uncertainty for safe utilization of machine learning in

4
Carole H. Sudre - Hamid Fehri et al. (Eds.) Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analyss Second International Workshop, UNSURE 2020 and Third International Workshop, GRAIL 2020 Held in Conjunction with MICCAI 2020 Lima, Peru, October 8, 2020 Proceedings X Springer

Upload: others

Post on 23-Oct-2021

1 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Uncertainty for Safe Utilization of Machine Learning in

Carole H. Sudre - Hamid Fehri et al. (Eds.)

Uncertainty for Safe Utilizationof Machine Learning in MedicalImaging, and Graphsin Biomedical Image AnalyssSecond International Workshop, UNSURE 2020and Third International Workshop, GRAIL 2020Held in Conjunction with MICCAI 2020Lima, Peru, October 8, 2020Proceedings

X Springer

Page 2: Uncertainty for Safe Utilization of Machine Learning in

Contents

UNSURE 2020

Image Registration via Stochastic Gradient Markov Chain Monte Carlo. .... .Daniel Grzech, Bernhard Kainz, Ben Glocker, and Loic le Folgoc

RevPHiSeg: A Memory-Efficient Neural Network for UncertaintyQuantification in Medical Image Segmentation . . . . D. rne -3

Marc Gantenbein, Ertunc Erdil, and Ender Konukoglu

Hierarchical Brain Parcellation with Uncertainty . . . ls rn 23

Mark S. Graham, Carole H. Sudre, Thomas Varsavsky,Petru-Daniel Tudosiu, Parashkev Nachev, Sebastien Ourselin,and M. Jorge Cardoso

Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measuresfor Multi-class Segmentation . . . RE

Robin Camarasa, Daniel Bos, Jeroen Hendrikse, Paul Nederkoorn,Eline Kooi, Aad van der Lugt, and Marleen de Bruijne

Uncertainty Estimation in Landmark Localization Basedon Gaussian Heatmaps. .... ls !

Christian Payer, Martin Urschler, Horst Bischof, and Darko Stern

Weight Averaging Impact on the Uncertainty of RetinalArtery-Venous Segmentation ..... Dl

Markus Lindén, Azat Garifullin, and Lasse Lensu

Improving Pathological Distribution Measurementswith Bayesian Uncertainty . . . . .

Ka Ho Tam, Korsuk Sirinukunwattana, Maria F. Soares, Maria Kaisar,Rutger Ploeg, and Jens Rittscher

Improving Reliability of Clinical Models Using Prediction Calibration. . . . . . 7!

Jayaraman J. Thiagarajan, Bindya Venkatesh, Deepta Rajan,and Prasanna Sattigeri

Uncertainty Estimation in Medical Image Denoising with Bayesian DeepImage Prior |... ll

Max-Heinrich Laves, Malte Tolle, and Tobias Ortmaier

1-

3-

32

42

52

61

81

Page 3: Uncertainty for Safe Utilization of Machine Learning in

Cont: UT 3

Uncertainty Estimation for Assessment of 3D US Scan Adequacyand DDH Metric Reliability . . . A

Arunkumar Kannan, Antony Hodgson, Kishore Mulpuri,and Rafeef Garbi

GRAIL 2020

Clustering-Based Deep Brain MultiGraph Integrator Network for LearningConnectional Brain Templates . . . .

Ugur Demir, Mohammed Amine Gharsallaoui, and Islem Rekik

Detection of Discriminative Neurological Circuits Using HierarchicalGraph Convolutional Networks in fMRI Sequences. . 012

Xiaodan Xing, Lili Jin, Qinfeng Li, Lei Chen, Zhong Xue, Ziwen Peng,Feng Shi, and Dinggang Shen

Graph Matching Based Connectomic Biomarker with Learningfor Brain Disorders . . . . . E

Rui Sherry Shen, Jacob A. Alappatt, Drew Parker, Junghoon Kim,Ragini Verma, and Yusuf Osmanlioglu

Multi-scale Profiling of Brain Multigraphs by Eigen-Based Cross-diffusionand Heat Tracing for Brain State Profiling ..... .... 20.0.0 142

Mustafa Saglam and Islem Rekik

Graph Domain Adaptation for Alignment-Invariant BrainSurface Segmentation ...... . MEE -

Karthik Gopinath, Christian Desrosiers, and Herve Lombaert

Min-Cut Max-Flow for Network Abnormality Detection: Applicationto Preterm Birth ...... EM

Hassna Irzan, Lucas Fidon, Tom Vercauteren, Sebastien Ourselin,Neil Marlow, and Andrew Melbourne

Geometric Deep Learning for Post-Menstrual Age Prediction Basedon the Neonatal White Matter Cortical Surface. ..... 2e... 174

Vitalis Vosylius, Andy Wang, Cemlyn Waters, Alexey Zakharov,Francis Ward, Loic Le Folgoc, John Cupitt, Antonios Makropoulos,Andreas Schuh, Daniel Rueckert, and Amir Alansary

The GraphNet Zoo: An All-in-One Graph Based Deep Semi-supervisedFramework for Medical Image Classification ... 2s s sz

Marianne de Vriendt, Philip Sellars, and Angelica I. Aviles-Rivero

xvi "tents

97

109

"n

131

152

164

1R7

Page 4: Uncertainty for Safe Utilization of Machine Learning in

Contents :

Intraoperative Liver Surface Completion with Graph Convolutional VAE. . . .Simone Foti, Bongjin Koo, Thomas Dowrick, Jodo Ramalhinho,Moustafa Allam, Brian Davidson, Danail Stoyanov,and Matthew J. Clarkson

HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Networkfor Histopathological Image Classification . . Ce

Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes,Antonio Foncubierta-Rodriguez, 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, and Maria Gabrani

Author Index .............. ..... 11220 MN 27

TX xvi

198

208

271