187 citations · 451 across the 28 of their papers we have counts for
5 papers · 1 filter
Automated Detection of Patients in Hospital Video Recordings
Siddharth Sharma, Florian Dubost, Christopher Lee-Messer +1
In a clinical setting, epilepsy patients are monitored via video electroencephalogram (EEG) tests. A video EEG records what the patient experiences on videotape while an EEG device…
Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT
Gerda Bortsova, Daniel Bos, Florian Dubost +4
Purpose: To evaluate a fully-automated deep-learning-based method for assessment of intracranial carotid artery calcification (ICAC). Methods: Two observers manually delineated ICA…
Double Descent Optimization Pattern and Aliasing: Caveats of Noisy Labels
Florian Dubost, Erin Hong, Max Pike +5
Optimization plays a key role in the training of deep neural networks. Deciding when to stop training can have a substantial impact on the performance of the network during inferen…
Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images
Gerda Bortsova, Florian Dubost, Laurens Hogeweg +2
Adversarial attacks consist in maliciously changing the input data to mislead the predictions of automated decision systems and are potentially a serious threat for automated medic…
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis
Siyi Tang, Jared A. Dunnmon, Khaled Saab +5
Automated seizure detection and classification from electroencephalography (EEG) can greatly improve seizure diagnosis and treatment. However, several modeling challenges remain un…