Publications
Theses
PhD Dissertation: Computer Assisted Coronary CT Angiography Analysis: From Software Development to Clinical Application, ISBN: 978-91-7393-191-5, 2011
Medical thesis: The application of moving-tissue-tracing technique in CT perfusion, 2005(in Chinese)
Articles in scientific journals
1. G. Zheng, C. Chu, D. L Belavý, B. Ibragimov, R. Korez, T. Vrtovec, H. Hutt, R. Everson, C. Wang, D. Forsberg, A. Neubert, J. Fripp, Shuo Li, “Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge,” Medical Image Analysis, vol. 35, pp. 327–344, 2017
2. O, Jimenez-del-Toro, H. Müller, M. Krenn, K. Gruenberg, A. Taha, M. Winterstein, I. Eggel, F. Kahl, C. Wang, D. Wyeth, Allan Hanbury “Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks,” IEEE Trans Med Imaging, Jun. 2016
3. P. Medrano-Gracia J. Ormiston, M. Webster, S. Beier, C. Ellis, C. Wang, Ö. Smedby, A. Young, B. Cowan “A computational atlas of normal coronary artery anatomy.,” EuroIntervention: journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology, vol. 12, no. 7, p. 845, 2016.
4. P. Medrano-Gracia J. Ormiston, M. Webster, S. Beier, C. Ellis, C. Wang, Ö. Smedby, A. Young, B. Cowan, “A Study of Coronary Bifurcation Shape in a Normal Population,” Journal of Cardiovascular Translational Research, pp. 1–9, 2016.
5. O. Bernard, J. G. Bosch, B. Heyde, C. Wang, Ö. Smedby, E. Galli, and J. D’hooge, “Standardized evaluation system for left ventricular segmentation algorithms in 3D echocardiography,” IEEE Transactions on Medical Imaging, vol. 35, no. 4, pp. 967–977, 2016.
6. F. Marreiros, R. Sandro, P. Karlsson, C. Wang, T. Gustafsson, P. Carleberg, and Ö. Smedby, “Superficial vessel reconstruction with a multi-view camera system,” Journal of Medical Imaging, vol. 3, no. 1, p. 015001, 2016
7. C. Wang, N. Dahlström, S-G. Fransson, C. Lundström and Ö. Smedby, “Real-time Interactive 3D Tumor Segmentation Using a Fast Level-set Algorithm”, Journal of Medical Imaging and Health Informatics, vol. 5, no. 8, pp. 1998–2002, 2015..
8. M. Andersson, K. Jägervall, P. Eriksson, A. Persson, G. Granerus, C. Wang, and Ö. Smedby, “How to measure renal artery stenosis-a retrospective comparison of morphological measurement approaches in relation to hemodynamic significance,” BMC medical imaging, vol. 15, no. 1, p. 42, 2015.
9. A. M. Mendrik, K. L. Vincken, C. Wang, A. El-Baz, and others, “MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans,” Computational Intelligence and Neuroscience, vol. 2015, 2015, p. e813696, 2015
10. K. Lidayová, H. Frimmel, C. Wang, E. Bengtsson, Ö. Smedby, “Fast vascular skeleton extraction algorithm”, Pattern Recognition Letters, 2015(Online First)
11. C. Wang and C. Lundström, “CT scan range estimation using multiple body parts detection: Let PACS learn the CT image content,” International Journal of Computer Assisted Radiology and Surgery, vol. 11, no. 2, pp. 317–325, Feb. 2016.
12. C. Wang, H. Frimmel, and Ö. Smedby, “Fast Level-set Based Image Segmentation Using Coherent Propagation”, Medical Physics, 41(7); 073501, 2014
13. H. Kirisli, M. Schaap, C. Wang, K. Nieman and others, “Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in Computed Tomography Angiography. Medical Image Analysis, vol .17, no. 8, pp. 859–876, 2013
14. C. Wang, A. Persson, J. Engvall, J. De Geer, W. Czekierda, A. Björkholm, S.-G. Fransson, and Ö. Smedby, “Can segmented 3D images be used for stenosis evaluation in coronary CT angiography,” Acta Radiol, vol. 53, no. 8, pp. 845–851, Oct. 2012
15. M. L. Steigner, D. Mitsouras, C. Wang, Ö. Smedby and others, “Iodinated Contrast Opacification Gradients in Normal Coronary Arteries Imaged With Prospectively ECG-Gated Single Heart Beat 320-Detector Row Computed Tomography,” Circulation: Cardiovascular Imaging, vol. 3, no. 2, pp. 179 -186, Mar. 2010.
16. C. Wang and Ö. Smedby, “Integrating automatic and interactive methods for coronary artery segmentation: let the PACS workstation think ahead,” International Journal of Computer Assisted Radiology and Surgery, vol. 5, no. 3, pp. 275-285, 2010.
17. C. Wang, F. Ritter, and Ö. Smedby, “Making the PACS workstation a browser of image processing software: a feasibility study using inter-process communication techniques,” International Journal of Computer Assisted Radiology and Surgery, vol. 5, no. 4, pp. 411-419, 2010.
18. M. Schaap, C. T. Metz, C. Wang, Ö. Smedby and others, “Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms,” Medical Image Analysis, vol. 13, no. 5, pp. 701-714, Oct. 2009.
19. H. Petersson, D. Sinkvist, C. Wang, and Ö. Smedby, “Web-based interactive 3D visualization as a tool for improved anatomy learning,” Anatomical Sciences Education, vol. 2, no. 2, pp. 61-68, Mar. 2009.
