Friedli, Christoph Daniel

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2019

Briner, Myriam; Bagnoud, Maud; Miclea, Andrei; Friedli, Christoph; Diem, Lara; Chan, Andrew; Hoepner, Robert; Salmen, Anke (2019). Time course of lymphocyte repopulation after dimethyl fumarate-induced grade 3 lymphopenia: contribution of patient age. Therapeutic advances in neurological disorders, 12, p. 1756286419843450. Sage 10.1177/1756286419843450

Maeder, Cecilia; Friedli, Christoph; Kuchen, Stefan; Wiest, Roland; Hewer, Ekkehard; Rovó, Alicia; Chan, Andrew (2019). Langerhans cell histiocytosis with initial central nervous system presentation as a mimic of neurosarcoidosis. Clinical and translational neuroscience, 3(2), 2514183X1987506. Sage Publications 10.1177/2514183x19875064

Zoehner, Greta; Miclea, Andrei; Salmen, Anke; Kamber, Nicole; Diem, Lara; Friedli, Christoph; Bagnoud, Maud; Ahmadi, Farhad; Briner, Myriam; Sédille-Mostafaie, Nazanin; Kilidireas, Constantinos; Stefanis, Leonidas; Chan, Andrew; Hoepner, Robert; Evangelopoulos, Maria Eleftheria (2019). Reduced serum immunoglobulin G concentrations in multiple sclerosis: prevalence and association with disease-modifying therapy and disease course. Therapeutic advances in neurological disorders, 12, p. 1756286419878340. Sage 10.1177/1756286419878340

McKinley, Richard; Grunder, Lorenz; Wepfer, Rik; Aschwanden, Fabian; Fischer, Tim; Friedli, Christoph; Muri, Raphaela; Rummel, Christian; Verma, Rajeev; Weisstanner, Christian; Reyes, Mauricio; Salmen, Anke; Chan, Andrew; Wiest, Roland; Wagner, Franca (2019). Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence (arXiv). Cornell University

McKinley, Richard; Wepfer, Rik; Grunder, Lorenz; Aschwanden, Fabian; Fischer, Tim; Friedli, Christoph; Muri, Raphaela; Rummel, Christian; Verma, Rajeev Kumar; Weisstanner, Christian; Wiestler, Benedikt; Berger, Christoph; Eichinger, Paul; Muehlau, Mark; Reyes, Mauricio; Salmen, Anke; Chan, Andrew; Wiest, Roland; Wagner, Franca (2019). Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence. NeuroImage: Clinical, 25, p. 102104. Elsevier 10.1016/j.nicl.2019.102104

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