Publications

Journal publications:

1. Zhang, Weijie, Zhan Xu, Xiaoxin Hao, Tiancheng He, Jiasong Li, Yichao Shen, Kai Liu et al. "Bone metastasis initiation is coupled with bone remodeling through osteogenic differentiation of NG2+ cells." Cancer discovery 13, no. 2 (2023): 474-495.

2. Wang, Lin, Guihua Li, Chika F. Ezeana, Richard Ogunti, Mamta Puppala, Tiancheng He, Xiaohui Yu et al. "An AI-driven clinical care pathway to reduce 30-day readmission for chronic obstructive pulmonary disease (COPD) patients." Scientific reports 12, no. 1 (2022): 20633.

3. Wang, Tengfei, Tiancheng He, Zhenglin Zhang, Qi Chen, Liwei Zhang, Guoren Xia, Lizhuang Yang, Hongzhi Wang, Stephen TC Wong, and Hai Li. "A personalized image-guided intervention system for peripheral lung cancer on patient-specific respiratory motion model." International Journal of Computer Assisted Radiology and Surgery (2022): 1-14.

4. He, Yunjie, Jiasong Li, Steven Shen, Kai Liu, Kelvin K. Wong, Tiancheng He, and Stephen TC Wong. "Image-to-image translation of label-free molecular vibrational images for a histopathological review using the UNet+/seg-cGAN model." Biomedical Optics Express 13, no. 4 (2022): 1924-1938.

5. Wang, Lin, Zheng Yin, Mamta Puppala, Chika F. Ezeana, Kelvin K. Wong, Tiancheng He, Deepa B. Gotur, and Stephen TC Wong. "A time-series feature-based recursive classification model to optimize treatment strategies for improving outcomes and resource allocations of COVID-19 patients." IEEE journal of biomedical and health informatics 26, no. 7 (2021): 3323-3329.

6. Li, Jiasong, Liu, Jun, Wang, Ye, He, Yunjie, Liu, Kai, Raghunathan, Raksha, Shen, Steven S., He, Tiancheng, Yu, Xiaohui, Danforth, Rebecca, Zheng, Feibi, Zhao, Hong, Wong, Stephen T. C. "Artificial intelligence-augmented, label-free molecular imaging method for tissue identification, cancer diagnosis, and cancer margin detection." Biomedical Optics Express (2021) 12(9): 5559-5582

7. Min Soon Cho, Jiasong Li, Ricardo Gonzalez-Delgado, Hani Lee, Matthew Vasquez, Tiancheng He, Yunjie He, Kai Liu, Tomoyuki Sasano, Bernd Nürnberg, Anil K Sood, Stephen T C Wong, Vahid Afshar-Kharghan "The effect of platelet G proteins on platelet extravasation and tumor growth in the murine model of ovarian cancer." Blood Adv. (2021) 5(7):1947-1951. doi: 10.1182/bloodadvances.2020003410. PMID: 33821990.

8. He, Tiancheng, Joy Nolte Fong, Linda W. Moore, Chika F. Ezeana, David Victor, Mukul Divatia, Matthew Vasquez, R. Mark Ghobrial, and Stephen TC Wong. "An Imageomics and Multi-Network based Deep Learning Model for Risk Assessment of Liver Transplantation for Hepatocellular Cancer." Computerized Medical Imaging and Graphics (2021): 101894.

9. Aryan Mobiny, Pengyu Yuan, Pietro A Cicalese, Supratik K Moulik, Naveen Garg, Carol C Wu, Kelvin Wong, Stephen T Wong, Tian Cheng He, Hien V Nguyen "Memory-Augmented Capsule Network for Adaptable Lung Nodule Classification." IEEE Trans Med Imaging. 2021 Jan 12;PP. doi: 10.1109/TMI.2021.3051089. 

10. Li, Xuping, Lin Wang, Matthew Cykowski, Tiancheng He, Timothy Liu, Joshua Chakranarayan, Andreana Rivera et al. "OCIAD1 contributes to neurodegeneration in Alzheimer's disease by inducing mitochondria dysfunction, neuronal vulnerability and synaptic damages." EBioMedicine 51 (2020): 102569. 

