 Hierarchical Uncertainty Estimation for Learning-based Registration in NeuroimagingInternational Conference on Learning Representations (ICLR), 2024 |
 Less is More: Surgical Phase Recognition from Timestamp SupervisionIEEE Transactions on Medical Imaging (IEEE TMI), 2022 |
 Robustness via Uncertainty-aware Cycle ConsistencyNeural Information Processing Systems (NeurIPS), 2021 |
 Uncertainty-Guided Progressive GANs for Medical Image TranslationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021 |
 Sparse Uncertainty Representation in Deep Learning with Inducing WeightsNeural Information Processing Systems (NeurIPS), 2021 |
 Recalibration of Aleatoric and Epistemic Regression Uncertainty in
Medical ImagingMachine Learning for Biomedical Imaging (MLBI), 2021 |
 Stochastic Segmentation Networks: Modelling Spatially Correlated
Aleatoric UncertaintyNeural Information Processing Systems (NeurIPS), 2020 |
 Learning to Predict Error for MRI ReconstructionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020 |
 Knowledge Transfer between Datasets for Learning-based Tissue
Microstructure EstimationIEEE International Symposium on Biomedical Imaging (ISBI), 2019 |
 Multi-Stage Prediction Networks for Data HarmonizationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019 |
 As easy as 1, 2... 4? Uncertainty in counting tasks for medical imagingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019 |
 Supervised Uncertainty Quantification for Segmentation with Multiple
AnnotationsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019 |
 Direct Uncertainty Prediction for Medical Second OpinionsInternational Conference on Machine Learning (ICML), 2018 |
