Huanmei Wu

Professor
Chair
Health Services Administration and Policy
Assistant Dean for Global Engagement
Office of the Dean
Office
541 Ritter Annex

Biography

Dr. Huanmei Wu received her PhD in Computer Science with a focus on database management from Northeastern University (Boston, MA). Before joining Temple, she had been the Chair of the Department of BioHealth Informatics at Indiana University School of Informatics and Computing - Indianapolis. Dr. Wu's background has served her well in multidisciplinary research, leading to projects that explore the roles and applications of data management, knowledge discovery, and predictive analytics to medical and life science research. Her work features partnerships among academia, community health centers, research institutes, industrial partners, and various communities.

Dr. Wu's research covers scientific database design and utilization, big data analytics, health informatics, bioinformatics, and precision medicine. Sample projects include but are not limited to:

  • Improving patient access to health care using health informatics and simulation modeling in the setting of community health centers;
  • Discovering biomarkers for early detection of Type-1 Diabetes (T1D) multi-omics predictive analysis;
  • Advancing cancer radiotherapy with accurate radiation dose delivery using image-guidance and with reduced toxicities using integrative biomarker prediction; and
  • Enhancing drug discovery for Alzheimer's disease (AD): through creating an integrative knowledge base for heterogeneous health, medical, chemical and biological, and druggable information for AD research.

Education

  • PhD, Computer and Information Science, Northeastern University
  • BS, Chemistry, Tsinghua University

Curriculum Vitae 

Courses Taught

Number

Name

Level

HIM 5102

Applications of Computer Programming in Health Informatics

Graduate

Selected Publications

  • Liu, J., Dong, C., Liu, Y., & Wu, H. (2021). CGPE: an integrated online server for Cancer Gene and Pathway Exploration. Bioinformatics, 37(15), pp. 2201-2202. England. doi: 10.1093/bioinformatics/btaa952

  • Yu, H., Lam, K., Green, M.D., Wu, H., Yang, L.i., Wang, W., Jin, J., Hu, C., Wang, Y., Jolly, S., & Kong, F. (2021). Significance of radiation esophagitis: Conditional survival assessment in patients with non-small cell lung cancer. Journal of the National Cancer Center, 1(2), pp. 31-38. doi: 10.1016/j.jncc.2021.02.003

  • Zhang, X., Li, C., Wang, X., & Wu, H. (2021). A novel fault diagnosis procedure based on improved symplectic geometry mode decomposition and optimized SVM. Measurement: Journal of the International Measurement Confederation, 173. doi: 10.1016/j.measurement.2020.108644

  • Purkayastha, S., Goyal, S., Oluwalade, B., Phillips, T., Wu, H., & Zou, X. (2021). Usability and security of different authentication methods for an electronic health records system. HEALTHINF 2021 - 14th International Conference on Health Informatics; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021, pp. 621-628.

  • Patel, J., Lai, P., Dormer, D., Gullapelli, R., Wu, H., & Jones, J.J. (2021). Comparison of Ease of Use and Comfort in Fitness Trackers for Participants Impaired by Parkinson's Disease: An exploratory study. AMIA Jt Summits Transl Sci Proc, 2021, pp. 505-514. United States. Retrieved from https://www.ncbi.nlm.nih.gov/

  • Li, M., Prasad, N., Hall, D., & Wu, H. (2020). Analysis of SARS-CoV-2 sequences reveals transmission path and emergence of SD 614Gmutation. Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, pp. 1995-1998. doi: 10.1109/BIBM49941.2020.9313091

  • Bone, R.N., Oyebamiji, O., Talware, S., Selvaraj, S., Krishnan, P., Syed, F., Wu, H., & Evans-Molina, C. (2020). A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes. Diabetes, 69(11), pp. 2364-2376. United States. doi: 10.2337/db20-0636

  • Wu, H. (2020). Community Partnerships for Enhanced Research Experience in Biomedical Informatics. Proceedings - Frontiers in Education Conference, FIE, 2020-October. doi: 10.1109/FIE44824.2020.9274116

  • Phillips, T., Yu, X., Haakenson, B., Goyal, S., Zou, X., Purkayastha, S., & Wu, H. (2020). AuthN-AuthZ: Integrated, User-Friendly and Privacy-Preserving Authentication and Authorization. Proceedings - 2020 2nd IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2020, pp. 189-198. doi: 10.1109/TPS-ISA50397.2020.00034