11. Lin Wang, Zhong Xue, Chika F. Ezeana, Mamta Puppala, Shenyi Chen, Rebecca L. Danforth, Xiaohui Yu, Tiancheng He, Mark L. Vassallo & Stephen T. C. Wong. "Preventing inpatient falls with injuries using integrative machine learning prediction: a cohort study." npj Digital Medicine volume 2, Article number: 127 (2019)

12. He Tiancheng, Puppala Mamta, Ezeana Chika F., Huang Yan-siang, Chou Ping-hsuan, Yu Xiaohui, Chen Shenyi, Wang Lin, Yin Zheng, Danforth Rebecca L., Ensor Joe, Chang Jenny, Patel Tatel, Wong Stephen TC. "A Deep Learning-Based Decision Support Tool for Precision Risk Assessment of Breast Cancer." JCO Clin Cancer Inform. 2019 May;(3):1-12. 

13. Stubbins, Renee, Tiancheng He, Xiaohui Yu, Mamta Puppala, Chika F. Ezeana, Shenyi Chen, Miguel Valdivia y Alvarado et al. "A Behavior-Modification, Clinical-Grade Mobile Application to Improve Breast Cancer Survivors' Accountability and Health Outcomes." JCO clinical cancer informatics 2 (2018): 1-11.

14.  Patel, Tejal A., Mamta Puppala, Richard O. Ogunti, Joe E. Ensor, Tiancheng He, Jitesh B. Shewale, Donna P. Ankerst et al. "Correlating mammographic and pathologic findings in clinical decision support using natural language processing and data mining methods." Cancer 123, no. 1 (2017): 114-121.

15. Puppala Mamta, He Tiancheng, Chen Shenyi, Ogunti Richard, Yu Xiaohui, Li Fuhai, Jackson Robert, Wong Stephen, “METEOR: An Enterprise Health Informatics Environment to Support Evidence-based Medicine,” IEEE Transaction on Biomedical Engineering, 2015 Jun, 24(5):2450181.

16. He Tiancheng, Xue Zhong, Teh Bin S., Wong Stephen T., “Reconstruction of four-dimensional computed tomography lung images by applying spatial and temporal anatomical constraints using a bayesian model,” Journal of Medical  Imaging. 2015 May, 2(2): 024004.  

17. He Tiancheng, Xue Zhong, Valdivia y Alvarado Miguel, Wong Kelvin, Xie Weixin, Wong Stephen. Nonlinear Motion Compensation Using Cubature Kalman Filter (NMC-CKF) for in vivo Fluorescence Microendoscopy in Peripheral Lung Cancer Intervention. Journal of Biomedical Optics, 2013 Jan 1, 18(1):16008. doi: 10.1117/1.JBO.18.1.016008. 

18. He Tiancheng, Xue Zhong, Lu Kongkuo, Valdivia Y Alvarado Miguel, Wong Kelvin, Xie Weixin, Wong Stephen.  A minimally invasive multimodality image-guided (MIMIG) system for peripheral lung cancer intervention and diagnosis.  Comput Med Imaging Graph. 2012 Jul, 36(5):345-55. 

19. Alvarado MV, Wong Kelvin, He Tian Cheng, Xue Zhong, Wong ST. Image-Guided Fiberoptic Molecular Imaging in a VX2 Rabbit Lung Tumor Model. J Vasc Interv Radiol. 2011 Oct 22. 

