El. knyga: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis: 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings

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 estimation.- CAS-Net: Conditional
Atlas Generation and Brain Segmentation for Fetal MRI.- Detection of Injury
and Automated Triage of Preterm Neonatal MRI using Patch-Based Gaussian
Processes.- Assessment of Regional Cortical Development through Fissure Based
Gestational Age Estimation in 3D Fetal Ultrasound.- Texture-based Analysis of
Fetal Organs in Fetal Growth Restriction.- Distributionally Robust
Segmentation of Abnormal Fetal Brain 3D MRI.- Analysis of the Anatomical
Variability of Fetal Brains with Corpus Callosum Agenesis.- Predicting
preterm birth using multimodal fetal imaging.