Najaarsvergadering 2019

 

Presentaties Vrijdag 22 November

TimeActivity
Wetenschappelijk Programma  |  Voertaal Engels
14.30 – 15.00 uur(Deep) learning for the uninitiated
Dr Christin Seifert, University of Twente |    Presentation
Data blitzes
15.00 – 15.15 uurDeep learning on EEG data to identify gender differences
Michel van Putten, University of Twente |    Presentation
15.15 – 15.30 uurA fully automated machine learning pipeline on EEG data predicts  cognitive function of PD patients
Victor Geraedts, LUMC  
15.30 – 15.45 uurQuantitative analysis of EEG reactivity for prognostication after cardiac arrest
Marjolein Admiraal, AMC  |    Presentation
15.45 – 16.00 uurMachine learning on intracranial signals to decode speech processes from neural activity
Christian Herff, MUMC |    Presentation
16.00 – 16.15 uurDeep learning for the detection of interictal epileptiform EEG abnormalities
Catarina Lourenço, TU Twente  
16.15 – 16.30 uur  Koffiepauze
16.30 – 16.45 uurMachine learning for seizure detection in ICU patients
Erik Gommer, MUMC  |    Presentation
16.45 – 17.00 uurAI for the analysis of muscle ultrasound data
Juerd Wijntjes, RadboudUMC |    Presentation 
17.00 – 17.15 uurMachine learning in (electro)diagnosis and prognosis of acquired inflammatory neuropathies
Camiel Verhamme, AMC 
17.15 – 17.30 uurThe face of neuromuscular dysfunction: deep learning of video data to diagnose myasthenia gravis
Annabel Ruiter, LUMC |   Presentation