Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis

UNSURE 2021 - Uncertainty estimation and modelling and annotation uncertainty.- Model uncertainty estimation for medical Imaging based diagnosis.- Accurate simulation of operating system updates in neuroimaging using Monte-Carlo arithmetic.- Leveraging uncertainty estimates to improve segmentation performance in cardiac MR.- Improving the reliability of semantic segmentation of medical images by uncertainty modelling with Bayesian deep networks and curriculum learning.- Unpaired MR image homogeneisation by disentangled representations and its uncertainty.- Uncertainty-aware deep learning based deformable registration.- Monte Carlo Concrete DropPath for Epistemic Uncertainty Estimation in Brain Tumour segmentation.- Improving Aleatoric Uncertainty quantification in multi-annotated medical image segmentation with normalizing flows.- UNSURE 2021 - Domain shift robustness and risk management in clinical pipelines.- Task-agnostic out-of-distribution detection using kernel density estimation.- Out of distribution detection for medical images.- Robust selective classification of skin lesions with asymmetric costs.- Confidence-based Out-of-Distribution detection: a comparative study and analysis.- Novel disease detection using ensembles with regularized disagreement.- PIPPI2021.- Automatic Placenta Abnormality Detection using Convolutional Neural Networks on Ultrasound Texture.- Simulated Half-Fourier Acquisitions Single-shot Turbo Spin Echo (HASTE) of the Fetal Brain: Application to Super-Resolution Reconstruction.- Spatio-temporal atlas of normal fetal craniofacial feature development and CNN-based ocular biometry for motion-corrected fetal MRI.- Myelination of preterm brain networks at adolescence.- A bootstrap self-training method for sequence transfer: State-of-the-art placenta segmentation in fetal MRI.- Segmentation of the cortical plate in fetal brain MRI with a topological loss.- Fetal brain MRI measurements using a deep learning landmark network with reliability