1 denotes student (e.g., C. Yang1), 2 denotes postdoc/RA (e.g., Z. He2), and 3 denotes former supervisor (e.g.,
H. Zhao3)
Books
1. W. Yu. Local Orientation Analysis in Images and Image Sequences Using Steerable Filters. Shaker Verlag, Aachen, Germany, February 2001, ISBN 3-8265-8442-2.
2. W. Yu, M. Zhang, L. Wang, and Y. Song, Editors, Proceedings of the 3rd International Conference on BioMedical Engineering and Informatics, Yantai University Press, China, 2010, ISBN 978-1-4244-6496-8.
Book Chapters
B1. W. Yu, B. Wu, T. Huang, X.
Li, K. Williams, and H. Zhao3. Statistical Methods In
Proteomics. In Springer Handbook of Engineering Statistics
(editor: H. Pham),
Springer-Verlag, London, UK, pp.623-638, 2006.
B2. W. Yu, B. Wu, J. Liu, X. Li, K. Williams, and H. Zhao3. MALDI-MS Data Analysis for Disease Biomarker
Discovery. In New and Emerging Proteomics Techniques (editors: D. Nedelkov and R. W. Nelson), Humana Press Inc., Totowa, New Jersey, USA, pp.199-216, 2006.
B3. N. Lin, W. Yu, and J.S. Duncan3.
Echocardiographic Image Analysis. In Medical Imaging Systems (editor: C.T. Leondes), World
Scientific Publishing Company, New Jersey, USA, pp.89-108, 2005.
Refereed Journal papers
J64. S. Zhang1, W.
Jiang2, R. Ma, and W. Yu. Region-Based Interaction Detection in
Genome-Wide Case-Control Studies, in press.
J63. J. Dai1, W.
Jiang2, F. Yu2,
and W. Yu. Xolik:
Finding cross-linked peptides with maximum paired scores in linear time. Bioinformatics, 35(2):251-257,
2019.
J62. S. Liu+, F. Yu2+, Q. Hu, T. Wang, L. Yu, S. Du, W. Yu*, and N. Li*. Development of in Planta Chemical
Cross-Linking-Based Quantitative Interactomics in
Arabidopsis. Journal of Proteome
Research, 17: 3195-3213, 2018. (+ co-first author. * co-corresponding author).
J61. S. Liu+, F. Yu2+, Z Yang, T. Wang, H.
Xiong, C. Chang, W.
Yu*, and N. Li*. Establishment of dimethyl labelling-based quantitative acetylproteomics in Arabidopsis. Molecular and Cellular Proteomics, 17(5):1010-1027, 2018. (+ co-first
author. * co-corresponding
author).
J60. D. Yip, L. Chan, I. Pang, W. Jiang2, N. Tang, W. Yu, and K. Yip. A network approach
to exploring the functional basis of gene�Vgene epistatic
interactions in disease susceptibility. Bioinformatics,
34(10):1741-1749, 2018.
J59.
W. Jiang1 and W. Yu.
Jointly determining significance levels of primary and replication studies by
controlling the false discovery rate in two-stage genome-wide association
studies, Statistical Methods in Medical Research, 27(9):2795-2808,2018.
J58. F. Yu1, N. Li,
and W. Yu. Exhaustively
Identifying Cross-Linked Peptides with a Linear Computational Complexity, Journal of Proteome Research, 16:3942-3952,
2017.
J57. Y. An, G. Xue,
S. Yang, M. Deng, X. Zhou1, W. Yu,
T. Ishibashi, L. Zhang, and Y. Yan. Apical
constriction is driven by a pulsatile apical myosin network in delaminating
Drosophila neuroblasts. Development, 144(12):2153-2164, 2017.
J56. C. Zhang1, T. Liang, P. K.T. Mok, and W. Yu. FPGA Implementation of the Coupled
Filtering Method and the Affine Warping Method, IEEE Transactions on NanoBioscience,
16:314-325, 2017.