  • Liu, J., Dong, C., Jiang, G., Lu, X., Liu, Y., & Wu, H. (2020). Transcription factor expression as a predictor of colon cancer prognosis: a machine learning practice. BMC Med Genomics, 13(Suppl 9), p. 135. England. doi: 10.1186/s12920-020-00775-0

  • Dong, C., Liu, J., Chen, S.X., Dong, T., Jiang, G., Wang, Y., Wu, H., Reiter, J.L., & Liu, Y. (2020). Highly robust model of transcription regulator activity predicts breast cancer overall survival. BMC Med Genomics, 13(Suppl 5), p. 49. England. doi: 10.1186/s12920-020-0688-z

  • Li, L.i., Yu, P., Zhang, P., Wu, H., Chen, Q., Li, S., & Wang, Y. (2020). Upregulation of hsa_circ_0007874 suppresses the progression of ovarian cancer by regulating the miR-760/SOCS3 pathway. Cancer Med, 9(7), pp. 2491-2499. United States. doi: 10.1002/cam4.2866

  • Zhu, W., Han, Y., Wu, H., Liu, Y., Nan, X., & Zhou, Q. (2020). Predicting the results of molecular specific hybridization using boosted tree algorithm. Concurrency and Computation: Practice and Experience, 32(1). doi: 10.1002/cpe.4982

  • Purkayastha, S., Goyal, S., Phillips, T., Wu, H., Haakenson, B., Zou, X., & Soc, I.C. (2020). Continuous Security through Integration Testing in an Electronic Health Records System. 2020 INTERNATIONAL CONFERENCE on SOFTWARE SECURITY and ASSURANCE (ICSSA 2020), pp. 26-31. doi: 10.1109/ICSSA51305.2020.00012

  • Yu, H., Lam, K., Wu, H., Green, M., Wang, W., Jin, J., Hu, C., Jolly, S., Wang, Y., & Kong, F.S. (2020). Weighted-Support Vector Machine Learning Classifier of Circulating Cytokine Biomarkers to Predict Radiation-Induced Lung Fibrosis in Non-Small-Cell Lung Cancer Patients. Front Oncol, 10, p. 601979. Switzerland. doi: 10.3389/fonc.2020.601979

  • Jiang, H., Ramadan, A., Laurine, B., Szu-Wei, T.u., Liu, H., Rowan, C., Liu, X., Wu, H., Wan, J., & Paczesny, S. (2019). IL-33 Therapy Prevents Acute Lung Injury after Transplantation Via IL-9-Producing Type 2 Innate Lymphoid Cells Induction. BLOOD, 134. doi: 10.1182/blood-2019-123821

  • Zhu, W., Liu, X., Xu, M., & Wu, H. (2019). Predicting the results of RNA molecular specific hybridization using machine learning. IEEE/CAA Journal of Automatica Sinica, 6(6), pp. 1384-1396. doi: 10.1109/JAS.2019.1911756

  • Yu, H., Wu, H., Wang, W., Jolly, S., Jin, J., Hu, C., & Kong, F.S. (2019). Machine Learning to Build and Validate a Model for Radiation Pneumonitis Prediction in Patients with Non-Small Cell Lung Cancer. Clin Cancer Res, 25(14), pp. 4343-4350. United States. doi: 10.1158/1078-0432.CCR-18-1084

  • Wu, H., Kothiya, P., Khan, A., & Liu, J. (2019). Family-HealthVault: A group caring and phi sharing framework among family members. 2019 IEEE International Conference on Healthcare Informatics, ICHI 2019. doi: 10.1109/ICHI.2019.8904613

  • Kunjan, K., Wu, H., Toscos, T.R., & Doebbeling, B.N. (2019). Large-Scale Data Mining to Optimize Patient-Centered Scheduling at Health Centers. J Healthc Inform Res, 3(1), pp. 1-18. Switzerland. doi: 10.1007/s41666-018-0030-0

  • Hosseini, M., Faiola, A., Jones, J., Vreeman, D.J., Wu, H., & Dixon, B.E. (2019). Impact of document consolidation on healthcare providers' perceived workload and information reconciliation tasks: a mixed methods study. J Am Med Inform Assoc, 26(2), pp. 134-142. England. doi: 10.1093/jamia/ocy158

