Hyperpolarized Magnetic Resonance Imaging, Nuclear Magnetic Resonance Metabolomics, and Artificial Intelligence to Interrogate the Metabolic Evolution of Glioblastoma
Hsieh, Kang Lin, Chen, Qing, Salzillo, Travis C, Zhang, Jian, Jiang, Xiaoqian, Bhattacharya, Pratip K, Shams, Shyan
Published in Metabolites (01.08.2024)
Published in Metabolites (01.08.2024)
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Journal Article
Hyperpolarized Magnetic Resonance and Artificial Intelligence: Frontiers of Imaging in Pancreatic Cancer
Enriquez, José S, Chu, Yan, Pudakalakatti, Shivanand, Hsieh, Kang Lin, Salmon, Duncan, Dutta, Prasanta, Millward, Niki Zacharias, Lurie, Eugene, Millward, Steven, McAllister, Florencia, Maitra, Anirban, Sen, Subrata, Killary, Ann, Zhang, Jian, Jiang, Xiaoqian, Bhattacharya, Pratip K, Shams, Shayan
Published in JMIR medical informatics (17.06.2021)
Published in JMIR medical informatics (17.06.2021)
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Journal Article
Abstract 1026: The costs of waiting to get treated for new AML patients: Medical expenditures, mortality rate, and length of hospital stay
Hsieh, Kang Lin, Ko, Bor-Sheng, Jiang, Xiaoqian, Chang, Teng-Jen, Wang, Yu-Fen
Published in Cancer research (Chicago, Ill.) (15.06.2022)
Published in Cancer research (Chicago, Ill.) (15.06.2022)
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Journal Article
Abstract LB067: A confident and operator-independent deep segmentation model to measure residual tumor volume in the follow-up MRIs for glioblastoma
Hsieh, Kang Lin, Kabir, Tanjida, Nunez-Rubiano, Luis, Hsu, Yu-Chun, Cai, Yu, Quintero, Juan Rodriguez, Arevalo, Octavio, Zhao, Kangyi, Zhang, Jackie, Zhu, Jiguang Zhu, Riascos, Roy, Jiang, Xioaqian, Shams, Shayan
Published in Cancer research (Chicago, Ill.) (14.04.2023)
Published in Cancer research (Chicago, Ill.) (14.04.2023)
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Journal Article
The Challenges of Using Temporal Representation in Real-World EHR Data
Hsieh, Kang Lin
Published in 2018 IEEE International Conference on Healthcare Informatics (ICHI) (01.06.2018)
Published in 2018 IEEE International Conference on Healthcare Informatics (ICHI) (01.06.2018)
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Conference Proceeding
scEMB: Learning context representation of genes based on large-scale single-cell transcriptomics
Hsieh, Kang-Lin, Chu, Yan, Li, Xiaoyang, Pilié, Patrick G, Dai, Yulin
Published in bioRxiv (26.09.2024)
Published in bioRxiv (26.09.2024)
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Journal Article