Michael Dayan

发表

Estimating function from structure in epileptics using graph diffusion model

Farras Abdelnour, Ashish Raj, Michael Dayan, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Deep 2D Encoder-Decoder Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation in Brain MRI

Vittorio Murino, Diego Sona, Michael Dayan, 2018, BrainLes@MICCAI.

Functional brain connectivity is predictable from anatomic network's Laplacian eigen-structure

Farras Abdelnour, Ashish Raj, Michael Dayan, 2018, NeuroImage.

Consensus between Pipelines in Structural Brain Networks

M. Jorge Cardoso, Marc Modat, Fani Deligianni, 2014, PloS one.

Unsupervised Detection of White Matter Fiber Bundles with Stochastic Neural Networks

Vittorio Murino, Diego Sona, Michael Dayan, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Alzheimer's Disease Prediction Based on Machine Learning Methods Applied to Multimodal MR Features

Barbara Spanò, Marco Bozzali, Mara Cercignani, 2013 .

Geodesic Clustering of Positive Definite Matrices For Classification of Mental Disorder Using Brain Functional Connectivity

Diego Sona, Michael Dayan, Jacopo Tessadori, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Comparison Of Brain Connectomes Using Geodesic Distance On Manifold: A Twins Study

Vittorio Murino, Vaibhav A. Diwadkar, Diego Sona, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Multi-branch convolutional neural network for multiple sclerosis lesion segmentation

Maria Assunta Rocca, Vittorio Murino, Diego Sona, 2018, NeuroImage.

Estimating brain's functional graph from the structural graph's Laplacian

Farras Abdelnour, Ashish Raj, Michael Dayan, 2015, SPIE Optical Engineering + Applications.

Encoding Brain Networks Through Geodesic Clustering of Functional Connectivity for Multiple Sclerosis Classification

Sebastiano Vascon, Massimo Filippi, Paola Valsasina, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Measurements and models of electric fields in the in vivo human brain during transcranial electric stimulation

Lucas C. Parra, Michael Dayan, Orrin Devinsky, 2017, Brain Stimulation.

Tractography of the optic radiation: a repeatability and reproducibility study

Chris A Clark, Michael Dayan, Sylvia Kreutzer, 2015, NMR in biomedicine.

MRI Analysis of White Matter Myelin Water Content in Multiple Sclerosis: A Novel Approach Applied to Finding Correlates of Cortical Thinning

Michael Dayan, Susan A. Gauthier, Ashish Raj, 2017, Front. Neurosci..

Impact of cerebellar atrophy on cortical gray matter and cerebellar peduncles as assessed by voxel-based morphometry and high angular resolution diffusion imaging.

Marco Bozzali, Mara Cercignani, Michael Dayan, 2016, Functional neurology.

Impact of cerebellar atrophy on cortical grey matter and cerebellar peduncles as assessed by voxel based morphometry and diffusion imaging

Marco Bozzali, Michael Dayan, Marco Molinari, 2012 .

Optic radiation structure and anatomy in the normally developing brain determined using diffusion MRI and tractography

Martin J. Chadwick, Michael Dayan, Faraneh Vargha-Khadem, 2013, Brain Structure and Function.

Correction: Measurements and models of electric fields in the in vivo human brain during transcranial electric stimulation

Lucas C Parra, Michael Dayan, Orrin Devinsky, 2018, eLife.

Principal Networks

Michael Dayan, Jonathan D. Clayden, Chris A. Clark, 2013, PloS one.

Profilometry: A new statistical framework for the characterization of white matter pathways, with application to multiple sclerosis

Michael Dayan, Susan A. Gauthier, Ashish Raj, 2016, Human brain mapping.

Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python

Daniel S. Margulies, Julia M. Huntenburg, Satrajit S. Ghosh, 2011, Front. Neuroinform..