Fuyong Xing is an Associate Professor in the Department of Biostatistics and Informatics at Colorado School of Public Health, University of Colorado Denver | Anschutz Medical Campus. His research focuses on artificial intelligence (AI) for healthcare, particularly for medical image computing and imaging informatics.
Areas of Expertise
- Machine/deep learning: development of predictive models for diagnosis, prognosis and treatment planning
- Medical image computing (PET, CT, MRI, ultrasound, X-ray, microscopy, and digital pathology): image marker extraction, object detection, image segmentation, classification, registration, retrieval and synthesis
Education, Licensure & Certifications
- PhD, Electrical and Computer Engineering, University of Florida, 2017
Awards
- The 2nd Place Prize in the 2019 IEEE Engineering in Medicine and Biology Prize Paper Award, IEEE Engineering in Medicine and Biology, 2019
- Runners Up for Young Scientist Awards (co-author), International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2015
Courses
- BIOS 6642 - Introduction to Python Programming
- BIOS 7718 - Introduction to Biomedical Image Analysis
- BIOS 6623 - Advanced Data Analysis
Research
- National Institutes of Health (R21CA274487), Geles: A Novel Imaging Informatics System for Generalizable Lesion Identification in Neuroendocrine Tumors. September 2023 - August 2025. Role: PI
- National Institutes of Health (R21CA237493), Development and Dissemination of KiNet: A Novel Imaging Informatics Tool for Gastrointestinal and Pancreatic Neuroendocrine Tumors. April 2019 - March 2021. Role: PI;
University of Colorado Caner Center, Supplemental Funding for the NIH Grant: Geles: A Novel Imaging Informatics System for Generalizable Lesion Identification in Neuroendocrine Tumors. October 2023 - September 2024. Role: PI - Colorado Clinical and Translational Sciences Institute (TM-B-20-060), SiNorm: A Novel Statistical Methodology for Normalizing Signal Intensities in Preclinical MRI. May 2020 - April 2021. Role: Co-PI
Publications and Presentations
- Fuyong Xing, Xinyi Yang, Toby C. Cornish, Debashis Ghosh. "Learning to Detect Cells with Low-Resource Adversarial Domain Adaptation". Medical Image Analysis; 2023.
- Fuyong Xing, Michael Silosky, Debashis Ghosh, Bennett B. Chin. "Location-Aware Encoding for Lesion Detection in 68Ga-DOTATATE Positron Emission Tomography Images". IEEE Transactions on Biomedical Engineering, 2023.
- Xinyi Yang, Bennett Chin, Michael Silosky, Daniel Litwiller, Debashis Ghosh, Fuyong Xing. "Learning with Synthesized Data for Generalizable Lesion Detection in Real PET Images". The 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.
- Fuyong Xing, Toby C. Cornish. "Low-Resource Adversarial Domain Adaptation for Cross-Modality Nucleus Detection". The 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), vol. 13437, pp. 639-649, 2022.
- Fuyong Xing, Toby C. Cornish, Tellen D. Bennett, Debashis Ghosh. "Bidirectional Mapping-Based Domain Adaptation for Nucleus Detection in Cross-Modality Microscopy Images". IEEE Transactions on Medical Imaging, vol. 40, no 12, pp. 2880-2896, 2021.