  • Kechavarzi, B.D., Wu, H., & Doman, T.N. (2019). Bottom-up, integrated -omics analysis identifies broadly dosage-sensitive genes in breast cancer samples from TCGA. PLoS One, 14(1), p. e0210910. United States. doi: 10.1371/journal.pone.0210910

  • Akino, Y., Wu, H., Oh, R., & Das, I.J. (2019). An effective method to reduce the interplay effects between respiratory motion and a uniform scanning proton beam irradiation for liver tumors: A case study. J Appl Clin Med Phys, 20(1), pp. 220-228. United States. doi: 10.1002/acm2.12508

  • Lai, P.T.S., Wilson, J., Wu, H., Jones, J., & Dixon, B.E. (2019). Measuring and Visualizing Chlamydia and Gonorrhea Inequality: An Informatics Approach Using Geographical Information Systems. Online J Public Health Inform, 11(2), p. e8. United States. doi: 10.5210/ojphi.v11i2.10155

  • Zhu, W., Wu, H., & Deng, M. (2019). LTL model checking based on binary classification of machine learning. IEEE Access, 7, pp. 135703-135719. doi: 10.1109/ACCESS.2019.2942762

  • Deng, M., Cao, H., Zhu, W., Wu, H., & Zhou, Y. (2019). Benchmark tests for the model-checking-based ids algorithms. IEEE Access, 7, pp. 135479-135498. doi: 10.1109/ACCESS.2019.2939011

  • Liu, X., Yue, Z., Cao, Y., Taylor, L., Zhang, Q., Choi, S.W., Hanash, S., Ito, S., Chen, J.Y., Wu, H., & Paczesny, S. (2019). Graft-Versus-Host Disease-Free Antitumoral Signature After Allogeneic Donor Lymphocyte Injection Identified by Proteomics and Systems Biology. JCO Precis Oncol, 3. United States. doi: 10.1200/po.18.00365

  • Liu, J., Li, C., Xu, J., & Wu, H. (2018). A patient-oriented clinical decision support system for CRC risk assessment and preventative care. BMC Med Inform Decis Mak, 18(Suppl 5), p. 118. England. doi: 10.1186/s12911-018-0691-x

  • Wang, W., Huang, L., Jin, J., Jolly, S., Zang, Y., Wu, H., Yan, L.i., Pi, W., Li, L., Mellor, A.L., & Kong, F.S. (2018). IDO Immune Status after Chemoradiation May Predict Survival in Lung Cancer Patients. Cancer Res, 78(3), pp. 809-816. United States. doi: 10.1158/0008-5472.CAN-17-2995

  • Mohammadi, I., Wu, H., Turkcan, A., Toscos, T., & Doebbeling, B.N. (2018). Data Analytics and Modeling for Appointment No-show in Community Health Centers. J Prim Care Community Health, 9, p. 2150132718811692. United States. doi: 10.1177/2150132718811692

  • Hosseini, M., Jones, J., Faiola, A., Vreeman, D.J., Wu, H., & Dixon, B.E. (2017). Reconciling disparate information in continuity of care documents: Piloting a system to consolidate structured clinical documents. J Biomed Inform, 74, pp. 123-129. United States. doi: 10.1016/j.jbi.2017.09.001

  • Mao, S., Wu, H., Lu, M., & Cheng, C.W. (2017). Multiple 3d marker localization and tracking system in image-guided radiotherapy. International Journal of Robotics and Automation, 32(5), pp. 517-523. doi: 10.2316/Journal.206.2017.5.206-5027

  • Zhang, J. & Wu, H. (2017). Page file-oriented web application design. Proceedings - 2016 8th International Conference on Information Technology in Medicine and Education, ITME 2016, pp. 645-649. doi: 10.1109/ITME.2016.0151

  • Wu, H. (2017). Systematic study of big data science and analytics programs. ASEE Annual Conference and Exposition, Conference Proceedings, 2017-June.

  • Mao, S., Wu, H., Sandison, G., & Fang, S. (2017). Iterative volume morphing and learning for mobile tumor based on 4DCT. Phys Med Biol, 62(4), pp. 1501-1517. England. doi: 10.1088/1361-6560/aa56b2

  • Wu, H., Ambavane, A., Mukherjee, S., & Mao, S. (2017). A coherent healthcare system with RDBMS, NoSQL & GIS databases. Proceedings of the 32nd International Conference on Computers and Their Applications, CATA 2017, pp. 313-318.

