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   * [[http://​www.informatik.uni-trier.de/​~ley/​pers/​hd/​w/​Wang:​Fusheng.html|DBLP]]   * [[http://​www.informatik.uni-trier.de/​~ley/​pers/​hd/​w/​Wang:​Fusheng.html|DBLP]]
   * [[http://​www.ncbi.nlm.nih.gov/​pubmed?​term=Wang,​ Fusheng[Author - Full]|PubMed]]   * [[http://​www.ncbi.nlm.nih.gov/​pubmed?​term=Wang,​ Fusheng[Author - Full]|PubMed]]
 +
 +==== 2021 ====
 +
 +  * Dejun Teng, Akshay Nehe, Prajeeth Emanuel, Furqan Baig, Jun Kong and Fusheng Wang: //​[[https://​www3.cs.stonybrook.edu/​~fuswang/​publications.html|GPU-based Real-time Contact Tracing at Scale]]//. To Appear in Proceedings of the 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2021), November 2-5, 2021, Beijing, China.
 +  * Zhi Li, Maozheng Zhao, Yifan Wang, Sina Rashidian, Furqan Baig, Rui Liu, Wanyu Liu, Michel Beaudouin-Lafon,​ Brooke Ellison, Fusheng Wang, IV Ramakrishnan and Xiaojun Bi: //​[[https://​openreview.net/​forum?​id=r6Z8apiZQt|BayesGaze:​ A Bayesian Approach to Eye-Gaze Based Target Selection]]//​. In Proceedings of Graphics Interface Conference. May 27 – 28, 2021. Vancouver, British Columbia, Canada.
 +  * Hongyi Duanmu, Fusheng Wang, George Teodoro and Jun Kong: //​[[https://​academic.oup.com/​bioinformatics/​advance-article-abstract/​doi/​10.1093/​bioinformatics/​btab418/​6291653|Foveal Blur-Boosted Segmentation of Nuclei in Histopathology Images with Shape Prior Knowledge and Probability Map Constraints]]//​. Bioinformatics. 2021.
 +  * Jianyuan Deng, Wei Hou, Xinyu Dong, Janos Hajagos, Mary Saltz, Joel Saltz and Fusheng Wang: //​[[https://​link.springer.com/​article/​10.1007/​s40801-021-00253-8|A Large-Scale Observational Study on the Temporal Trends and Risk Factors of Opioid Overdose: Real-World Evidence for Better Opioids]]//​. Drugs - Real World Outcomes. 2021.
 +  * Dejun Teng, Furqan Baig, Qiheng Sun, Jun Kong and Fusheng Wang: //IDEAL: a Vector-Raster Hybrid Model for Efficient Spatial Queries over Complex Polygons//. In Proceedings of the 22nd IEEE International Conference on Mobile Data Management. June 15 - June 18, 2021.
 +  * Hongxiao Li, Hanyi Yu, Yong-Kyu Kim, Fusheng Wang, George Teodoro, Yi Jiang, John M. Nickerson and Jun Kong: //​[[https://​tvst.arvojournals.org/​article.aspx?​articleid=2772507|Computational Model-Based Estimation of Mouse Eyeball Structure From Two-Dimensional Flatmount Microscopy Images]]//. Translational Vision Science and Technology. April 2021, Vol.10, 25.
 +  * Xinyu Dong, Jianyuan Deng, Sina Rashidian, Kayley Abell-Hart, Wei Hou, Richard N Rosenthal, Mary Saltz, Joel H Saltz and Fusheng Wang: //​[[https://​academic.oup.com/​jamia/​advance-article-abstract/​doi/​10.1093/​jamia/​ocab043/​6261158|Identifying Risk of Opioid Use Disorder for Patients Taking Opioid Medications with Deep Learning]]//​. Journal of the American Medical Informatics Association (JAMIA). 2021, ocab043.
 +  * Xinyu Dong, Jianyuan Deng, Wei Hou, Sina Rashidian, Kayley Abell-Hart, Richard N Rosenthal, Mary Saltz, Joel H Saltz and Fusheng Wang: //​[[https://​www.sciencedirect.com/​science/​article/​abs/​pii/​S153204642100054X|Predicting Opioid Overdose Risk of Patients with Opioid Prescriptions Using Electronic Health Records Based on Temporal Deep Learning]]//​. Journal of Biomedical Informatics. 2021 Mar 9;​116:​103725.
