| 2025 | MICCAI | Calibrated Self-supervised Vision Transformers Improve Intracranial Arterial Calcification Segmentation from Clinical CT Head Scans. | Benjamin Jin, Grant Mair, Joanna M. Wardlaw, Maria del C. Valds Hernndez |
| 2024 | MICCAI | Pre-processing and Quality Control of Large Clinical CT Head Datasets for Intracranial Arterial Calcification Segmentation. | Benjamin Jin, Maria del C. Valds Hernndez, Alessandro Fontanella, Wenwen Li, Eleanor Platt, Paul A. Armitage, Amos J. Storkey, Joanna M. Wardlaw, Grant Mair |
| 2023 | MICCAI | Proper Scoring Loss Functions Are Simple and Effective for Uncertainty Quantification of White Matter Hyperintensities. | Ben Philps, Maria del C. Valds Hernndez, Miguel Bernabeu Llinares |
| 2021 | MICCAI | Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution. | Muhammad Febrian Rachmadi, Maria del C. Valds Hernndez, Rizal Maulana, Joanna M. Wardlaw, Stephen D. Makin, Henrik Skibbe |
| 2019 | MICCAI | Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map. | Muhammad Febrian Rachmadi, Maria del C. Valds Hernndez, Stephen D. Makin, Joanna M. Wardlaw, Taku Komura |
| 2018 | MICCAI | Automatic Irregular Texture Detection in Brain MRI Without Human Supervision. | Muhammad Febrian Rachmadi, Maria del C. Valds Hernndez, Taku Komura |
| 2018 | MICCAI | Transfer Learning for Task Adaptation of Brain Lesion Assessment and Prediction of Brain Abnormalities Progression/Regression Using Irregularity Age Map in Brain MRI. | Muhammad Febrian Rachmadi, Maria del C. Valds Hernndez, Taku Komura |
| 2016 | MICCAI | Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation. | Christopher Bowles, Chen Qin, Christian Ledig, Ricardo Guerrero, Roger N. Gunn, Alexander Hammers, Eleni Sakka, David Alexander Dickie, Maria del C. Valds Hernndez, Natalie A. Royle, Joanna M. Wardlaw, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Frederik Barkhof, Philip Scheltens, Daniel Rueckert |