Kimberley M. Timmins

According to our database, Kimberley M. Timmins authored at least 9 papers between 2021 and 2023.

Collaborative distances:

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

2023

Geometric Deep Learning Using Vascular Surface Meshes for Modality-Independent Unruptured Intracranial Aneurysm Detection.

Kimberley M. Timmins, Irene C. van der Schaaf, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf

IEEE Trans. Medical Imaging, November, 2023

Image Analysis and Deep Learning Techniques for the Detection and Characterisation of Unruptured Intracranial Aneurysms.

Kimberley M. Timmins

PhD thesis, 2023

Assessment of cerebral vascular abnormality quantification technique to aid aneurysm localization.

Giulia de Donno, Kimberley M. Timmins, Hugo J. Kuijf

Proceedings of the Medical Imaging 2023: Image Perception, 2023

2022

Improving automated intracranial artery labeling using atlas-based features in graph convolutional nets.

Iris N. Vos, Ynte M. Ruigrok, Kimberley M. Timmins, Birgitta K. Velthuis, Hugo J. Kuijf

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Future Unruptured Intracranial Aneurysm Growth Prediction Using Mesh Convolutional Neural Networks.

Kimberley M. Timmins, Maarten J. Kamphuis, Iris N. Vos, Birgitta K. Velthuis, Irene C. van der Schaaf, Hugo J. Kuijf

Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022

Deep learning with vessel surface meshes for intracranial aneurysm detection.

Kimberley M. Timmins, Irene C. van der Schaaf, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021

Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge.

Kimberley M. Timmins, Irene C. van der Schaaf, Edwin Bennink, Ynte M. Ruigrok, Xingle An, Michael Baumgartner, Pascal Bourdon, Riccardo de Feo, Tommaso Di Noto, Florian Dubost, Augusto Fava-Sanches, Xue Feng, Corentin Giroud, Inteneural Group, Minghui Hu, Paul F. Jaeger, Juhana Kaiponen, Michal Klimont, Yuexiang Li, Hongwei Li, Yi Lin, Timo Loehr, Jun Ma, Klaus H. Maier-Hein, Guillaume Marie, Bjoern H. Menze, Jonas Richiardi, Saifeddine Rjiba, Dhaval Shah, Suprosanna Shit, Jussi Tohka, Thierry Urruty, Urszula Walinska, Xiaoping Yang, Yunqiao Yang, Yin Yin, Birgitta K. Velthuis, Hugo J. Kuijf

NeuroImage, 2021

Automatic cerebral vessel extraction in TOF-MRA using deep learning.

V. de Vos, Kimberley M. Timmins, Irene C. van der Schaaf, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Variational autoencoders with a structural similarity loss in time of flight MRAs.

Kimberley M. Timmins, Irene C. van der Schaaf, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021