Publications

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.
  • 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.
  • 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. To Appear in Proc. of 2017 IEEE International Symposium on Biomedical Imaging, April 18 - 21, 2017, Melbourne, Australia.
  • Pengyue Zhang, Fusheng Wang and Yefeng Zheng: Self supervised deep representation learning for fine-grained body part recognition. 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.
  • 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.

2016

  • Xin Chen and Fusheng Wang: Integrative Spatial Data Analytics for Public Health Studies of New York State. To Appear in Proceedings of AMIA 2016 Annual Symposium. Chicago, IL, Nov 12-16, 2016.
  • Yanhui Liang, Hoang Vo, Ablimit Aji, Jun Kong and Fusheng Wang: Scalable 3D Spatial Queries for Analytical Pathology Imaging with MapReduce. Poster Paper. In Proc. of the 24nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016), October 31 to November 3, 2016, San Francisco Bay Area, California, USA.
  • Xin Chen, Hoang Vo, and Fusheng Wang: Annotating Geographical Objects in OpenStreetMap with Geo-tagged Social Media. In Proc. of the 9th ACM SIGSPATIAL International Workshop on Location-Based Social Networks (LBSN 2016), October 31, 2016, San Francisco Bay Area, California, USA.
  • Hoang Vo, Jun Kong, Dejun Teng, Yanhui Liang, Ablimit Aji, George Teodoro and Fusheng Wang: A MapReduce Based High Performance Whole Slide Image Analysis Framework in the Cloud. In Proceedings of the Second International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2016). New Delhi, September 9, 2016.
  • Cong Xie, Wen Zhong, Jun Kong, Wei Xu, Klaus Mueller and Fusheng Wang: IEVQ: An Iterative Example-based Visual Query for Pathology Database. In Proceedings of the Second International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2016). New Delhi, September 9, 2016.
  • Jun Kong, Pengyue Zhang, Yanhui Liang, George Teodorou, Daniel J. Brat and Fusheng Wang: Robust Cell Segmentation for Histological Images of Glioblastoma. Oral Presentation. In Proceedings of International Symposium on Biomedical Imaging (ISBI 2016), April 13-16, 2016, Prague, Czech.
  • Chunjie Zhoua, Pengfei Dai, Fusheng Wang and Zhenxing Zhang: Predicting the Passenger Demand on Bus Services for Mobile Users. Pervasive and Mobile Computing. Vol. 25, January 2016, Pages 48–66.
  • Jun Kong,Pengyue Zhang, Yanhui Liang, George Teodorou, Daniel J. Brat and Fusheng Wang: Robust Cell Segmentation for Histological Images of Glioblastoma. Oral Presentation. To Appear in Proceedings of International Symposium on Biomedical Imaging (ISBI 2016), April 13-16, Prague, Czech Republic.
  • Chunjie Zhoua, Pengfei Dai, Fusheng Wang, Zhenxing Zhanga: Predicting the Passenger Demand on Bus Services for Mobile Users. Pervasive and Mobile Computing. Vol. 25, January 2016, Pages 48–66.

