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Jia Li 0027

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affiliation: Vanderbilt University Medical Center, Nashville, TN, USA

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Jia Li — disambiguation page
Jia Li 0001 — Pennsylvania State University, Department of Statistics, University Park, PA, USA (and 1 more)
Jia Li 0002 — Beijing Normal University, School of Artificial Intelligence, Beijing, China (and 2 more)
Jia Li 0003 — Beihang University, School of Computer Science and Engineering, State Key Laboratory of Virtual Reality Technology and Systems, Beijing, China (and 1 more)
Jia Li 0004 — Inner Mongolia Agricultural University, College of Mechanical and Electrical Engineering, Hohhot, China
Jia Li 0005 — Yunnan Normal University, College of Tourism and Geographical Science, Kunming, China
Jia Li 0006 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
Jia Li 0007 — University of Paris-Saclay, France
Jia Li 0008 — Sun Yat-sen University, China
Jia Li 0009 — Hong Kong University of Science and Technology, Guangzhou, China (and 2 more)

Jia Li 0010 — Oakland University, Department of Electrical and Computer Engineering, Rochester, MI, USA (and 1 more)
Jia Li 0011 (aka: Jia Allen Li) — Peking University, School of Computer Science, Key Laboratory of High Confdence Software Technologies, Beijing, China
Jia Li 0012 — Peking University, Key Lab of High Confidence Software Technology, Beijing, China (and 1 more)
Jia Li 0013 — Hefei University of Technology, School of Computer and Information Engineering, Hefei, China (and 1 more)
Jia Li 0014 — Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong
Jia Li 0015 — Salesforce Research, Palo Alto, CA, USA
Jia Li 0016 — Hohai University, College of Energy and Electrical Engineering, Nanjing, China
Jia Li 0017 — Hohai University, School of Earth Sciences and Engineering, Nanjing, China
Jia Li 0018 — Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, China
Jia Li 0019 — Henan Institute of Science and Technology, School of Information Engineering, Xinxiang, China
Jia Li 0020 — Capital Medical University, Beijing Friendship Hospital, Department of Radiology, Beijing, China
Jia Li 0021 — KU Leuven, Faculty of Psychology and Educational Sciences, Leuven, Belgium
Jia Li 0022 — Chinese Academy of Sciences, Institute of Microelectronics, Smart Sensing Research and Development Center, Beijing, China (and 2 more)
Jia Li 0023 — Beijing Electrical Science and Technology Institute, Beijing, China (and 1 more)
Jia Li 0024 — East China University of Science and Technology, School of Business, Shanghai, China
Jia Li 0025 — Tsinghua University, Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, State Key Laboratory of Intelligent Technology and Systems, Beijing, China
Jia Li 0026 — National Engineering Research Center of Speech and Language Information Processing, Hefei, China (and 1 more)
Jia Li 0028 — Tianjin University, School of Electrical and Information Engineering, Tianjin, China
Jia Li 0029 — Chongqing Technology and Business Institute, China (and 1 more)
Jia Li 0030 — University of Ottawa, Canada
Jia Li 0031 — PLA Navy Submarine Academy, Qingdao, China
Jia Li 0032 — First Affiliated Hospital of Zhengzhou University, National Engineering Laboratory for Internet Medical Systems and Applications, Zhengzhou, China (and 1 more)
Jia Li 0033 — National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China (and 1 more)
Jia Li 0034 — Wuhan University, State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan, China
Jia Li 0035 — Shanxi Vocational University of Engineering Science and Technology, Conservatory of Music and Dance, Jinzhong, China (and 1 more)
Jia Li 0036 — Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China
Jia Li 0037 — Chongqing University, College of Electrical Engineering, State Key Laboratory of Power Transmission Equipment & System Security, Chongqing, China
Jia Li 0038 — Donghua University, School of Business and Management, Shanghai, China
Jia Li 0039 — Cancer Science Institute of Singapore, Centre for Translational Medicine, Singapore
Jia Li 0040 — Chinese Academy of Sciences, Shanghai Institute of Materia Medica, State Key Laboratory of Drug Research, National Center for Drug Screening, Shanghai, China (and 1 more)
Jia Li 0041 — Shanghai Jiao Tong University School of Medicine, Shanghai Mental Health Center, Laboratory of Psychological Health and Imaging, Shanghai, China
Jia Li 0042 — South China Agricultural University, College of Mathematics and Informatics, Guangzhou, China
Jia Li 0043 — Shanghai University, School of Mechatronic Engineering and Automation, Shanghai Key Laboratory of Power Station Automation Technology, Shanghai, China (and 1 more)
Jia Li 0044 — Lenovo Research, Beijing, China (and 3 more)
Jia Li 0045 — Northeastern University, School of Mechanical Engineering and Automation, Shenyang, China
Jia Li 0046 — Wuyi University, Department of Intelligent Manufacturing, Jiangmen, China
Jia Li 0047 — Harbin University of Science and Technology, School of Electrical and Electronic Engineering, Harbin, China
Jia Li 0048 — Purdue University, Department of Mathematics, West Lafayette, IN, USA
Jia Li 0049 — Guangzhou University, Center for Applied Mathematics, Guangzhou, China (and 1 more)
Jia Li 0050 — Xi'an Jiaotong University, Department of Software Engineering, Xi'an, China
Jia Li 0051 — Xidian University, School of Physics and Optoelectronic Engineering, Xi'an, China (and 1 more)
Jia Li 0052 — Harvard Medical School, Department of Neurology, Boston, MA, USA
Jia Li 0053 — University of Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
Li-Jia Li 0001 (aka: Jia Li 0054) — Stanford University, School of Medicine, Stanford, CA, USA (and 4 more)
Vena Jia Li (aka: Jia Li 0055) — Meta, Menlo Park, CA, USA (and 2 more)

