Michael Dayan

According to our database, Michael Dayan authored at least 14 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Ten simple rules for good research practice.

Simon Schwab, Perrine Janiaud, Michael Dayan, Valentin Amrhein, Radoslaw Panczak, Patricia M. Palagi, Lars G. Hemkens, Meike Ramon, Nicolas Rothen, Stephen Senn, Eva Furrer, Leonhard Held

PLoS Comput. Biol., 2022

2021

Algebraic relationship between the structural network's Laplacian and functional network's adjacency matrix is preserved in temporal lobe epilepsy subjects.

Farras Abdelnour, Michael Dayan, Orrin Devinsky, Thomas Thesen, Ashish Raj

NeuroImage, 2021

2020

Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI.

Shahab Aslani, Vittorio Murino, Michael Dayan, Roger C. Tam, Diego Sona, Ghassan Hamarneh

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

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

Muhammad Abubakar Yamin, Jacopo Tessadori, Muhammad Usman Akbar, Michael Dayan, Vittorio Murino, Diego Sona

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

Muhammad Abubakar Yamin, Paola Valsasina, Michael Dayan, Sebastiano Vascon, Jacopo Tessadori, Massimo Filippi, Vittorio Murino, Maria Assunta Rocca, Diego Sona

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Multi-branch convolutional neural network for multiple sclerosis lesion segmentation.

Shahab Aslani, Michael Dayan, Loredana Storelli, Massimo Filippi, Vittorio Murino, Maria Assunta Rocca, Diego Sona

NeuroImage, 2019

Comparison of brain connectomes using geodesic distance on manifold: a twin study.

A. Yamin, Michael Dayan, Letizia Squarcina, Paolo Brambilla, Vittorio Murino, Vaibhav A. Diwadkar, Diego Sona

CoRR, 2019

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

Abubakar Yamin, Michael Dayan, Letizia Squarcina, Paolo Brambilla, Vittorio Murino, Vaibhav A. Diwadkar, Diego Sona

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Analysis of Dynamic Brain Connectivity Through Geodesic Clustering.

A. Yamin, Michael Dayan, Letizia Squarcina, Paolo Brambilla, Vittorio Murino, Vaibhav A. Diwadkar, Diego Sona

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Investigating the Impact of Genetic Background on Brain Dynamic Functional Connectivity Through Machine Learning: A Twins Study.

Muhammad Abubakar Yamin, Michael Dayan, Letizia Squarcina, Vaibhav A. Diwadkar, Paolo Brambilla, Vittorio Murino, Diego Sona

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018

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

Farras Abdelnour, Michael Dayan, Orrin Devinsky, Thomas Thesen, Ashish Raj

NeuroImage, 2018

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

Shahab Aslani, Michael Dayan, Vittorio Murino, Diego Sona

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Unsupervised Detection of White Matter Fiber Bundles with Stochastic Neural Networks.

Michael Dayan, Vasiliki-Maria Katsageorgiou, Luca Dodero, Vittorio Murino, Diego Sona

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2015

Estimating function from structure in epileptics using graph diffusion model.

Farras Abdelnour, Ashish Raj, Michael Dayan, Orrin Devinsky, Thomas Thesen

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015