Sebastian Pölsterl

53 papers A* 2Journal 29Unranked 21

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data. MIDL Yitong Li, Tom Nuno Wolf, Sebastian Pölsterl, Igor Yakushev, Dennis M. Hedderich, Christian Wachinger
2024	J	`jnl`	From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data. CoRR Yitong Li, Tom Nuno Wolf, Sebastian Pölsterl, Igor Yakushev, Dennis M. Hedderich, Christian Wachinger
2024	A*	`conf`	Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning. AAAI Tom Nuno Wolf, Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger
2023	—	`conf`	Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease. IPMI Tom Nuno Wolf, Sebastian Pölsterl, Christian Wachinger
2023	J	`jnl`	Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease. CoRR Tom Nuno Wolf, Sebastian Pölsterl, Christian Wachinger
2023	J	`jnl`	Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning. CoRR Tom Nuno Wolf, Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger
2022	—	`conf`	CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis. MICCAI (1) Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger
2022	J	`jnl`	CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis. CoRR Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger
2022	J	`jnl`	DAFT: A universal module to interweave tabular data and 3D images in CNNs. NeuroImage Tom Nuno Wolf, Sebastian Pölsterl, Christian Wachinger, Alzheimer's Disease Neuroimaging Initiative, Australian Imaging Biomarkers Lifestyle flagship study of ageing
2022	—	`conf`	Is a PET All You Need? A Multi-modal Study for Alzheimer's Disease Using 3D CNNs. MICCAI (1) Marla Narazani, Ignacio Sarasua, Sebastian Pölsterl, Aldana Lizarraga, Igor Yakushev, Christian Wachinger
2022	J	`jnl`	Is a PET all you need? A multi-modal study for Alzheimer's disease using 3D CNNs. CoRR Marla Narazani, Ignacio Sarasua, Sebastian Pölsterl, Aldana Lizarraga, Igor Yakushev, Christian Wachinger
2022	—	`conf`	Joint Reconstruction and Parcellation of Cortical Surfaces. MLCN@MICCAI Anne-Marie Rickmann, Fabian Bongratz, Sebastian Pölsterl, Ignacio Sarasua, Christian Wachinger
2022	J	`jnl`	Joint Reconstruction and Parcellation of Cortical Surfaces. CoRR Anne-Marie Rickmann, Fabian Bongratz, Sebastian Pölsterl, Ignacio Sarasua, Christian Wachinger
2022	A*	`conf`	Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks. CVPR Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger
2022	J	`jnl`	Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks. CoRR Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger
2021	—	`conf`	Alzheimer's Disease Diagnosis via Deep Factorization Machine Models. MLMI@MICCAI Raphael Ronge, Kwangsik Nho, Christian Wachinger, Sebastian Pölsterl
2021	J	`jnl`	Alzheimer's Disease Diagnosis via Deep Factorization Machine Models. CoRR Raphael Ronge, Kwangsik Nho, Christian Wachinger, Sebastian Pölsterl
2021	—	`conf`	Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform. MICCAI (5) Sebastian Pölsterl, Tom Nuno Wolf, Christian Wachinger
2021	J	`jnl`	Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform. CoRR Sebastian Pölsterl, Tom Nuno Wolf, Christian Wachinger
2021	J	`jnl`	Detect and correct bias in multi-site neuroimaging datasets. Medical Image Anal. Christian Wachinger, Anna Rieckmann, Sebastian Pölsterl
2021	—	`conf`	Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum. IPMI Sebastian Pölsterl, Christian Wachinger
2021	—	`conf`	Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data. MICCAI (3) Sebastian Pölsterl, Christina Aigner, Christian Wachinger
2021	J	`jnl`	Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data. CoRR Sebastian Pölsterl, Christina Aigner, Christian Wachinger
2021	—	`conf`	Semi-Structured Deep Piecewise Exponential Models. SPACA Philipp Kopper, Sebastian Pölsterl, Christian Wachinger, Bernd Bischl, Andreas Bender, David Rügamer
2021	—	`conf`	TransforMesh: A Transformer Network for Longitudinal Modeling of Anatomical Meshes. MLMI@MICCAI Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger
2021	J	`jnl`	TransforMesh: A Transformer Network for Longitudinal modeling of Anatomical Meshes. CoRR Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger
