论文发表:共41篇。SCI/EI检索40篇

期刊 (Journal)

1) H. Chang, Q. Wen, and B. Parvin, “Coupled segmentation of nuclear and membrane-bound macromolecules through voting and multiphase level set,” Pattern Recognition, vol. 48, no. 2, 2015.(SCI-E)

(2) M. E. Celebi, S. Hwang, and Q. Wen “An effective real-time color quantization method based on divisive hierarchical clustering,” Journal of Real-Time Image Processing, vol. 10, no. 3, 2015. (SCI-E)

(3) M. E. Celebi, S. Hwang, and Q. Wen, “Colour quantisation using the adaptive distributing units algorithm,” The Imaging Science Journal, vol. 62, no. 2, pp. 80-91, Feb. 2014. (SCI-E)

(4) M. E. Celebi, S. Hwang, and Q. Wen, “Colour quantisation using the adaptive distributing units algorithm,” The Imaging Science Journal, vol. 62, no. 2, pp. 80-91, Feb. 2014. (SCI-E)

(5) M. E. Celebi, Q. Wen, S. Hwang, H. Iyatomi, and G. Schaefer, “Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods,” Skin Research and Technology, vol. 19, no. 1, pp. e252–e258, 2013. (SCI-E)

(6) M. E.Celebi, Q. Wen, and S. Hwang, “An effective real-time color quantization method based on divisive hierarchical clustering,” Special Issue, Journal of Real-Time Image Processing, Nov. 2012, DOI 10.1007/s11554-012-0291-4. (SCI-E)

(7) Q. Wen and M. E. Celebi, “Hard Versus Fuzzy C-Means Clustering for Color Quantization,” EURASIP Journal on Advances in Signal Processing, vol. 2011, no. 1, p. 118, 25 Nov., 2011. (SCI-E)

(8) Q. Wen, J. Gao, and K. Luby-Phelps, “Tracking multiple interacting subcellular structure by sequential Monte Carlo method,” International Journal of Data Mining and Bioinformatics, vol. 3, no. 3, pp. 314-322, 2009. (SCI-E)

(9) S. Gopinath, Q. Wen, N. Thakoor, K. luby Phelps, and J. Gao, “A statistical approach for intensity loss compensation of confocal microscopy images,” Journal of Microscopy, vol. 230, pp. 143-159, 2008. (SCI-E)

(10) K. Nojima, S. Brown, C. A. J. Janis, G. Arbique, T. Abulezz, J. Gao, Q. Wen, K. Kurihara, and R. Rohrich, “Defining vascular supply and territory of thinned perforator flaps: Part II superior gluteal artery perforator flap,” Plastic & Reconstructive Surgery, vol. 118, no. 6, pp. 1338-1348, Nov 2006. (SCI-E)

专著章节 (Book Chapter)

(11) M. Emre Celebi, QuanWen, Sae Hwang, and Gerald Schaefer, “Color Quantization of Dermoscopy Images Using the K-Means Clustering Algorithm,” Color Medical Image Analysis, Springer, pp. 87-107, 2013.

国际会议 (Conference)

(12) Q. Wen, D. Ming, J. Chen, and W. Liu, “A superpixel based post-processing approach for segmenting dermoscopy images,” IEEE International Conference on Advanced Computational Intelligence (ICACI), pp. 155-158, Hangzhou, China, Oct. 19-21, 2013, poster. (EI)

(13) Q. Wen, D. Ming, and J. Chen, “A novel fusion approach for segmenting dermoscopy image based on region consistency,” IEEE International Conference on Computational Problem-Solving (ICCP), pp. 267-270, Jiuzhai Valley, China, Oct. 26-28, 2013, poster. (EI)

(14) Q. Wen, J. Chen, and W. Liu, “Quantitative analysis on mobility behaviors of fluorescent marker proteins using the graph model,” IEEE International Congress on Image and Signal Processing (CISP), pp. 647-651, Hangzhou, China, Dec. 16-18, 2013, poster. (EI)