J55. W. Jiang1, J. Xue, and W. Yu. What is the probability of
replicating a statistically significant association in Genome-Wide Association
Studies, Briefings in Bioinformatics,
18(6):928�V939, 2017.
J54. W. Jiang1
and W. Yu. Controlling the joint
local false discovery rate is more powerful than meta-analysis methods in joint
analysis of summary statistics from multiple genome-wide association studies, Bioinformatics, 33(4):500-507,
2016.
J53. F. Yu1, N. Li, and W. Yu. PIPI: PTM-Invariant Peptide
Identification Using Coding Method, Journal of Proteome
Research,
15(12):4423-4435, 2016.
J52.
X. Zhu, F. Yu1, Z. Yang, S. Liu, C.
Dai, X. Lu, C. Liu, W. Yu*, and N.
Li. Application of in planta chemical cross-linking in mass spectrometry�Vbased
analysis of the tertiary structure of a plant ATPase subunit, Proteomics,
16:1915-1927,2016. (*
co-corresponding author. F. Yu1 is the
co-first author).
J51. F. Yu1, N. Li, and W. Yu. ECL: An Exhaustive Search Tool
for the Identification of Cross-Linked Peptides Using Whole Database, BMC Bioinformatics, 17:217,
2016.
J50.
W. Jiang1
and W. Yu. Power Estimation and
Sample Size Determination for Replication Studies of Genome-Wide Association
Studies, BMC Genomics, 17(Suppl 1):3, 2016.
J49.
G. Yang1, W.
Jiang1, Q. Yang, and W.
Yu. PBOOST: a GPU based tool for parallel permutation tests in genome-wide
association studies. Bioinformatics, 31:1460-1462, 2015.
J48.
X. Zhou1, C. Yang, H. Zhao3, and W. Yu. Low-Rank
Modeling and Its Applications in Image Analysis. ACM Computing Surveys, 47, 2, Article 36, 33 pages, 2014.
J47. X.
Zhou1, J. Liu, X. Wan, and W. Yu. Piecewise-constant and Low-rank
Approximation for Identification of Recurrent Copy Number Variations. Bioinformatics, 30:1943-1949,
2014.
J46. Ch. Yang1, Z. He, and W. Yu. A Combinatorial
Perspective of the Protein Inference Problem. IEEE/ACM Trans.
Computational Biology and Bioinformatics, 10:1542-1547, 2013.
J45. X. Wan, C. Yang, Q. Yang, H. Zhao3, and W. Yu. The Complete
Compositional Epistasis Detection in Genome-wide Association Studies. BMC Genetics, 14:7, 2013.
J44. X. Zhou1, L. Sun, Y. Yu, W. Qiu, C. Lien, K. Shung, and W. Yu. Ultrasound Bio-Microscopic Image Segmentation for Evaluation
of Zebrafish Cardiac Function. IEEE Trans. Ultrasonics,
Ferroelectrics, and Frequency Control, 60:718-726,2013.
J43. X. Wan2, C. Yang, Q. Yang,
H. Zhao3, and W. Yu. HapBoost: A fast approach to boosting haplotype association
analyses in genome-wide association studies. IEEE/ACM Trans.
Computational Biology and Bioinformatics, 10:207-212, 2013.
J42. H. Liu, X. Shen,
H. Tang, J. Li, T. Xiang, and W. Yu. Using
MicroPET Imaging in Quantitative Verification of the
Acupuncture Effect in Ischemia Stroke Treatment. Scientific Reports, 3:1070, 2013
J41. X. Zhou1, C.
Yang1,
X. Wan2,
H. Zhao3 and W. Yu.
Multi-sample aCGH Data Analysis via Total Variation
and Spectral Regularization. IEEE/ACM Trans.
Computational Biology and Bioinformatics, 10:230-235, 2013.
