Sebastian Pölsterl


About me:

I am a Postdoctoral Researcher. I have previously worked as data scientist at the Department of Data Science in the Institute of Cancer Research. Before that, I completed my PhD at Technische Universität München. My main research interest is machine learning for clinical data analysis.

Also see my personal website for details.

Contact: sebastian (DOT) poelsterl (AT) med (DOT) uni-muenchen (DOT) de

 

Research Interests:

  • Survival analysis
  • Learning from unstructured data
  • High-dimensional data, in particular genomics
  • Convex optimisation

Awards:

Publications:

Wolf, Tom Nuno; Pölsterl, Sebastian; Wachinger, Christian

DAFT: A Universal Module to Interweave Tabular Data and 3D Images in CNNs Journal Article

In: NeuroImage, pp. 119505, 2022.

Abstract | Links | BibTeX

Bongratz, Fabian; Rickmann, Anne-Marie; Pölsterl, Sebastian; Wachinger, Christian

Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks Inproceedings Forthcoming

In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Forthcoming.

Abstract | Links | BibTeX

Ignacio Sarasua, Sebastian Pölsterl; Wachinger, Christian

Hippocampal Representations for Deep Learning on Alzheimer's Disease Journal Article

In: Scientific reports, 12 (1), pp. 1-13, 2022, ISSN: 2045-2322.

Abstract | Links | BibTeX

Ronge, Raphael; Nho, Kwangsik; Wachinger, Christian; Pölsterl, Sebastian

Alzheimer's Disease Diagnosis via Deep Factorization Machine Models Conference

Machine Learning in Medical Imaging (MLMI), 2021.

Abstract | Links | BibTeX

Sarasua, Ignacio; Pölsterl, Sebastian; Wachinger, Christian

TransforMesh: A Transformer Network for Longitudinal modeling of Anatomical Meshes Conference

Machine Learning in Medical Imaging (MLMI), 2021.

Abstract | Links | BibTeX

Pölsterl, Sebastian; Aigner, Christina; Wachinger, Christian

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

Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021.

Abstract | Links | BibTeX

Pölsterl, Sebastian; Wolf, Tom Nuno; Wachinger, Christian

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

Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021.

Abstract | Links | BibTeX

Pölsterl, Sebastian; Wachinger, Christian

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

IPMI: International Conference on Information Processing in Medical Imaging 2021, 2021.

Abstract | Links | BibTeX

Wachinger, Christian; Rieckmann, Anna; Pölsterl, Sebastian

Detect and correct bias in multi-site neuroimaging datasets Journal Article

In: Medical Image Analysis, 67 , pp. 101879, 2020.

Abstract | Links | BibTeX

Pölsterl, Sebastian; Wachinger, Christian

Adversarial Learned Molecular Graph Inference and Generation Inproceedings

In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2020.

Abstract | Links | BibTeX

Senapati, Jyotirmay; Roy, Abhijit Guha; Pölsterl, Sebastian; Gutmann, Daniel; Gatidis, Sergios; Schlett, Christopher; Peters, Anette; Bamberg, Fabian; Wachinger, Christian

Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers Inproceedings

In: Liu, Mingxia; Yan, Pingkun; Lian, Chunfeng; Cao, Xiaohuan (Ed.): Machine Learning in Medical Imaging, pp. 270–280, Springer International Publishing, Cham, 2020, ISBN: 978-3-030-59861-7.

Abstract | Links | BibTeX

Sarasua, Ignacio; Poelsterl, Sebastian; Wachinger, Christian

Recalibration of Neural Networks for Point Cloud Analysis Inproceedings

In: 3DV, 2020.

Abstract | Links | BibTeX

Roy, Abhijit Guha; Siddiqui, Shayan; Pölsterl, Sebastian; Navab, Nassir; Wachinger, Christian

'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images Journal Article

In: Medical Image Analysis, 2019.

Links | BibTeX

Pölsterl, Sebastian; Gutiérrez-Becker, Benjamı́n; Sarasua, Ignacio; Roy, Abhijit Guha; Wachinger, Christian

An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features Inproceedings

In: Adolescent Brain Cognitive Development Neurocognitive Prediction Challenge (ABCD-NP-Challenge), 2019.

Abstract | Links | BibTeX

Pölsterl, Sebastian; Gutiérrez-Becker, Benjamı́n; Sarasua, Ignacio; Roy, Abhijit Guha; Wachinger, Christian

Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images Inproceedings

In: Adolescent Brain Cognitive Development Neurocognitive Prediction Challenge (ABCD-NP-Challenge), 2019.

Abstract | Links | BibTeX

Pölsterl, Sebastian; Sarasua, Ignacio; Gutiérrez-Becker, Benjamín; Wachinger, Christian

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

In: Data and Machine Learning Advances with Multiple Views Workshop, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2019.

Abstract | Links | BibTeX

Wachinger, Christian; Becker, Benjamin Gutierrez; Rieckmann, Anna; Pölsterl, Sebastian

Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference Incollection

In: Medical Image Computing and Computer Aided Intervention, 2019.

Abstract | Links | BibTeX

Roy, Abhijit Guha; Siddiqui, Shayan; Pölsterl, Sebastian; Navab, Nassir; Wachinger, Christian

Braintorrent: A peer-to-peer environment for decentralized federated learning Journal Article

In: arXiv preprint arXiv:1905.06731, 2019.

Links | BibTeX

Narazani, Marla; Sarasua, Ignacio; Pölsterl, Sebastian; Lizarraga, Aldana; Yakushev, Igor; Wachinger, Christian

Is a PET all you need? A multi-modal study for Alzheimer's disease using 3D CNNs Inproceedings

In: Medical Image Computing and Computer-Assisted Intervention (MICCAI), 0000.

Abstract | BibTeX

Sarasua, Ignacio; Pölsterl, Sebastian; Wachinger, Christian

CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis Inproceedings

In: Medical Image Computing and Computer-Assisted Intervention (MICCAI), 0000.

BibTeX