Andrew F. Scarsbrook

According to our database, Andrew F. Scarsbrook authored at least 4 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

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

CoRR, 2024

2023

Toxicity Prediction in Pelvic Radiotherapy Using Multiple Instance Learning and Cascaded Attention Layers.

Behnaz Elhaminia, Alexandra Gilbert, John Lilley, Moloud Abdar, Alejandro F. Frangi, Andrew F. Scarsbrook, Ane Appelt, Ali Gooya

IEEE J. Biomed. Health Informatics, April, 2023

Deep learning with visual explanation for radiotherapy-induced toxicity prediction.

Behnaz Elhaminia, Alexandra Gilbert, Alejandro F. Frangi, Andrew F. Scarsbrook, John Lilley, Ane Appelt, Ali Gooya

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022

Dynamic feature learning for COVID-19 segmentation and classification.

Xiaoqin Zhang, Runhua Jiang, Pengcheng Huang, Tao Wang, Mingjun Hu, Andrew F. Scarsbrook, Alejandro F. Frangi

Comput. Biol. Medicine, 2022