J40. T. Liang1, L. Yung1, and W. Yu. On Feature
Motion Decorrelation in Ultrasound Speckle Tracking. IEEE Trans. Medical Imaging,32:435-448, 2013.
J39. X. Zhou1, C.
Yang1, and W. Yu.
Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation.
IEEE
Trans. Pattern Analysis and Machine Intelligence,35:597-610, 2013.
J38. Z. He2, R.Z. Qi, and W. Yu. Bioinformatic
Analysis of Data Generated from MALDI Mass Spectrometry for Biomarker
Discovery. Topics in Current Chemistry, 331:193-209, 2013.
J37. Ch. Yang1, C.
Yang1, Z. He, and W.
Yu. Peptide Re-ranking with Protein-peptide Correspondence and Precursor
Peak Intensity Information. IEEE/ACM Trans.
Computational Biology and Bioinformatics, 9:1212-1219, 2012.
J36. T. Huang, J. Wang, W. Yu and Z. He. Protein Inference: A
Review. Briefings in Bioinformatics, 13:586-614, 2012.
J35. X. Wan2, C.
Yang1, and W. Yu. Comments
on ��An empirical comparison of several recent epistatic
interaction detection methods��. Bioinformatics,
28:145-146, 2012.
J34. C. Yang1, X.
Zhou1, X. Wan2,
Q. Yang, H. Xue, and W. Yu. Identifying Disease-associated SNP Clusters via Contiguous
Outlier Detection. Bioinformatics, 27:2578-2585, 2011.
J33. C. Yang1, X. Wan2, Q. Yang, H. Xue, N. Tang, and W.
Yu. A Hidden Two-locus Disease Association Pattern in Genome-wide
Association Studies. BMC Bioinformatics, 12:156, 2011.
J32. L. Yung1, C. Yang1, X. Wan2, and W. Yu. GBOOST: A GPU-Based Tool for
Detecting Gene-Gene Interactions in Genome-Wide Case Control Studies. Bioinformatics, 27:1309-1310, 2011.
The GBOOST software has been
downloaded over 3000 times since its publication
in March 2011 according to the download counter on our software webpage.
J31.
C. Yang1,
X. Wan2, Z. He2, Q. Yang, H. Xue,
and W. Yu. The Choice of Null
Distributions for Detecting Gene-Gene Interactions in Genome-Wide Association
Studies. BMC Bioinformatics, 12(Suppl 1): S26,
2011.
J30. Z. He2, C. Yang1, G. Guo,
N. Li, and W. Yu. Motif-All:
Discovering All Phosphorylation Motifs. BMC Bioinformatics, 12(Suppl 1): S22, 2011.
J29. Z. He2, H. Zhao3
and W. Yu. Score Regularization for
Peptide Identification. BMC Bioinformatics, 12(Suppl 1): S2, 2011.
J28. Z. He2, C. Yang1,
and W. Yu. A partial set covering
model for protein mixture identification using MS data. IEEE/ACM Trans. Computational Biology and
Bioinformatics, 8:368-380, 2011.
J27. X. Wan2, C. Yang1, Q. Yang, H. Xue,
X. Fan, N. Tang, and W. Yu. BOOST: A
Boolean Representation-based Method for Detecting SNP-SNP Interactions in
Genome-wide Association Studies. The American Journal of Human Genetics, 87:325-340, 2010.
The BOOST software has been
downloaded over 2100 times since its publication
in September 2010 according to the download counter on our software webpage.
J26. X.
Wan2, C. Yang1, Q. Yang, H. Xue, N. Tang, and W. Yu. Detecting Two-Locus Associations
Allowing for Interactions in Genome-wide Association Studies. Bioinformatics, 26:2517-2525, 2010.
J25. Ch. Yang1, C. Yang1, and W.
Yu. A Regularized Regression Method for Peptide Quantification. Journal
of Proteome Research, 9:2705-2712,
2010.
J24. Z.
He2 and W. Yu. Stable Feature
Selection for Biomarker Discovery. Computational
Biology and Chemistry , 34:215-225, 2010.
