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

A clinically relevant computed tomography (CT) radiomics strategy for intracranial rodent brain tumour monitoring

一种用于颅内啮齿动物脑肿瘤监测的具有临床意义的计算机断层扫描(CT)放射组学策略

Connor, Kate; Conroy, Emer; White, Kieron; Shiels, Liam P; Keek, Simon; Ibrahim, Abdalla; Gallagher, William M; Sweeney, Kieron J; Clerkin, James; O'Brien, David; Cryan, Jane B; O'Halloran, Philip J; Heffernan, Josephine; Brett, Francesca; Lambin, Philippe; Woodruff, Henry C; Byrne, Annette T

The B. subtilis Rok protein is an atypical H-NS-like protein irresponsive to physico-chemical cues

枯草芽孢杆菌 Rok 蛋白是一种非典型的 H-NS 样蛋白,对物理化学线索没有反应

Amanda M Erkelens, Liang Qin, Bert van Erp, Andrés Miguel-Arribas, David Abia, Helena G J Keek, Dorijn Markus, Marc K M Cajili, Samuel Schwab, Wilfried J J Meijer, Remus T Dame

Automated detection and segmentation of non-small cell lung cancer computed tomography images

非小细胞肺癌计算机断层扫描图像的自动检测和分割

Primakov, Sergey P; Ibrahim, Abdalla; van Timmeren, Janita E; Wu, Guangyao; Keek, Simon A; Beuque, Manon; Granzier, Renée W Y; Lavrova, Elizaveta; Scrivener, Madeleine; Sanduleanu, Sebastian; Kayan, Esma; Halilaj, Iva; Lenaers, Anouk; Wu, Jianlin; Monshouwer, René; Geets, Xavier; Gietema, Hester A; Hendriks, Lizza E L; Morin, Olivier; Jochems, Arthur; Woodruff, Henry C; Lambin, Philippe

Investigation of the added value of CT-based radiomics in predicting the development of brain metastases in patients with radically treated stage III NSCLC

探讨基于CT的放射组学在预测根治性治疗的III期非小细胞肺癌患者脑转移发生中的附加价值。

Keek, Simon A; Kayan, Esma; Chatterjee, Avishek; Belderbos, José S A; Bootsma, Gerben; van den Borne, Ben; Dingemans, Anne-Marie C; Gietema, Hester A; Groen, Harry J M; Herder, Judith; Pitz, Cordula; Praag, John; De Ruysscher, Dirk; Schoenmaekers, Janna; Smit, Hans J M; Stigt, Jos; Westenend, Marcel; Zeng, Haiyan; Woodruff, Henry C; Lambin, Philippe; Hendriks, Lizza

Test-Retest Data for the Assessment of Breast MRI Radiomic Feature Repeatability

用于评估乳腺MRI放射组学特征重复性的重测数据

Granzier, R W Y; Ibrahim, A; Primakov, S; Keek, S A; Halilaj, I; Zwanenburg, A; Engelen, S M E; Lobbes, M B I; Lambin, P; Woodruff, H C; Smidt, M L

Predicting Adverse Radiation Effects in Brain Tumors After Stereotactic Radiotherapy With Deep Learning and Handcrafted Radiomics

利用深度学习和手工放射组学预测立体定向放射治疗后脑肿瘤的不良放射效应

Keek, Simon A; Beuque, Manon; Primakov, Sergey; Woodruff, Henry C; Chatterjee, Avishek; van Timmeren, Janita E; Vallières, Martin; Hendriks, Lizza E L; Kraft, Johannes; Andratschke, Nicolaus; Braunstein, Steve E; Morin, Olivier; Lambin, Philippe

A Prospectively Validated Prognostic Model for Patients with Locally Advanced Squamous Cell Carcinoma of the Head and Neck Based on Radiomics of Computed Tomography Images

基于计算机断层扫描图像放射组学的局部晚期头颈部鳞状细胞癌患者前瞻性验证预后模型

Keek, Simon A; Wesseling, Frederik W R; Woodruff, Henry C; van Timmeren, Janita E; Nauta, Irene H; Hoffmann, Thomas K; Cavalieri, Stefano; Calareso, Giuseppina; Primakov, Sergey; Leijenaar, Ralph T H; Licitra, Lisa; Ravanelli, Marco; Scheckenbach, Kathrin; Poli, Tito; Lanfranco, Davide; Vergeer, Marije R; Leemans, C René; Brakenhoff, Ruud H; Hoebers, Frank J P; Lambin, Philippe

Development of a multiomics database for personalized prognostic forecasting in head and neck cancer: The Big Data to Decide EU Project

构建用于头颈癌个性化预后预测的多组学数据库:欧盟大数据决策项目

Cavalieri, Stefano; De Cecco, Loris; Brakenhoff, Ruud H; Serafini, Mara Serena; Canevari, Silvana; Rossi, Silvia; Lanfranco, Davide; Hoebers, Frank J P; Wesseling, Frederik W R; Keek, Simon; Scheckenbach, Kathrin; Mattavelli, Davide; Hoffmann, Thomas; López Pérez, Laura; Fico, Giuseppe; Bologna, Marco; Nauta, Irene; Leemans, C René; Trama, Annalisa; Klausch, Thomas; Berkhof, Johannes Hans; Tountopoulos, Vasilis; Shefi, Ron; Mainardi, Luca; Mercalli, Franco; Poli, Tito; Licitra, Lisa

Implementing Systems Modelling and Molecular Imaging to Predict the Efficacy of BCL-2 Inhibition in Colorectal Cancer Patient-Derived Xenograft Models

应用系统建模和分子成像技术预测BCL-2抑制剂在结直肠癌患者来源异种移植模型中的疗效

O'Farrell, Alice C; Jarzabek, Monika A; Lindner, Andreas U; Carberry, Steven; Conroy, Emer; Miller, Ian S; Connor, Kate; Shiels, Liam; Zanella, Eugenia R; Lucantoni, Federico; Lafferty, Adam; White, Kieron; Meyer Villamandos, Mariangela Meyer; Dicker, Patrick; Gallagher, William M; Keek, Simon A; Sanduleanu, Sebastian; Lambin, Philippe; Woodruff, Henry C; Bertotti, Andrea; Trusolino, Livio; Byrne, Annette T; Prehn, Jochen H M

Privacy-preserving distributed learning of radiomics to predict overall survival and HPV status in head and neck cancer

利用隐私保护分布式学习技术分析放射组学,预测头颈癌患者的总体生存率和HPV状态

Bogowicz, Marta; Jochems, Arthur; Deist, Timo M; Tanadini-Lang, Stephanie; Huang, Shao Hui; Chan, Biu; Waldron, John N; Bratman, Scott; O'Sullivan, Brian; Riesterer, Oliver; Studer, Gabriela; Unkelbach, Jan; Barakat, Samir; Brakenhoff, Ruud H; Nauta, Irene; Gazzani, Silvia E; Calareso, Giuseppina; Scheckenbach, Kathrin; Hoebers, Frank; Wesseling, Frederik W R; Keek, Simon; Sanduleanu, Sebastian; Leijenaar, Ralph T H; Vergeer, Marije R; Leemans, C René; Terhaard, Chris H J; van den Brekel, Michiel W M; Hamming-Vrieze, Olga; van der Heijden, Martijn A; Elhalawani, Hesham M; Fuller, Clifton D; Guckenberger, Matthias; Lambin, Philippe