20.  He Tian-cheng, Xie Wei-xin, Zhong Xue. Improved Adaptive Mean Tracking Method for Respiratory Drifting. Signal Processing, v 26, n 8, p 1151-6, 25 Aug. 2010

21. Tiancheng He, Weixin Xie, Wenming Cao. Target Detection in Three-Dimension Sensor Network Based on Clifford Algebra, Wireless Sensor Network, 2009, 2:82-89

22. He Tian-cheng, Xie Wei-xin, Cao Wen-ming. Coverage Analyses of Plane Target in Sensor Networks Based on Clifford Algebra, Acta Electronica Sinica, 2009, 37(8):1681-1685

23. Cao Wenming, He Tiancheng, Wang Shoujue. The multi-weight neuron with geometry algorithm and its application, Chinese Journal of Electronics, 2008, 17(2): 261-264

24. Cao Wen-ming, He Tian-cheng. An algorithm for removing facial makeup disturbances based on Clifford algebras, Journal of Communication and Computer, 2008, 5(5): 23-27

25. Tiancheng He, Wenming Cao, Weixin Xie. Research of breach issue for sensor networks based on Clifford geometrical algebra, Chinese Journal of Scientific Instrument, 2007, 28(n SUPPL. 5): 161-165 

26. Xie Wei-xin, He Tian-cheng, Cao Wen-ming. Path analyses of sensor networks based on clifford algebra, Acta Electronica Sinica, 2007, 35(12A): 27-31 

27. Cao Wenming, He Tiancheng, Wang Shoujue. Mandarin speech emotion recognition based on high dimensional geometry theory, Chinese Journal of Electronics, 2006, 15(4A): 818-821 

Books: 

1. Tiancheng He, Zhong Xue, Learning and predicting respiratory motion from 4D CT lung images, Machine Learning and Medical Imaging, 2016

2. Lu Kongkuo, He Tiancheng, Valdivia Miguel, Xue Zhong, Wong Stephen, Image-Guided Lung Intervention, Theranostics, 2013

3. Wenming Cao, Tiancheng He. Clifford Sensor Network Coverage (in Chinese): Science press, 2011

Conference publications:

1. Chika Ezeana, Xiaohui Yu, Zhihao Wan, Tiancheng He, Tejal Patel, Virginia Kaklamani, Maryam Elmi, Erika Brigmon, Pamela Otto, Kenneth Kist, Lin Wang, Joe Ensor, Heather Speck, Ya-Chen Shih, Bumyang Kim, I-Wen Pan, David Spak, Wei Yang, Jenny Chang, Stephen Wong; Abstract PO2-28-06: An on-line deep learning decision support tool, iBRISK, aimed at improving breast cancer risk estimation and reducing unnecessary biopsies for BI-RADS 4 patients. Cancer Res 1 May 2024; 84 (9_Supplement): PO2–28–06.

2. Anand K Ganesan , Khaled Ezzedine, Sameh Hanna, Mehdi Rashighi, Julien Seneschal, Sandra L Goss, Bethanee J Schlosser, Xiaofei Hu, Tiancheng Ted He, Michelle Crouthamel, Heidi Camp , Thierry Passeron. "Evaluation of the Utility of 3D Imaging for Facial Vitiligo Area Assessments in a Phase 2 Study of Upadacitinib." In Congress of EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY, October 11-14, 2023

3. Peters, Sydney, Tiancheng He, Yunzhao Xing, Rameez Chatni, In-Ho Song, Michelle Crouthamel, Nancy Curran, Dan Webster, Matthew D. Czech, and Jie Shen. "Actigraphy-Based Algorithm for Spinal Range of Motion Assessment for Axial Spondyloarthritis Patients." In 2023 19th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), pp. 24-29. IEEE, 2023.

4. Ezeana, Chika F., Tiancheng He, Tejal A. Patel, Virginia Kaklamani, Maryam Elmi, Erica Ibarra, Pamela M. Otto et al. "A multicenter study validated an integrated deep learning model for precision malignancy risk assessment and reducing unnecessary biopsies in BI-RADS 4 cases." Cancer Research 83, no. 7_Supplement (2023): 5698-5698.

5. Vo, Hung Q., Pengyu Yuan, Tiancheng He, Stephen TC Wong, and Hien V. Nguyen. "Multimodal Breast Lesion Classification Using Cross-Attention Deep Networks." IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), In Virtual,  July 27-30, 2021

6. He, Tiancheng, Weijie Zhang, Jiasong Li, Jianting Sheng, Xiang Zhang, and Stephen T. Wong. "Mapping spatial cellular dynamics of bone marrow niches in metastatic breast cancer."  Proceedings: AACR Annual Meeting, In Virtual,  April 10-15, 2021.

