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   * [[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]]
  
-==== 2017 ====+==== 2019 ==== 
 +  * 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 ====
 +  * 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.