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IEEE Transactions on Medical Imaging
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March 3, 2025
Swin-UMamba†: Adapting Mamba-based vision foundation models for medical image segmentation
Jiarun Liu, Hao Yang, Hong-Yu Zhou, et al.
Radiology
|
April 9, 2024
Predicting Invasiveness of Lung Adenocarcinoma at Chest CT with Deep Learning Ternary Classification Models
Zhengsong Pan, Ge Hu, Zhenchen Zhu, et al.
Journal of Biomedical Informatics
|
April 8, 2021
Identification of pediatric respiratory diseases using a fine-grained diagnosis system
Gang Yu, Zhongzhi Yu, Yemin Shi, et al.
Frontiers in Pediatrics
|
February 4, 2022
Standard Echocardiographic View Recognition in Diagnosis of Congenital Heart Defects in Children Using Deep Learning Based on Knowledge Distillation
Lanping Wu, Bin Dong, Xiaoqing Liu, et al.
Life Sciences
|
December 16, 2023
Integrated non-targeted metabolomics and network pharmacology to reveal the mechanisms of berberine in the long-term treatment of PTZ-induced epilepsy
Hailin Zhu, Ziyu Wu, Yizhou Yu, et al.
Frontiers in Medicine
|
July 14, 2023
A deep learning model for prediction of post hepatectomy liver failure after hemihepatectomy using preoperative contrast-enhanced computed tomography: a retrospective study
Xiaoqing Xu, Zijian Xing, Zhiyao Xu, et al.
Theranostics
|
May 7, 2020
Multicenter cohort study demonstrates more consolidation in upper lungs on initial CT increases the risk of adverse clinical outcome in COVID-19 patients
Qian Yu, Yuancheng Wang, Shan Huang, et al.
Frontiers in Oncology
|
November 1, 2021
Radiomics Based on Contrast-Enhanced MRI in Differentiation Between Fat-Poor Angiomyolipoma and Hepatocellular Carcinoma in Noncirrhotic Liver: A Multicenter Analysis
Xiangtian Zhao, Yukun Zhou, Yuan Zhang, et al.
Frontiers in Immunology
|
April 25, 2022
Non-Invasive Measurement Using Deep Learning Algorithm Based on Multi-Source Features Fusion to Predict PD-L1 Expression and Survival in NSCLC
Chengdi Wang, Jiechao Ma, Jun Shao, et al.
JMIR Formative Research
|
March 22, 2022
Optimizing Existing Mental Health Screening Methods in a Dementia Screening and Risk Factor App: Observational Machine Learning Study
Narayan Kuleindiren, Raphael Paul Rifkin-Zybutz, Monika Johal, et al.
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Showing results (81-90 of 140) with videos related to
Sort By:
Page
of 14
IEEE Transactions on Medical Imaging
|
March 3, 2025
Swin-UMamba†: Adapting Mamba-based vision foundation models for medical image segmentation
Jiarun Liu, Hao Yang, Hong-Yu Zhou, et al.
Radiology
|
April 9, 2024
Predicting Invasiveness of Lung Adenocarcinoma at Chest CT with Deep Learning Ternary Classification Models
Zhengsong Pan, Ge Hu, Zhenchen Zhu, et al.
Journal of Biomedical Informatics
|
April 8, 2021
Identification of pediatric respiratory diseases using a fine-grained diagnosis system
Gang Yu, Zhongzhi Yu, Yemin Shi, et al.
Frontiers in Pediatrics
|
February 4, 2022
Standard Echocardiographic View Recognition in Diagnosis of Congenital Heart Defects in Children Using Deep Learning Based on Knowledge Distillation
Lanping Wu, Bin Dong, Xiaoqing Liu, et al.
Life Sciences
|
December 16, 2023
Integrated non-targeted metabolomics and network pharmacology to reveal the mechanisms of berberine in the long-term treatment of PTZ-induced epilepsy
Hailin Zhu, Ziyu Wu, Yizhou Yu, et al.
Frontiers in Medicine
|
July 14, 2023
A deep learning model for prediction of post hepatectomy liver failure after hemihepatectomy using preoperative contrast-enhanced computed tomography: a retrospective study
Xiaoqing Xu, Zijian Xing, Zhiyao Xu, et al.
Theranostics
|
May 7, 2020
Multicenter cohort study demonstrates more consolidation in upper lungs on initial CT increases the risk of adverse clinical outcome in COVID-19 patients
Qian Yu, Yuancheng Wang, Shan Huang, et al.
Frontiers in Oncology
|
November 1, 2021
Radiomics Based on Contrast-Enhanced MRI in Differentiation Between Fat-Poor Angiomyolipoma and Hepatocellular Carcinoma in Noncirrhotic Liver: A Multicenter Analysis
Xiangtian Zhao, Yukun Zhou, Yuan Zhang, et al.
Frontiers in Immunology
|
April 25, 2022
Non-Invasive Measurement Using Deep Learning Algorithm Based on Multi-Source Features Fusion to Predict PD-L1 Expression and Survival in NSCLC
Chengdi Wang, Jiechao Ma, Jun Shao, et al.
JMIR Formative Research
|
March 22, 2022
Optimizing Existing Mental Health Screening Methods in a Dementia Screening and Risk Factor App: Observational Machine Learning Study
Narayan Kuleindiren, Raphael Paul Rifkin-Zybutz, Monika Johal, et al.
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of 14