2020	J	`jnl`	'Squeeze & excite' guided few-shot segmentation of volumetric images. Medical Image Anal. Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger
2020	—	`conf`	Adversarial Learned Molecular Graph Inference and Generation. ECML/PKDD (2) Sebastian Pölsterl, Christian Wachinger
2020	—	`conf`	Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. MLMI@MICCAI Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Annette Peters, Fabian Bamberg, Christian Wachinger
2020	J	`jnl`	Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. CoRR Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Annette Peters, Fabian Bamberg, Christian Wachinger
2020	J	`jnl`	Controlling for Unknown Confounders in Neuroimaging. CoRR Sebastian Pölsterl, Christian Wachinger
2020	J	`jnl`	Detect and Correct Bias in Multi-Site Neuroimaging Datasets. CoRR Christian Wachinger, Anna Rieckmann, Sebastian Pölsterl
2020	—	`conf`	Recalibration of Neural Networks for Point Cloud Analysis. 3DV Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger
2020	J	`jnl`	Recalibration of Neural Networks for Point Cloud Analysis. CoRR Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger
2020	J	`jnl`	Semi-Structured Deep Piecewise Exponential Models. CoRR Philipp Kopper, Sebastian Pölsterl, Christian Wachinger, Bernd Bischl, Andreas Bender, David Rügamer
2020	J	`jnl`	scikit-survival: A Library for Time-to-Event Analysis Built on Top of scikit-learn. J. Mach. Learn. Res. Sebastian Pölsterl
2019	J	`jnl`	'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images. CoRR Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger
2019	—	`conf`	A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data. PKDD/ECML Workshops (1) Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, Christian Wachinger
2019	J	`jnl`	A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data. CoRR Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, Christian Wachinger
2019	—	`conf`	An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features. ABCD-NP@MICCAI Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger
2019	J	`jnl`	BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning. CoRR Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger
2019	J	`jnl`	Likelihood-Free Inference and Generation of Molecular Graphs. CoRR Sebastian Pölsterl, Christian Wachinger
2019	—	`conf`	Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images. ABCD-NP@MICCAI Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger
2019	—	`conf`	Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference. MICCAI (4) Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann, Sebastian Pölsterl
2019	J	`jnl`	Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference. CoRR Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann, Sebastian Pölsterl
2017	—	`—`	Algorithms for Large-scale Learning from Heterogeneous Survival Data (Methoden des maschinellen Lernens zur Analyse von Überlebenszeiten basierend auf heterogenen Daten) Sebastian Pölsterl
2016	J	`jnl`	An Efficient Training Algorithm for Kernel Survival Support Vector Machines. CoRR Sebastian Pölsterl, Nassir Navab, Amin Katouzian
2016	—	`conf`	Automatic Detection of Non-Biological Artifacts in ECGs Acquired During Cardiac Computed Tomography. ECML/PKDD (3) Rustem Bekmukhametov, Sebastian Pölsterl, Thomas Allmendinger, Minh-Duc Doan, Nassir Navab
2016	J	`jnl`	Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection. Artif. Intell. Medicine Sebastian Pölsterl, Sailesh Conjeti, Nassir Navab, Amin Katouzian
2015	—	`conf`	Fast Training of Support Vector Machines for Survival Analysis. ECML/PKDD (2) Sebastian Pölsterl, Nassir Navab, Amin Katouzian
2015	J	`jnl`	Stratification of coronary artery disease patients for revascularization procedure based on estimating adverse effects. BMC Medical Informatics Decis. Mak. Sebastian Pölsterl, Maneesh Singh, Amin Katouzian, Nassir Navab, Adnan Kastrati, Lance Ladic, Ali Kamen
2011	—	`conf`	2D Image Registration in CT Images Using Radial Image Descriptors. MICCAI (2) Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Sebastian Pölsterl, Alexander Cavallaro
2010	J	`jnl`	Odefy -- From discrete to continuous models. BMC Bioinform. Jan Krumsiek, Sebastian Pölsterl, Dominik M. Wittmann, Fabian J. Theis