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

Prospective longitudinal analysis of physiologic MRI-based tumor habitat predicts short-term patient outcomes in IDH-wildtype glioblastoma

基于生理性MRI的肿瘤微环境的前瞻性纵向分析可预测IDH野生型胶质母细胞瘤患者的短期预后

Moon, Hye Hyeon; Park, Ji Eun; Kim, NakYoung; Park, Seo Young; Kim, Young-Hoon; Song, Sang Woo; Hong, Chang Ki; Kim, Jeong Hoon; Kim, Ho Sung

Mapping tumor habitats in isocitrate dehydrogenase -wild type glioblastoma: Integrating MRI, pathologic, and RNA data from the Ivy Glioblastoma Atlas Project

绘制异柠檬酸脱氢酶野生型胶质母细胞瘤的肿瘤微环境图谱:整合来自常春藤胶质母细胞瘤图谱项目的MRI、病理和RNA数据

Park, Ji Eun; Oh, Joo Young; Park, Do Hoon; Lee, Ho-Su; Yoon, Shinkyo; Kim, NakYoung; Park, Seo Young; Song, Sang Woo; Kim, Young-Hoon; Hong, Chang-Ki; Kim, Jeong Hoon; Kim, Ho Sung

Expression and localization of two β-carbonic anhydrases in Bienertia, a single-cell C(4) plant

在单细胞C4植物毕纳氏菌中两种β-碳酸酐酶的表达和定位

Nguyen, Tho; Lee, Nakyoung; Frömling, Fabian J; Meister, Toni L; Kim, Jung Sun; Offermann, Sascha; Hwang, Inhwan

Deep learning-based detection and quantification of brain metastases on black-blood imaging can provide treatment suggestions: a clinical cohort study

基于深度学习的黑血成像脑转移瘤检测和定量分析可为治疗提供建议:一项临床队列研究

Jeong, Hana; Park, Ji Eun; Kim, NakYoung; Yoon, Shin-Kyo; Kim, Ho Sung

CRISPR/Cas9 targeting of passenger single nucleotide variants in haploinsufficient or essential genes expands cancer therapy prospects

CRISPR/Cas9 靶向单倍体不足或必需基因中的乘客单核苷酸变异扩大了癌症治疗的前景

Hakhyun Kim #, Jang Hee Han #, Hyosil Kim, Minjee Kim, Seung-Il Jo, NaKyoung Lee, Seungbin Cha, Myung Joon Oh, GaWon Choi, Hyun Seok Kim

Deep learning-based metastasis detection in patients with lung cancer to enhance reproducibility and reduce workload in brain metastasis screening with MRI: a multi-center study

基于深度学习的肺癌脑转移检测可提高MRI筛查的可重复性并降低工作量:一项多中心研究

Park, Yae Won; Park, Ji Eun; Ahn, Sung Soo; Han, Kyunghwa; Kim, NakYoung; Oh, Joo Young; Lee, Da Hyun; Won, So Yeon; Shin, Ilah; Kim, Ho Sung; Lee, Seung-Koo

Correction: Deep learning-based metastasis detection in patients with lung cancer to enhance reproducibility and reduce workload in brain metastasis screening with MRI: a multi-center study

更正:基于深度学习的肺癌患者脑转移检测可提高MRI筛查的可重复性并降低工作量:一项多中心研究

Park, Yae Won; Park, Ji Eun; Ahn, Sung Soo; Han, Kyunghwa; Kim, NakYoung; Oh, Joo Young; Lee, Da Hyun; Won, So Yeon; Shin, Ilah; Kim, Ho Sung; Lee, Seung-Koo

Prospective longitudinal analysis of imaging-based spatiotemporal tumor habitats in glioblastoma, IDH-wild type: implication in patient outcome using multiparametric physiologic MRI

基于影像的胶质母细胞瘤(IDH野生型)时空肿瘤微环境的前瞻性纵向分析:利用多参数生理磁共振成像探讨其对患者预后的影响

Moon, Hye Hyeon; Park, Ji Eun; Kim, NakYoung; Kim, Young-Hoon; Song, Sang Woo; Hong, Chang Ki; Kim, Jeong Hoon; Kim, Ho Sung

Tumor Habitat Analysis Using Longitudinal Physiological MRI to Predict Tumor Recurrence After Stereotactic Radiosurgery for Brain Metastasis

利用纵向生理磁共振成像进行肿瘤生境分析,预测脑转移瘤立体定向放射外科手术后的肿瘤复发

Lee, Da Hyun; Park, Ji Eun; Kim, NakYoung; Park, Seo Young; Kim, Young-Hoon; Cho, Young Hyun; Kim, Jeong Hoon; Kim, Ho Sung

Long-Term Ambient Air Pollution Exposures and Brain Imaging Markers in Korean Adults: The Environmental Pollution-Induced Neurological EFfects (EPINEF) Study

韩国成年人长期暴露于环境空气污染与脑成像标志物的关系:环境污染诱发神经效应(EPINEF)研究

Cho, Jaelim; Noh, Young; Kim, Sun Young; Sohn, Jungwoo; Noh, Juhwan; Kim, Woojin; Cho, Seong-Kyung; Seo, Hwasun; Seo, Gayoung; Lee, Seung-Koo; Seo, Seongho; Koh, Sang-Baek; Oh, Sung Soo; Kim, Hee Jin; Seo, Sang Won; Shin, Dae-Seock; Kim, Nakyoung; Kim, Ho Hyun; Lee, Jung Il; Kim, Changsoo