 +  * Anthony Xiang, Wei Hou, Sina Rashidian, Richard N Rosenthal, Kayley Abell-Hart, Xia Zhao and Fusheng Wang: //​[[https://​publichealth.jmir.org/​2021/​4/​e23426|Association of Opioid Use Disorder With 2016 Presidential Voting Patterns: A Cross-Sectional Study in New York State at Census Tract Level]]//. JMIR Public Health Surveill 2021;​7(4):​e23426
 +  * Hongxiao Li, Hanyi Yu, Yong-Kyu Kim, Fusheng Wang, George Teodoro, Yi Jiang, John Nickerson, and Jun Kong: //​Three-Dimensional Mouse Eyeball Spherical Reconstruction from Two-Dimension Flat-Mount Microscopy Images//. In Press. Translational Vision Science and Technology.
 +  * Xin Chen, Wei Hou, Sina Rashidian, Yu Wang, Xia Zhao, George Stuart Leibowitz, Richard N Rosenthal, Mary Saltz, Joel H Saltz, Elinor Randi Schoenfeld and Fusheng Wang: //​[[https://​www.nature.com/​articles/​s41598-021-84148-2|A Large-Scale Retrospective Study of Opioid Poisoning in New York State with Implications for Targeted Interventions]]//​. Scientific Reports 11, 5152 (2021).
 +  * Pangpang Liu, Fusheng Wang, George Teodoro, Jun Kong: //​[[https://​www3.cs.stonybrook.edu/​~fuswang/​publications.html|Histopathology Image Registration by Integrated Texture and Spatial Proximity based Landmark Selection and Modification]]//​. In Proceedings of the 2021 IEEE International Symposium on Biomedical Imaging (ISBI 2021), April 13-16, 2021.
 +  * Aurelie Akossi, Fusheng Wang, George Teodoro, Jun Kong: //​[[https://​www3.cs.stonybrook.edu/​~fuswang/​publications.html|Image Registration with Optimal Regularization Parameter Selection by Learned Auto Encoder Features]]//​. In Proceedings of the 2021 IEEE International Symposium on Biomedical Imaging (ISBI 2021), April 13-16, 2021.
 +  * Furqan Baig, Dejun Teng, Jun Kong and Fusheng Wang: //​[[https://​www3.cs.stonybrook.edu/​~fuswang/​publications.html|SPEAR:​ Dynamic Spatio-Temporal Query Processing over High Velocity Data Streams]]//​. In Proceedings of the 37th IEEE International Conference on Data Engineering,​ Apr 19-22, 2021, Chania, Greece.
 +  * Mousumi Roy, Jun Kong, Satyananda Kashyap, Vito Paolo Pastore, Fusheng Wang, Ken C. L. Wong and Vandana Mukherjee://​[[https://​www.nature.com/​articles/​s41598-020-80610-9|Convolutional Autoencoder Based Model HistoCAE for Segmentation of Viable Tumor Regions in Liver Whole-Slide Images]]//. Scientific Reports. Sci Rep 11, 139 (2021).
 +
 +==== 2020 ====
 +
 +  * Sina Rashidian, Kayley Abell-Hart, Janos Hajagos, Richard Moffitt, Veena Lingam, Victor Garcia, Chao-Wei Tsai, Fusheng Wang, Xinyu Dong, Siao Sun, Jianyuan Deng, Rajarsi Gupta, Joshua, Miller, Joel Saltz, Mary Saltz: //​[[https://​medinform.jmir.org/​2020/​12/​e22649/​|Detecting Miscoded Diabetes Diagnosis Codes in EHR for Quality Improvement:​ A Temporal Deep Learning Approach]]//​. Journal of Medical Internet Research - Medical Informatics. Vol 8, No 12 (2020): December.
 +  * Hannah Yao, Sina Rashidian, Xinyu Dong, Hongyi Duanmu, Richard Rosenthal and Fusheng Wang: //​[[https://​www.jmir.org/​2020/​11/​e15293|Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach]]//​. Journal of Medical Internet Research. Vol 22, No 11 (2020): November.
 +  * Sina Rashidian, Fusheng Wang, Richard Moffitt, Victor Garcia, Anurag Dutt, Wei Chang, Vishwam Pandya, Janos Hajagos, Mary Saltz and Joel Saltz: //​[[https://​link.springer.com/​chapter/​10.1007/​978-3-030-59137-3_4|SmoothGAN:​ Towards Sharp and Smooth Synthetic EHR Data Generation]]//​. In Proceedings of 2020 International Conference on Artificial Intelligence in Medicine (AIME 2020).
