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ORCID2nd CNI@MICCAI 2018: Granada, Spain
- Guorong Wu, Islem Rekik, Markus D. Schirmer, Ai Wern Chung, Brent C. Munsell:
Connectomics in NeuroImaging - Second International Workshop, CNI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings. Lecture Notes in Computer Science 11083, Springer 2018, ISBN 978-3-030-00754-6 - Sharib Ali
, Martin Schober, Philipp Schlömer, Katrin Amunts, Markus Axer, Karl Rohr:
Towards Ultra-High Resolution 3D Reconstruction of a Whole Rat Brain from 3D-PLI Data. 1-10 - Yuchuan Qiao, Wei Sun, Yonggang Shi:
FOD-Based Registration for Susceptibility Distortion Correction in Connectome Imaging. 11-19 - Junyan Wang, Yonggang Shi:
GIFE: Efficient and Robust Group-Wise Isometric Fiber Embedding. 20-28 - Göktekin Durusoy, Abdullah Karaaslanli, Demet Yüksel Dal, Zerrin Yildirim, Burak Acar:
Multi-modal Brain Tensor Factorization: Preliminary Results with AD Patients. 29-37 - Alaa Bessadok, Islem Rekik:
Intact Connectional Morphometricity Learning Using Multi-view Morphological Brain Networks with Application to Autism Spectrum Disorder. 38-46 - Paola Galdi, Manuel Blesa Cabez, Gemma Sullivan, Gillian J. Lamb, David Q. Stoye, Alan J. Quigley, Michael J. Thrippleton, Mark E. Bastin, James P. Boardman:
Neonatal Morphometric Similarity Networks Predict Atypical Brain Development Associated with Preterm Birth. 47-57 - Linhui Xie, Enrico Amico, Paul Salama, Yu-Chien Wu, Shiaofen Fang, Olaf Sporns, Andrew J. Saykin, Joaquín Goñi, Jingwen Yan, Li Shen:
Heritability Estimation of Reliable Connectomic Features. 58-66 - Keri L. Anderson, Jeffrey S. Anderson, Sourabh Palande, Bei Wang:
Topological Data Analysis of Functional MRI Connectivity in Time and Space Domains. 67-77 - Eleanor Wong, Jeffrey S. Anderson, Brandon A. Zielinski, P. Thomas Fletcher:
Riemannian Regression and Classification Models of Brain Networks Applied to Autism. 78-87 - Naresh Nandakumar, Niharika Shimona D'Souza, Jeff Craley, Komal Manzoor, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair, Archana Venkataraman:
Defining Patient Specific Functional Parcellations in Lesional Cohorts via Markov Random Fields. 88-98 - Nicolas Georges, Islem Rekik:
Data-Specific Feature Selection Method Identification for Most Reproducible Connectomic Feature Discovery Fingerprinting Brain States. 99-106 - Kendrick Li, Gowtham Atluri:
Towards Effective Functional Connectome Fingerprinting. 107-116 - Anvar Kurmukov, Ayagoz Musabayeva, Yulia Denisova, Daniel Moyer, Boris Gutman:
Connectivity-Driven Brain Parcellation via Consensus Clustering. 117-126 - Guorong Wu, Brent C. Munsell, Paul J. Laurienti, Moo K. Chung:
GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion. 127-135 - Markus D. Schirmer, Ai Wern Chung:
Structural Subnetwork Evolution Across the Life-Span: Rich-Club, Feeder, Seeder. 136-145
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