142 citations · 213 across the 12 of their papers we have counts for
8 papers · 1 filter
MRI Embeddings Complement Clinical Predictors for Cognitive Decline Modeling in Alzheimer's Disease Cohorts
Nathaniel Putera, Daniel Vilet Rodríguez, Noah Videcrantz +2
Accurate modeling of cognitive decline in Alzheimer's disease is essential for early stratification and personalized management. While tabular predictors provide robust markers of…
Deep Learning-Based Regional White Matter Hyperintensity Mapping as a Robust Biomarker for Alzheimer's Disease
Julia Machnio, Mads Nielsen, Mostafa Mehdipour Ghazi
White matter hyperintensities (WMH) are key imaging markers in cognitive aging, Alzheimer's disease (AD), and related dementias. Although automated methods for WMH segmentation hav…
Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels
Aida Moafi, Danial Moafi, Evgeny M. Mirkes +4
The accurate segmentation of myocardial scars from cardiac MRI is essential for clinical assessment and treatment planning. In this study, we propose a robust deep-learning pipelin…
Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai +4
Disease progression modeling (DPM) using longitudinal data is a challenging machine learning task. Existing DPM algorithms neglect temporal dependencies among measurements, make pa…
Robust training of recurrent neural networks to handle missing data for disease progression modeling
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai +4
Disease progression modeling (DPM) using longitudinal data is a challenging task in machine learning for healthcare that can provide clinicians with better tools for diagnosis and…
Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System
Marina Zimmermann, Mostafa Mehdipour Ghazi, Hazım Kemal Ekenel +1
Automatic visual speech recognition is an interesting problem in pattern recognition especially when audio data is noisy or not readily available. It is also a very challenging tas…
Combining Multiple Views for Visual Speech Recognition
Marina Zimmermann, Mostafa Mehdipour Ghazi, Hazım Kemal Ekenel +1
Visual speech recognition is a challenging research problem with a particular practical application of aiding audio speech recognition in noisy scenarios. Multiple camera setups ca…
A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition
Mostafa Mehdipour Ghazi, Hazim Kemal Ekenel
Deep learning based approaches have been dominating the face recognition field due to the significant performance improvement they have provided on the challenging wild datasets. T…