HU Qingmao

Dr Hu received PhD in August 1990 from Huazhong University of Science and Technology, majored in industrial automation and specialized in robot vision. Since then, he joined the Key Lab for Medical Imaging of the People’s Liberation Army, the First Military Medical University as a lecturer, associate professor and professor. He joined Maurice E Muller Institute of Biomechanics, University of Bern, Switzerland as a guest scientist and postdoc form June 1996 to March 2003. He was employed as an associate scientist, scientist and senior scientist by Biomedical Imaging Lab, Agency for Science, Technology and Research form April 2000 to March 2007. He served as an adjunct supervisor for postgraduate students and post-doctors by National University of Singapore since 2003. He then resigned from Singapore and have joined Shenzhen Institutes of Advanced Technology since December 2006, as a professor and vice director with the Research Center for Human-Computer Interaction. 

Biomedical image analysis, computer assisted diagnosis of diseases based on medical image analysis, computer vision, and pattern recognition.

Representative articles in descending temporal order.

1. Prediction of infarct core and salvageable ischemic tissue volumes by analyzing apparent diffusion coefficient without intravenous contrast material. Academic Radiology 2010; 17(12): 1506-1517 (Impact factor IF = 2.09).

2.  Assessing the existence of ischemic penumbra through automatically analyzing baseline diffusion-weighted imaging. Journal of Cerebral Blood Flow and Metabolism 2009; 29: S600-601 (IF=5.46).

3.   Supervised greyscale thresholding based on transition regions. Image and Vision Computing 2008; 26: 1677-1684 (IF = 1.47).

4.   Automatic and adaptive brain morphometry on MR images. RadioGraphics 2008; 28(2): 345-356 (IF = 2.75).

5.   Thresholding based on variance and intensity contrast. Pattern Recognition 2007; 40(2): 596-608 (IF = 2.55).

6.   Analysis of ischemic stroke MR images by means of brain atlases of anatomy and blood supply territories. Academia Radiology 2006; 13: 1025-1034 (IF = 2.09).

7.   Supervised range-constrained thresholding. IEEE Transactions on Image Processing 2006; 15(1): 228-240 (IF = 2.85).

8.        Rapid and automatic localization of the anterior and posterior commissure point landmarks in MR volumetric neuroimages. Academic Radiology 2006; 13(1): 36-54 (IF= 2.09).

9.   Fast connected-component labeling in three-dimensional binary images based on iterative recursion. Computer Vision and Image Understanding 2005; 99: 414-434 (IF= 1.68).

10.Fast, accurate and automatic extraction of the modified Talairach cortical landmarks from MR images. Magnetic Resonance in Medicine 2005; 53(4): 970-976 (IF = 3.23).

11.Three-dimensional brain atlas of anatomy and vasculature. Radiographics 2005; 25: 263-271 (IF = 2.75).

12.A knowledge-driven algorithm for a rapid and automatic extraction of the human cerebral ventricular system from MR neuroimages. Neuroimage 2004; 21 (1): 269-282 (IF = 5.74).

13. 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 2003; 20(4): 2154-2166 (IF = 5.74).

14. A fast impingement detection algorithm for computer aided orthopaedic surgery. Computer Aided Surgery 2001; 6(2): 104-110 (IF = 1.22).

15. New system for image analysis in nailfold capillaroscopy. Microcirculation 1999; 6: 227-235 (IF = 2.37).

Calibration problems for dimensional measurements of microvessels using TV methods. International Journal of Microcirculation 1997; 17: 97-99 (incorporated into Journal of Vascular Research since 1998, IF = 2.90).

Ø         Proposed image segmentation framework by combining prior knowledge and conventional image processing methods;

Ø         Published 110 peer-reviewed papers, including 27 SCI indexed papers, with a sum of SCI impact factor of 58 and 100 quotations by other SCI papers;

Ø         Filed more than 20 international patents;

Ø         Developed 5 medical image analysis systems which have been deployed in China, Switzerland, US, Japan and other European countries;

Ø         Won RSNA merit award 3 times, ASNR first prize 1 time, 2 prizes of advancement in science and technology of the People’s Liberation Army 2 times;

Ø         Awarded One Hundred Talent Program of the Chinese Academy of Sciences in 2008;

Awarded Distinguished Professor of Shenzhen in the area of pattern recognition and intelligent system in 2010.