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

A Data-Centric Approach to Deep Learning for Brain Metastasis Analysis at MRI

基于数据中心的深度学习方法用于MRI脑转移瘤分析

Topff, Laurens; Petrychenko, Liliana; Jain, Neeraj; Lingier, Sara; Bertels, Jeroen; Astudillo, Patricio; Prosec, Milan; Menéndez Fernández-Miranda, Pablo; Gevaert, Olivier; Smits, Marion; Derks, Sophie; Verhaak, Eline; Hanssens, Patrick E J; Marco de Lucas, Enrique; Sutil, Rodrigo; Dominguez, Pablo D; Negoita, Adina; Visser, Ernst; Corral Fontecha, David; Braun, Loes M M; Brandsma, Dieta; Visser, Jacob J; Ranschaert, Erik R; Groot Lipman, Kevin B W; Beets-Tan, Regina G H

AI medical device post-market surveillance regulations: consensus recommendations by the European Society of Radiology

人工智能医疗器械上市后监管法规:欧洲放射学会的共识建议

Cuocolo, Renato; Bernardini, Diana; Pinto Dos Santos, Daniel; Klontzas, Michail E; Akinci D'Antonoli, Tugba; Semedo, Luís Curvo; Decoster, Robin; Huisman, Merel; Kotter, Elmar; Martí-Bonmatí, Luis; Minoiu, Costin; Neri, Emanuele; Nikolaou, Konstantin; Radzina, Maija; Sala, Evis; Shelmerdine, Susan C; Topff, Laurens; Williams, Michelle C

Bevacizumab for symptomatic cerebral radiation necrosis after radiation of high-grade glioma or brain metastases - when and for whom?

贝伐单抗用于治疗高级别胶质瘤或脑转移瘤放射治疗后出现的症状性脑放射性坏死——何时以及适用于哪些患者?

Kroon, Lente L; Dieleman, Edith M T; Keil, Vera C; van Barreveld, Marit; Dijkgraaf, Marcel G W; Topff, Laurens; Wagemakers, Sander N; Snijders, Tom J; Vos, Maaike J; Koekkoek, Johan A F; Stalpers, Lukas J A; de Vos, Filip Y F L; Brandsma, Dieta

Artificial intelligence-assisted double reading of chest radiographs to detect clinically relevant missed findings: a two-centre evaluation

人工智能辅助双重阅片以检测临床相关漏诊病例:一项双中心评估

Topff, Laurens; Steltenpool, Sanne; Ranschaert, Erik R; Ramanauskas, Naglis; Menezes, Renee; Visser, Jacob J; Beets-Tan, Regina G H; Hartkamp, Nolan S

Is the generalizability of a developed artificial intelligence algorithm for COVID-19 on chest CT sufficient for clinical use? Results from the International Consortium for COVID-19 Imaging AI (ICOVAI)

针对胸部CT图像的COVID-19诊断,已开发的AI算法的通用性是否足以满足临床应用需求?来自国际COVID-19影像AI联盟(ICOVAI)的研究结果

Topff, Laurens; Groot Lipman, Kevin B W; Guffens, Frederic; Wittenberg, Rianne; Bartels-Rutten, Annemarieke; van Veenendaal, Gerben; Hess, Mirco; Lamerigts, Kay; Wakkie, Joris; Ranschaert, Erik; Trebeschi, Stefano; Visser, Jacob J; Beets-Tan, Regina G H

Artificial Intelligence Tool for Detection and Worklist Prioritization Reduces Time to Diagnosis of Incidental Pulmonary Embolism at CT

用于检测和工作列表优先级排序的人工智能工具可缩短CT检查中偶然发现的肺栓塞的诊断时间。

Topff, Laurens; Ranschaert, Erik R; Bartels-Rutten, Annemarieke; Negoita, Adina; Menezes, Renee; Beets-Tan, Regina G H; Visser, Jacob J

A deep learning-based application for COVID-19 diagnosis on CT: The Imaging COVID-19 AI initiative

基于深度学习的CT COVID-19诊断应用:COVID-19影像人工智能计划

Topff, Laurens; Sánchez-García, José; López-González, Rafael; Pastor, Ana Jiménez; Visser, Jacob J; Huisman, Merel; Guiot, Julien; Beets-Tan, Regina G H; Alberich-Bayarri, Angel; Fuster-Matanzo, Almudena; Ranschaert, Erik R

The RSNA International COVID-19 Open Radiology Database (RICORD)

RSNA国际COVID-19开放放射学数据库(RICORD)

Tsai, Emily B; Simpson, Scott; Lungren, Matthew P; Hershman, Michelle; Roshkovan, Leonid; Colak, Errol; Erickson, Bradley J; Shih, George; Stein, Anouk; Kalpathy-Cramer, Jayashree; Shen, Jody; Hafez, Mona; John, Susan; Rajiah, Prabhakar; Pogatchnik, Brian P; Mongan, John; Altinmakas, Emre; Ranschaert, Erik R; Kitamura, Felipe C; Topff, Laurens; Moy, Linda; Kanne, Jeffrey P; Wu, Carol C

Longitudinal structural and perfusion MRI enhanced by machine learning outperforms standalone modalities and radiological expertise in high-grade glioma surveillance

结合机器学习的纵向结构和灌注磁共振成像技术在高级别胶质瘤监测方面优于单一成像方式和放射科医生的专业经验。

Siakallis, Loizos; Sudre, Carole H; Mulholland, Paul; Fersht, Naomi; Rees, Jeremy; Topff, Laurens; Thust, Steffi; Jager, Rolf; Cardoso, M Jorge; Panovska-Griffiths, Jasmina; Bisdas, Sotirios