Understanding the brain is one of the big challenges of the third millennium. Our leverage is a joint effort of neuroscientists, clinicians and computer scientists. The improvement of neuroimaging analysis is our contribution to help deal with brain disorders. Artificial Intelligence is the way to learn from brain data.
The Neuroinformatics Laboratory (NILab) rises as a collaborative initiative between the Centre for Augmented Intelligence of Fondazione Bruno Kessler and the Centre for Mind and Brain Sciences of the University of Trento in order to promote interdisciplinary research in cognitive neuroscience.
Neuroinformatics stands at the intersection of neuroscience and computer science, and it provides theories and technologies for managing, analyzing, and modeling data collected with modern instruments of brain inspection used within the neuroscience community.
The research activity covers mostly the design and the development of novel computational models for the integration, analysis, and interpretation of unimodal and multimodal brain-imaging data. The research interests include the translation of results to clinical neuroscience.
Paolo Avesani presents the work "Semisupervised learning of tractogram alignment driven by fiber correspondence" at the event Organization for Human Brain Mapping (OHBM) in Brisbane.
25 June 2025Ludovico Coletta gives a talk on "Integrating intracranial stimulation with brain connectivity in language impairment and recovery" at the event Organization for Human Brain Mapping (OHBM) in Brisbane.
18 April 2025The paper “Can Transfer Learning Improve Supervised Segmentation of White Matter Bundles in Glioma Patients?” by Chiara Riccardi is published on Lecture Notes in Computer Science.
18 April 2025Ludovico Coletta gives a talk on "Foundation models in AI - Principles, possible applications and why should we pay attention" at the Swiss Federal Office for Public Health.
4 April 2025Ludovico Coletta is awarded with an innovation grant by POC for a tool of white matter bundle segmentation.
12 March 2025Alberto Spolverato defends his Master’s Thesis in Cognitive Science titled “Deep learning based segmentation of resection cavities in glioma patients”.
9 January 2025The book chapter “Dissecting white matter pathways: Automatic and semiautomatic approaches” in collaboration with Eleftherios Garyfallidis is published in the Handbook of Diffusion MR Tractography.
7 December 2024The paper “Changing the Paradigm for Tractography Segmentation in Neurosurgery: Validation of a Streamline-Based Approach” in collaboration with Laura Vavassori is published on Brain Sciences.
29 November 2024Paolo Avesani gives an invited talk on "AI and Brain Connectivity" at the event Rehabilitation Medicine Research and Innovation in Lecco.
