DeepDisco: A Deep Learning Tool for Rapid Brain Connectivity Estimation
Anna MatsulevitsiD, Thomas TourdiasiD, Michel Thiebaut de SchotteniD
Abstract
DeepDisco is a cross-platform software that uses deep learning to rapidly predict brain connectivity maps from binary regions or lesions. It offers a user-friendly and scriptable interface, making indirect connectivity analysis accessible for large datasets and scalable for AI frameworks.
02 /Specification & Classification
Click any tag to browse matching papersReproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Deep Learning disconnectomes to accelerate and improve long-term predictions for post-stroke symptoms
Anna Matsulevits, Pierrick Coupé A, … Michel Thiebaut de Schotten·Brain CommunicationsPeer-reviewed·Jan 1, 2024
- Optimized implementations of voxel-wise degree centrality and local functional connectivity density mapping in AFNI
Richard Cameron Craddock, Daniel J. Clark·GigaSciencePeer-reviewed·Nov 1, 2016
- DNNBrain: a unifying toolbox for mapping deep neural networks and brains
Xiayu S. Chen, Ming Quan Zhou, … Jia Liu B·Frontiers in Computational NeurosciencePeer-reviewed·Nov 30, 2020
- The Connectome Interpreter Toolkit
Yijie Yin, Judith Hoeller, … Albert Cardona·bioRxiv·Sep 29, 2025
- DCP: a pipeline toolbox for diffusion connectome
Weijie Huang, Xinyi Dong, … Ni Shu·Human Brain MappingPeer-reviewed·Feb 15, 2024
- DMC-BrainMap - an open-source, end-to-end tool for multi-feature brain mapping across species
Felix Jung, Xiao Cao, … Marie Carlén·bioRxiv·Feb 19, 2025