Automatic artery/vein classification in 2D-DSA images of stroke patients. - Vivian van Asperen; Josefien van den Berg; Fleur Lycklama; Victoria Marting; Sandra A. P. Cornelissen; Wim H. van Zwam; Jeannette Hofmeijer; Aad van der Lugt; Theo van Walsum; Matthijs van der Sluijs; Ruisheng Su (Image-Guided Procedures, 2022)

Spatio-temporal deep learning for automatic detection of intracranial vessel perforation in digital subtraction angiography during endovascular thrombectomy. - Ruisheng Su; Matthijs van der Sluijs; Sandra A. P. Cornelissen; Geert J. Lycklama; Jeannette Hofmeijer; Charles B. L. M. Majoie; Pieter Jan van Doormaal; Adriaan C. G. M. van Es; Danny Ruijters; Wiro J. Niessen; Aad van der Lugt; Theo van Walsum (Medical Image Anal., 2022)

Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning. - Wei-Long Zheng; Edilberto Amorim; Jin Jing; Ona Wu; Mohammad M. Ghassemi; Jong Woo Lee; Adithya Sivaraju; Trudy Pang; Susan T. Herman; Nicolas Gaspard; Barry J. Ruijter; Marleen C. Tjepkema-Cloostermans; et al. (IEEE Trans. Biomed. Eng., 2022)

Multimodal Deep Learning for Functional Outcome Prediction in Endovascular Therapy. - Frank te Nijenhuis; Ruisheng Su; Pieter Jan van Doormaal; Jeannette Hofmeijer; Jasper Martens; Wim H. van Zwam; Aad van der Lugt; Theo van Walsum (BrainLes/SWITCH@MICCAI, 2023)

Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023. - Matthew A. Reyna; Edilberto Amorim; Reza Sameni; James Weigle; Andoni Elola; Ali Bahrami Rad; Salman Seyedi; Hyeokhyen Kwon; Wei-Long Zheng; Mohammad M. Ghassemi; Michel J. A. M. van Putten; Jeannette Hofmeijer; et al. (CinC, 2023)