| Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE F La Rosa, A Abdulkadir, MJ Fartaria, R Rahmanzadeh, PJ Lu, ... NeuroImage: Clinical 27, 102335, 2020 | 119 | 2020 |
| Myelin and axon pathology in multiple sclerosis assessed by myelin water and multi-shell diffusion imaging R Rahmanzadeh, PJ Lu, M Barakovic, M Weigel, P Maggi, TD Nguyen, ... Brain 144 (6), 1684-1696, 2021 | 108 | 2021 |
| Chronic white matter inflammation and serum neurofilament levels in multiple sclerosis P Maggi, J Kuhle, S Schädelin, F Van Der Meer, M Weigel, R Galbusera, ... Neurology 97 (6), e543-e553, 2021 | 97 | 2021 |
| A new advanced MRI biomarker for remyelinated lesions in multiple sclerosis R Rahmanzadeh, R Galbusera, PJ Lu, E Bahn, M Weigel, M Barakovic, ... Annals of neurology 92 (3), 486-502, 2022 | 68 | 2022 |
| CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis P Maggi, MJ Fartaria, J Jorge, F La Rosa, M Absinta, P Sati, R Meuli, ... NMR in Biomedicine 33 (5), e4283, 2020 | 61 | 2020 |
| RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis G Barquero, F La Rosa, H Kebiri, PJ Lu, R Rahmanzadeh, M Weigel, ... NeuroImage: Clinical 28, 102412, 2020 | 56 | 2020 |
| A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation maps HG Nguyen, A Pica, J Hrbacek, DC Weber, F La Rosa, A Schalenbourg, ... International Conference on Medical Imaging with Deep Learning, 370-379, 2019 | 40 | 2019 |
| Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: Emerging machine learning techniques and future avenues F La Rosa, M Wynen, O Al-Louzi, ES Beck, T Huelnhagen, P Maggi, ... NeuroImage: Clinical 36, 103205, 2022 | 38 | 2022 |
| Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 37 | 2022 |
| Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis F La Rosa, MJ Fartaria, T Kober, J Richiardi, C Granziera, JP Thiran, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 34 | 2019 |
| Shifts 2.0: Extending the dataset of real distributional shifts A Malinin, A Athanasopoulos, M Barakovic, MB Cuadra, MJF Gales, ... arXiv preprint arXiv:2206.15407, 2022 | 27 | 2022 |
| Multiple sclerosis cortical lesion detection with deep learning at ultra‐high‐field MRI F La Rosa, ES Beck, J Maranzano, RA Todea, P van Gelderen, ... NMR in Biomedicine 35 (8), e4730, 2022 | 23 | 2022 |
| A deep learning approach to bone segmentation in CT scans F La Rosa, M Wenzel, R Campanini | 21 | 2017 |
| MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients F La Rosa, T Yu, G Barquero, JP Thiran, C Granziera, MB Cuadra Computers in biology and medicine 132, 104297, 2021 | 19 | 2021 |
| A comparative assessment of myelin-sensitive measures in multiple sclerosis patients and healthy subjects R Rahmanzadeh, M Weigel, PJ Lu, L Melie-Garcia, TD Nguyen, A Cagol, ... NeuroImage: Clinical 36, 103177, 2022 | 15 | 2022 |
| Automated detection of cortical lesions in multiple sclerosis patients with 7T MRI F La Rosa, ES Beck, A Abdulkadir, JP Thiran, DS Reich, P Sati, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 13 | 2020 |
| Fluid and white matter suppression: new sensitive 3 T magnetic resonance imaging contrasts for cortical lesion detection in multiple sclerosis J Müller, F La Rosa, J Beaumont, C Tsagkas, R Rahmanzadeh, M Weigel, ... Investigative Radiology 57 (9), 592-600, 2022 | 11 | 2022 |
| Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis N Molchanova, V Raina, A Malinin, F La Rosa, H Muller, M Gales, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 8 | 2023 |
| BMAT: An open-source BIDS managing and analysis tool CV Bulcke, M Wynen, J Detobel, F La Rosa, M Absinta, L Dricot, B Macq, ... NeuroImage: Clinical 36, 103252, 2022 | 8 | 2022 |
| GAMER-MRI in multiple sclerosis identifies the diffusion-based microstructural measures that are most sensitive to focal damage: A Deep-Learning-Based Analysis and Clinico … PJ Lu, M Barakovic, M Weigel, R Rahmanzadeh, R Galbusera, S Schiavi, ... Frontiers in neuroscience 15, 647535, 2021 | 8 | 2021 |
Meritxell Bach CuadraCIBM Center for Biomedical Imaging, Lausanne University (UNIL), Radiology Department (CHUV)Верификована је имејл адреса на unil.ch