  • Zhu, W., Feng, C., & Wu, H. (2017). Model Checking Temporal Logic Formulas Using Sticker Automata. Biomed Res Int, 2017, p. 7941845. United States. doi: 10.1155/2017/7941845

  • Wu, H., Zhang, J., Mukherjee, S., & Deng, M. (2017). A workflow-driven web inventory management system for reprocessing businesses. Communications in Computer and Information Science, 731, pp. 321-335. doi: 10.1007/978-3-319-62698-7_27

  • Wu, H., Raha, O., & Zhang, J. (2016). Customizing bioinformatics graduate programs for diversified student backgrounds. Proceedings - Frontiers in Education Conference, FIE, 2016-November. doi: 10.1109/FIE.2016.7757506

  • Wang, W., Huang, L., Wu, H., & Kong, F. (2016). PS01.48: Radiation Induced Changes of Indoleamine 2, 3-dioxygenase Activities Predict Overall Survival in Patients with Non–Small Cell Lung Cancer Topic: Radiation Oncology. Journal of Thoracic Oncology, 11(11), p. s299. doi: 10.1016/j.jtho.2016.09.083

  • Yan, L.i., Zhang, H., King, M., Wu, H., Huang, C., Pi, W., Pu, Y., Tan, M., & Kong, F. (2016). PS01.47: PET Volumetric Prognostic Index may be the Most Significant Survival Factor in Non–Small Cell Lung Cancer Treated with Chemoradiation Topic: Radiation Oncology. Journal of Thoracic Oncology, 11(11), pp. s298-s299. doi: 10.1016/j.jtho.2016.09.082

  • Mohammadi, I., Hashemikhabir, S., Toscos, T., & Wu, H. (2016). Health care needs of underserved populations in the city of Indianapolis. ACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, pp. 512-513. doi: 10.1145/2975167.2985660

  • Mao, S., Wu, H., Lu, M., & Cheng, C.W. (2016). Real-time 3D tumor tracking based on 2D projections of implanted markers. Proceedings of the 31st International Conference on Computers and Their Applications, CATA 2016, pp. 177-182.

  • Mukherjee, S., Wu, H., & Jones, J. (2016). Healthcare Data Analytics for Parkinson's Disease Patients: A Study of Hospital Cost and Utilization in the United States. AMIA Annu Symp Proc, 2016, pp. 1950-1958. United States. Retrieved from https://www.ncbi.nlm.nih.gov/

  • Zhang, J., Wang, M., & Wu, H. (2016). Discussion of RAMCloud storage based on NUMA architecture. 29th International Conference on Computer Applications in Industry and Engineering, CAINE 2016, pp. 233-238.

  • Zhang, J., Wang, M., & Wu, H. (2016). NUMA memory arrangement by using BW-SA. 29th International Conference on Computer Applications in Industry and Engineering, CAINE 2016, pp. 239-244.

  • Wu, H. & Palani, A. (2015). Bioinformatics curriculum development and skill sets for bioinformaticians. Proceedings - Frontiers in Education Conference, FIE, 2015. doi: 10.1109/FIE.2015.7344321

  • Wu, H., Palani, A., & IEEE (2015). Bioinformatics Curriculum Development and Skill Sets for Bioinformaticians. FRONTIERS in EDUCATION CONFERENCE (FIE), 2015, pp. 1813-1819. Retrieved from http://gateway.webofknowledge.com/

  • Fahimian, B., Wu, J., Wu, H., Geneser, S., & Xing, L. (2014). Dual-Gated Volumetric Modulated Arc Therapy. Radiat Oncol, 9, p. 209. England. doi: 10.1186/1748-717X-9-209

  • Akino, Y., Das, I.J., Wu, H., Oh, R., & Inoue, T. (2014). Respiratory Motion Management of Liver Cancer in Uniform Scanning Proton Beam Therapy. International Journal of Radiation Oncology • Biology • Physics, 90(1), pp. s915-s916. doi: 10.1016/j.ijrobp.2014.05.2598

  • Wu, H., Besemer, A., & Lu, M. (2014). Dynamic correlation of synchronized internal tumor and external skin respiratory motion for image guided lung cancer radiation treatment. International Journal of Computers and Their Applications, 21(1), pp. 14-23.

