Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis: Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

Front Matter ....Pages i-xvii
Front Matter ....Pages 1-1
 Image Registration via Stochastic Gradient Markov Chain Monte Carlo  (Daniel Grzech, Bernhard Kainz, Ben Glocker, Loïc le Folgoc)....Pages 3-12
 RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation  (Marc Gantenbein, Ertunc Erdil, Ender Konukoglu)....Pages 13-22
 Hierarchical Brain Parcellation with Uncertainty  (Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sebastien Ourselin et al.)....Pages 23-31
 Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation  (Robin Camarasa, Daniel Bos, Jeroen Hendrikse, Paul Nederkoorn, Eline Kooi, Aad van der Lugt et al.)....Pages 32-41
 Uncertainty Estimation in Landmark Localization Based on Gaussian Heatmaps  (Christian Payer, Martin Urschler, Horst Bischof, Darko àtern)....Pages 42-51
 Weight Averaging Impact on the Uncertainty of Retinal Artery-Venous Segmentation  (Markus Lindén, Azat Garifullin, Lasse Lensu)....Pages 52-60
 Improving Pathological Distribution Measurements with Bayesian Uncertainty  (Ka Ho Tam, Korsuk Sirinukunwattana, Maria F. Soares, Maria Kaisar, Rutger Ploeg, Jens Rittscher)....Pages 61-70
 Improving Reliability of Clinical Models Using Prediction Calibration  (Jayaraman J. Thiagarajan, Bindya Venkatesh, Deepta Rajan, Prasanna Sattigeri)....Pages 71-80
 Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior  (Max-Heinrich Laves, Malte Tölle, Tobias Ortmaier)....Pages 81-96
 Uncertainty Estimation for Assessment of 3D US Scan Adequacy and DDH Metric Reliability  (Arunkumar Kannan, Antony Hodgson, Kishore Mulpuri, Rafeef Garbi)....Pages 97-105
Front Matter ....Pages 107-107
 Clustering-Based Deep Brain MultiGraph Integrator Network for Learning Connectional Brain Templates  (Uğur Demir, Mohammed Amine Gharsallaoui, Islem Rekik)....Pages 109-120
 Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences  (Xiaodan Xing, Lili Jin, Qinfeng Li, Lei Chen, Zhong Xue, Ziwen Peng et al.)....Pages 121-130
 Graph Matching Based Connectomic Biomarker with Learning for Brain Disorders  (Rui Sherry Shen, Jacob A. Alappatt, Drew Parker, Junghoon Kim, Ragini Verma, Yusuf Osmanlıoğlu)....Pages 131-141
 Multi-scale Profiling of Brain Multigraphs by Eigen-Based Cross-diffusion and Heat Tracing for Brain State Profiling  (Mustafa Sağlam, Islem Rekik)....Pages 142-151
 Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation  (Karthik Gopinath, Christian Desrosiers, Herve Lombaert)....Pages 152-163
 Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth  (Hassna Irzan, Lucas Fidon, Tom Vercauteren, Sebastien Ourselin, Neil Marlow, Andrew Melbourne)....Pages 164-173
 Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface  (Vitalis Vosylius, Andy Wang, Cemlyn Waters, Alexey Zakharov, Francis Ward, Loic Le Folgoc et al.)....Pages 174-186
 The GraphNet Zoo: An All-in-One Graph Based Deep Semi-supervised Framework for Medical Image Classification  (Marianne de Vriendt, Philip Sellars, Angelica I. Aviles-Rivero)....Pages 187-197
 Intraoperative Liver Surface Completion with Graph Convolutional VAE  (Simone Foti, Bongjin Koo, Thomas Dowrick, João Ramalhinho, Moustafa Allam, Brian Davidson et al.)....Pages 198-207
 HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification  (Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes, Antonio Foncubierta-Rodríguez, Florinda Feroce, Anna Maria Anniciello et al.)....Pages 208-219
 Correction to: Graph Matching Based Connectomic Biomarker with Learning for Brain Disorders  (Rui Sherry Shen, Jacob A. Alappatt, Drew Parker, Junghoon Kim, Ragini Verma, Yusuf Osmanlıoğlu)....Pages C1-C1
Back Matter ....Pages 221-222