J23. Z. He2, Ch. Yang1, C. Yang1, R.Z. Qi, J.P. Tam and
W. Yu. Optimization-Based Peptide
Mass Fingerprinting for Protein Mixture Identification. Journal of Computational Biology, 17:221-235,
2010.
J22. C.
Yang1, X. Wan2,
Q. Yang, H. Xue, and W. Yu. Identifying Main Effects and Epistatic
Interactions from Large-scale SNP Data via Adaptive Group Lasso. BMC
Bioinformatics, 11 (Suppl. 1): S18, 2010.
J21.
X. Wan2, C.
Yang1, Q. Yang, H. Xue, N. Tang,
and W. Yu. SNPRuler:
Predictive rule inference for epistatic interaction
detection in genome-wide association studies. Bioinformatics, 26:30-37, 2010.
J20.
Z. He2 and W. Yu. Improving Peptide Identification with Single-Stage Mass
Spectrum Peaks. Bioinformatics, 25:2969-2974, 2009.
J19. C.
Yang1, Z. He2, X. Wan2, Q. Yang, H. Xue,
and W. Yu. SNPHarvester:
A filtering-based approach for detecting epistatic
interactions in genome-wide association studies. Bioinformatics,
25:504-511, 2009.
J18. X. Wan2, C. Yang1, Q.
Yang, H. Xue, N. Tang, and W. Yu. MegaSNPHunter: A Learning Approach
to Detect Disease predisposition SNPs and High Level Interactions from Whole
Genome Data. BMC Bioinformatics, 10:13, 2009.
J17. Ch.
Yang1, Z. He2,
and W. Yu. Comparison of Public Peak
Detection Algorithms for MALDI Mass Spectrometry Data Analysis. BMC
Bioinformatics, 10:4, 2009.
J16. M Dakna, Z. He2, W. Yu, H. Mischak,
and W. Kolch. Technical,
bioinformatical and statistical aspects of liquid
chromatography-mass spectrometry (LC-MS) and capillary electrophoresis-mass
spectrometry (CE-MS) based clinical proteomics: A critical assessment. Journal
of Chromatography B, 877:1250-1258, 2009.
J15. Q. Xu, D. Hu, H. Xue,
W. Yu and Q. Yang. Semi-supervised protein subcellular localization. BMC Bioinformatics, 10 (Suppl. 1): S47, 2009.
J14. Z.
He2, C. Yang1, and W. Yu. Peak Bagging for Peptide Mass
Fingerprinting. Bioinformatics, 24:1293-1299, 2008.
J13. W.
Yu, Z. He2, J. Liu, and H. Zhao3. Improving Mass
Spectrometry Peak Detection Using Multiple Peak Alignment Results. Journal of Proteome Research, 7:123-129, 2008.
J12. J. Liu,
H. Zhao3, J. Tan, D. Luo, W. Yu and E. James Harner. Is SubcellularLocalization Informative for Modeling
Protein-protein Interaction Signal? Research Letters in Signal Processing,
1:1-5, 2008.
J11.
W. Yu, J. Liu, C. Colangelo,
E. Gulcicek, and H. Zhao3. A New Protocol of
Analyzing Isotope Coded Affinity Tag Data from High Resolution LC-MS
Spectrometry. Computational Biology and Chemistry, 31:215-221, 2007.
J10.
J. Liu, W. Yu, B. Wu, and H. Zhao3. Bayesian Mass
Spectra Peak Alignment from Mass Charge Ratios. Cancer Informatics, 2:395-419, 2006.
J9. W. Yu, X. Li, J. Liu, B. Wu, K. Williams, and
H. Zhao3.
Multiple Peak Alignment in Sequential Data Analysis: A Scale-Space Based Approach. IEEE/ACM Trans. Computational Biology and
Bioinformatics, 3:208-219, 2006.
