Principal Investigator: Ben Glocker
Recent Papers
- Khara et al. (2024) Generalisable deep learning method for mammographic density prediction across imaging techniques and self-reported race
- Jones et al. (2024) A causal perspective on dataset bias in machine learning for medical imaging
- Kori et al. (2024) Grounded Object-Centric Learning
- Ng et al. (2023) Prospective implementation of AI-assisted screen reading to improve early detection of breast cancer
- Roschewitz et al. (2023) Automatic correction of performance drift under acquisition shift in medical image classification
Projects
Publications
2022 (2)
- Virginia F. J. Newcombe, Nicholas J. Ashton, Jussi P. Posti, Ben Glocker, Anne Manktelow, Doris A. Chatfield, Stefan Winzeck, Edward Needham, Marta M. Correia, Guy B. Williams, Joel Simrén, Riikka S. K. Takala, Ari J. Katila, Henna-Riikka Maanpää, Jussi Tallus, Janek Frantzén, Kaj Blennow, Olli Tenovuo, Henrik Zetterberg, David K. Menon, Post-acute blood biomarkers and disease progression in traumatic brain injury, Brain, 2022
- Daniel P. Whitehouse, Miguel Monteiro, Endre Czeiter, Thijs Vande Vyvere, Fernanda Valerio, Zheng Ye, Krisztina Amrein, Konstantinos Kamnitsas, Haiyan Xu, Zhihui Yang, Jan Verheyden, Tilak Das, Evgenios N. Kornaropoulos, Ewout Steyerberg, Andrew I.R. Maas, Kevin K.W. Wang, András Büki, Ben Glocker, David K. Menon, Virginia F.J. Newcombe, Relationship of admission blood proteomic biomarkers levels to lesion type and lesion burden in traumatic brain injury: A CENTER-TBI study, eBioMedicine, 2022
2020 (1)
- Miguel Monteiro, Virginia F. J. Newcombe, Francois Mathieu, Krishma Adatia, Konstantinos Kamnitsas, Enzo Ferrante, Tilak Das, Daniel Whitehouse, Daniel Rueckert, David K. Menon, Ben Glocker, Multi-class semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning – an algorithm development and multi-centre validation study, The Lancet Digital Health, 2020
2019 (2)
- Qi Dou, Daniel C. Castro, Konstantinos Kamnitsas, Ben Glocker, Domain Generalization via Model-Agnostic Learning of Semantic Features, Advances in Neural Information Processing Systems (NeurIPS), 2019
- Zeju Li, Konstantinos Kamnitsas, Ben Glocker, Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019