 +  * Mousumi Roy, Fusheng Wang*, Hoang Vo, Dejun Teng, George Teodoro, Alton Farris III, Eduardo Castillo-Leon,​ Miriam Vos and Jun Kong*: //​[[https://​www.nature.com/​articles/​s41374-020-0463-y|Deep Learning Based Accurate Hepatic Steatosis Quantification for Histological Assessment of Liver Biopsies]]//​. [[https://​www.nature.com/​articles/​s41374-020-0463-y|Laboratory Investigation. 100, 1367–1383 (2020)]]. (*: Corresponding authors.)
 +  * Hongyi Duanmu, Pauline Boning Huang, Srinidhi Brahmavar, Stephanie Lin, Thomas Ren, Jun Kong, Fusheng Wang* and Tim Duong*: //​[[https://​link.springer.com/​chapter/​10.1007/​978-3-030-59713-9_24|Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy Using Deep Learning with Integrative Imaging, Molecular and Demographic Data]]//. In Proceedings of Medical Image Computing and Computer Assisted Interventions 2020 (MICCAI 2020), October 4 - 8, 2020, Lima, Peru. (*: Corresponding authors.)
 +  * Hanyi Yu, Fusheng Wang, Sung Bo Yoon, Robert Kauffman, Jens Wrammert, Adam Marcus and Jun Kong: //​[[https://​www3.cs.stonybrook.edu/​~fuswang/​publications.html|Non-Gaussian Models for Object Motion Analysis with Time-lapse Fluorescence Microscopy Images]]//. Book Chapter. Modern Statistical Methods for Health Research. Springer. In Press.
 +  * Alevtina Dubovitskaya,​ Furqan Baig, Zhigang Xu, Rohit Shukla, Pratik Sushil Zambani, Arun Swaminathan,​ Md Majid Jahangir, Khadija Chowdhry, Rahul Lachhani, Nitesh Idnani, Michael Schumacher, Karl Aberer, Scott Stoller, Samuel Ryu and Fusheng Wang: //​[[https://​www.jmir.org/​2020/​8/​e13598/​|ACTION-EHR:​ Patient-Centric Blockchain-Based EHR Data Management for Cancer Care]]//. Journal of Medical Internet Research. 2020;​22(8):​e13598
 +  * Chunjie Zhou, Ali Li, Aihua Hou, Zhiwang Zhang, Zhenxing Zhang, Pengfei Dai and Fusheng Wang: //​[[https://​www.sciencedirect.com/​science/​article/​abs/​pii/​S095741742030186X|Modeling Methodology for Early Warning of Chronic Heart Failure Based on Real Medical Big Data]]//. [[https://​www.journals.elsevier.com/​expert-systems-with-applications|Expert Systems with Applications]],​ Volume 151, 1 August 2020.
 +  * Furqan Baig, Chao Gao, Dejun Teng, Jun Kong and Fusheng Wang: //​[[https://​www.frontiersin.org/​articles/​10.3389/​fdata.2020.00014/​full|Accelerating Spatial Cross-Matching on CPU-GPU Hybrid Platform with CUDA and OpenACC]]//​. Frontiers in Big Data. Vol 3, 2020.
 +  * Thomas Ren, Renee Cattell, Hongyi Duanmu, Pauline Huang, Haifang Li, Rami Vanguri, Michael Z. Liu, Sachin Jambawalikar,​ Richard Ha, Fusheng Wang, Jules Cohen, Clifford Bernstein, Lev Bangiyev and Timothy Q. Duong: //​[[https://​www.clinical-breast-cancer.com/​article/​S1526-8209(19)30757-8/​pdf|Convolutional Neural Network Detection of Axillary Lymph Node Metastasis Using Standard Clinical Breast MRI]]//. Clinical Breast Cancer. VOLUME 20, ISSUE 3, E301-E308, June 01, 2020.
 +  * Hongyi Duanmu, Jinkoo Kim, Praitayini Kanakaraj, Andrew Wang, John Joshua, Jun Kong and Fusheng Wang: //​[[https://​pubmed.ncbi.nlm.nih.gov/​32802270/​|Automatic Brain Organ Segmentation with 3D Fully Convolutional Neural Network for Radiation Therapy Treatment Planning]]//​. In Proceedings of 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI). Apr 2-7, 2020, Iowa City, Iowa, USA.
