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Sebastian Pölsterl
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2020 – today
- 2024
- [c22]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: 5921-5929 - [i22]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 abs/2404.06253 (2024) - 2023
- [c21]Tom Nuno Wolf, Sebastian Pölsterl, Christian Wachinger
Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease. IPMI 2023: 82-94 - [i21]Tom Nuno Wolf, Sebastian Pölsterl, Christian Wachinger
Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease. CoRR abs/2303.07125 (2023) - [i20]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 abs/2312.09783 (2023) - 2022
- [j7]Tom Nuno Wolf
DAFT: A universal module to interweave tabular data and 3D images in CNNs. NeuroImage 260: 119505 (2022) - [c20]Fabian Bongratz, Anne-Marie Rickmann
Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks. CVPR 2022: 20741-20751 - [c19]Anne-Marie Rickmann
Joint Reconstruction and Parcellation of Cortical Surfaces. MLCN@MICCAI 2022: 3-12 - [c18]Ignacio Sarasua, Sebastian Pölsterl
CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis. MICCAI (1) 2022: 44-54 - [c17]Marla Narazani, Ignacio Sarasua, Sebastian Pölsterl
Is a PET All You Need? A Multi-modal Study for Alzheimer's Disease Using 3D CNNs. MICCAI (1) 2022: 66-76 - [i19]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 abs/2203.09446 (2022) - [i18]Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger
CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis. CoRR abs/2207.02091 (2022) - [i17]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 abs/2207.02094 (2022) - [i16]Anne-Marie Rickmann, Fabian Bongratz, Sebastian Pölsterl, Ignacio Sarasua, Christian Wachinger
Joint Reconstruction and Parcellation of Cortical Surfaces. CoRR abs/2210.01772 (2022) - 2021
- [j6]Christian Wachinger
Detect and correct bias in multi-site neuroimaging datasets. Medical Image Anal. 67: 101879 (2021) - [c16]Sebastian Pölsterl
Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum. IPMI 2021: 45-57 - [c15]Ignacio Sarasua, Sebastian Pölsterl
TransforMesh: A Transformer Network for Longitudinal Modeling of Anatomical Meshes. MLMI@MICCAI 2021: 209-218 - [c14]Sebastian Pölsterl, Christina Aigner, Christian Wachinger:
Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data. MICCAI (3) 2021: 434-444 - [c13]Raphael Ronge
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models. MLMI@MICCAI 2021: 624-633 - [c12]Sebastian Pölsterl
Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform. MICCAI (5) 2021: 688-698 - [c11]Philipp Kopper, Sebastian Pölsterl, Christian Wachinger, Bernd Bischl, Andreas Bender, David Rügamer:
Semi-Structured Deep Piecewise Exponential Models. SPACA 2021: 40-53 - [i15]Sebastian Pölsterl
Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform. CoRR abs/2107.05990 (2021) - [i14]Sebastian Pölsterl
Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data. CoRR abs/2107.05997 (2021) - [i13]Raphael Ronge, Kwangsik Nho, Christian Wachinger, Sebastian Pölsterl
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models. CoRR abs/2108.05916 (2021) - [i12]Ignacio Sarasua, Sebastian Pölsterl
TransforMesh: A Transformer Network for Longitudinal modeling of Anatomical Meshes. CoRR abs/2109.00532 (2021) - 2020
- [j5]Sebastian Pölsterl
scikit-survival: A Library for Time-to-Event Analysis Built on Top of scikit-learn. J. Mach. Learn. Res. 21: 212:1-212:6 (2020) - [j4]Abhijit Guha Roy
'Squeeze & excite' guided few-shot segmentation of volumetric images. Medical Image Anal. 59 (2020) - [c10]Ignacio Sarasua, Sebastian Pölsterl
Recalibration of Neural Networks for Point Cloud Analysis. 3DV 2020: 443-451 - [c9]Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl
Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. MLMI@MICCAI 2020: 270-280 - [c8]Sebastian Pölsterl
Adversarial Learned Molecular Graph Inference and Generation. ECML/PKDD (2) 2020: 173-189 - [i11]Christian Wachinger, Anna Rieckmann, Sebastian Pölsterl
Detect and Correct Bias in Multi-Site Neuroimaging Datasets. CoRR abs/2002.05049 (2020) - [i10]Sebastian Pölsterl
Controlling for Unknown Confounders in Neuroimaging. CoRR abs/2006.13135 (2020) - [i9]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 abs/2008.12680 (2020) - [i8]Philipp Kopper, Sebastian Pölsterl
Semi-Structured Deep Piecewise Exponential Models. CoRR abs/2011.05824 (2020) - [i7]Ignacio Sarasua, Sebastian Pölsterl
Recalibration of Neural Networks for Point Cloud Analysis. CoRR abs/2011.12888 (2020)
2010 – 2019
- 2019
- [c7]Sebastian Pölsterl
Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images. ABCD-NP@MICCAI 2019: 35-46 - [c6]Sebastian Pölsterl
An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features. ABCD-NP@MICCAI 2019: 99-107 - [c5]Christian Wachinger
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference. MICCAI (4) 2019: 484-492 - [c4]Sebastian Pölsterl
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data. PKDD/ECML Workshops (1) 2019: 453-464 - [i6]Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger:
'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images. CoRR abs/1902.01314 (2019) - [i5]Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger:
BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning. CoRR abs/1905.06731 (2019) - [i4]Sebastian Pölsterl
Likelihood-Free Inference and Generation of Molecular Graphs. CoRR abs/1905.10310 (2019) - [i3]Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann, Sebastian Pölsterl:
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference. CoRR abs/1907.04102 (2019) - [i2]Sebastian Pölsterl
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data. CoRR abs/1909.03890 (2019) - 2017
- [b1]Sebastian Pölsterl:
Algorithms for Large-scale Learning from Heterogeneous Survival Data (Methoden des maschinellen Lernens zur Analyse von Überlebenszeiten basierend auf heterogenen Daten). Technical University of Munich, Germany, 2017 - 2016
- [j3]Sebastian Pölsterl
Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection. Artif. Intell. Medicine 72: 1-11 (2016) - [c3]Rustem Bekmukhametov, Sebastian Pölsterl
Automatic Detection of Non-Biological Artifacts in ECGs Acquired During Cardiac Computed Tomography. ECML/PKDD (3) 2016: 193-208 - [i1]Sebastian Pölsterl, Nassir Navab, Amin Katouzian:
An Efficient Training Algorithm for Kernel Survival Support Vector Machines. CoRR abs/1611.07054 (2016) - 2015
- [j2]Sebastian Pölsterl
Stratification of coronary artery disease patients for revascularization procedure based on estimating adverse effects. BMC Medical Informatics Decis. Mak. 15: 9 (2015) - [c2]Sebastian Pölsterl
Fast Training of Support Vector Machines for Survival Analysis. ECML/PKDD (2) 2015: 243-259 - 2011
- [c1]Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Sebastian Pölsterl
2D Image Registration in CT Images Using Radial Image Descriptors. MICCAI (2) 2011: 607-614 - [d1]Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Sebastian Pölsterl, Alexander Cavallaro:
Relative location of CT slices on axial axis. UCI Machine Learning Repository, 2011 - 2010
- [j1]Jan Krumsiek, Sebastian Pölsterl
Odefy -- From discrete to continuous models. BMC Bioinform. 11: 233 (2010)
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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