7. Yuan, Pengyu, Tiancheng He, Hien Nguyen, and Stephen T. Wong. "A deep learning model-based lung cancer risk assessment for incidental pulmonary nodules." Proceedings: AACR Annual Meeting, In Virtual,  April 10-15, 2021.

8. Tiancheng He, Weijie Zhang, Jiasong Li, Jianting Sheng, Xiang Zhang, Stephen T.C. Wong. "Spatiotemporal Cellular Dynamics Modeling on Different Bone Marrow Niches for Metastatic Breast Cancer." Abstract in the Cancer Systems Biology Consortium (CSBC) Annual Investigator Meeting, In Virtual, Sep. 16-17, 2020.

9. Tiancheng He, Weijie Zhang, Jiasong Li, Jianting Sheng, Xiang Zhang, Stephen T.C. Wong. "Mapping and Modeling Spatiotemporal Cellular Dynamics of Different Bone Marrow Niches in Metastatic Breast Cancer." Abstract in the Cancer Systems Biology Consortium (CSBC) and the Physical Sciences – Oncology Network (PSON)  Junior Investigator Annual Meeting, In Virtual, Aug. 27-28, 2020.

10. Tiancheng He, Mamta Puppala, Chika F. Ezeana,Zheng Yin, Rebecca L. Danforth, Xiaohui Yu, Shenyi Chen, Lin Wang, Joe E. Ensor, Tejal Patel, Jenny Chang and Stephen Wong. "Artificial Intelligence-Assisted Breast Cancer Risk Assessment."Abstract 2019, The Radiological Society of North America (RSNA), Chicago, Illinois, Dec. 1-6, 2019.

11. Tiancheng He, Lei Wang, Zhong Xue and Stephen Wong. “Deep Transductive Learning for Brain MR Imaging Segmentation.”  Abstract 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), Chicago, Illinois, May. 20-22, 2019.

12. Yunjie He, Lei Huang, Xiaoyun Xu, Xin Wang, Tiancheng He, Vivek Mittal, Dingcheng Gao, Stephen Wong. “Deep learning to automate analysis of high-content screening images of Epithelial-mesenchymal transition.” Abstract in 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), Chicago, Illinois, May. 20-22, 2019.

13. Tiancheng He, Mamta Puppala, Chika F. Ezeana, Yan-siang Huang, Ping-hsuan Chou, Xiaohui Yu, Shenyi Chen, Lin Wang, Zheng Yin, Rebecca L. Danforth, Tejal Patel, Jenny Chang and Stephen Wong. ATHEERA: An Artificial Intelligence Powered Toolkit for Healthcare Data Extraction, ApprEhension and Reuse Applications. Abstract in 30th Anniversary AACR Special Conference Convergence: Artificial Intelligence, Big Data, and Prediction in Cancer, Newport, Rhode Island, Oct. 14-17, 2018.

14. Tiancheng He, Mamta Puppala, Chika F. Ezeana, Yan-siang Huang, Ping-hsuan Chou, Xiaohui Yu, Shenyi Chen, Lin Wang, Zheng Yin, Rebecca L. Danforth, Tejal Patel, Jenny Chang and Stephen Wong. BRISK: An Artificial Intelligent Decision Support Tool for Precision Risk Assessment of Breast Cancer. Abstract in 30th Anniversary AACR Special Conference Convergence: Artificial Intelligence, Big Data, and Prediction in Cancer, Newport, Rhode Island, Oct. 14-17, 2018.

