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Qingmao Hu
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2020 – today
- 2024
- [c28]Xiaodong Zhang, Changmiao Wang, Fengjun Zhu, Tong Mo, Yang Sun, Lin Li, Qingmao Hu, Jinping Xu, Dezhi Cao:
GLFF: A Global-Local Feature Fusion Model to Segment Epileptic Focus of Focal Cortical Dysplasia from Multi-Channel MR Images. ISBI 2024: 1-5 - 2022
- [j35]Huoling Luo, Congcong Wang, Xingguang Duan, Hao Liu, Ping Wang, Qingmao Hu, Fucang Jia
:
Unsupervised learning of depth estimation from imperfect rectified stereo laparoscopic images. Comput. Biol. Medicine 140: 105109 (2022) - [c27]Libo Liu, Chengjian Huang, Chunsheng Cai, Xiaodong Zhang, Qingmao Hu:
Multi-Task Learning Improves the Brain Stoke Lesion Segmentation. ICASSP 2022: 2385-2389 - [c26]Libo Liu, Xinxin Fan, Xiaodong Zhang, Qingmao Hu:
Lightweight Dual-Domain Network for Real-Time Medical Image Segmentation. ICIP 2022: 396-400 - 2021
- [j34]Liyilei Su
Generative adversarial network based data augmentation and gender-last training strategy with application to bone age assessment. Comput. Methods Programs Biomed. 212: 106456 (2021) - [c25]Chengjian Huang, Ming Liu, Haizhou Sun, Qingmao Hu:
Non-contrast CT Image Automatic Diagnosis of Large Hemispheric Infarction in Hyper-acute Phase Based on Convolutional Neural Network. AIPR 2021: 295-302 - [c24]Liyilei Su, Xianjun Fu, Qingmao Hu:
A convolutional generative adversarial framework for data augmentation based on a robust optimal transport metric. HPCC/DSS/SmartCity/DependSys 2021: 1155-1162 - [c23]Weifeng Zhang, Jiajia Ni, Zhen Chao, Qingmao Hu:
A Lightweight Object Detection Framework. IJCNN 2021: 1-7 - [c22]Weifeng Zhang, Jiajia Ni, Libo Liu, Qingmao Hu:
Symmetric Triangle Network for Object Detection Within X-ray Baggage Security Imagery. IJCNN 2021: 1-7 - 2020
- [j33]Huoling Luo, Dalong Yin, Shugeng Zhang, Deqiang Xiao, Baochun He, Fanzheng Meng, Yanfang Zhang, Wei Cai, Shenghao He, Wenyu Zhang, Qingmao Hu, Hongrui Guo, Shuhang Liang, Shuo Zhou, Shuxun Liu, Linmao Sun, Xiao Guo, Chihua Fang, Fucang Jia:
Augmented reality navigation for liver resection with a stereoscopic laparoscope. Comput. Methods Programs Biomed. 187: 105099 (2020) - [j32]Ahmed Elazab
GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images. Neural Networks 132: 321-332 (2020)
2010 – 2019
- 2019
- [j31]Ahmed El-Azab
An optimized generic cerebral tumor growth modeling framework by coupling biomechanical and diffusive models with treatment effects. Appl. Soft Comput. 80: 617-627 (2019) - [j30]Xiaodong Zhang, Yiqun Zhang, Qingmao Hu:
Deep learning based vein segmentation from susceptibility-weighted images. Computing 101(6): 637-652 (2019) - [j29]Jinping Xu, Jiaojian Wang
Electroconvulsive Therapy Induces Cortical Morphological Alterations in Major Depressive Disorder Revealed with Surface-Based Morphometry Analysis. Int. J. Neural Syst. 29(7): 1950005:1-1950005:17 (2019) - 2018
- [j28]Baochun He, Deqiang Xiao, Qingmao Hu, Fucang Jia