 +  * Jianyuan Deng and Fusheng Wang: //​[[https://​arxiv.org/​abs/​1912.02964|An Informatics-based Approach to Identify Key Pharmacological Components in Drug-Drug Interactions]]//​. In Proceedings of AMIA Informatics Summit, March 23 – March 26, 2020, Houston, TX, USA.
 +
 +==== 2019 ====
 +
 +  * Geoffrey Fox, Judy Qiu, David Crandall, Gregor Von Laszewski, Oliver Beckstein, John Paden, Ioannis Paraskevakos,​ Shantenu Jha, Fusheng Wang, Madhav Marathe, Anil Vullikanti, Thomas Cheatham: //​[[http://​dsc.soic.indiana.edu/​publications/​FormattedSPIDALPaperJune2019.pdf|Contributions to High-Performance Big Data Computing]]//​. Book Chapter. [[http://​ebooks.iospress.nl/​volume/​future-trends-of-hpc-in-a-disruptive-scenario|Future Trends of HPC in a Disruptive Scenario]]. IOS Press. Pages34 - 81. Vol 34, 2019.
 +  * Alevtina Dubovitskaya,​ Petr Novotny, Zhigang Xu and Fusheng Wang: //​[[https://​www.karger.com/​Article/​Abstract/​504325|Applications of Blockchain Technology for Data-Sharing in Oncology: Results from Systematic Literature Review]]//. Oncology: International Journal of Cancer Research and Treatment. Pages 1-9. 2019.
 +  * Alevtina Dubovitskaya,​ Petr Novotny, Scott Thiebes, Ali Sunyaev, Michael Schumacher, Zhigang Xu and Fusheng Wang: //​[[https://​link.springer.com/​chapter/​10.1007/​978-3-030-33752-0_20|Intelligent Health Care Data Management Using Blockchain: Current Limitation and Future Research Agenda]]//. In Proceedings of the Fifth International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2019). August 30, 2019, Los Angles, CA, USA.
 +  * Xinyu Dong, Sina Rashidian, Yu Wang, Janos Hajagos, Mary Saltz, Joel Saltz and Fusheng Wang: Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records. To appear in AMIA Annual Symposium 2019, November 16-20, Washington DC, USA.
 +  * Elinor Schoenfeld, George Leibowitz, Yu Wang, Xin Chen, Wei Hou, Sina Rashidian, Mary M Saltz, Joel H Saltz, and Fusheng Wang: Geographic, temporal and sociodemographic differences in opioid poisoning. American Journal of Preventive Medicine. Accepted.
 +  * Furqan Baig and Fusheng Wang: Blockchain Enabled Distributed Data Management: a Vision. In Proceedings of the First International Workshop on Blockchain and Data Management (Co-located with ICDE 2019). Apr 8, 2019, Macau SAR, China.
 +  * Pengyue Zhang, Fusheng Wang, George Teodoro, Yanhui Liang, Mousumi Roy, Daniel Brat and Jun Kong: Effective nuclei segmentation with sparse shape prior and dynamic occlusion constraint for glioblastoma pathology images. Journal of Medical Imaging. 6(1), 017502 (2019).
 +  * Xiaoyuan Guo, Fusheng Wang, George Teodoro, Alton Farris and Jun Kong: Liver Steatosis Segmentation with Deep Learning Methods. In Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI) , pp. 24-27. Venice, Italy, April 8 - 11, 2019.
 +  * Sina Rashidian, Janos Hajagos, Richard A. Moffitt, Fusheng Wang, Xinyu Dong, Kayley Abell-Hart, Kimberly M. Noel, Rajarsi R. Gupta, Mathew A. Tharakan, Joel H. Saltz, Mary M. Saltz: Deep Learning on Electronic Health Records to Improve Disease Coding Accuracy. In Proceedings of AMIA 2019 Informatics Summit. March 25-28, 2019, San Francisco, California, USA.
 +  * Hoang Vo, Jun Kong, Dejun Teng, Yanhui Liang, Ablimit Aji, George Teodoro and Fusheng Wang: MaReIA: A Cloud MapReduce Based High Performance Whole Slide Image Analysis Framework. Distributed and Parallel Databases. Special Issue on Data Management and Analytics for Healthcare. Volume 37 Issue 2, June 2019. Pages 251-272.