15. Lei Huang, Yunjie He, Xiaoyun Xu, Jiasong Li, Tiancheng He, Dongbin Gao, Xin Wang, Hong Zhao, and Stephen Wong Towards A Thinking Microscope for Cancer Research and Diagnosis Deep Learning for Automated Analysis of Cellular and Tissue Images.. Abstract in 30th Anniversary AACR Special Conference Convergence: Artificial Intelligence, Big Data, and Prediction in Cancer, Newport, Rhode Island, Oct. 14-17, 2018.

16. Roberts, A., Wang, L., Ogunti, R., Puppala, M., Chen, S., He, T., Yu, X., Nezamabadi, A., Wong, S., Frost, A. and Jackson, R.E., 2018, January. An Adaptive Predictive" APP" Utilizing an Artificial Neural Network (ANN) for Early Identification of Hospital Readmission Risks in COPD and Pneumonia Patients. In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE (Vol. 197). 25 BROADWAY, 18 FL, NEW YORK, NY 10004 USA: AMER THORACIC SOC.

17. Stubbins Renee, He Tiancheng, Yu Xiaohui, Puppala Mamta, Chen Shenyi, Valdivia Y Alvarado Miguel, Niravath Polly, Chang Jenny, Wong Stephen, Patel Tejal. "Abstract P5-13-03: The use of a behavior-modification clinical solution application to improve breast cancer survivors' accountability and health outcomes." (2017): P5-03.

18. He, Tiancheng, Ramiro Pino, Bin Teh, Stephen Wong, and Zhong Xue. "Dynamic Respiratory Motion Estimation Using Patch-Based Kernel-PCA Priors for Lung Cancer Radiotherapy." In Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, pp. 55-65. Springer, Cham, 2017.

19. He, Tiancheng, Mamta Puppala, Richard Ogunti, James J. Mancuso, Xiaohui Yu, Shenyi Chen, Jenny C. Chang, Tejal A. Patel, and Stephen TC Wong. "Deep learning analytics for diagnostic support of breast cancer disease management." In Biomedical & Health Informatics (BHI), 2017 IEEE EMBS International Conference on, pp. 365-368. IEEE, 2017.

20. Puppala, Mamta, Tiancheng He, Richard Ogunti, and Stephen T. C. Wong. "Abstract P5-03-08: Use of natural language processing on mammography and pathology findings to supplement BI-RADS to improve clinical decision making in breast cancer care." (2016): P5-03.

21. Tiancheng He, Richard Ogunti, Xiaohui Yu, Mamta Puppala, Shenyi Chen, James Mancuso, and Stephen T. C. Wong. "Abstract P5-11-12: MOCHA: An institution-based care coordination app for post-hospitalization breast cancer patients." (2016): P5-11.

22. Wang, Lei, Danping Li, Tiancheng He, and Zhong Xue. "Manifold Regularized Multi-view Subspace Clustering for image representation." In Pattern Recognition (ICPR), 2016 23rd International Conference on, pp. 283-288. IEEE, 2016.

23. Wang, Lei, Danping Li, Tiancheng He, Stephen TC Wong, and Zhong Xue. "Transductive Maximum Margin Classification of ADHD Using Resting State fMRI." In International Workshop on Machine Learning in Medical Imaging, pp. 221-228. Springer International Publishing, 2016.

24. Puppala, Mamta, Tiancheng He, Xiaohui Yu, Shenyi Chen, Richard Ogunti, and Stephen TC Wong. "Data security and privacy management in healthcare applications and clinical data warehouse environment." In Biomedical and Health Informatics (BHI), 2016 IEEE-EMBS International Conference on, pp. 5-8. IEEE, 2016.

25. He, Tiancheng, Zhong Xue, and Stephen T. Wong. "A three-dimensional medical image segmentation app using graphic theory." In Biomedical and Health Informatics (BHI), 2016 IEEE-EMBS International Conference on, pp. 268-271. IEEE, 2016.

26. He, Tiancheng, Richard Ogunti, Mamta Puppala, Shenyi Chen, Xiaohui Yu, James J. Mancuso, and Stephen TC Wong. "A smartphone app framework for segmented cancer care coordination." In Biomedical and Health Informatics (BHI), 2016 IEEE-EMBS International Conference on, pp. 372-375. IEEE, 2016.

