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English (UK)
Higher effect sizes for the detection of accelerated brain volume loss and disability progression in multiple sclerosis using deep-learning
MASC
Jahr
Publikationsjahr
2024
Autoren
Autorenliste der Publikation
Opfer R, Ziemssen T, Krüger J, Buddenkotte T, Spies L, Gocke C, Schwab M, Buchert R.
Verlag
Publisher-Information
Computers in Biology and Medicine. 2024. Volume 183, 2024, 109289.
Link
Zur Publikation (externer Server)
https://doi.org/10.1016/j.compbiomed.2024.109289
Tags
Forschungsthemen
Multiple Sklerose
Management & Science
eHealth
MSZ
MASC
eHealth
2024
MS brain health quality standards: a survey on the reality in clinical practice in Germany
Multiple Sclerosis
Jahr
2024
Best supportive care for patients with primary progressive multiple sclerosis (PPMS) in Germany prior to ocrelizumab treatment: Final results from the RETRO PPMS study
MS Treatments
Jahr
2024
Harmonized Data Quality Indicators Maintain Data Quality in Long-Term Safety Studies Using Multiple Sclerosis Registries/Data Sources: Experience from the CLARION Study
Multiple Sclerosis
Jahr
2024
Eculizumab Use in Neuromyelitis Optica Spectrum Disorders
MS Treatments
Jahr
2024
Detecting fatigue in multiple sclerosis through automatic speech analysis
MASC
Jahr
2024