J8. W. Yu, B.Wu,
N.Lin, K.Stone, K.Williams, and H. Zhao3. Detecting and Aligning Peaks in Analyzing MALDI
Mass Spectrometry Data. Computational
Biology and Chemistry, 30:27-38, 2006.
J7. W. Yu, P. Yan, A. Sinusas, K.
Thiele, and J. S. Duncan3. Towards Pointwise Motion Tracking in
Echocardiographic Images --- Comparison of Different Features for Speckle
Tracking. Medical Image Analysis, 10:495-508, 2006.
J6. W. Yu, G. Sommer3, K. Daniilidis3, and J. S. Duncan3. Using Skew Gabor
Filter in Source Signal Separation and Local Spectral Orientation Analysis.
Image
and Vision Computing, 23:377-392, 2005.
J5. W. Yu,
G. Sommer3, and K. Daniilidis3. Multiple Motion
Analysis: in Spatial Domain or in Spectral Domain? Computer Vision and Image Understanding, 90:129-152, 2003.
J4. W. Yu,
G. Sommer3, and K. Daniilidis3. 3D-Orientation
Signatures with Conic Kernel Filtering for Multiple Motion
Analysis. Image and Vision Computing, 21:447-458, 2003.
J3. N. Lin, W. Yu,
and J. S. Duncan3. Combinative Multi-Scale Level Set Framework for
Echocardiographic Image Segmentation. Medical Image Analysis, 7:529-537, 2003.
J2. W. Yu,
G. Sommer3, S. Beauchemin, and K.
Daniilids3. Oriented Structure of the Occlusion Distortion:
Is it Reliable? IEEE
Trans. Pattern Analysis and Machine Intelligence, 24: 1286-1290, 2002.
J1. W. Yu,
K. Daniilidis3, and G. Sommer3. Approximate
Orientation Steerability Based on Angular Gaussians. IEEE Trans. Image Processing, 10:193-205, 2001.
Articles in Refereed Conference Proceedings
C1. W. He1, H. Tang2, J. Li2, C. Hou1, X. Shen2, H. Liu, and W. Yu. Assessment of Middle Cerebral Artery
Occlusion in Rat Stroke Model Using Pearson Correlation Coefficients. In the
IEEE International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy,
April 8-11, 2019.
C2. Y. Du, M. Zhang, A. C.H. Yu, and W. Yu.
Low-Rank Adaptive Clutter Filtering for Robust Ultrasound Vector Flow Imaging.
In the IEEE International Ultrasonics Symposium (IUS
2018), Kobe, Japan, October 22-25, 2018.
C3. S. Zhang1, W. Jiang2, R. Ma, and W. Yu. Region-Based Interaction Detection in
Genome-Wide Case-Control Studies. In the 14th International Symposium on
Bioinformatics Research and Applications (ISBRA 2018), Beijing, June 8 - 11,
2018.
C4. F. Yu2, N. Li, and W. Yu PIPI:
PTM-Invariant Peptide Identification Using Coding Method. Highlight presentation at the 11th International Conference on
Computational Systems Biology (ISB 2017), Shenzhen, China, August 18-21, 2017.
C5. F. Yu1, N. Li,
and W. Yu. ECL 2.0: Exhaustively
Identifying Cross-Linked Peptides with a Linear Computational Complexity.
Poster in the 21st Annual International Conference on Research in Computational
Molecular Biology (RECOMB 2017), Hong Kong, May 3-7, 2017.
C6. J. Dai1, F. Yu1,
N. Li, and W. Yu. Is it feasible to
only use tags in database search for peptide identification? --- A simulation-based
study. Poster in the 21st Annual International Conference on Research in
Computational Molecular Biology (RECOMB 2017), Hong Kong, May 3-7, 2017
C7. C. Zhang1, T.
Liang, P. K.T. Mok, and W. Yu. FPGA
Implementation of the Coupled Filtering Method. In the IEEE International Conference on Bioinformatics and Biomedicine
(BIBM 2016), Shenzhen, China, December 15-18, 2016. (Oral presentation, acceptance rate: 19% out of 361 submissions).
