Principal Investigator: Ben Glocker
Recent Papers
- Glocker et al. (2023) Algorithmic encoding of protected characteristics in chest X-ray disease detection models
- Monteiro et al. (2023) Measuring axiomatic soundness of counterfactual image models
- Li et al. (2023) Context Label Learning: Improving Background Class Representations in Semantic Segmentation
- Langley et al. (2022) Structured Uncertainty in the Observation Space of Variational Autoencoders
- Bernhardt et al. (2022) Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed
- Bernhardt et al. (2022) Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms
- Liu et al. (2022) The medical algorithmic audit
- Bernhardt et al. (2022) Active label cleaning for improved dataset quality under resource constraints
- Sinclair et al. (2022) Atlas-ISTN: Joint segmentation and registration and atlas construction with image-and-spatial transformer networks
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