Easy walk from Chalet-à-Gobet till Lausanne, April 2022
World Archery Excellence Centre (December 2021Lausanne, Switzerland)
Watch the seminar by H. Lajous on “T2 quantification from Super-resolution reconstructed Clinical Fast Spin Echo MR Acquisitions”, part of this seminar shows our recent work accepted to MICCAI 2020.
New paper: Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE
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.
We have accepted two paper for MICCAI 2020 !! Keep posted to know more about 7T MRI segmentation of cortical multiple sclerosis lesions and Super-resolution T2 mapping from clinical fast spin echo MRI. Automated Detection of Cortical Lesions in Multiple
New paper: CVSnet – A machine learning approach for automated central vein sign assessment in multiple sclerosis
New paper accepted in “NMR in Biomedicine” by Pietro Maggi an co-authors on automated central vein sign assessment in multiple sclerosis.
New paper: Improved susceptibility‐weighted imaging for high contrast and resolution thalamic nuclei mapping at 7T
New paper accepted in Magnetic Resonance in Medicine Imaging by João Jorge and co-authors related to several methodological improvements to enhance 7T SWI quality and intensity contrast, specifically for an improved visualisation of the human thalamus.
New paper: Quantification in Musculoskeletal Imaging Using Computational Analysis and Machine Learning: Segmentation and Radiomics
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).
We provide 3T and 7T human brain Magnetic Resonance Imaging for the automated segmentation and functional neurosurgery targeting of the Ventro-intermediate thalamic nucleus. Read more …
This is an open source software for computing the automatic segmentation of eye structures and tumors in 3D Magnetic Resonance Imaging. Read more …
We present an open source multivariate statistical n-classes clustering tool including graph-cuts optimization with specialization to brain Magnetic Resonance imaging. Read more…
We present a semi-supervised segmentation framework for B-mode ultrasound imaging based on image patches. Read more …
Hamza Kebiri will participate at the DIPY workshop, Bloomington – Indiana, USA, 2020 and he will present the foetal diffusion MR image super-resolution reconstruction we are developing in our FNS project. It will be a great opportunity to disseminate our
MIAL will participate with three posters at the European Congress of Magnetic Resonance in Neuropediatrics (ECMRN) that will be held in Marseille from 26 to 29th February ! Amazing pre-congress day including foetal MRI… check their program here.
We provide an in-vivo probabilistic atlas of human thalamic nuclei based on diffusion weighted magnetic resonance imaging in the MNI space. Read more…
The Medical Image Analysis Laboratory Super-resolution toolkit (MIALSRTK) consists of a set of C++ image processing tools necessary to perform motion-robust super-resolution foetal MRI reconstruction. Read more…
MIAL Xmas event jointly with Connectomics Lab team, walking up the vineyards and beer tasting at Dr Gab’s ! (November 2019, Puidoux)
In the context of the European ITN Translational Brain Imaging Network (TRABIT) we organise a Computational Magnetic Resonance Brain Imaging Summer School at EPFL, June 24-28 2019, EPFL, Lausanne. More information http://trabit2019.epfl.ch