Projects and Grants per year
Personal profile
Education/Academic qualification
Residency, University Of Kentucky
2015
Doctor of Medicine, University Of Kentucky
2010
Master of Science, University Of Arkansas
2000
Master of Science, Zhejiang University
1998
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Dive into the research topics where Xiaoqin Wang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Non-Destructive Optical Spectroscopic Assay for High-Throughput Metabolic Characterization of in Vitro Cell Models and Patient-Derived Organoids
Zhu, C. (PI), Fan, W.-M. (CoI), Wang, X. (CoI), Wang, C. (CoI) & Wang, P. (Former CoI)
National Institute of Biomedical Imaging & Bioengineer
8/1/22 → 4/30/26
Project: Research project
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2024 Project Funding and Sponsorship by Bunkerhill
Wang, X. (PI)
Bunkerhill Health Incorporated
3/1/24 → 2/28/25
Project: Research project
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CCSG Pilot: Point-of-care phase-gradient microscope for non-destructive metabolic imaging on live tumor slices
Zhu, C. (PI), Fan, W.-M. (CoI) & Wang, X. (CoI)
7/1/22 → 6/30/23
Project: Research project
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SUPPLEMENT: Diversity in Cancer Research Supplement: University of Kentucky
O'Connor, K. (PI), Awuah, S. (CoI), Bocklage, T. (CoI), Cavnar, M. (CoI), Chambers, M. (CoI), Gao, T. (CoI), Gentry, M. (CoI), Goellner, E. (CoI), Kuhs, K. (CoI), Miller, R. (CoI), Wang, X. (CoI) & Williams, L. (CoI)
1/1/22 → 12/31/22
Project: Research project
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Diversity in Cancer Research (DICR) Markey STRONG Scholars Program
O'Connor, K. (PI), Awuah, S. (CoI), Bocklage, T. (CoI), Cavnar, M. (CoI), Chambers, M. (CoI), Gao, T. (CoI), Goellner, E. (CoI), Kuhs, K. (CoI), Miller, R. (CoI), Vanderford, N. (CoI), Wang, X. (CoI), Williams, L. (CoI) & Fondufe-Mittendorf, Y. (Former CoI)
5/5/21 → 5/4/22
Project: Research project
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Improved Trainable Calibration Method for Neural Networks.
Liang, G., Zhang, Y., Wang, X. & Jacobs, N., 2020, BMVC.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification
Liang, G., Zhang, Y., Wang, X. & Jacobs, N., Sep 9 2020.Research output: Working paper › Preprint
File79 Downloads (Pure) -
Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization.
Zhang, Y., Liang, G., Jacobs, N. & Wang, X., 2020, In: CoRR. abs/2003.01111Research output: Contribution to journal › Article › peer-review
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Weakly-Supervised Feature Learning via Text and Image Matching.
Liang, G., Greenwell, C., Zhang, Y., Wang, X., Kavuluru, R. & Jacobs, N., 2020, In: CoRR. abs/2010.03060Research output: Contribution to journal › Article › peer-review