Automatic Magnetic Resonance Image Prostate Segmentation Based on Adaptive Feature Learning Probability Boosting Tree Initialization and CNN-ASM Refinement. IEEE Access 6: 2005-2015 (2018) - [j27]Liyilei Su
Delineation of Carpal Bones From Hand X-Ray Images Through Prior Model, and Integration of Region-Based and Boundary-Based Segmentations. IEEE Access 6: 19993-20008 (2018) - [j26]Ahmed El-Azab
Macroscopic Cerebral Tumor Growth Modeling From Medical Images: A Review. IEEE Access 6: 30663-30679 (2018) - [j25]Xiaodong Zhang, Shasha Jing, Peiyi Gao, Jing Xue, Lu Su, Weiping Li, Lijie Ren, Qingmao Hu
Corrigendum to "Segmentation of Hyperacute Cerebral Infarcts Based on Sparse Representation of Diffusion Weighted Imaging". Comput. Math. Methods Medicine 2018: 8092523:1 (2018) - [c21]Ahmed El-Azab
A Coupled Modified Reaction Diffusion and Biomechanical Models for Cerebral Tumor Growth Modeling in Presence of Treatment. EMBC 2018: 758-761 - 2017
- [j24]Tianqiao Zhang
A Novel Technique for Robust and Fast Segmentation of Corneal Layer Interfaces Based on Spectral-Domain Optical Coherence Tomography Imaging. IEEE Access 5: 10352-10363 (2017) - [j23]Changmiao Wang
Lung nodule classification using deep feature fusion in chest radiography. Comput. Medical Imaging Graph. 57: 10-18 (2017) - [c20]Ahmed El-Azab
Low grade glioma growth modeling considering chemotherapy and radiotherapy effects from magnetic resonance images. EMBC 2017: 3077-3080 - [c19]Xiaodong Zhang, Ahmed El-Azab
Segmentation of hyper-acute cerebral infarct based on random forest and sparse coding from diffusion weighted imaging. EMBC 2017: 3425-3428 - [c18]Jinliang Shao, Huoling Luo, Deqiang Xiao, Qingmao Hu, Fucang Jia:
Progressive Hand-Eye Calibration for Laparoscopic Surgery Navigation. CARE/CLIP@MICCAI 2017: 42-49 - 2016
- [j22]Xiaodong Zhang, Shasha Jing, Peiyi Gao, Jing Xue, Lu Su, Weiping Li, Lijie Ren, Qingmao Hu
Segmentation of Hyperacute Cerebral Infarcts Based on Sparse Representation of Diffusion Weighted Imaging. Comput. Math. Methods Medicine 2016: 2581676:1-2581676:14 (2016) - 2015
- [j21]Ahmed El-Azab
Segmentation of Brain Tissues from Magnetic Resonance Images Using Adaptively Regularized Kernel-Based Fuzzy c-Means Clustering. Comput. Math. Methods Medicine 2015: 485495:1-485495:12 (2015) - [j20]Ye Ai, Feng Miao, Qingmao Hu, Weifeng Li:
Multi-Feature Guided Brain Tumor Segmentation Based on Magnetic Resonance Images. IEICE Trans. Inf. Syst. 98-D(12): 2250-2256 (2015) - [c17]Yi Qin, Jianhuang Wu, Haoyu Wang, Qingmao Hu:
Simulation of contrast medium propagation in virtual vascular interventional radiology. FSKD 2015: 2587-2592 - [c16]Xuechen Li, Suhuai Luo
Rib suppression in chest radiographs for lung nodule enhancement. ICIA 2015: 50-55 - [c15]Xuechen Li, Suhuai Luo
An Automatic Rib Segmentation Method on X-Ray Radiographs. MMM (1) 2015: 128-139 - 2014
- [j19]Xiaodong Zhang, Fucang Jia, Suhuai Luo
A marker-based watershed method for X-ray image segmentation. Comput. Methods Programs Biomed. 113(3): 894-903 (2014) - 2013