27. Yang, Xuan, Bo Wang, Yan-Ran Li, and Tiancheng He. "Robust landmark-based image registration using l1 and l2 norm regularizations." In Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on, pp. 425-428. IEEE, 2015.

28. Yi, Jianbing, Yan-Ran Li, Xuan Yang, Tiancheng He, and Guoliang Chen. "Robust point matching by l1 regularization." In Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on, pp. 369-374. IEEE, 2015.

29. Tiancheng He, Zhong Xue, Nam Yu, Paige L. Nitsch, Bin S. Teh, Stephen T. Wong. Estimating Dynamic Lung Images from High-Dimension Chest Surface Motion Using 4D Statistical Model, The 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Boston, MA, Sept, 2014.

30. Tiancheng He, Zhong Xue, Nam Yu, Bin S. Teh, Stephen T. Wong. Spatial-Temporal Image-Constrained Lung 4D-CT Reconstruction for Radiotherapy Planning, Clinical Image-Based Procedures. Translational Research in Medical Imaging), Boston, MA, Sept, 2014

31. Tiancheng He, Zhong Xue, Paige L. Nitsch, Bin S. Teh, Stephen T. Wong. Helical Mode Lung 4D-CT Reconstruction Using Bayesian Model. The 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nagoya, Japan, Sept 22-26, 2013.

32. Zhong Xue, Tiancheng He, Kongkuo Lu, Po Su, Kelvin Wong, Miguel Valdivia y Alvarado, and Stephen Wong. Guiding Percutaneous Lung Intervention With Dynamic Image Estimation. Abstract in Annual Conference of Cancer Prevention and Research Institute of Texas, Austin, TX, Oct. 24-26, 2012.

33. Zhong Xue, Tiancheng He, Kongkuo Lu, Po Su, and Stephen Wong. Patient-Specific Respiratory Motion Compensation via Surface Sensor Signals. Abstract in Annual Conference of Cancer Prevention and Research Institute of Texas, Austin, TX, Oct. 24-26, 2012.

34. He Tiancheng, Xue Zhong, Kim Yong, Wong Stephen. Three Dimensional Dendritic Spine Detection in NeuroPsychiatric Disease Model Based on Minimal Cross-Sectional Curvature. the IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, May, 2012.

35. Tiancheng He, Zhong Xue, Stephen Wong. A novel approach for three dimensional dendrite spine segmentation and classification. SPIE Medical Imaging 2012, Image Processing, Feb. 2012, Vol.8314.

36. Tiancheng He, Zhong Xue, Kongkuo Lu, Miguel Valdivia y Alvarado, and Stephen Wong. IntegriSense molecular image sequence classification using Gaussian mixture model. SPIE Medical Imaging 2012, Biomedical Applications in Molecular, Structural, and Functional Imaging, Feb. 2012, Vol.8317.

37. Tiancheng He, Zhong Xue, Kongkuo Lu, Stephen T. Wong. A respiratory Motion Compensation Algorithm for Image-Guided Percutaneous Lung Intervention. Abstract in the Fourth Image Guided Therapy Workshop, Arlington, VA, Oct. 12-13, 2011.

38. Zhong Xue, Kelvin Wong, Tiancheng He, Miguel Valdivia y Alvarado, Kongkuo Lu, Stephen T. Wong. Multimodality Image-Guided On-The-Spot Lung Intervention and Results on VX2 Rabbit Model. Abstract in the Fourth Image Guided Therapy Workshop, Arlington, VA, Oct. 12-13, 2011.

39. Cao Wenming, Li Xiongfeng, He Tiancheng, Pu Lijuan. Hybrid-type target coverage model in wireless sensor networks Communications in Computer and Information Science, v 158 CCIS, p403-409, 2011, Computer Science for Environmental Engineering and EcoInformatics - International Workshop, CSEEE 2011, Proceedings.

