output
20112019
most citedForecasting intracranial hypertension using multi-scale waveform metrics

26 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2019Show all

2 papers · 1 filter

eess.IV2019★ 1 cited

Training Multiscale-CNN for Large Microscopy Image Classification in One Hour

Kushal Datta, Imtiaz Hossain, Sun Choi +4

Existing approaches to train neural networks that use large images require to either crop or down-sample data during pre-processing, use small batch sizes, or split the model acros…

eess.SP2019★ 26 cited

Forecasting intracranial hypertension using multi-scale waveform metrics

Matthias Hüser, Adrian Kündig, Walter Karlen +2

Objective: Acute intracranial hypertension is an important risk factor of secondary brain damage after traumatic brain injury. Hypertensive episodes are often diagnosed reactively,…