 +  * Dejun Teng, Jun Kong and Fusheng Wang: Scalable and Flexible Management of Medical Image Big Data. Distributed and Parallel Databases. June 2019, Volume 37, Issue 2, pp 235–250.
 +  * Daniel Kim, Wei Hou, Fusheng Wang and Chrisa Arcan: Factors Affecting Obesity and Waist Circumference Among US Adults. Preventing Chronic Disease. Vol 16, 2019.
 +
 +==== 2018 ====
 +
 +  * Sina Rashidian, Janos Hajagos, Richard A. Moffitt, Fusheng Wang, Xinyu Dong, Kayley Abell-Hart, Kimberly M. Noel, Rajarsi R. Gupta, Mathew A. Tharakan, Joel H. Saltz, Mary M. Saltz: Disease phenotyping using deep learning: A diabetes case study. In Proceedings of NIPS 2018 Workshop on Machine Learning for Health (NIPS ML4H 2018). December 8, 2018, Montreal, Canada.
 +  * Chao Gao, Furqan Baig, Hoang Vo, Yangyang Zhu and Fusheng Wang: Accelerating Cross-Matching Operations of Geospatial Datasets using a CPU/GPU Hybrid Platform. In Proceedings of the 3rd International Workshop on Big Spatial Data (in conjunction with IEEE Big Data 2018). December 10-13, 2018, Seattle, Washington, USA. (Best paper award.)
 +  * Daniel Kim, Fusheng Wang and Chrisa Arcan: Geographic Association Between Income Inequality and Obesity Among Adults in New York State. Preventing Chronic Disease. Vol 15:180217, 2018.
 +  * Sina Rashidian, Xinyu Dong, Shubham Kumar Jain and Fusheng Wang: EaserGeocoder:​ Integrative Geocoding with Machine Learning. Demo Paper. In Proceedings of ACM SIGSPATIAL 2018, November 6 - 9, 2018. Seattle, Washington, USA.
 +  * Sheetal Mangesh Pandrekar, Xin Chen and Fusheng Wang: Social Media Based Analysis of Opioid Epidemic Using Reddit. In Proceedings of AMIA 2018 Annual Symposium. San Francisco, November 3-7, 2018.
 +  * Pengyue Zhang, Fusheng Wang, Wei Xu, and Yulee Li: Multi-channel Generative Adversarial Network for Parallel Magnetic Resonance Image Reconstruction in K-space. In Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018). September 16th to 20th, 2018, Granada, Spain.
 +  * Pengyue Zhang, Fusheng Wang, Yefeng Zheng: Deep Reinforcement Learning for Vessel Centerline Tracing in Multi-modality 3D Volumes. In Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018). September 16th to 20th, 2018, Granada, Spain.
 +  * Yanhui Liang, Hoang Vo, Jun Kong and Fusheng Wang: iSPEED: a Scalable and Distributed In-Memory Based Spatial Query System for Large and Structurally Complex 3D Data. Demo Paper. In Proceedings of the 44th International Conference on Very Large Data Bases (VLDB 2018), August 27-31, 2018, Rio de Janeiro, Brazil.
 +  * Raymund B. Dantes, Shuai Zheng, James J. Lu, Michele G. Beckman,​Asha Krishnaswamy,​Lisa C. Richardson, Sheri Chernetsky-Tejedor,​ and Fusheng Wang: Improved Identification of Venous Thromboembolism from Electronic Medical Records using a Novel Information Extraction Software Platform. Medical Care. Volume 56, Issue 9 - p e54–e60. September 2018.
 +  * Mousumi Roy, Fusheng Wang, George Teodoro, Vos Miriam, Alton Farris and Jun Kong: Segmentation of Overlapped Steatosis in Whole-Slide Liver Histopathology Microscopy Images. In Proceedings of 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, USA, July 17-21, 2018.
 +  * Mousumi Roy, Fusheng Wang, George Teodoro, José E. Velázquez Vega, Daniel Brat and Jun Kong: Analysis of Cellular Feature Differences of Astrocytomas with Distinct Mutational Profiles Using Digitized Histopathology Images. I Proceedings of 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, USA, July 17-21, 2018.
 +  * Yu Wang, Wei Hou and Fusheng Wang: Mining Co-occurrence and Sequence Patterns from Cancer Diagnoses in New York State. PLOS One. 13(4):​e0194407. 2018.