2015

  • David J Foran, Tahsin Kurc, Xin Qi, Daihou Wang, Fusheng Wang, George Teodoro, Lee Cooper, Michael Nalisnik, Lin Yang and Joel Saltz: Scalable analysis of Big pathology image data cohorts using efficient methods and high-performance computing strategies. BMC Bioinformatics, Vol 16(1), 2015.
  • Shuai Zheng, Raymund Dantes, Sheri C. Tejedor, James J. Lu, Michele Beckman, Asha Krishnaswamy, Lisa Richardson and Fusheng Wang: Improved Identification of Venous Thromboembolism from Electronic Medical Records using Information Extraction. In Proceedings of AMIA 2015 Annual Symposium. San Francisco, CA, Nov 14-18, 2015.
  • Furqan Baig, Mudit Mehrotra, Hoang Vo, Fusheng Wang, Joel Saltz, Tahsin Kurc: SparkGIS: Efficient Comparison and Evaluation of Algorithm Results in Tissue Image Analysis Studies. In Proceedings of the First International Workshop on Data Management and Analytics for Medicine and Healthcare. Waikoloa, Hawaii, September 4, 2015.
  • Yanhui Liang, Jun Kong, Yangyang Zhu and Fusheng Wang: Three-Dimensional Data Analytics for Pathology Imaging. In Proceedings of the First International Workshop on Data Management and Analytics for Medicine and Healthcare. Waikoloa, Hawaii, September 4, 2015.
  • Yanhui Liang, Jun Kong, Yangyang Zhu and Fusheng Wang: Three-Dimensional Data Analytics for Pathology Imaging. In Proceedings of the First International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2015). Waikoloa, Hawaii, September 4, 2015.
  • Shuai Zheng, James Lu, Christina Appin, Daniel Brat, Fusheng Wang: Support Patient Search for Pathology Reports with Interactive Online Learning Based Data Extraction. Journal of Pathology Informatics, Vol 6(1), January 2015.
  • Yanhui Liang, Fusheng Wang, Darren Treanor, Derek Magee, George Teodoro, Yangyang Zhu and Jun Kong: Whole-Slide Histological Image Analysis for 3D Primary Vessel Reconstruction. In Proc. of the 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2015). Munich, Germany, October 5-9, 2015.
  • Xin Chen, Yu Wang, Eugene Agichtein and Fusheng Wang: A comparative study of demographic inference in Twitter. In Proc. of the 9th International AAAI Conference on Web and Social Media (ICWSM 2015). Oxford, UK, May 26-29, 2015.
  • Hoang Vo and Fusheng Wang: Effective Temporal Modeling for Scalable Spatio-Temporal Queries. In Proc. of the International Symposium on Spatiotemporal Computing (IWSC'2015). Fairfax, Virginia, July 13-15, 2015.
  • Yanhui Liang, Fusheng Wang, Darren Treanor, Derek Magee, George Teodoro, Yangyang Zhu and Jun Kong: Liver Whole Slide Image Analysis for 3D Vessel Reconstruction. In Proc. of the 12th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2015). Brooklyn, New York, USA, April 16-19, 2015.
  • Jun Kong, Fusheng Wang, George Teodoro, Yanhui Liang, Yangyang Zhu, Carol Tucker-Burden, Daniel Brat: Automated Cell Segmentation with 3D Fluorescence Microscopy Images. In Proc. of the 12th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2015). Brooklyn, New York, USA, April 16-19, 2015.
  • Chunjie Zhou, Pengfei Dai and Fusheng Wang: Mining Spatial and Temporal Movement Patterns of Passengers on Bus Networks. In Proc. of the Seventh International Conference on Advanced Geographic Information Systems, Applications, and Services (GEOProcessing 2015). February 22 - 27, 2015 - Lisbon, Portugal.

2014

  • Yanhui Liang, Fusheng Wang, Darren Treanor, Derek Magee, George Teodoro, Yangyang Zhu, Jun Kong: A Framework for 3D Vessel Analysis with Whole Slide Images of Serial Liver Sections. In Proc. of International Conference on Intelligent Biology and Medicine (ICIBM 2014), December 4-6, 2014, San Antonio, TX, USA.
  • Xin Chen, Hoang Vo, Ablimit Aji and Fusheng Wang: High Performance Integrated Spatial Big Data Analytics. In Proc. of the Third ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (BigSpatial-2014), Nov 4, 2014, Dallas, TX, USA.
  • Ablimit Aji, George Teodoro and Fusheng Wang: Haggis: Turbo Charge A MapReduce based Spatial Data Warehousing System with GPU Engine. In Proc. of the Third ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (BigSpatial-2014), Nov 4, 2014, Dallas, TX, USA.
  • Hoang Vo, Ablimit Aji, George Teodoro and Fusheng Wang: SATO: A Spatial Data Partitioning Framework for Scalable Query Processing. In Proc. of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2014), Dallas, Texas in November 4-7, 2014, Dallas, TX, USA.
  • Shuai Zheng, Fusheng Wang and James Lu: Enabling Ontology Based Semantic Queries in Biomedical Database Systems.International Journal of Semantic Computing (IJSC). Vol 8(1), 2014.
  • Fusheng Wang, Cristobal Vergara-Niedermayr, Peiya Liu: Metadata Based Management and Sharing of Distributed Biomedical Data.International Journal of Metadata, Semantics and Ontologies (IJMSO), Special Issue on “Metadata for e-Science and e-Research”. Vol 9 (1), 2014.

2013

2012

2011

2009 and before