40. Wenming Cao, Tiancheng He. Optimal Coverage Model in Clifford 3-Connected Wireless Sensor Networks. Advanced Engineering Forum (Volume 1) Volume Emerging Engineering Approaches and Applications, 2011, Pages 66-70.

41. Tiancheng He, Zhong Xue, Weixin Xie, and Stephen T. C. Wong Online 4-D CT Estimation for Patient-Specific Respiratory Motion Based on Real-Time Breathing Signals MICCAI (3), pp. 392 - 399, 2010. 

42. Tiancheng He, Zhong Xue, Weixin Xie, Solomon Wong, Kelvin K. Wong, Miguel Valdivia y Alvarado, and Stephen T. C. Wong. A Motion Correction Algorithm for Microendoscope Video Computing in Image-Guided Intervention MIAR, pp. 267 - 275, 2010. 

43. Miguel Valdivia y Alvarado, Tiancheng He, Zhong Xue, Stephen T. C. Wong, and Kelvin K. Wong. Peripheral Lung Cancer Detection by Vascular Tumor Labeling Using In-Vivo Microendoscopy under Real Time 3D CT Image Guided Intervention MIAR, pp. 494 - 502, 2010. 

44. Tiancheng He, Zhong Xue, Kelvin K. Wong, Miguel Valdivia y Alvarado, Weixin Xie, Stephen T.C. Wong. A fluorescence microendoscopy motion correction approach using normalized mutual information and augmented unscented Kalman filter, Computer Assisted Radiology and Surgery (CARS) 2010, Geneva, Switzerland, Jun 23-26, 2010. 

45. Tiancheng He, Zhong Xue, Kelvin K. Wong, Miguel Valdivia y Alvarado, Yong Zhang, Weixin Xie, and Stephen T. C. Wong. A Minimally Invasive Multimodality Image-Guided (MIMIG) Molecular Imaging System for Peripheral Lung Cancer Intervention and Diagnosis. IPCAI, pp. 102 - 112, 2010 

46. Kelvin Wong, Miguel Valdivia y Alvarado, Tiancheng He, Yong Zhang, Zhong Xue, Stephen T. Wong. Real Time In Situ Molecular Imaging in Lung Tumors Using Image Guided 3D Computed Tomography, Computer Assisted Radiology and Surgery (CARS) 2010, Geneva, Switzerland, Jun 23-26, 2010.

47. Tiancheng He, Jihong Pei, Qiaozhen He. A target detection algorithm based on neighborhood structure measurement in video surveillance, Proc of SPIE, 2009,Vol.7495:7954D-1:7954D-8

48. Wenming Cao, Tiancheng He. The Analysis of Breach Path Problem in Wireless Sensor Networks with Blind Area, In Proceeding of IEEE 2009 Electronic Commerce and Security, 2009, 2:537-540

49. Wenming Cao, Hao Feng, Lili Hu, Tiancheng He. Space Target Recognition Based on Biomimetic Pattern Recognition, In Proceeding of IEEE 2009 First International Workshop on Database Technology and Applications,, 2009:64-67

50. Tiancheng He, Weixin Xie, Wenming Cao. Target detection in three-dimension sensor networks based on Clifford algebra, In Proceeding of IEEE 9th International Conference on Signal Processing, 2008:2624 - 2627

51. Cao, Wenming, He, Tiancheng, Wang, Shoujue. Bimimetic Pattern Recognition for Multispectral Image, In Proceeding of IEEE Fourth International Conference on Natural Computation 2008, Volume 6:17-21 

52. Wenming Cao, Tiancheng He. Barrier coverage of wireless sensor networks based on Clifford Algebra, In Proceeding of IEEE 2008 International Symposium on Computer Science and Computational Technology, 2008:49-52

53. Wenming Cao, Tiancheng He. An algorithm for removing facial makeup disturbances based on Clifford algebras, In Proceeding of CIS Workshops 2007: 275-278 

54. Cao Wenming, He Tiancheng, Wang Shoujue. Text-continuous speech recognition based on ICA and geometrical learning, In Proceeding of IEEE International Conference on Granular Computing, 2006: 611-614