UNSURE/GRAIL@MICCAI

Keyphrases

Publications

2020

Xiaodan Xing, Lili Jin, Qinfeng Li, Lei Chen, Zhong Xue, Ziwen Peng, Feng Shi, Dinggang Shen
Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences. UNSURE/GRAIL@MICCAI (2020)
Karthik Gopinath, Christian Desrosiers, Herve Lombaert
Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation. UNSURE/GRAIL@MICCAI (2020)
Robin Camarasa, Daniel Bos, Jeroen Hendrikse, Paul H. J. Nederkoorn, M. Eline Kooi, Aad van der Lugt, Marleen de Bruijne
Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation. UNSURE/GRAIL@MICCAI (2020)
Simone Foti, Bongjin Koo, Thomas Dowrick, João Ramalhinho, Moustafa Allam, Brian R. Davidson, Danail Stoyanov, Matthew J. Clarkson
Intraoperative Liver Surface Completion with Graph Convolutional VAE. UNSURE/GRAIL@MICCAI (2020)
Daniel Grzech, Bernhard Kainz, Ben Glocker, Loïc Le Folgoc
Image Registration via Stochastic Gradient Markov Chain Monte Carlo. UNSURE/GRAIL@MICCAI (2020)
Ka Ho Tam, Korsuk Sirinukunwattana, Maria F. Soares, Maria Kaisar, Rutger Ploeg, Jens Rittscher
Improving Pathological Distribution Measurements with Bayesian Uncertainty. UNSURE/GRAIL@MICCAI (2020)
Arunkumar Kannan, Antony J. Hodgson, Kishore Mulpuri, Rafeef Garbi
Uncertainty Estimation for Assessment of 3D US Scan Adequacy and DDH Metric Reliability. UNSURE/GRAIL@MICCAI (2020)
Christian Payer, Martin Urschler, Horst Bischof, Darko Stern
Uncertainty Estimation in Landmark Localization Based on Gaussian Heatmaps. UNSURE/GRAIL@MICCAI (2020)
Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, Manuel Jorge Cardoso
Hierarchical Brain Parcellation with Uncertainty. UNSURE/GRAIL@MICCAI (2020)
Hassna Irzan, Lucas Fidon, Tom Vercauteren, Sébastien Ourselin, Neil Marlow, Andrew Melbourne
Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth. UNSURE/GRAIL@MICCAI (2020)
Rui Sherry Shen, Jacob A. Alappatt, Drew Parker, Junghoon Kim, Ragini Verma, Yusuf Osmanlioglu
Graph Matching Based Connectomic Biomarker with Learning for Brain Disorders. UNSURE/GRAIL@MICCAI (2020)
Vitalis Vosylius, Andy Wang, Cemlyn Waters, Alexey Zakharov, Francis Ward, Loïc Le Folgoc, John Cupitt, Antonios Makropoulos, Andreas Schuh, Daniel Rueckert, Amir Alansary
Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface. UNSURE/GRAIL@MICCAI (2020)
Markus Lindén, Azat Garifullin, Lasse Lensu
Weight Averaging Impact on the Uncertainty of Retinal Artery-Venous Segmentation. UNSURE/GRAIL@MICCAI (2020)
Ugur Demir, Mohammed Amine Gharsallaoui, Islem Rekik
Clustering-Based Deep Brain MultiGraph Integrator Network for Learning Connectional Brain Templates. UNSURE/GRAIL@MICCAI (2020)
Jayaraman J. Thiagarajan, Bindya Venkatesh, Deepta Rajan, Prasanna Sattigeri
Improving Reliability of Clinical Models Using Prediction Calibration. UNSURE/GRAIL@MICCAI (2020)
Mustafa Saglam, Islem Rekik
Multi-scale Profiling of Brain Multigraphs by Eigen-Based Cross-diffusion and Heat Tracing for Brain State Profiling. UNSURE/GRAIL@MICCAI (2020)
Marc Gantenbein, Ertunc Erdil, Ender Konukoglu
RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation. UNSURE/GRAIL@MICCAI (2020)
Max-Heinrich Laves, Malte Tölle, Tobias Ortmaier
Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior. UNSURE/GRAIL@MICCAI (2020)
Marianne de Vriendt, Philip Sellars, Angelica I. Avilés-Rivero
The GraphNet Zoo: An All-in-One Graph Based Deep Semi-supervised Framework for Medical Image Classification. UNSURE/GRAIL@MICCAI (2020)
Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes, Antonio Foncubierta-Rodríguez, Florinda Feroce, Anna Maria Anniciello, Giosue Scognamiglio, Nadia Brancati, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Orcun Goksel, Jean-Philippe Thiran, Maria Frucci, Maria Gabrani
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification. UNSURE/GRAIL@MICCAI (2020)

volume 12443, 2020

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 UNSURE/GRAIL@MICCAI 12443 (2020)