  • Wu, H., Das, I.J., Zhao, Q., Chen, H., Lu, M., & Cheng, C.W. (2013). Subsequence based treatment failure detection and intervention in image guided radiotherapy. 2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings, pp. 195-200. doi: 10.1109/ICIS.2013.6607840

  • Pepin, E.W., Wu, H., & Shirato, H. (2013). Use of dMLC for implementation of dynamic respiratory-gated radiation therapy. Med Phys, 40(10), p. 101708. United States. doi: 10.1118/1.4820534

  • Wu, H., Lu, M., Zhao, Q., & Cheng, C. (2013). An Integrated Image Guided Proton Therapy Monitoring System With Real-Time Imaging Processing and Treatment Intervention. International Journal of Radiation Oncology • Biology • Physics, 87(2), pp. s183-s184. doi: 10.1016/j.ijrobp.2013.06.473

  • Zhao, Q., Wu, H., & Das, I.J. (2013). Quality assurance of proton compensators. IFMBE Proceedings, 39 IFMBE, pp. 1719-1722. doi: 10.1007/978-3-642-29305-4_452

  • Besemer, A., Wu, H., & Lu, M. (2013). Dynamic adaptive correlation over synchronous streaming time series. 26th International Conference on Computer Applications in Industry and Engineering, CAINE 2013, pp. 23-28.

  • Yan, R. & wu, H. (2013). SU‐E‐J‐137: Hybrid EOE and EOI Dynamic Gating for Effective Image Guided Radiation Treatment. Medical Physics, 40(6), p. 182. doi: 10.1118/1.4814349

  • wu, J., Cheng, C., & wu, H. (2013). SU‐E‐T‐668: Feasibility Study of Prostate Seed Implant with Intensity Modulated Proton Boost. Medical Physics, 40(6), p. 359. doi: 10.1118/1.4815095

  • wu, H., lu, M., & Cheng, C. (2013). TU‐G‐141‐07: An Innovative Iterative Neighboring Volume Morphing Algorithm Based On Landmark Mesh to Create 3DCT During Treatment. Medical Physics, 40(6), p. 457. doi: 10.1118/1.4815467

  • Yan, R., Dang, C., & Wu, H. (2012). ChiCanBank: A Chinese cancer tissue bank management system. 25th International Conference on Computer Applications in Industry and Engineering, CAINE 2012 and 4th International Symposium on Sensor Network and Application, SNA 2012, pp. 127-132.

  • Wu, J., Fahimian, B., Wu, H., & Xing, L. (2012). TU-E-BRB-08: Dual Gated Volumetric Modulated Arc Therapy. Med Phys, 39(6Part24), p. 3909. United States. doi: 10.1118/1.4735957

  • Wu, J. & Wu, H. (2012). SU-E-T-413: Dose Verification for Linac-Based SRS Commissioning and Patient Specific QA. Med Phys, 39(6Part16), p. 3799. United States. doi: 10.1118/1.4735502

  • Wu, H., Zhao, Q., & Das, I. (2012). SU-E-J-212: Real-Time Treatment Failure Detection for Moving Tumor with Image Guidance. Med Phys, 39(6Part9), p. 3701. United States. doi: 10.1118/1.4735052

  • Wu, H., Zhao, Q., Cao, M., & Das, I. (2012). A line-profile based double partial fusion method for acquiring planning CT of oversized patients in radiation treatment. J Appl Clin Med Phys, 13(2), p. 3629. United States. doi: 10.1120/jacmp.v13i2.3629

  • Wu, H. & Malipeddi, S. (2011). Influential factors for severe traffic crashes. Proceedings of 2011 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2011, pp. 71-75. doi: 10.1109/ICVES.2011.5983749

  • Verma, P.S., Wu, H., Langer, M.P., Das, I.J., & Sandison, G. (2011). Survey: Real-time tumor motion prediction for image-guided radiation treatment. Computing in Science and Engineering, 13(5), pp. 24-35. doi: 10.1109/MCSE.2010.99

  • Zhao, Q., Wu, H., Cheng, C., & Das, I.J. (2011). Dose monitoring and output correction for the effects of scanning field changes with uniform scanning proton beam. Med Phys, 38(8), pp. 4655-4661. United States. doi: 10.1118/1.3609417

  • Wu, H., Jones, A., & Agrawal, E. (2011). Medical error detection based on insurance claims. HEALTHINF 2011 - Proceedings of the International Conference on Health Informatics, pp. 604-607.

