Research Presentation Sessions: Imaging Informatics / Artificial Intelligence and Machine Learning
Artificial intelligence (AI) in neuroimaging
Lectures
1
Real-life evaluation of the AI-based neuroradiology suite mdbrain - Jens Opalka, Berlin / DE
08:00
2
Comparison of 3 deep learning models to perform a multiclass CT-scan segmentation of traumatic brain lesions: trained from scratch vs pre-trained vs fine-tuned - Clément Brossard, Villeurbanne / FR
08:00
3
Deep learning super-resolution MR spectroscopic imaging of brain metabolism and mutant IDH glioma - Ovidiu Andronesi, Charlestown / US
08:00
4
A deep learning algorithm for the automatic detection of intracranial haemorrhage on CT head imaging - Melissa Yeo, Melbourne / AU
08:00
5
Convolutional neural network-based segmentation of the posterior limb of the internal capsule correlates with motor outcome in very preterm neonates - Malik Galijašević, Innsbruck / AT
08:00
6
Application of automatic segmentation on super-resolution reconstruction MRI images of the abnormal fetal brain - Thomas Deprest, Aalst / BE
08:00
7
Automated detection of MCI to Alzheimer's disease conversion before clinical onset by evaluation of atrophy rates - Tobias Lindig, Tübingen / DE
08:00
8
AI-based prediction of onset of intracerebral hemorrhage: potential and limits - Thilo Rusche, Basel / CH
08:00
9
MRI-based prediction of AD progression from MCI using deep learning - Wooseok Jung, Seoul / KR
08:00
10
Comparative performance of AI algorithm using MRI for the diagnosis of Alzheimer’s disease: can MRI replace PET? - Wooseok Jung, Seoul / KR
08:00
