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pro vyhledávání: '"Reich, Daniel S"'
Autor:
Karthik, Enamundram Naga, Kerbrat, Anne, Labauge, Pierre, Granberg, Tobias, Talbott, Jason, Reich, Daniel S., Filippi, Massimo, Bakshi, Rohit, Callot, Virginie, Chandar, Sarath, Cohen-Adad, Julien
Segmentation of Multiple Sclerosis (MS) lesions is a challenging problem. Several deep-learning-based methods have been proposed in recent years. However, most methods tend to be static, that is, a single model trained on a large, specialized dataset
Externí odkaz:
http://arxiv.org/abs/2210.15091
Publikováno v:
In Trends in Immunology October 2024 45(10):799-813
Autor:
Fagiani, Francesca, Pedrini, Edoardo, Taverna, Stefano, Brambilla, Elena, Murtaj, Valentina, Podini, Paola, Ruffini, Francesca, Butti, Erica, Braccia, Clarissa, Andolfo, Annapaola, Magliozzi, Roberta, Smirnova, Lena, Kuhlmann, Tanja, Quattrini, Angelo, Calabresi, Peter A., Reich, Daniel S., Martino, Gianvito, Panina-Bordignon, Paola, Absinta, Martina
Publikováno v:
In Cell Reports Medicine 20 August 2024 5(8)
Publikováno v:
In Neuroimaging Clinics of North America August 2024 34(3):359-373
Autor:
La Rosa, Francesco, Wynen, Maxence, Al-Louzi, Omar, Beck, Erin S, Huelnhagen, Till, Maggi, Pietro, Thiran, Jean-Philippe, Kober, Tobias, Shinohara, Russell T, Sati, Pascal, Reich, Daniel S, Granziera, Cristina, Absinta, Martina, Cuadra, Meritxell Bach
The current multiple sclerosis (MS) diagnostic criteria lack specificity, and this may lead to misdiagnosis, which remains an issue in present-day clinical practice. In addition, conventional biomarkers only moderately correlate with MS disease progr
Externí odkaz:
http://arxiv.org/abs/2201.07463
Autor:
Pham, Dzung L., Chou, Yi-Yu, Dewey, Blake E., Reich, Daniel S., Butman, John A., Roy, Snehashis
Deep learning approaches to the segmentation of magnetic resonance images have shown significant promise in automating the quantitative analysis of brain images. However, a continuing challenge has been its sensitivity to the variability of acquisiti
Externí odkaz:
http://arxiv.org/abs/2103.02767
Autor:
La Rosa, Francesco, Beck, Erin S, Abdulkadir, Ahmed, Thiran, Jean-Philippe, Reich, Daniel S, Sati, Pascal, Cuadra, Meritxell Bach
The automated detection of cortical lesions (CLs) in patients with multiple sclerosis (MS) is a challenging task that, despite its clinical relevance, has received very little attention. Accurate detection of the small and scarce lesions requires spe
Externí odkaz:
http://arxiv.org/abs/2008.06780
Akademický článek
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Akademický článek
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Autor:
Maggi, Pietro, Bulcke, Colin Vanden, Pedrini, Edoardo, Bugli, Céline, Sellimi, Amina, Wynen, Maxence, Stölting, Anna, Mullins, William A., Kalaitzidis, Grigorios, Lolli, Valentina, Perrotta, Gaetano, El Sankari, Souraya, Duprez, Thierry, Li, Xu, Calabresi, Peter A., van Pesch, Vincent, Reich, Daniel S., Absinta, Martina
Publikováno v:
In eBioMedicine August 2023 94