Abstract is missing.
- Image Registration via Stochastic Gradient Markov Chain Monte CarloDaniel Grzech, Bernhard Kainz, Ben Glocker, Loïc Le Folgoc. 3-12 [doi]
- RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image SegmentationMarc Gantenbein, Ertunc Erdil, Ender Konukoglu. 13-22 [doi]
- Hierarchical Brain Parcellation with UncertaintyMark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, Manuel Jorge Cardoso. 23-31 [doi]
- Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class SegmentationRobin Camarasa, Daniel Bos, Jeroen Hendrikse, Paul H. J. Nederkoorn, M. Eline Kooi, Aad van der Lugt, Marleen de Bruijne. 32-41 [doi]
- Uncertainty Estimation in Landmark Localization Based on Gaussian HeatmapsChristian Payer, Martin Urschler, Horst Bischof, Darko Stern. 42-51 [doi]
- Weight Averaging Impact on the Uncertainty of Retinal Artery-Venous SegmentationMarkus Lindén, Azat Garifullin, Lasse Lensu. 52-60 [doi]
- Improving Pathological Distribution Measurements with Bayesian UncertaintyKa Ho Tam, Korsuk Sirinukunwattana, Maria F. Soares, Maria Kaisar, Rutger Ploeg, Jens Rittscher. 61-70 [doi]
- Improving Reliability of Clinical Models Using Prediction CalibrationJayaraman J. Thiagarajan, Bindya Venkatesh, Deepta Rajan, Prasanna Sattigeri. 71-80 [doi]
- Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image PriorMax-Heinrich Laves, Malte Tölle, Tobias Ortmaier. 81-96 [doi]
- Uncertainty Estimation for Assessment of 3D US Scan Adequacy and DDH Metric ReliabilityArunkumar Kannan, Antony J. Hodgson, Kishore Mulpuri, Rafeef Garbi. 97-105 [doi]
- Clustering-Based Deep Brain MultiGraph Integrator Network for Learning Connectional Brain TemplatesUgur Demir, Mohammed Amine Gharsallaoui, Islem Rekik. 109-120 [doi]
- Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI SequencesXiaodan Xing, Lili Jin, Qinfeng Li, Lei Chen, Zhong Xue, Ziwen Peng, Feng Shi, Dinggang Shen. 121-130 [doi]
- Graph Matching Based Connectomic Biomarker with Learning for Brain DisordersRui Sherry Shen, Jacob A. Alappatt, Drew Parker, Junghoon Kim, Ragini Verma, Yusuf Osmanlioglu. 131-141 [doi]
- Multi-scale Profiling of Brain Multigraphs by Eigen-Based Cross-diffusion and Heat Tracing for Brain State ProfilingMustafa Saglam, Islem Rekik. 142-151 [doi]
- Graph Domain Adaptation for Alignment-Invariant Brain Surface SegmentationKarthik Gopinath, Christian Desrosiers, Herve Lombaert. 152-163 [doi]
- Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm BirthHassna Irzan, Lucas Fidon, Tom Vercauteren, Sébastien Ourselin, Neil Marlow, Andrew Melbourne. 164-173 [doi]
- Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical SurfaceVitalis Vosylius, Andy Wang, Cemlyn Waters, Alexey Zakharov, Francis Ward, Loïc Le Folgoc, John Cupitt, Antonios Makropoulos, Andreas Schuh, Daniel Rueckert, Amir Alansary. 174-186 [doi]
- The GraphNet Zoo: An All-in-One Graph Based Deep Semi-supervised Framework for Medical Image ClassificationMarianne de Vriendt, Philip Sellars, Angelica I. Avilés-Rivero. 187-197 [doi]
- Intraoperative Liver Surface Completion with Graph Convolutional VAESimone Foti, Bongjin Koo, Thomas Dowrick, João Ramalhinho, Moustafa Allam, Brian R. Davidson, Danail Stoyanov, Matthew J. Clarkson. 198-207 [doi]
- HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image ClassificationPushpak 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. 208-219 [doi]