(15) Q. Wen, J. Chen, and W. Liu, “Biologically inspired classification of microvessel histopathology via sparse coding,” IEEE International Conference on Advanced Computational Intelligence (ICACI), pp. 114-118, Hangzhou, China, Oct. 19-21, 2013, poster. (EI)

(16) Q. Wen, J. Chen, and W. Liu, “A predictive coding approach on microvessel identification via single-opponent signals,” IEEE International Congress on Image and Signal Processing (CISP), pp. 1530-1534, Hangzhou, China, Dec. 16-18, 2013, poster. (EI)

(17) D. Ming, Q. Wen, J. Chen, and W. Liu, “A generalized fusion approach for segmenting dermoscopy images using markov random field,” IEEE International Congress on Image and Signal Processing (CISP), pp. 508-513, Hangzhou, China, Dec. 16-18, 2013, poster. (EI)

(18) M.E. Celebi and Q. Wen, “Variance-cut: a fast color quantization method based on hierarchical clustering,” in Proceedings of the 10th International Conference on Electronics, Computer and Computation (ICECCO 2013), pp. 103-106, Ankara, Turkey, Nov. 7-9, 2013, Oral. (EI)

(19) M. Mete, J. Chen, Q. Wen, and X. Liu, “Color region annotation for microvessel density Estimation,” 2012 International Conference on Wavelet Active Media Technology and Information Processing, 17-19 December 2012, Chengdu China, pp. 145-148. (EI)

(20) J. Chen, Q. Wen, Z. Pang, and M. Mete, “An Effective Approach Towards Color Image Segmentation for Micro-Vessel Detection,” 2012 3rd International Conference on Computational Problem-Solving, 19-21 October 2012, Leshan China, pp. 59-63. (EI)

(21) J. Chen, Q. Wen, C. Zhuo, and M. Mete, “Pose Recognition of Giant Pandas Based on Gradient Shapes”, 2012 3rd International Conference on Computational Problem-Solving, 19-21 October 2012, Leshan China, pp. 358-362. (EI)

(22) Q. Wen, W. Qu, J. Chen, and M. Mete, “A Novel Method for Counting Subcellular Structures Labeled by Green Fluorescent Protein,” 2012 3rd International Conference on Computation Problem-Solving, 19-21 October 2012, Leshan China, pp. 500-503. (EI)

(23) Q. Wen, W. M. Qu, J. Chen, and M. Mete “A Novel Method for Counting Subcellular Structures Labeled by Green Fluorescent” 2012International Conference on Computational Problem-solving (ICCP2012), Oct. 19-21, 2012, Chengdu and Leshan, China，pp. 500-503. (EI)

(24) J. Chen, Q. Wen, C. Zhuo, and M. Mete, “Extraction of Color Entropy Sequence for Micro-vessel Detection in Virtual Slide,” 2012 5th International Congress on Image and Signal Processing, 16-18 October 2012, Chongqing, China, pp. 1028-1032. (EI)

(25) J. Chen, Q. Wen, W. Qu, and M. Mete, “Panda Facial Region Detection Based on Topology Modelling,” 2012 5th International Congress on Image and Signal Processing, 16-18 October 2012, Chongqing, China, pp. 1072-1076. (EI)

(26) J. Chen, Q. Wen, C. Zhuo, and M. Mete, “Automatic Head Detection for Passenger Flow Analysis in Bus Surveillance Videos,” 2012 5th International Congress on Image and Signal Processing, 16-18 October 2012, Chongqing, China, pp. 164-168. (EI)

(27) J. Chen, Q. Wen, C. Zhuo, and M. Mete, “A Novel Approach Towards Head Detection of Giant Pandas in the Free-Range Environment,” 2012 5th International Congress on Image and Signal Processing, 16-18 October 2012, Chongqing, China, pp. 971-975. (EI)

(28) M. E. Celebi, Q. Wen, G. Schaefer, and H. Zhou, “Batch Neural Gas with Deterministic Initialization for Color Quantization,” in 6 th Proc. Int. Conf. on Computer Vision and Graphics (ICCVG 2012), L. Bolc et al. (eds.), “Computer Vision and Graphics”, Lecture Notes in Computer Science, LNCS Vol. 7594, Springer, Sep. 24–26, 2012, pp. 48-54. (EI)

