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Medical Image Analysis Laboratory

Medical Image Analysis Laboratory

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    • Meritxell Bach Cuadra
    • Hélène Lajous
    • João Jorge
    • Thomas Sanchez
    • Yasser Alemán-Gómez
    • Andrés le Boeuf Fló
    • Cristina Sainz Martinez
    • Hamza Kebiri
    • Jaime Barranco
    • Joe Najm
    • Nataliia Molchanova
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    • Miguel Díaz-Cacho Dafonte
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      • Super-Resolution T2w Foetal Brain MRI for Computer Assisted Diagnosis and Quantitative Analysis
      • Super-resolution reconstruction of in vivo brain diffusion MRI
      • Quantitative MR Imaging (qMRI) of the in vivo fetal brain
      • MSxplain
      • Machine learning methods for 3T & 7T MRI analysis of white matter and cortical lesions in Multiple Sclerosis
      • Structural analysis of the thalamic nuclei in early psychosis and schizophrenia
      • Targeting the venture-intermediate thalamic nucleus at 3T and 7T MRI
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segmentation

New paper: Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE

Meritxell Bach Cuadra News, Open data, Scientific publication, Software, Work news 8 July 20208 July 20203T, cortical lesions, MP2RAGE, multiplesclerosis, open access, segmentation, Software, white matter lesions

New accepted paper in NeuroImage: Clinical by F. La Rosa and co-authors on automated cortical and white matter lesions in multiple sclerosis at 3T.

Pre-print of the paper here
Software available here

New paper: Quantification in Musculoskeletal Imaging Using Computational Analysis and Machine Learning: Segmentation and Radiomics

Meritxell Bach Cuadra News, Scientific publication, Work news 30 March 202030 March 2020musculoskeletal, radiomics, scientificarticle, segmentation

New published paper in “Seminars in Musculoskeletal Radiology” reviewing Machine Learning Segmentation and Radiomics in Musculoskeletal Imaging. This work is in collaboration with J. Favre and P. Omoumi (CHUV).

Read the paper here.

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