 +  * Xiaobo Sun, Jingjing Gao, Peng Jin, Fusheng Wang*, Zhaohui Qin*: Optimized Distributed Systems Achieve Significant Performance Improvement on Sorted Merging of Massive VCF Files. GigaScience. Volume 7, Issue 6, 1 June 2018. (* these authors contributed equally)
 +  * Shuai Zheng, Salma K. Jabbour, Shannon O’Reiley, James Lu, Lihua Dong, Lijuan Ding, Ying Xiao, Ning J. Yue, Fusheng Wang*, Wei Zou*: Automated Information Extraction on Treatment and Prognosis for Non-Small Cell Lung Cancer Radiotherapy Patients. Journal of Medical Internet Research - Medical Informatics. Vol 6, No 1 (2018). (* these authors contributed equally)
  
 ==== 2017 ==== ==== 2017 ====
  
 +  * Furqan Baig, Hoang Vo, Tahsin Kurc, Joel Saltz and Fusheng Wang: SparkGIS: Resource Aware Efficient In-Memory Spatial Query Processing. In Proceedings of SIGSPATIAL 2017. November 7 - 10, 2017, Redondo Beach, California, USA.
 +  * Sina Rashidian, Xinyu Dong, Amogh Avadhani, Prachi Poddar and Fusheng Wang: Effective Scalable and Integrative Geocoding for Massive Address Datasets in Public Health Studies. In Proceedings of SIGSPATIAL 2017. November 7 - 10, 2017, Redondo Beach, California, USA.
 +  * Yanhui Liang, Hoang Vo, Jun Kong and Fusheng Wang: iSPEED: an Efficient In-Memory Based Spatial Query System for Large-Scale 3D Data with Complex Structures. In Proceedings of SIGSPATIAL 2017. November 7 - 10, 2017, Redondo Beach, California, USA.
 +  * Xiaobo Sun, Fusheng Wang and Zhaohui Qin: High Performance Merging of Massive Data from Genome-Wide Association Studies. In Proceedings of the Third VLDB Workshop on Data Management and Analytics on Healthcare and Medicine (DMAH 2017), September 1, 2017, Munich, Germany.
 +  * Yu Wang and Fusheng Wang: Association Rule Learning and Frequent Sequence Mining of Cancer Diagnoses in New York State. In Proceedings of the Third VLDB Workshop on Data Management and Analytics on Healthcare and Medicine (DMAH 2017), September 1, 2017, Munich, Germany.
 +  * Alevtina Dubovitskaya,​ Zhigang Xu, Samuel Ryu, Michael Ignaz Schumacher and Fusheng Wang: How Blockchain could Empower eHealth: an Application for Radiation Oncology. In Proceedings of the Third VLDB Workshop on Data Management and Analytics on Healthcare and Medicine (DMAH 2017), September 1, 2017, Munich, Germany.
 +  * Xin Chen, Yu Wang, Xiaxia Yu and Fusheng Wang: Large Scale Analysis of Opioid Poisoning Related Hospital Visits in New York State. In AMIA Annual Symposium, November 4-8, 2017, Wasington DC, USA.
 +  * Alevtina Dubovitskaya,​ Zhigang Xu, Samuel Ryu, Michael Schumacher and Fusheng Wang: Secure and Trustable Electronic Medical Records Sharing using Blockchain. In AMIA Annual Symposium, November 4-8, 2017, Wasington DC, USA.
 +  * Sheetal Mangesh Pandrekar, Manish Valakonda, Xin Chen and Fusheng Wang: Towards Spatial Analysis of Opioid Abuse Using Twitter. Poster Paper. In AMIA Annual Symposium, November 4-8, 2017, Wasington DC, USA.
 +  * S. K. Prasad, D. Aghajarian, Mi. McDermott, D. Shah, M. Mokbel, S. Puri, S. J. Rey, S. Shekhar, Y. Xe, R. R. Vatsavai, F. Wang, Y. Liang, H. Vo and S. Wang: Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities:​ A Research Roadmap. In Proceedings of IEEE BigData Congress. June 25 - June 30, 2017, Honolulu, Hawaii, USA.
 +  * Shuai Zheng, James J Lu, Nima Ghasemzadeh,​ Arshed Ali Quyyumi and Fusheng Wang: An Effective Information Extraction Framework for Heterogeneous Clinical Reports Using Online Machine Learning and Controlled Vocabularies. Vol 5, No 2 (2017). Journal of Medical Internet Research (JMIR) - Medical Informatics.
