Scholar
Maximilian Sackl
Google Scholar ID: gsOBJo8AAAAJ
Medical University of Graz
Citations & Impact
Citations
135
H-index
2
i10-index
1
Publications
16
Co-authors
6
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Published 6 papers with 114 citations. Some of the publications include:
- - Identifying Alzheimer's Disease Prediction Strategies of Convolutional Neural Network Classifiers using R2* Maps and Spectral Clustering
- - Pfungst and Clever Hans: Identifying the unintended cues in a widely used Alzheimer's disease MRI dataset using explainable deep learning
- - Fully Automated Hippocampus Segmentation using T2-informed Deep Convolutional Neural Networks
- - Explainable Concept Mappings of MRI: Revealing the Mechanisms Underlying Deep Learning-Based Brain Disease Classification
- - Cross-sectional and Longitudinal Assessment of Brain Iron Level in Alzheimer Disease Using 3-T MRI
Research Experience
- Currently a PhD Student at Stefan Ropele's Lab, Universitätsklinik für Neurologie, Medical University of Graz.
Education
- March 2017 - June 2020, Graz University of Technology, Field of study: Biomedical Engineering.
Background
- Research interests: Pattern Recognition, Image Segmentation, Classification, Machine Learning, Neural Networks and Artificial Intelligence, Medical Image Analysis, Medical and Biomedical Image Processing. Currently a PhD Student at the Universitätsklinik für Neurologie, Medical University of Graz.
