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

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

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

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

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

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

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

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

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

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

Comparative performance of AI algorithm using MRI for the diagnosis of Alzheimer’s disease: can MRI replace PET? - Wooseok Jung, Seoul / KR

08:00