(29) M. E. Celebi, Q. Wen, and J. Chen, "Color Quantization Using C-Means Clustering Algorithms," in Proceedings of 18th IEEE International Conference on Image Processing (ICIP 2011), Brussels, Belgium, Sep. 11-14, 2011, pp. 1729–1732. (EI)

(30) Q. Wen, M. E. Celebi, and G. Schaefer, “A Comparative Study of K-Means and Fuzzy C-Means for Color Reduction,” in proceedings of 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV’11), Oral, Las Vegas, Nevada, US, July 18-21, 2011. (Oral) (EI)

(31) Q. Wen, J. Gao, and K. Luby-Phelps, “Tracking Variable Number of Multiple Subcellular Structures in 3D,” in proceedings of IEEE International Conference of the Engineering in Medicine and Biology Society (EMBC2009), Minneapolis, MN, Sep. 2-6, pp. 1465-1468. (EI)

(32) Q. Wen, H. Chang, and B. Parvin, “Delaunay triangulation approach for segmenting clumps of nuclei”, in proceedings of IEEE International Symposium on Biomedical Imaging: From Nano to Macro, (ISBI '09). June 2009, pp. 9-12, Boston, MA.(EI)

(33) Q. Wen, J. Gao, and K. Luby-Phelps, “Multiple interacting subcellular structure tracking by sequential Monte Carlo method,” in proceedings of IEEE International Conference on Bioinformatics and Medicine (BIBM2007), Silicon Valley, Nov. 2007, pp. 437-442. (EI)

(34) Q. Wen and J. Gao, “Tracking interacting subcellular structures by sequential Monte Carlo method,” in proceedings of IEEE International Conference of Engineering in Medicine and Biology Society (EMBC2007), Lyon, France, 22-26 Aug. 2007, pp. 4185-4188. (EI)

(35) Q. Wen, J. Gao, and K. Luby-Phelps, “Markov chain Monte Carlo data association for merge and split detection in tracking protein clusters,” in proceedings of IEEE International Conference on Pattern Recognition (ICPR2006) (15% oral acceptance rate), vol. 1, Hong Kong, 2006, pp. 1030-1033. (EI)

(36) N. Thakoor, S. Jung, Q. Wen, and J. Gao, “Occlusion resistant shape classifier based on warped optimal path matching,” in proceedings of IEEE International Conference on Pattern Recognition (ICPR 2006) ) (15% oral acceptance rate), Hong Kong, Aug. 2006, pp. 60-63. (EI)

(37) Q. Wen, J. Gao, and K. Luby-Phelps, “Feature selection, matching, and evaluation for subcellular structure tracking,” in proceedings of IEEE International Conference of the Engineering in Medicine and Biology Society (EMBC 2006), NYC, Aug. 2006, pp. 3013-3016. (EI)

(38) Q. Wen, Jean Gao, and K. Luby-Phelps, “Region-based tracking of protein compounds,” in proceedings of IEEE International Symposium on Biomedical Imaging (ISBI 2006), VA, April 2006. pp.574-577. (EI)

(39) Q. Wen, J. Gao, A. Kosaka, H. Iwaki, H, K. Luby-Phelps, and D. Mundy, “A particle filter framework using optimal importance function for protein molecules tracking,” in proceedings of IEEE International Conference on Image Processing (ICIP 2005), Sept. 2005, Vol. 1, pp.1161- 1164. (EI)

(40) Q. Wen and J. Gao, “Shape-based 3D vascular tree extraction for perforator flaps,” in proceedings of SPIE on Medical Imaging, vol. 5747, 2005, pp. 1855-1863. (EI)

(41) J. Gao and Q. Wen, “Automatic 3D vascular tree construction of perforator flaps for plastic surgery planning,” in proceedings of IEEE International Conference of the Engineering in Medicine and Biology Society (EMBC 2004), San Francisco, CA. Sep. 2004, pp.3424-3427. (EI)