Christian Wachinger | Sebastian Pölsterl

Latest

From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning
Deep learning for the prediction of type 2 diabetes mellitus from neck-to-knee Dixon MRI in the UK biobank
Can we diagnose mental disorders in children? A large-scale assessment of machine learning on structural neuroimaging of 6916 children in the adolescent brain cognitive development study
Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease
Identification of causal effects of neuroanatomy on cognitive decline requires modeling unobserved confounders
Joint Reconstruction and Parcellation of Cortical Surfaces
DAFT: A Universal Module to Interweave Tabular Data and 3D Images in CNNs
Is a PET all you need? A multi-modal study for Alzheimer's disease using 3D CNNs
CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis
Hippocampal representations for deep learning on Alzheimer’s disease
Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks
Alzheimer’s Disease Diagnosis via Deep Factorization Machine Models
TransforMesh: A Transformer Network for Longitudinal Modeling of Anatomical Meshes
Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform
Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data
Semi-Structured Deep Piecewise Exponential Models
Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum
Recalibration of Neural Networks for Point Cloud Analysis
Detect and Correct Bias in Multi-Site Neuroimaging Datasets
Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers
Adversarial Learned Molecular Graph Inference and Generation
'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images
An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features
Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data