- [j18]Yuanxiu Zhang, Mingyang Chen, Qingmao Hu, Wenhua Huang
Detection and quantification of intracerebral and intraventricular hemorrhage from computed tomography images with adaptive thresholding and case-based reasoning. Int. J. Comput. Assist. Radiol. Surg. 8(6): 917-927 (2013) - [j17]Jianjun Yuan, Lipei Liu, Qingmao Hu:
Mathematical modeling of brain glioma growth using modified reaction-diffusion equation on brain MR images. Comput. Biol. Medicine 43(12): 2007-2013 (2013) - [j16]Jianhuang Wu, Qingmao Hu, Xin Ma:
Comparative study of surface modeling methods for vascular structures. Comput. Medical Imaging Graph. 37(1): 4-14 (2013) - [j15]Shoujun Zhou, Wufan Chen, Fucang Jia, Qingmao Hu, Yaoqin Xie, Mingyang Chen, Jianhuang Wu:
Segmentation of brain magnetic resonance angiography images based on MAP-MRF with multi-pattern neighborhood system and approximation of regularization coefficient. Medical Image Anal. 17(8): 1220-1235 (2013) - 2012
- [j14]Yonghong Li, Liang Zhang, Qingmao Hu, Hong-Wei Li, Fucang Jia, Jianhuang Wu:
Automatic subarachnoid space segmentation and hemorrhage detection in clinical head CT scans. Int. J. Comput. Assist. Radiol. Surg. 7(4): 507-516 (2012) - [j13]Yonghong Li, Jianhuang Wu, Hongwei Li, Degang Li, Xiaohua Du, Zhijun Chen, Fucang Jia, Qingmao Hu:
Automatic Detection of the Existence of Subarachnoid Hemorrhage from Clinical CT Images. J. Medical Syst. 36(3): 1259-1270 (2012) - [c14]Xiaoxu Wang, Qingmao Hu, Pheng-Ann Heng
Left ventricle segmentation with mixture of Gaussian active contours. ISBI 2012: 230-233 - [c13]Kuan Zheng, Yuanxing Zhao, Jing Gu, Qingmao Hu:
License plate detection using Haar-like features and histogram of oriented gradients. ISIE 2012: 1502-1505 - 2010
- [j12]Jianhuang Wu, Renhui Ma, Xin Ma, Fucang Jia, Qingmao Hu:
Curvature-dependent surface visualization of vascular structures. Comput. Medical Imaging Graph. 34(8): 651-658 (2010) - [c12]Heye Zhang, Bo Li, Pengcheng Shi, Qingmao Hu, Pheng-Ann Heng
Recovering Cardiac Electrical Activity from Medical Image Sequence: A Model-Based Approach. STACOM/CESC 2010: 204-211
2000 – 2009
- 2009
- [c11]Yonghong Li, Qingmao Hu, Jianhuang Wu, Zhijun Chen:
A Hybrid Approach to Detection of Brain Hemorrhage Candidates from Clinical Head CT Scans. FSKD (1) 2009: 361-365 - 2008
- [j11]Qingmao Hu, Suhuai Luo
Supervised grayscale thresholding based on transition regions. Image Vis. Comput. 26(12): 1677-1684 (2008) - 2007
- [j10]Hsiao Piau Ng, Qingmao Hu, S. H. Ong, Kelvin Weng Chiong Foong
Segmentation of the temporalis muscle from MR data. Int. J. Comput. Assist. Radiol. Surg. 2(1): 19-30 (2007) - [j9]Yu Qiao, Qingmao Hu, Guoyu Qian, Suhuai Luo
Thresholding based on variance and intensity contrast. Pattern Recognit. 40(2): 596-608 (2007) - [j8]Zujun Hou, Wenlong Qian, Su Huang, Qingmao Hu, Wieslaw Lucjan Nowinski
Regularized fuzzy c-means method for brain tissue clustering. Pattern Recognit. Lett. 28(13): 1788-1794 (2007) - 2006
