Sebastian Pölsterl

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 47

Top Topics

Coronary Artery

Cortical Surface

Support Vector Machine

Top Venues

Publications

Yitong Li, Tom Nuno Wolf, Sebastian Pölsterl, Igor Yakushev, Dennis M. Hedderich, Christian Wachinger
From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data. CoRR (2024)
Tom Nuno Wolf, Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning. AAAI (2024)
Tom Nuno Wolf, Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning. CoRR (2023)
Tom Nuno Wolf, Sebastian Pölsterl, Christian Wachinger
Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease. IPMI (2023)
Tom Nuno Wolf, Sebastian Pölsterl, Christian Wachinger
Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease. CoRR (2023)
Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger
CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis. MICCAI (1) (2022)
Marla Narazani, Ignacio Sarasua, Sebastian Pölsterl, Aldana Lizarraga, Igor Yakushev, Christian Wachinger
Is a PET all you need? A multi-modal study for Alzheimer's disease using 3D CNNs. CoRR (2022)
Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger
CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis. CoRR (2022)
Marla Narazani, Ignacio Sarasua, Sebastian Pölsterl, Aldana Lizarraga, Igor Yakushev, Christian Wachinger
Is a PET All You Need? A Multi-modal Study for Alzheimer's Disease Using 3D CNNs. MICCAI (1) (2022)
Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger
Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks. CVPR (2022)
Tom Nuno Wolf, Sebastian Pölsterl, Christian Wachinger, Alzheimer's Disease Neuroimaging Initiative, Australian Imaging Biomarkers Lifestyle flagship study of ageing
DAFT: A universal module to interweave tabular data and 3D images in CNNs. NeuroImage 260 (2022)
Anne-Marie Rickmann, Fabian Bongratz, Sebastian Pölsterl, Ignacio Sarasua, Christian Wachinger
Joint Reconstruction and Parcellation of Cortical Surfaces. CoRR (2022)
Anne-Marie Rickmann, Fabian Bongratz, Sebastian Pölsterl, Ignacio Sarasua, Christian Wachinger
Joint Reconstruction and Parcellation of Cortical Surfaces. MLCN@MICCAI (2022)
Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger
Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks. CoRR (2022)
Sebastian Pölsterl, Christian Wachinger
Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum. IPMI (2021)
Christian Wachinger, Anna Rieckmann, Sebastian Pölsterl
Detect and correct bias in multi-site neuroimaging datasets. Medical Image Anal. 67 (2021)
Raphael Ronge, Kwangsik Nho, Christian Wachinger, Sebastian Pölsterl
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models. CoRR (2021)
Sebastian Pölsterl, Tom Nuno Wolf, Christian Wachinger
Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform. CoRR (2021)
Sebastian Pölsterl, Christina Aigner, Christian Wachinger
Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data. MICCAI (3) (2021)
Sebastian Pölsterl, Christina Aigner, Christian Wachinger
Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data. CoRR (2021)
Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger
TransforMesh: A Transformer Network for Longitudinal modeling of Anatomical Meshes. CoRR (2021)
Philipp Kopper, Sebastian Pölsterl, Christian Wachinger, Bernd Bischl, Andreas Bender, David Rügamer
Semi-Structured Deep Piecewise Exponential Models. SPACA (2021)
Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger
TransforMesh: A Transformer Network for Longitudinal Modeling of Anatomical Meshes. MLMI@MICCAI (2021)
Raphael Ronge, Kwangsik Nho, Christian Wachinger, Sebastian Pölsterl
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models. MLMI@MICCAI (2021)
Sebastian Pölsterl, Tom Nuno Wolf, Christian Wachinger
Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform. MICCAI (5) (2021)
Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Annette Peters, Fabian Bamberg, Christian Wachinger
Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. MLMI@MICCAI (2020)
Sebastian Pölsterl
scikit-survival: A Library for Time-to-Event Analysis Built on Top of scikit-learn. J. Mach. Learn. Res. 21 (2020)
Philipp Kopper, Sebastian Pölsterl, Christian Wachinger, Bernd Bischl, Andreas Bender, David Rügamer
Semi-Structured Deep Piecewise Exponential Models. CoRR (2020)
Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger
'Squeeze & excite' guided few-shot segmentation of volumetric images. Medical Image Anal. 59 (2020)
Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger
Recalibration of Neural Networks for Point Cloud Analysis. 3DV (2020)
Christian Wachinger, Anna Rieckmann, Sebastian Pölsterl
Detect and Correct Bias in Multi-Site Neuroimaging Datasets. CoRR (2020)
Sebastian Pölsterl, Christian Wachinger
Adversarial Learned Molecular Graph Inference and Generation. ECML/PKDD (2) (2020)
Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Annette Peters, Fabian Bamberg, Christian Wachinger
Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. CoRR (2020)
Sebastian Pölsterl, Christian Wachinger
Controlling for Unknown Confounders in Neuroimaging. CoRR (2020)
Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger
Recalibration of Neural Networks for Point Cloud Analysis. CoRR (2020)
Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, Christian Wachinger
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data. PKDD/ECML Workshops (1) (2019)
Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, Christian Wachinger
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data. CoRR (2019)
Sebastian Pölsterl, Christian Wachinger
Likelihood-Free Inference and Generation of Molecular Graphs. CoRR (2019)
Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger
'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images. CoRR (2019)
Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger
Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images. ABCD-NP@MICCAI (2019)
Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann, Sebastian Pölsterl
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference. MICCAI (4) (2019)
Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger
An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features. ABCD-NP@MICCAI (2019)
Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann, Sebastian Pölsterl
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference. CoRR (2019)
Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger
BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning. CoRR (2019)
Sebastian Pölsterl, Nassir Navab, Amin Katouzian
An Efficient Training Algorithm for Kernel Survival Support Vector Machines. CoRR (2016)
Sebastian Pölsterl, Sailesh Conjeti, Nassir Navab, Amin Katouzian
Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection. Artif. Intell. Medicine 72 (2016)
Rustem Bekmukhametov, Sebastian Pölsterl, Thomas Allmendinger, Minh-Duc Doan, Nassir Navab
Automatic Detection of Non-Biological Artifacts in ECGs Acquired During Cardiac Computed Tomography. ECML/PKDD (3) (2016)
Sebastian Pölsterl, Maneesh Singh, Amin Katouzian, Nassir Navab, Adnan Kastrati, Lance Ladic, Ali Kamen
Stratification of coronary artery disease patients for revascularization procedure based on estimating adverse effects. BMC Medical Informatics Decis. Mak. 15 (2015)
Sebastian Pölsterl, Nassir Navab, Amin Katouzian
Fast Training of Support Vector Machines for Survival Analysis. ECML/PKDD (2) (2015)
Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Sebastian Pölsterl, Alexander Cavallaro
2D Image Registration in CT Images Using Radial Image Descriptors. MICCAI (2) (2011)
Jan Krumsiek, Sebastian Pölsterl, Dominik M. Wittmann, Fabian J. Theis
Odefy -- From discrete to continuous models. BMC Bioinform. 11 (2010)