Algorithms for large-scale learning from heterogeneous survival data

von Pölsterl, Sebastian Walter
Veröffentlicht 2016

Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer’s Continuum

von Pölsterl, Sebastian
Veröffentlicht in IPMI (27. : 2021 : Online) Information processing in medical imaging (2021)

Adversarial Learned Molecular Graph Inference and Generation

von Pölsterl, Sebastian
Veröffentlicht in ECML/PKDD (2020 : Online) Machine learning and knowledge discovery in databases ; Part 2 (2021)

TransforMesh: A Transformer Network for Longitudinal Modeling of Anatomical Meshes

von Sarasua, Ignacio
Veröffentlicht in MLMI (12. : 2021 : Straßburg) Machine Learning in Medical Imaging (2021)

Scalable, Axiomatic Explanations of Deep Alzheimer’s Diagnosis from Heterogeneous Data

von Pölsterl, Sebastian
Veröffentlicht in MICCAI (24. : 2021 : Online) Medical image computing and computer assisted intervention - MICCAI 2021 ; Part 3 (2021)

CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis

von Sarasua, Ignacio
Veröffentlicht in International Conference on Medical Image Computing and Computer Assisted Intervention (25. : 2022 : Singapur; Online) Medical image computing and computer assisted intervention - MICCAI 2022 ; Part 1 (2022)

Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform

von Pölsterl, Sebastian
Veröffentlicht in MICCAI (24. : 2021 : Online) Medical image computing and computer assisted intervention - MICCAI 2021 ; Part 5 (2021)

Alzheimer’s Disease Diagnosis via Deep Factorization Machine Models

von Ronge, Raphael
Veröffentlicht in MLMI (12. : 2021 : Straßburg) Machine Learning in Medical Imaging (2021)

A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data

von Pölsterl, Sebastian
Veröffentlicht in ECML PKDD (4. : 2019 : Würzburg) Machine learning and knowledge discovery in databases ; Part 1 (2020)

Joint Reconstruction and Parcellation of Cortical Surfaces

von Rickmann, Anne-Marie
Veröffentlicht in MLCN (5. : 2022 : Singapur; Online) Machine learning in clinical neuroimaging (2022)

Is a PET All You Need? A Multi-modal Study for Alzheimer’s Disease Using 3D CNNs

von Narazani, Marla
Veröffentlicht in International Conference on Medical Image Computing and Computer Assisted Intervention (25. : 2022 : Singapur; Online) Medical image computing and computer assisted intervention - MICCAI 2022 ; Part 1 (2022)

Bayesian neural networks for uncertainty estimation of imaging biomarkers

von Senapati, Jyotirmay
Veröffentlicht in MLMI (11. : 2020 : Online) Machine learning in medical imaging (2020)