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ORCID3rd CNI@MICCAI 2019: Shenzhen, China
- Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Ai Wern Chung:
Connectomics in NeuroImaging - Third International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Lecture Notes in Computer Science 11848, Springer 2019, ISBN 978-3-030-32390-5 - Zhongwei Huang, Haijun Lei, Guoliang Chen, Shiqi Li, Hancong Li, Ahmed El-Azab
, Baiying Lei:
Unsupervised Feature Selection via Adaptive Embedding and Sparse Learning for Parkinson's Disease Diagnosis. 1-9 - Naresh Nandakumar, Komal Manzoor, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair, Archana Venkataraman:
A Novel Graph Neural Network to Localize Eloquent Cortex in Brain Tumor Patients from Resting-State fMRI Connectivity. 10-20 - Oumaima Ben Khelifa, Islem Rekik:
Graph Morphology-Based Genetic Algorithm for Classifying Late Dementia States. 21-31 - Nicolas Honnorat, Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl:
Covariance Shrinkage for Dynamic Functional Connectivity. 32-41 - Moo K. Chung, Linhui Xie, Shih-Gu Huang, Yixian Wang, Jingwen Yan, Li Shen:
Rapid Acceleration of the Permutation Test via Transpositions. 42-53 - Markus D. Schirmer, Ai Wern Chung:
Heat Kernels with Functional Connectomes Reveal Atypical Energy Transport in Peripheral Subnetworks in Autism. 54-63 - Javid Dadashkarimi, Siyuan Gao, Erin Yeagle, Stephanie Noble, Dustin Scheinost:
A Mass Multivariate Edge-wise Approach for Combining Multiple Connectomes to Improve the Detection of Group Differences. 64-73 - Alin Banka, Islem Rekik:
Adversarial Connectome Embedding for Mild Cognitive Impairment Identification Using Cortical Morphological Networks. 74-82 - Ali Shojaee, Kendrick Li, Gowtham Atluri:
A Machine Learning Framework for Accurate Functional Connectome Fingerprinting and an Application of a Siamese Network. 83-94 - Jianfeng Zeng, Anh The Dang, Gowtham Atluri:
Test-Retest Reliability of Functional Networks for Evaluation of Data-Driven Parcellation. 95-105 - Anvar Kurmukov, Yuji Zhao, Ayagoz Mussabaeva, Boris Gutman:
Constraining Disease Progression Models Using Subject Specific Connectivity Priors. 106-116 - Michael Hütel, Michela Antonelli, Jinendra Ekanayake, Sébastien Ourselin, Andrew Melbourne:
Hemodynamic Matrix Factorization for Functional Magnetic Resonance Imaging. 117-125 - Ai Wern Chung, Markus D. Schirmer:
Network Dependency Index Stratified Subnetwork Analysis of Functional Connectomes: An Application to Autism. 126-137
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