  • Pepin, E.W., Wu, H., Zhang, Y., & Lord, B. (2011). Correlation and prediction uncertainties in the cyberknife synchrony respiratory tracking system. Med Phys, 38(7), pp. 4036-4044. United States. doi: 10.1118/1.3596527

  • Pepin, E.W., Wu, H., & Shirato, H. (2011). Dynamic gating window for compensation of baseline shift in respiratory-gated radiation therapy. Med Phys, 38(4), pp. 1912-1918. United States. doi: 10.1118/1.3556588

  • wu, H., Jain, D., & Zhao, Q. (2011). SU‐E‐J‐26: Real‐Time Dynamic Management of the Correlation Between Internal Tumor Movement and External Abdominal Motion. Medical Physics, 38(6), p. 3447. doi: 10.1118/1.3611794

  • Pepin, E., wu, H., & Shirato, H. (2011). SU‐E‐J‐161: Dynamic Gating Window for Compensation of Baseline Shift in Respiratory‐Gated Radiation Therapy. Medical Physics, 38(6), p. 3480. doi: 10.1118/1.3611929

  • Besemer, A. & wu, H. (2011). SU‐E‐T‐510: Static and Dynamic Polynomial Correlations of Internal/external Marker Positions in Radiotherapy. Medical Physics, 38(6), p. 3606. doi: 10.1118/1.3612463

  • Zhao, Q., wu, H., Cheng, C., & Das, I. (2011). TH‐E‐BRB‐04: Comparing the Effects of Tumor Motion Patterns and Beam Delivery Timing Between Scattering and Uniform Scanning Proton Beam. Medical Physics, 38(6), pp. 3866-3867. doi: 10.1118/1.3613561

  • Kalet, A., Sandison, G., Wu, H., & Schmitz, R. (2010). A state-based probabilistic model for tumor respiratory motion prediction. Phys Med Biol, 55(24), pp. 7615-7631. England. doi: 10.1088/0031-9155/55/24/015

  • Pepin, E.W., Wu, H., Sandison, G.A., Langer, M., & Shirato, H. (2010). Site-specific volumetric analysis of lung tumour motion. Phys Med Biol, 55(12), pp. 3325-3337. England. doi: 10.1088/0031-9155/55/12/005

  • Zhao, Q., Wu, H., Wolanski, M., Pack, D., Johnstone, P.A.S., & Das, I.J. (2010). A sector-integration method for dose/MU calculation in a uniform scanning proton beam. Phys Med Biol, 55(3), pp. N87-N95. England. doi: 10.1088/0031-9155/55/3/N02

  • Zhao, Q., wu, H., Das, I., & Cheng, C. (2010). TU‐C‐BRA‐06: Analysis of Influential Factors of Dose Delivery to a Moving Tumor in Proton Radiotherapy Using Uniform Scanning Beam. Medical Physics, 37(6), pp. 3382-3383. doi: 10.1118/1.3469218

  • Pepin, E., wu, H., Zhang, Y., & Lord, B. (2010). SU‐GG‐J‐105: An Analysis of CyberKnife Prediction Accuracy. Medical Physics, 37(6), p. 3169. doi: 10.1118/1.3468329

  • Kalet, A., Sandison, G., Schmitz, R., & wu, H. (2010). SU‐GG‐J‐87: State Based Motion Tracking and Prediction Using a Hidden Markov Model. Medical Physics, 37(6), p. 3165. doi: 10.1118/1.3468311

  • Wu, H. (2010). Project based multidisciplinary education for undergraduates. ASEE Annual Conference and Exposition, Conference Proceedings.