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2020 – today

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2024
[j2]
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  - journals/mia/DengCRBWCLRLLWWCLH24
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Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Cross-scale multi-instance learning for pathological image diagnosis. Medical Image Anal. 94: 103124 (2024)
[c4]
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Shunxing Bao, Junlin Guo, Ho Hin Lee, Ruining Deng, Can Cui, Lucas W. Remedios, Quan Liu, Qi Yang, Kaiwen Xu, Xin Yu, Jia Li, Yike Li, Joseph T. Roland, Qi Liu, Ken S. Lau, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network. ISBI 2024: 1-5
[i5]
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  - journals/corr/abs-2401-05602
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Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Z. Li, Ruining Deng, Can Cui, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman:
Nucleus subtype classification using inter-modality learning. CoRR abs/2401.05602 (2024)
[i4]
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  - journals/corr/abs-2407-06116
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Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Z. Li, Ruining Deng, Nancy R. Newlin, Adam M. Saunders, Can Cui, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman:
Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology. CoRR abs/2407.06116 (2024)
2023
[c3]
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  - conf/midl/BaoLYRD0CX0CLPW23
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Shunxing Bao, Ho Hin Lee, Qi Yang, Lucas Walker Remedios, Ruining Deng, Can Cui, Leon Yichen Cai, Kaiwen Xu, Xin Yu, Sophie Chiron, Yike Li, Nathan Heath Patterson, Yaohong Wang, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo:
Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis. MIDL 2023: 1406-1422
[i3]
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  - journals/corr/abs-2304-00216
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Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Cross-scale Multi-instance Learning for Pathological Image Diagnosis. CoRR abs/2304.00216 (2023)
[i2]
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  - journals/corr/abs-2308-10166
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Shunxing Bao, Sichen Zhu, Vasantha L. Kolachala, Lucas W. Remedios, Yeonjoo Hwang, Yutong Sun, Ruining Deng, Can Cui, Yike Li, Jia Li, Joseph T. Roland, Qi Liu, Ken S. Lau, Subra Kugathasan, Peng Qiu, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures. CoRR abs/2308.10166 (2023)
2022
[j1]
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  - journals/bioinformatics/LiuHLS22
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Qi Liu, Chih-Yuan Hsu, Jia Li, Yu Shyr:
Dysregulated ligand-receptor interactions from single-cell transcriptomics. Bioinform. 38(12): 3216-3221 (2022)
[c2]
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  - conf/miccai/DengCRBWCLRLLWW22
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Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. MMMI@MICCAI 2022: 24-33
[c1]
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  - conf/miccai/BaoLCTDRLCPLCWR22
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Shunxing Bao, Jia Li, Can Cui, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Ho Hin Lee, Sophie Chiron, Nathan Heath Patterson, Ken S. Lau, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Qi Liu, Yuankai Huo:
MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging. MOVI@MICCAI 2022: 42-52
[i1]
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  - journals/corr/abs-2208-07322
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Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. CoRR abs/2208.07322 (2022)

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