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Minimally Invasive Therapy & Allied Technologies : MITAT : Official Journal of the Society for Minimally Invasive Therapy
|
January 14, 2024
A novel discrete linkage-type electrode for radiofrequency-induced intestinal anastomosis
Zhongxin Hu, Lin Mao, Xuyan Liu, et al.
Journal of Biomedical Informatics
|
May 23, 2024
Causal fairness assessment of treatment allocation with electronic health records
Linying Zhang, Lauren R Richter, Yixin Wang, et al.
Medrxiv : the Preprint Server for Health Sciences
|
May 7, 2026
One Size Fits All? Comparing Foundation and Task-specific Models for Retinal Fluid Segmentation
Xiaoyu Sun, Saiyu You, Siqi Sun, et al.
Journal of the American Medical Informatics Association : JAMIA
|
January 31, 2021
Predicting pressure injury using nursing assessment phenotypes and machine learning methods
Wenyu Song, Min-Jeoung Kang, Linying Zhang, et al.
Statistics in Medicine
|
August 7, 2025
Assessing Covariate Balance With Small Sample Sizes
George Hripcsak, Linying Zhang, Yong Chen, et al.
Medrxiv : the Preprint Server for Health Sciences
|
May 7, 2024
Assessing Covariate Balance with Small Sample Sizes
George Hripcsak, Linying Zhang, Yong Chen, et al.
Applied Optics
|
July 15, 2021
<i>In situ</i> diagnosis of mature HLB-asymptomatic citrus fruits by laser-induced breakdown spectroscopy
Mingyin Yao, Gangrong Fu, Jiang Xu, et al.
Frontiers in Physiology
|
December 15, 2022
Data assimilation on mechanistic models of glucose metabolism predicts glycemic states in adolescents following bariatric surgery
Lauren R Richter, Benjamin I Albert, Linying Zhang, et al.
Cancer Research
|
October 1, 2020
Transient Activation of the Hedgehog-Gli Pathway Rescues Radiotherapy-Induced Dry Mouth via Recovering Salivary Gland Resident Macrophages
Qingguo Zhao, Linying Zhang, Bo Hai, et al.
Journal of the American Medical Informatics Association : JAMIA
|
May 20, 2022
Predicting hospitalization of COVID-19 positive patients using clinician-guided machine learning methods
Wenyu Song, Linying Zhang, Luwei Liu, et al.
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of 4
Search research articles
Search
Showing results (11-20 of 32) with videos related to
Sort By:
Page
of 4
Minimally Invasive Therapy & Allied Technologies : MITAT : Official Journal of the Society for Minimally Invasive Therapy
|
January 14, 2024
A novel discrete linkage-type electrode for radiofrequency-induced intestinal anastomosis
Zhongxin Hu, Lin Mao, Xuyan Liu, et al.
Journal of Biomedical Informatics
|
May 23, 2024
Causal fairness assessment of treatment allocation with electronic health records
Linying Zhang, Lauren R Richter, Yixin Wang, et al.
Medrxiv : the Preprint Server for Health Sciences
|
May 7, 2026
One Size Fits All? Comparing Foundation and Task-specific Models for Retinal Fluid Segmentation
Xiaoyu Sun, Saiyu You, Siqi Sun, et al.
Journal of the American Medical Informatics Association : JAMIA
|
January 31, 2021
Predicting pressure injury using nursing assessment phenotypes and machine learning methods
Wenyu Song, Min-Jeoung Kang, Linying Zhang, et al.
Statistics in Medicine
|
August 7, 2025
Assessing Covariate Balance With Small Sample Sizes
George Hripcsak, Linying Zhang, Yong Chen, et al.
Medrxiv : the Preprint Server for Health Sciences
|
May 7, 2024
Assessing Covariate Balance with Small Sample Sizes
George Hripcsak, Linying Zhang, Yong Chen, et al.
Applied Optics
|
July 15, 2021
<i>In situ</i> diagnosis of mature HLB-asymptomatic citrus fruits by laser-induced breakdown spectroscopy
Mingyin Yao, Gangrong Fu, Jiang Xu, et al.
Frontiers in Physiology
|
December 15, 2022
Data assimilation on mechanistic models of glucose metabolism predicts glycemic states in adolescents following bariatric surgery
Lauren R Richter, Benjamin I Albert, Linying Zhang, et al.
Cancer Research
|
October 1, 2020
Transient Activation of the Hedgehog-Gli Pathway Rescues Radiotherapy-Induced Dry Mouth via Recovering Salivary Gland Resident Macrophages
Qingguo Zhao, Linying Zhang, Bo Hai, et al.
Journal of the American Medical Informatics Association : JAMIA
|
May 20, 2022
Predicting hospitalization of COVID-19 positive patients using clinician-guided machine learning methods
Wenyu Song, Linying Zhang, Luwei Liu, et al.
Page
of 4