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

AI in radiological imaging of soft-tissue and bone tumours: a systematic review evaluating against CLAIM and FUTURE-AI guidelines

人工智能在软组织和骨肿瘤放射影像学中的应用:一项基于CLAIM和FUTURE-AI指南的系统评价

Spaanderman, Douwe J; Marzetti, Matthew; Wan, Xinyi; Scarsbrook, Andrew F; Robinson, Philip; Oei, Edwin H G; Visser, Jacob J; Hemke, Robert; van Langevelde, Kirsten; Hanff, David F; van Leenders, Geert J L H; Verhoef, Cornelis; Grünhagen, Dirk J; Niessen, Wiro J; Klein, Stefan; Starmans, Martijn P A

A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations

包含专家分割的大规模多中心乳腺癌DCE-MRI基准数据集

Garrucho, Lidia; Kushibar, Kaisar; Reidel, Claire-Anne; Joshi, Smriti; Osuala, Richard; Tsirikoglou, Apostolia; Bobowicz, Maciej; Del Riego, Javier; Catanese, Alessandro; Gwoździewicz, Katarzyna; Cosaka, Maria-Laura; Abo-Elhoda, Pasant M; Tantawy, Sara W; Sakrana, Shorouq S; Shawky-Abdelfatah, Norhan O; Salem, Amr Muhammad Abdo; Kozana, Androniki; Divjak, Eugen; Ivanac, Gordana; Nikiforaki, Katerina; Klontzas, Michail E; García-Dosdá, Rosa; Gulsun-Akpinar, Meltem; Lafcı, Oğuz; Mann, Ritse; Martín-Isla, Carlos; Prior, Fred; Marias, Kostas; Starmans, Martijn P A; Strand, Fredrik; Díaz, Oliver; Igual, Laura; Lekadir, Karim

Minimally interactive segmentation of soft-tissue tumors on CT and MRI using deep learning

利用深度学习对CT和MRI上的软组织肿瘤进行最小交互分割

Spaanderman, Douwe J; Starmans, Martijn P A; van Erp, Gonnie C M; Hanff, David F; Sluijter, Judith H; Schut, Anne-Rose W; van Leenders, Geert J L H; Verhoef, Cornelis; Grünhagen, Dirk J; Niessen, Wiro J; Visser, Jacob J; Klein, Stefan

ESR Essentials: how to get to valuable radiology AI: the role of early health technology assessment-practice recommendations by the European Society of Medical Imaging Informatics

ESR要点:如何获得有价值的放射学人工智能:早期健康技术评估的作用——欧洲医学影像信息学会的实践建议

Kemper, Erik H M; Erenstein, Hendrik; Boverhof, Bart-Jan; Redekop, Ken; Andreychenko, Anna E; Dietzel, Matthias; Groot Lipman, Kevin B W; Huisman, Merel; Klontzas, Michail E; Vos, Frans; IJzerman, Maarten; Starmans, Martijn P A; Visser, Jacob J

Size matters: Early progression of melanoma brain metastases after treatment with immune checkpoint inhibitors

大小很重要:免疫检查点抑制剂治疗后黑色素瘤脑转移的早期进展

Derks, Sophie H A E; Ho, Li Shen; Koene, Stephan R; Starmans, Martijn P A; Oomen-de Hoop, Esther; Joosse, Arjen; de Jonge, Maja J A; Naipal, Kishan A T; Jongen, Joost L M; van den Bent, Martin J; Smits, Marion; van der Veldt, Astrid A M

New implementation of data standards for AI in oncology: Experience from the EuCanImage project

肿瘤学人工智能数据标准的新实施:来自 EuCanImage 项目的经验

García-Lezana, Teresa; Bobowicz, Maciej; Frid, Santiago; Rutherford, Michael; Recuero, Mikel; Riklund, Katrine; Cabrelles, Aldar; Rygusik, Marlena; Fromont, Lauren; Francischello, Roberto; Neri, Emanuele; Capella, Salvador; Navarro, Arcadi; Prior, Fred; Bona, Jonathan; Nicolas, Pilar; Starmans, Martijn P A; Lekadir, Karim; Rambla, Jordi

Dynamic PET imaging in patients with unilateral carotid occlusion shows lateralized cerebral hypoperfusion, but no amyloid binding

单侧颈动脉闭塞患者的动态PET成像显示侧向脑灌注不足,但未见淀粉样蛋白结合。

Starmans, Naomi Lp; Leeuwis, Anna E; Bennink, Edwin; Meyer Viol, Sebastiaan L; Golla, Sandeep Sv; Dankbaar, Jan Willem; Bron, Esther E; Biessels, Geert Jan; Kappelle, L Jaap; van der Flier, Wiesje M; Tolboom, Nelleke

Classification of chronic pain and spinal cord stimulation response using machine learning in magnetoencephalography data

利用机器学习对脑磁图数据中的慢性疼痛和脊髓刺激反应进行分类

Witjes, Bart; Starmans, Martijn P A; Huygen, Frank J P M; de Vos, Cecile C

Multi-center external validation of an automated method segmenting and differentiating atypical lipomatous tumors from lipomas using radiomics and deep-learning on MRI

利用放射组学和深度学习技术对MRI图像进行自动化分割和区分非典型脂肪瘤和脂肪瘤的方法进行多中心外部验证

Spaanderman, D J; Hakkesteegt, S N; Hanff, D F; Schut, A R W; Schiphouwer, L M; Vos, M; Messiou, C; Doran, S J; Jones, R L; Hayes, A J; Nardo, L; Abdelhafez, Y G; Moawad, A W; Elsayes, K M; Lee, S; Link, T M; Niessen, W J; van Leenders, G J L H; Visser, J J; Klein, S; Grünhagen, D J; Verhoef, C; Starmans, M P A

Independent validation of CT radiomics models in colorectal liver metastases: predicting local tumour progression after ablation

结直肠癌肝转移瘤CT放射组学模型的独立验证:预测消融术后局部肿瘤进展

van der Reijd, Denise J; Guerendel, Corentin; Staal, Femke C R; Busard, Milou P; De Oliveira Taveira, Mateus; Klompenhouwer, Elisabeth G; Kuhlmann, Koert F D; Moelker, Adriaan; Verhoef, Cornelis; Starmans, Martijn P A; Lambregts, Doenja M J; Beets-Tan, Regina G H; Benson, Sean; Maas, Monique