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ORCIDGRAIL/Beyond-MIC@MICCAI 2018: Granada, Spain
- Danail Stoyanov, Zeike Taylor, Enzo Ferrante, Adrian V. Dalca, Anne L. Martel, Lena Maier-Hein, Sarah Parisot, Aristeidis Sotiras, Bartlomiej W. Papiez, Mert R. Sabuncu, Li Shen:
Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities - Second International Workshop, GRAIL 2018 - and - First International Workshop, Beyond MIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings. Lecture Notes in Computer Science 11044, Springer 2018, ISBN 978-3-030-00688-4
Proceedings of the Second Workshop on GRaphs in biomedicAl Image anaLysis
- Salim Arslan, Sofia Ira Ktena, Ben Glocker, Daniel Rueckert:
Graph Saliency Maps Through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity. 3-13 - Yusuf Osmanlioglu
, Birkan Tunç, Jacob A. Alappatt, Drew Parker, Junghoon Kim, Ali Shokoufandeh, Ragini Verma:
A Graph Representation and Similarity Measure for Brain Networks with Nodal Features. 14-23 - Gerome Vivar, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi:
Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion. 24-31 - Hazal Mogultay, Fatos Tünay Yarman Vural:
BrainParcel: A Brain Parcellation Algorithm for Cognitive State Classification. 32-42 - Baran Baris Kivilcim, Itir Önal Ertugrul, Fatos Tünay Yarman Vural:
Modeling Brain Networks with Artificial Neural Networks. 43-53
Proceedings of the First Workshop Beyond MIC: Integrating Imaging and Non-imaging Modalities for Healthcare Challenges
- Yingying Zhu, Mert R. Sabuncu:
A Bayesian Disease Progression Model for Clinical Trajectories. 57-65 - Wenxing Hu, Biao Cai, Vince D. Calhoun, Yu-Ping Wang:
Multi-modal Brain Connectivity Study Using Deep Collaborative Learning. 66-73 - Diana O. Svaldi, Joaquín Goñi, Apoorva Bharthur Sanjay, Enrico Amico, Shannon L. Risacher, John D. West, Mario Dzemidzic, Andrew J. Saykin, Liana G. Apostolova:
Towards Subject and Diagnostic Identifiability in the Alzheimer's Disease Spectrum Based on Functional Connectomes. 74-82 - Yaroslav Shmulev, Mikhail Belyaev:
Predicting Conversion of Mild Cognitive Impairments to Alzheimer's Disease and Exploring Impact of Neuroimaging. 83-91 - Jamie D. Feusner, Wesley T. Kerr, Teena D. Moody, Aifeng F. Zhang, Mark S. Cohen, Alex D. Leow, Michael A. Strober, Don A. Vaughn:
Cross-diagnostic Prediction of Dimensional Psychiatric Phenotypes in Anorexia Nervosa and Body Dysmorphic Disorder Using Multimodal Neuroimaging and Psychometric Data. 92-99
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