C8. M.
Wang1, W. Jiang1, R. C.W. Ma,
and W. Yu. GBOOST 2.0: A GPU-based
Tool for Detecting Gene-Gene Interactions With
Covariates Adjustment in Genome-Wide Association Studies. In the 2016 Workshop on Accelerator-Enabled
Algorithms and Applications in Bioinformatics (WACEBI 2016) in conjunction
with IEEE BIBM 2016, Shenzhen, China, December 15-18, 2016. (Oral presentation)
C9. W. Jiang1
and W. Yu. Power Estimation and
Sample Size Determination for Replication Studies of Genome-Wide Association
Studies. In the Fourteenth Asia
Pacific Bioinformatics Conference (APBC��16), San Francisco, CA, USA, January
11-13, 2016. (Best
Paper Award)
C10.
X. Zhou1, X. Huang, J.S. Duncan3,
and W. Yu. Active Contours with
Group Similarity. In IEEE International
Conference on Computer Vision and Pattern Recognition
(CVPR 2013), pp.2969 - 2976 Portland, Oregon, USA, June 23-28, 2013.
C11. X. Zhou1, and W. Yu. Low-rank Modeling and Its Applications in Medical
Image Analysis. In SPIE Conference on
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net,
Biosystems, and Nanoengineering, Baltimore, MD, USA,
2013.
C12. X.
Zhou1, C. Yang1, and W. Yu. Automatic Mitral Leaflet
Tracking in Echocardiography by Outlier Detection in the Low-rank
Representation. In IEEE International
Conference on Computer Vision and Pattern Recognition
(CVPR 2012), Providence, RI, USA, 2012.
C13. Ch.
Yang1, and W. Yu.
A Brief Review of Signal Processing Issues
in Mass Spectrometry-based Proteomics Studies. In The Asilomar Conference on Signals,
Systems, and Computers, Pacific Grove, CA, USA,
2011.
C14. C. Yang1,
X. Wan2, Z. He2, Q. Yang, H. Xue,
and W. Yu. The Choice of Null
Distributions for Detecting Gene-Gene Interactions in Genome-Wide Association Stuides. In the
Ninth Asia Pacific Bioinformatics Conference (APBC��11), Incheon, Korea, January
11-14, 2011. (Oral presentation)
C15. Z.
He2, C. Yang1, G. Guo, N. Li, and W. Yu. Motif-All: Discovering All Phosphorylation Motifs. In the Ninth
Asia Pacific Bioinformatics Conference (APBC��11), Incheon, Korea, 2011. (Oral presentation)
C16. Z. He2, H. Zhao3
and W. Yu. Score Regularization for
Peptide Identification. In the
Ninth Asia Pacific Bioinformatics Conference (APBC��11), Incheon, Korea,
2011. (Oral presentation)
C17. T.
Liang1 and W. Yu. Solving the Feature-Motion Decorrelation
Problem in Ultrasound Speckle Tracking. In the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to
Macro (ISBI 2010), Rotterdam, The Netherlands, April 14-17, 2010.
C18. X. Zhou1, T.
Liang1 and W. Yu.
Accurate Segmentation of Ultrasound Images Using the Motion Cue. In 2010 IEEE
International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2010),
Rotterdam, The Netherlands, April 14-17, 2010.
C19. Ch. Yang1, C. Yang1, and W.
Yu. A Regularized Regression Method for Peptide Quantification. In RECOMB Satellite Conference on Computational Proteomics, San Diego, USA,
March 27-28, 2010.
C20. C.
Yang1, X. Wan2, Q. Yang, H. Xue,
and W. Yu. Identifying Main Effects
and Epistatic Interactions from Large-scale SNP Data
via Adaptive Group Lasso. In the Eighth
Asia Pacific Bioinformatics Conference (APBC��10), Bangalore, India, January
18-21, 2010. (Oral presentation,
acceptance rate: 67/231=29%)
C21. Z.
