Dr. Florence Aellen

Email: florence.aellen@unibe.ch
Google Scholar

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Bio

I have a PhD in Computer Science, a bachelor degree in mathematics and a master of science in theoretical physics all from the University of Bern. Now I am a postdoctoral fellow working on analysis of neurological data and developing new methods using deep learning.

Publications

Alnes SL, Aellen FM, Rusterholz T, Pelentritou A, Hänggi M, Rossetti AO, Zubler F, De Lucia M, Tzovara A, (2025) Temporal dynamics of neural synchrony and complexity of auditory EEG responses in post-hypoxic ischemic coma, Resuscitation. * equal contribution

Aellen FM, Alnes SL, Loosli F, Rossetti AO, Zubler F, De Lucia M, Tzovara A (2023) Auditory stimulation and deep learning predict awakening from coma after cardiac arrest, Brain.

Aellen F., van der Meer J., Dietmann A., Schmidt M., Bassetti C.L.A. *, Tzovara A. *, (2023) Disentangling the complex landscape of sleep-wake disorders with data-driven phenotyping: A study of the Bernese center, European Journal of Neurology, * Co-senior authors

Aellen FM, Kavis-Göktepe P, Apostolopoulos S, Tzovara A (2021). Convolutional neural networks for decoding electroencephalography responses and visualizing trial by trial changes in discriminant features, Journal of Neuroscience Methods.

Norori N, Hu Q, Aellen F, Faraci F, Tzovara A (2021). Addressing bias in big data and AI for health care: A call for open science, Patterns.