日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Key Measures for Evaluating Diagnostic Accuracy in Multi-Class Classification: An Overview and Simulation-Based Comparison

多分类诊断准确性评价的关键指标：概述及基于仿真的比较

期刊:Korean Journal of Radiology
影响因子:5.3
doi:10.3348/kjr.2025.1447
Ryu, Leeha; Han, Kyunghwa; Jung, Inkyung; Park, Yae Won; Ahn, Sung Soo; Hwang, Dosik
发表日期：2026
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Interpretable multimodal transformer for prediction of molecular subtypes and grades in adult-type diffuse gliomas

用于预测成人型弥漫性胶质瘤分子亚型和分级的可解释多模态转换器

期刊:npj Digital Medicine
影响因子:15.1
doi:10.1038/s41746-025-01530-4
Byeon, Yunsu; Park, Yae Won; Lee, Soohyun; Park, Doohyun; Shin, HyungSeob; Han, Kyunghwa; Chang, Jong Hee; Kim, Se Hoon; Lee, Seung-Koo; Ahn, Sung Soo; Hwang, Dosik
胶质瘤
发表日期：2025
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Multimodal AI model for preoperative prediction of axillary lymph node metastasis in breast cancer using whole slide images

利用全切片图像进行乳腺癌腋窝淋巴结转移术前预测的多模态人工智能模型

期刊:npj Precision Oncology
影响因子:8
doi:10.1038/s41698-025-00914-9
Park, Doohyun; Lee, Yong-Moon; Eo, Taejoon; An, Hee Jung; Kang, Haeyoun; Park, Eunhyang; Cha, Yoon Jin; Park, Heejung; Kwon, Dohee; Kwon, Sun Young; Jung, Hye-Ra; Shin, Su-Jin; Park, Hyunjin; Lee, Yangkyu; Park, Sanghui; Kim, Ji Min; Choi, Sung-Eun; Cho, Nam Hoon; Hwang, Dosik
肿瘤
肿瘤免疫
乳腺癌
发表日期：2025
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Segment Anything Model (SAM) and Medical SAM (MedSAM) for Lumbar Spine MRI

腰椎MRI的分割任意模型（SAM）和医学分割任意模型（MedSAM）

期刊:Sensors
影响因子:3.5
doi:10.3390/s25123596
Chang, Christian; Law, Hudson; Poon, Connor; Yen, Sydney; Lall, Kaustubh; Jamshidi, Armin; Malis, Vadim; Hwang, Dosik; Bae, Won C
发表日期：2025
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Corrigendum to "Monolayer, open-mesh, pristine PEDOT:PSS-based conformal brain implants for fully MRI-compatible neural interfaces" [Biosens. Bioelectron. 260 (2024) 116446]

对“用于完全兼容 MRI 的神经接口的单层、开放式网状、原始 PEDOT:PSS 基共形脑植入物”的更正 [Biosens. Bioelectron. 260 (2024) 116446]

期刊:Biosensors & Bioelectronics
影响因子:10.5
doi:10.1016/j.bios.2024.116600
Hong, Jung-Hoon; Lee, Ju Young; Dutta, Ankan; Yoon, Sol Lip; Cho, Young Uk; Kim, Kyubeen; Kang, Kyowon; Kim, Hyun Woo; Kim, Dae-Hee; Park, Jaejin; Cho, Myeongki; Kim, Kiho; An, Jong Bin; Lee, Hye-Lan; Hwang, Dosik; Kim, Hyun Jae; Ha, Yoon; Lee, Hye Yeong; Cheng, Huanyu; Yu, Ki Jun
神经科学
发表日期：2024
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Monolayer, open-mesh, pristine PEDOT:PSS-based conformal brain implants for fully MRI-compatible neural interfaces.

单层、开放式网状、纯净的基于PEDOT:PSS的共形脑植入物，可实现完全兼容MRI的神经接口

期刊:Biosensors & Bioelectronics
影响因子:10.5
doi:10.1016/j.bios.2024.116446
Hong Jung-Hoon, Lee Ju Young, Dutta Ankan, Yoon Sol Lip, Cho Young Uk, Kim Kyubeen, Kang Kyowon, Kim Hyun Woo, Kim Dae-Hee, Park Jaejin, Cho Myeongki, Kim Kiho, An Jong Bin, Lee Hye-Lan, Hwang Dosik, Kim Hyun Jae, Ha Yoon, Lee Hye Yeong, Cheng Huanyu, Yu Ki Jun
神经科学
发表日期：2024
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Deep Learning-Based Joint Effusion Classification in Adult Knee Radiographs: A Multi-Center Prospective Study

基于深度学习的成人膝关节X线片关节积液分类：一项多中心前瞻性研究

期刊:Diagnostics
影响因子:3.3
doi:10.3390/diagnostics14171900
Won, Hyeyeon; Lee, Hye Sang; Youn, Daemyung; Park, Doohyun; Eo, Taejoon; Kim, Wooju; Hwang, Dosik
发表日期：2024
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(18)F-FDG-PET-based deep learning for predicting cognitive decline in non-demented elderly across the Alzheimer's disease clinical spectrum

基于 (18)F-FDG-PET 的深度学习用于预测非痴呆老年人在阿尔茨海默病临床谱系中的认知衰退

期刊:
影响因子:
doi:10.1093/radadv/umae021
Sohn, Beomseok; Chung, Seok Jong; Lee, Jeong Ryong; Hwang, Dosik; Xie, Wanying; Chan, Ling Ling; Choi, Yoon Seong
阿尔茨海默症
神经科学
发表日期：2024
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Deep learning-based amyloid PET harmonization to predict cognitive decline in non-demented elderly

基于深度学习的淀粉样蛋白PET图像协调技术用于预测非痴呆老年人的认知衰退

期刊:
影响因子:
doi:10.1093/radadv/umae019
Choi, Yoon Seong; Ngam, Pei Ing; Lee, Jeong Ryong; Hwang, Dosik; Tan, Eng-King
神经科学
发表日期：2024
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Exercise blood pressure and heart rate responses to graded exercise testing in intermediate versus morning chronotypes with obesity

肥胖人群中，中间型昼夜节律类型与晨型昼夜节律类型在分级运动试验中的血压和心率反应

期刊:American Journal of Physiology-Heart and Circulatory Physiology
影响因子:4.1
doi:10.1152/ajpheart.00149.2023
Remchak, Mary-Margaret E; Dosik, Jaclyn K; Pappas, Gregory; Gow, Andrew J; Shah, Ankit M; Malin, Steven K
肥胖
代谢
发表日期：2023
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