20. C. Wang and Ö. Smedby, “An Automatic Seeding Method For Coronary Artery Segmentation and Skeletonization in CTA,” The MIDAS Journal, vol. Online Publishing, Sep. 2008.
21. C. Wang, H. Frimmel, A. Persson, and Ö. Smedby, “An interactive software module for visualizing coronary arteries in CT angiography,” International Journal of Computer Assisted Radiology and Surgery, vol. 3, no. 1, pp. 11-18, Jun. 2008.
Peer-reviewed conference papers
1. C. Wang, “Segmentation of multiple structures in chest radiographs using multi-task fully convolutional networks”, SCIA 2017 (Accepted)
2. M. Chowdhury, D. Jörgens, C. Wang, Ö. Smedby, and R. Moreno, “Segmentation of Cortical Bone using Fast Level Sets,” in SPIE Medical Imaging, 2017, pp. 1013327–1013327.
3. C. Wang, Q. Wang, and Ö. Smedby, “Automatic heart and vessel segmentation using random forests and a local phase guided level set method,” presented at the MICCAI HVSMR workshop, 2016.
4. A. Mahbod, C. Wang, and Ö. Smedby, “Automatic Multiple Sclerosis Lesion Segmentation Using Hybrid Artificial Neural Networks,” in Workshop Proceedings of the 1st MICCAI Challenge on Multiple Sclerosis Lesions Segmentation Challenge Using a Data Management and Processing Infrastructure, 2016, pp. 29–36
5. F. M. M. Marreiros, C. Wang, R. Sandro, and Ö. Smedby, “Non-rigid point set registration of curves: Registration of the superficial vessel centerlines of the brain,” presented at the SPIE Medical Imaging, 2016.
6. K. Lidayová, J. Lindblad, N. Sladoje, H. Frimmel, C. Wang, and Ö. Smedby, “Coverage segmentation of 3D thin structures,” in IPTA 2015, November 10–13, Orléans, France, 2015, pp. 23–28.
7. C. Wang and D. Forsberg, “Segmentation of intervertebral discs in 3D MRI data using multi-atlas based registration”, MICCAI Workshop on Computational Methods and Clinical Applications for Spine Imaging , Munich, Germany, 2015
8. C. Wang and Ö. Smedby, “Multi-organ segmentation using shape model guided local phase analysis”, Medical Image Computing and Computer-Assisted Intervention: MICCAI, 2015
9. C. Wang and Ö. Smedby, “Model-based left ventricle segmentation in 3D ultrasound using phase image”, MICCAI Workshop " Grand Challenge on Endocardial Three-dimensional Ultrasound Segmentation", Boston, US, 2014.
10. C. Wang and Ö. Smedby, “Automatic multi–organ segmentation using fast model based level set method and hierarchical shape priors,” Proc. Visc. Chall. ISBI CEUR Workshop Proc., pp. 25–31, 2014
11. P. Medrano-Gracia, C Wang, Brett Cowan et al., “Construction of a coronary atlas from CT angiography”, Medical Image Computing and Computer-Assisted Intervention: MICCAI, vol 8674, pp 513-520, 2014
12. C. Wang and Ö. Smedby, “Automatic multi-organ segmentation in non-enhanced CT datasets using Hierarchical Shape Priors,” in ICPR2014 proceedings, Stockholm,
13. C. Wang and Ö. Smedby, “Fully automatic brain segmentation using model-guided level set and skeleton based models”, MICCAI Workshop " Grand Challenge on MR Brain Image Segmentation workshop", Nagoya, Japan, 2013.
14. F. Marreiros, C. Wang, S. Rossitti, and O. Smedby, “Non-rigid deformation pipeline for compensation of superficial brain shift”, ”, Medical Image Computing and Computer-Assisted Intervention: MICCAI, vol. 16, pp 141-8, 2013
15. R. Moreno, C. Wang and Ö. Smedby, “Vessel Wall Segmentation Using Implicit Models and Total Curvature Penalizers”, SCIA, Espoo, Finland, 2013
16. C. Wang, R. Moreno and Ö. Smedby, “Vessel Segmentation Using Implicit Model-Guided Level Sets”, MICCAI Workshop "3D Cardiovascular Imaging: a MICCAI segmentation Challenge", Nice France, 2012.
17. C. Wang, H. Frimmel, and Ö. Smedby, “Level set based vessel segmentation accelerated with periodic monotonic speed function,” SPIE Medical Imaging, Lake Buena Vista, Florida United States, 2011.
18. C. Wang and Ö. Smedby, “Coronary artery segmentation and skeletonization based on competing fuzzy connectedness tree,” Medical Image Computing and Computer-Assisted Intervention: MICCAI, vol. 10, no. 1, pp. 311-318, 2007.
Patent
Level set based image processing apparatus and methods, Chunliang Wang, Hans Frimmel and Örjan Smedby, Filed on Feb 10, 2011, issued in Sweden on Feb 19, 2013
Major contributions in research software development:
MiaLab, since 2011, as main developer http://www.mialab.org
CMIV CTA plug-in for OsiriX, since 2007, as main developer http://www.osirix-viewer.com/Plugins.html
MeVisHub: bridging software for MeVisLab and OsiriX, since 2009, as main developer, http://mevislabmodules.svn.sourceforge.net/viewvc/mevislabmodules/trunk/Community/General/Sources/ML/MLOsiriXImporter/
CT colongraphy navigator for OsiriX 3.8, since 2010, as main developer http://www.osirix-viewer.com/Roadmap.html
MiaLite: interactive 3D image segmentation tool using ultra-fast level set method. since 2011, as main developer
http://www.cmiv.liu.se/output/software/
