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Jorney of post-doc AdriĆ  Casamitjana: from signal processing to medical image analysis

May 15, 2024

AdriĆ  Casamitjana (Sant JuliĆ  de Ramis, 1991) is a postdoctoral researcher that joined VICOROB on January ā€˜24 to work on medical image analysis.

He holds a Ph.D in Signal Processing with his thesis on ā€œStudy of early stages of Alzheimer’s disease using magnetic resonance imagingā€ (Dec-’19) under the supervision of Dr. Verónica Vilaplana at Universitat PolitĆØcnica de Catalunya. Prior to that, he obtained a Telecommunications Engineering degree (Universitat PolitĆØcnica de Catalunya, 2009-2015) and a MSc. in Signal Processing (Kungliga Tekniska Hƶgskolan, 2014-2015).

AdriĆ  Casamitjana at the laboratory

During his first postdoctoral stay at University College London (2020-2022), he joined the ERC project ā€œBuilding Next-Generation Computational Tools for High Resolution Neuroimaging Studiesā€ (PI: J.E.Iglesias) . There, he developed NextBrain, a probabilistic atlas from the 3D histology reconstruction of 5 hemispheres containing 333 ground-truth labels – check https://github-pages.ucl.ac.uk/NextBrain/#/home for more details. After that, he was awarded with a ā€œMargarita Salasā€ grant from the Spanish Ministry of Science, University and Innovation that allowed him to visit two different labs at University of Barcelona: BCN-AIM (PI: Karim Lekadir) and BIG (PI: Roser Sala-Llonch). There he investigated the multimodal and longitudinal modeling of different brain diseases.

 

His main interest is in using artificial intelligence tools for image analysis to support decision-making systems. Currently, in VICOROB, he is working on brain image analysis to study dementia-related diseases (Parkinson’s disease, Alzheimer’s disease, etc.), with focus on image fusion methods for multimodal analysis. Moreover, in collaboration with the Hospital Clinic de Barcelona, he is working on AI-based tools for automatisation of routine clinical processes.

Researchers from the medical imaging laboratory of the VICOROB group

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