Sebastian Pölsterl

Orcid: 0000-0002-1607-7550

According to our database1, Sebastian Pölsterl authored at least 36 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2024
From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data.
CoRR, 2024

Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease.
Proceedings of the Information Processing in Medical Imaging, 2023

2022
DAFT: A universal module to interweave tabular data and 3D images in CNNs.
NeuroImage, 2022

CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Joint Reconstruction and Parcellation of Cortical Surfaces.
Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

Is a PET All You Need? A Multi-modal Study for Alzheimer's Disease Using 3D CNNs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Detect and correct bias in multi-site neuroimaging datasets.
Medical Image Anal., 2021

Semi-Structured Deep Piecewise Exponential Models.
Proceedings of AAAI Symposium on Survival Prediction, 2021

TransforMesh: A Transformer Network for Longitudinal Modeling of Anatomical Meshes.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Alzheimer's Disease Diagnosis via Deep Factorization Machine Models.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum.
Proceedings of the Information Processing in Medical Imaging, 2021

2020
'Squeeze & excite' guided few-shot segmentation of volumetric images.
Medical Image Anal., 2020

scikit-survival: A Library for Time-to-Event Analysis Built on Top of scikit-learn.
J. Mach. Learn. Res., 2020

Controlling for Unknown Confounders in Neuroimaging.
CoRR, 2020

Adversarial Learned Molecular Graph Inference and Generation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Recalibration of Neural Networks for Point Cloud Analysis.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Likelihood-Free Inference and Generation of Molecular Graphs.
CoRR, 2019

BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning.
CoRR, 2019

A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features.
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images.
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

2017
Algorithms for Large-scale Learning from Heterogeneous Survival Data (Methoden des maschinellen Lernens zur Analyse von Überlebenszeiten basierend auf heterogenen Daten)
PhD thesis, 2017

2016
An Efficient Training Algorithm for Kernel Survival Support Vector Machines.
CoRR, 2016

Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection.
Artif. Intell. Medicine, 2016

Automatic Detection of Non-Biological Artifacts in ECGs Acquired During Cardiac Computed Tomography.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015
Stratification of coronary artery disease patients for revascularization procedure based on estimating adverse effects.
BMC Medical Informatics Decis. Mak., 2015

Fast Training of Support Vector Machines for Survival Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2011
Relative location of CT slices on axial axis.
Dataset, July, 2011

2D Image Registration in CT Images Using Radial Image Descriptors.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

2010
Odefy -- From discrete to continuous models.
BMC Bioinform., 2010


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