- [j7]Qingmao Hu, Wieslaw L. Nowinski
Radiological Symmetry of Brain and Head Images: Comparison and Applications. Int. J. Comput. Assist. Radiol. Surg. 1(2): 75-81 (2006) - [j6]Hsiao Piau Ng, S. H. Ong, Qingmao Hu, Kelvin Weng Chiong Foong
Muscles of mastication model-based MR image segmentation. Int. J. Comput. Assist. Radiol. Surg. 1(3): 137-148 (2006) - [j5]Zujun Hou, Qingmao Hu, Wieslaw Lucjan Nowinski
On minimum variance thresholding. Pattern Recognit. Lett. 27(14): 1732-1743 (2006) - [j4]Qingmao Hu, Zujun Hou, Wieslaw Lucjan Nowinski
Supervised range-constrained thresholding. IEEE Trans. Image Process. 15(1): 228-240 (2006) - [c10]Qingmao Hu, Guoyu Qian, Wieslaw Lucjan Nowinski:
Fast and Robust Segmentation of Head in T1-weighted Magnetic Resonance Volumes. ICARCV 2006: 1-4 - [c9]Zujun Hou, Su Huang, Qingmao Hu, Wieslaw Lucjan Nowinski
A Fast and Automatic Method to Correct Intensity Inhomogeneity in MR Brain Images. MICCAI (2) 2006: 324-331 - 2005
- [j3]Qingmao Hu, Guoyu Qian, Wieslaw Lucjan Nowinski
Fast connected-component labelling in three-dimensional binary images based on iterative recursion. Comput. Vis. Image Underst. 99(3): 414-434 (2005) - 2004
- [j2]Yan Xia, Qingmao Hu, Aamer Aziz, Wieslaw L. Nowinski
A knowledge-driven algorithm for a rapid and automatic extraction of the human cerebral ventricular system from MR neuroimages. NeuroImage 21(1): 269-282 (2004) - [c8]Qingmao Hu, Wieslaw Lucjan Nowinski
Knowledge-Driven Extraction of the Four Modified Talairach Cortical Landmarks (A, P, L, and R) from MR Neuroimages. BIBE 2004: 93-99 - [c7]Wenlong Qian, Zujun Hou, Qingmao Hu, Aamer Aziz, Wieslaw Lucjan Nowinski:
Segmentation of the Sylvian Fissure in Brain Mr Images. BIBE 2004: 115-124 - [c6]Wei Zuo, Qingmao Hu, Aamer Aziz, Kia-Fock Loe, Wieslaw Lucjan Nowinski:
Knowledge-driven segmentation of the central sulcus from human brain MR images. ICIP 2004: 2443-2446 - [c5]Qingmao Hu, Guoyu Qian, Wieslaw Lucjan Nowinski:
Rapid and Automatic Extraction of the Modified Talairach Cortical Landmarks from MR Neuroimages. MIAR 2004: 179-187 - [c4]Hui Tian, Su Huang, Qingmao Hu, Aamer Aziz, Wieslaw L. Nowinski
An automatic algorithm for rapid and accurate extraction of the human ventricular system from T2-weighted MR images. Image Processing 2004 - 2003
- [j1]Qingmao Hu, Wieslaw L. Nowinski
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. NeuroImage 20(4): 2153-2165 (2003) - [c3]Qingmao Hu, Wieslaw Lucjan Nowinski:
Spatial relationship between the interhemispheric fissure plane and the head symmetry plane. CARS 2003: 220-225 - [c2]Yan Xia, Qingmao Hu, Aamer Aziz, Wieslaw Lucjan Nowinski
Knowledge-Driven Automated Extraction of the Human Cerebral Ventricular System from MR Images. IPMI 2003: 270-281 - [c1]Yan Xia, Aamer Aziz, Qingmao Hu, Wieslaw Lucjan Nowinski:
Rapid and Automated Extraction of the Fourth Ventricle from MR Images. MICCAI (2) 2003: 635-643
Coauthor Index
aka: Wieslaw L. Nowinski
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