  • Verma, P., wu, H., Langer, M., & Das, I. (2010). SU‐GG‐J‐103: Development of Statistical/Mathematical Predictive Model for Lung Tumor Motion. Medical Physics, 37(6), p. 3169. doi: 10.1118/1.3468327

  • Zhao, Q., wu, H., Pack, D., Cheng, C., & Das, I. (2010). SU‐GG‐T‐268: The Effect of Scanning Pattern and Dose Rate on Output Factor for Uniform Scanning Proton Beam. Medical Physics, 37(6), p. 3247. doi: 10.1118/1.3468660

  • wu, H., Cao, M., Zhao, Q., & Das, I. (2010). SU‐GG‐J‐16: Impacting Parameter Analysis for IMRT Quality. Medical Physics, 37(6), p. 3148. doi: 10.1118/1.3468239

  • Zhao, Q. & Wu, H. (2009). Quality assurance of internal/external tumor motion. 3rd International Conference on Bioinformatics and Biomedical Engineering, ICBBE 2009. doi: 10.1109/ICBBE.2009.5163268

  • Justice, C., Wu, H., & Walton, E. (2009). Mobile forensics in healthcare. 2009 8th International Conference on Mobile Business, pp. 255-260. doi: 10.1109/ICMB.2009.51

  • Verma, P.S., Wu, H., Langer, M., Pepin, E., Shirato, H., & Das, I. (2009). A Real-time Pattern Preserving Online Algorithm for Unrecoverable Error Removal from Lung Motion Signal. International Journal of Radiation Oncology • Biology • Physics, 75(3), p. s662. doi: 10.1016/j.ijrobp.2009.07.1510

  • Wu, H., He, C., Zhao, Q., Berbeco, R., Shirato, H., & Nishioka, S. (2009). SU‐FF‐J‐115: Evaluation of Internal/External Correlation with Missed Volume. Medical Physics, 36(6), pp. 2502-2503. doi: 10.1118/1.3181407

  • wu, H., Zhang, Y., Zhao, Q., & Lord, B. (2009). SU‐FF‐I‐122: Assessment of Lung Tumors Treatment Accuracy Using CyberKnife Synchrony Model. Medical Physics, 36(6), p. 2463. doi: 10.1118/1.3181243

  • Zhao, Q., Wu, H., & IEEE (2009). Quality Assurance of Internal/External Tumor Motion. 2009 3RD INTERNATIONAL CONFERENCE on BIOINFORMATICS and BIOMEDICAL ENGINEERING, VOLS 1-11, pp. 2613-+. Retrieved from http://gateway.webofknowledge.com/

  • Pepin, E., wu, H., Sandison, G., Langer, M., & Shirato, H. (2009). TU‐C‐303A‐10: Site‐Specific Volumetric Analysis of Lung Tumor Motion. Medical Physics, 36(6), p. 2726. doi: 10.1118/1.3182347

  • Zhao, Q., wu, H., Wolanski, M., Hecksel, D., Pack, D., & Das, I. (2009). TH‐C‐BRD‐02: MU Calculation for Uniform Scanning Proton Beam. Medical Physics, 36(6), p. 2795. doi: 10.1118/1.3182604

  • Zhao, Q., wu, H., Zhao, L., & Das, I. (2009). SU‐FF‐T‐234: A Simple Method for Quality Assurance of Proton Compensators. Medical Physics, 36(6), p. 2574. doi: 10.1118/1.3181710

  • Wu, H., Zhao, Q., Berbeco, R.I., Nishioka, S., Shirato, H., & Jiang, S.B. (2008). Gating based on internal/external signals with dynamic correlation updates. Phys Med Biol, 53(24), pp. 7137-7150. England. doi: 10.1088/0031-9155/53/24/009

  • Zhao, L., Sandison, G., Farr, J., Wu, H., & Fitzek, M. (2008). The moving target induced dosimetric effect vs. beam direction in proton radiotherapy of moving lung tumors. BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008, 2, pp. 804-808. doi: 10.1109/BMEI.2008.317

  • Wu, H., Zhao, Q., & Zhao, L. (2008). Knowledge discovery from tumor respiratory motion data. BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008, 1, pp. 297-301. doi: 10.1109/BMEI.2008.116

  • Wu, H., Langer, M., Demir, D., Shmukler, E.M., Zhao, Q., Gammon, N., & Shirato, H. (2008). Hysteresis Analysis of Lung Tumor Motion in Radiation Treatment. International Journal of Radiation Oncology • Biology • Physics, 72(1), pp. s443-s444. doi: 10.1016/j.ijrobp.2008.06.1820

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