He2, Ch. Yang1, C. Yang1, R.Z. Qi, J.P. Tam and
W. Yu. Optimization-Based Peptide
Mass Fingerprinting for Protein Mixture Identification. In 13th Annual
International Conference on Research in Computational Molecular Biology
(RECOMB2009), Arizona, USA, pp.16-30, 2009.
(Oral presentation, acceptance rate: 37/166= 22%)
C22. W.
Yu, P. Yan, A. Sinusas, K. Thiele, and J.S. Duncan3. Pointwise Motion
Tracking in Echocardiographic Images. In IEEE International Conference on Computer Vision and
Pattern Recognition (CVPR 2004), Vol. 1, pp.676-683, 2004. (acceptance rate: 22.9%)
C23. W.
Yu, G. Sommer3, and K. Daniilidis3. Using Skew Gabor
Filter in Source Signal Separation and Local Spectral Multi-Orientation
Analysis. In IEEE
International Conference on Computer Vision and Pattern Recognition (CVPR 2004), Vol. 1,
262-269, 2004. (Oral presentation, top 6.4%)
C24. W. Yu and J.S. Duncan3. The Choice of
Tracking Feature in Ultrasound-Based Strain Imaging Analysis. In the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2004), pp.
304-307, 2004. (Oral presentation)
C25. W. Yu, N. Lin, P. Yan, K. Purushothaman, A. Sinusas, K.
Thiele, and J.S. Duncan3. Motion Analysis of 3D Ultrasound Texture Patterns.
In the Second International Workshop on
Functional Imaging and Modeling of the Heart
(FIMH��03), pp.252-261, 2003.
C26. N.
Lin, W. Yu, and J.S. Duncan3. Combinative Multi-Scale Level Set
Framework for Echocardiographic Image Segmentation. In International Conference on Medical Image Computing and
Computer-Assisted Intervention, vol.1, pp. 682-689, 2002.
C27. W. Yu, G. Sommer3, and K. Daniilidis3. 3D-Orientation
Signatures with Conic Kernel Filtering for Multiple Motion Analysis. In IEEE International Conference on Computer
Vision and Pattern Recognition, vol. 1, pp. 299-306, 2001. (Oral
presentation, top 8.5%)
C28.
W. Yu, G. Sommer3, and K. Daniilidis3. Skewness of Gabor Wavelets and Source
Signal Separation. In the second International
Conference on Wavelet Analysis and Its Applications, pp. 269-283, 2001.
C29.
W. Yu, K. Daniilidis3, and G. Sommer3. A New 3D Orientation Steerable Filter.
In the 22nd DAGM-Symposium on
Pattern Recognition (DAGM 2000), pp.203-212,
2000.
C30.
W. Yu, K. Daniilidis3, and G. Sommer3. Eliminating
Outliers in Motion Occlusion Analysis. In the 22nd DAGM-Symposium on Pattern Recognition (DAGM
2000), pp.
373-380, 2000.
C31. W. Yu, K. Daniilidis3, S. Beauchemin, and G. Sommer3. Detection and Characterization
of Multiple Motion Points. In IEEE
International Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 171-177,
1999.
C32.
W. Yu, K. Daniilidis3, and G. Sommer3. Low-cost Junction Characterization Using Polar Averaging Filters. In IEEE
International Conference on Image Processing, vol. 3, pp. 41-44, 1998.
C33.
W. Yu, K.
Daniilidis3, and
G. Sommer3. Junction Characterization Using Polar Pyramid. In
the 20th DAGM-Symposium on
Pattern Recognition (DAGM 1998), pp.69-76, 1998.
C34. W. Yu,
K. Daniilidis3, and G. Sommer3. Rotated Wedge
Averaging Method for Junction Characterization. In IEEE
International Conference on Computer Vision and Pattern Recognition, pp.390-395, 1998.