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Results
Found 21 publication records. Showing 21 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
1 | Xiaodan Xing, Lili Jin, Qinfeng Li, Lei Chen, Zhong Xue, Ziwen Peng, Feng Shi 0001, Dinggang Shen |
Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences. |
UNSURE/GRAIL@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
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1 | Karthik Gopinath, Christian Desrosiers, Herve Lombaert |
Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation. |
UNSURE/GRAIL@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
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1 | 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 |
DBLP DOI BibTeX RDF |
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1 | 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 |
DBLP DOI BibTeX RDF |
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1 | Daniel Grzech, Bernhard Kainz, Ben Glocker, Loïc Le Folgoc |
Image Registration via Stochastic Gradient Markov Chain Monte Carlo. |
UNSURE/GRAIL@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
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1 | 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 |
DBLP DOI BibTeX RDF |
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1 | 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 |
DBLP DOI BibTeX RDF |
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1 | Christian Payer, Martin Urschler, Horst Bischof, Darko Stern |
Uncertainty Estimation in Landmark Localization Based on Gaussian Heatmaps. |
UNSURE/GRAIL@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
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1 | 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 |
DBLP DOI BibTeX RDF |
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1 | 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 |
DBLP DOI BibTeX RDF |
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1 | 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 |
DBLP DOI BibTeX RDF |
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1 | 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 |
DBLP DOI BibTeX RDF |
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1 | Markus Lindén, Azat Garifullin, Lasse Lensu |
Weight Averaging Impact on the Uncertainty of Retinal Artery-Venous Segmentation. |
UNSURE/GRAIL@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
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1 | Ugur Demir, Mohammed Amine Gharsallaoui, Islem Rekik |
Clustering-Based Deep Brain MultiGraph Integrator Network for Learning Connectional Brain Templates. |
UNSURE/GRAIL@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
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1 | Jayaraman J. Thiagarajan, Bindya Venkatesh, Deepta Rajan, Prasanna Sattigeri |
Improving Reliability of Clinical Models Using Prediction Calibration. |
UNSURE/GRAIL@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
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1 | Carole H. Sudre, Hamid Fehri, Tal Arbel, Christian F. Baumgartner, Adrian V. Dalca, Ryutaro Tanno, Koen Van Leemput, William M. Wells III, Aristeidis Sotiras, Bartlomiej W. Papiez, Enzo Ferrante, Sarah Parisot (eds.) |
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 |
2020 |
DBLP DOI BibTeX RDF |
|
1 | 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 |
DBLP DOI BibTeX RDF |
|
1 | Marc Gantenbein, Ertunc Erdil, Ender Konukoglu |
RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation. |
UNSURE/GRAIL@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
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1 | Max-Heinrich Laves, Malte Tölle, Tobias Ortmaier |
Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior. |
UNSURE/GRAIL@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
1 | 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 |
DBLP DOI BibTeX RDF |
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1 | 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 |
DBLP DOI BibTeX RDF |
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