 +  * Pengyue Zhang, Fusheng Wang, George Teodoro, Yanhui Liang, Daniel Brat and Jun Kong: Automated Level Set Segmentation of Histopathologic Cells with Sparse Shape Prior Support and Dynamic Occlusion Constraint. In Proc. of 2017 IEEE International Symposium on Biomedical Imaging, April 18 - 21, 2017, Melbourne, Australia.
   * X. Sun, W. Pittard, T. Xu, Tianlei, M. Zwick, X. Jiang, F. Wang, and Z. Qin: OmicSeq: A web-based search engine for exploring omics datasets. Nucleic Acids Research, In Press.   * X. Sun, W. Pittard, T. Xu, Tianlei, M. Zwick, X. Jiang, F. Wang, and Z. Qin: OmicSeq: A web-based search engine for exploring omics datasets. Nucleic Acids Research, In Press.
   * Shuai Zheng, James J Lu, Nima Ghasemzadeh,​ Arshed Ali Quyyumi and Fusheng Wang: An Effective Information Extraction Framework for Heterogeneous Clinical Reports Using Online Machine Learning and Controlled Vocabularies. JMIR Medical Informatics,​ In Press.   * Shuai Zheng, James J Lu, Nima Ghasemzadeh,​ Arshed Ali Quyyumi and Fusheng Wang: An Effective Information Extraction Framework for Heterogeneous Clinical Reports Using Online Machine Learning and Controlled Vocabularies. JMIR Medical Informatics,​ In Press.
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   * Blair Rossetti, Fusheng Wang, Pengyue Zhang, George Teodoro, Daniel Brat and Jun Kong: Dynamic Registration for Gigapixel Serial Whole Slide Images. To Appear in Proc. of 2017 IEEE International Symposium on Biomedical Imaging, April 18 - 21, 2017, Melbourne, Australia.   * Blair Rossetti, Fusheng Wang, Pengyue Zhang, George Teodoro, Daniel Brat and Jun Kong: Dynamic Registration for Gigapixel Serial Whole Slide Images. To Appear in Proc. of 2017 IEEE International Symposium on Biomedical Imaging, April 18 - 21, 2017, Melbourne, Australia.
   * Xin Chen, Yu Wang, Elinor Schoenfeld, Mary Saltz, Joel Saltz and Fusheng Wang: Spatio-temporal Analysis for New York State SPARCS Data. To Appear in Proc. of 2017 AMIA Joint Summits on Translational Science, March 27 - 30, 2017, San Francisco,​CA,​ USA.   * Xin Chen, Yu Wang, Elinor Schoenfeld, Mary Saltz, Joel Saltz and Fusheng Wang: Spatio-temporal Analysis for New York State SPARCS Data. To Appear in Proc. of 2017 AMIA Joint Summits on Translational Science, March 27 - 30, 2017, San Francisco,​CA,​ USA.
-  * Yanhui Liang, Fusheng Wang, Pengyue Zhang, Daniel J. Brat, Joel Saltz, Jun Kong: Development of a Framework for Large Scale Three-Dimensional Pathology and Biomarker Imaging and Spatial Analytics. To Appear in Proc. of 2017 AMIA Joint Summits on Translational Science, March 27 - 30, 2017, San Francisco,​CA,​ USA.+  * Yanhui Liang, Fusheng Wang, Pengyue Zhang, Daniel J. Brat, Joel Saltz, Jun Kong: Development of a Framework for Large Scale Three-Dimensional Pathology and Biomarker Imaging and Spatial Analytics. To Appear in Proc. of 2017 AMIA Joint Summits on Translational Science, March 27 - 30, 2017, San Francisco, CA, USA.
   * Naiyun Zhou, Xiaxia Yu, Tianhao Zhao, Si Wen, Fusheng Wang, Wei Zhu, Tahsin Kurc, Allen Tannenbaum, Joel Saltz and Yi Gao: Evaluation of nucleus segmentation in digital pathology images through large scale image synthesis. In Proc. of 2017 SPIE Medical Imaging, February 11, 2017, Orlando, Florida, United States.   * Naiyun Zhou, Xiaxia Yu, Tianhao Zhao, Si Wen, Fusheng Wang, Wei Zhu, Tahsin Kurc, Allen Tannenbaum, Joel Saltz and Yi Gao: Evaluation of nucleus segmentation in digital pathology images through large scale image synthesis. In Proc. of 2017 SPIE Medical Imaging, February 11, 2017, Orlando, Florida, United States.