Program Schedule
7:30 – 8:00 am: Registration, speaker check-in, and poster setup
8:00 – 8:05 am: Opening Remarks
8:05 - 9:05 am: Keynote Speaker
Dr. Moo Chung, Associate Professor, Department of Biostatistics and Medical Informatics at the University of Wisconsin-Madison
9:10 – 9:40 am: Oral Presentation #O1
9:40 – 10:30 am: Coffee break and poster session
10:30 - 11:30 am: Keynote Speaker
Dr. Bharat Biswal, Professor and Chair of the Department of Biomedical Engineering at the Newark College of Engineering
11:35 am – 12:05 pm: Oral Presentation #O2
12:05 – 1:30 pm: Lunch and poster presentation
1:30 - 2:30 pm: Keynote Speaker
Dr. Chris Rorden, Professor and SmartState endowed chair of neuroimaging in the Department of Psychology at the University of South Carolina, and co-director for the McCausland Center for Brain Imaging.
2:35 – 3:05 pm: Oral Presentation #O3
3:05 – 3:35 pm: Oral Presentation #O4
3:35 – 4:00 pm: Coffee break and poster session
4:00 - 5:00 pm: Keynote Speaker
Dr. Boris Bernhardt, Assistant Professor of Neurology and Neurosurgery at the Montreal Neurological Institute (MNI)
5:00 – 5:30 pm: Closing remarks and best paper award
Oral Presentations
# | Title | Authors |
---|---|---|
O1 | High-order Connectomic Manifold Learning for Autistic Brain State Identification | Mayssa Soussia and Islem Rekik |
O2 | Evaluating Acquisition Time of rfMRI in the Human Connectome Project for Early Psychosis. How much is enough? | Sylvain Bouix, Sophia Swago, John D. West, Ofer Pasternak, Alan Breier, and Martha E. Shenton |
O3 | A Unified Bayesian Approach to Extract Network-Based Functional Differences from a Heterogeneous Patient Cohort | Archana Venkataraman, Nicholas Wymbs, Mary Beth Nebel, and Stewart Mostofsky |
O4 | Revisiting Abnormalities in Brain Network Architecture Underlying Autism Using Topology-Inspired Statistical Inference | Sourabh Palande, Vipin Jose, Brandon Zielinski, Jeffrey Anderson, P. Thomas Fletcher, and Bei Wang |
Poster Presentations
W# (On Poster Board at Workshop) | P# | Title | Authors |
---|---|---|---|
W227 | P1 | Connectome of Autistic Brains, Global versus Local characterization | Saida S. Saad, Nancy Duong Nguyen Clarke, Eiko Yoneki, and Alessandro Crimi |
W228 | P2 | Constructing Multi-Frequency High-Order Functional Connectivity Network for Diagnosis of Mild Cognitive Impairment | Yu Zhang, Han Zhang, Xiaobo Chen, and Dinggang Shen |
W229 | P3 | Consciousness Level and Recovery Outcome Prediction using High-Order Brain Functional Connectivity Network | Xiuyi Jia, Han Zhang, Ehsan Adeli, and Dinggang Shen |
W230 | P4 | Discriminative log-Euclidean kernels for learning on brain networks | Jonathan Young, Du Lei, and Andrea Mechelli |
W231 | P5 | Interactive Computation and Visualization of Structural Connectomes in Real-Time | Maxime Chamberland, Liam Gray, Maxime Descoteaux, and Derek Jones |
W232 | P6 | Pairing-based Ensemble Classifier Learning using Convolutional Brain Multiplexes and Multi-view Brain Networks for Early Dementia Diagnosis | Anna Lisowska and Islem Rekik |
W233 | P7 | FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from functional MRI | Atif Riaz, Muhammad Asad, S.M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, and Greg Slabaugh |
W234 | P8 | Identifying subnetwork fingerprints in structural connectomes: A data-driven approach | Brent C.Munsell, Eric Hofesmann, John Delgaizo, Martin Styner, and Leonardo Bonilha |
W235 | P9 | A Simple and Efficient Cylinder Imposter Approach to Visualize DTI Fiber Tracts | Lucas L. Nesi, Chris Rorden, and Brent C. Munsell |
W236 | P10 | Early Brain Functional Segregation and Integration Predict Later Cognitive Performance | Han Zhang, Weiyan Yin, Weili Lin, and Dinggang Shen |
W237 | P11 | Measuring Brain Connectivity via Shape Analysis of fMRI Time Courses and Spectra | David S. Lee, Amber Leaver, Katherine L. Narr, Roger P. Woods, and Shantanu H. Joshi |
W238 | P12 | Topological network analysis of electroencephalographic power maps | Yuan Wang, Moo K. Chung, Daniela Dentico, Antoine Lutz, and Richard Davidson |
W239 | P13 | Region-Wise Stochastic Pattern Modeling for Autism Spectrum Disorder Identification and Functional Dynamics Analysis | Eunji Jun and Heung-Il Suk |
W240 | P14 | A Whole-brain Reconstruction Approach for FOD Modeling from Multi-Shell Diffusion MRI | Wei Sun, Junling Li, and Yonggang Shi |
W241 | P15 | Topological Distances between Brain Networks | Moo Chung, Hyekyoung Lee, Victor Solo, Richard J. Davidson, and Seth D. Pollack |