Publications

Yitong Li, Tom Nuno Wolf, Sebastian Pölsterl, Igor Yakushev, Dennis M. Hedderich, Christian Wachinger (2024). From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data. MIDL.

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Tom Nuno Wolf, Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger (2023). Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning. AAAI.

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Tom Nuno Wolf, Christian Wachinger, Sebastian Pölsterl (2023). Deep learning for the prediction of type 2 diabetes mellitus from neck-to-knee Dixon MRI in the UK biobank. Heliyon.

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Richard Gaus, Sebastian Pölsterl, Ellen Greimel, Gerd Schulte-Körne, Christian Wachinger (2023). Can we diagnose mental disorders in children? A large-scale assessment of machine learning on structural neuroimaging of 6916 children in the adolescent brain cognitive development study. JCPP Advances.

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David Cunillera-Montcusí, José María Fernández-Calero, Sebastian Pölsterl, Roger Argelich, Pau Fortuño, Núria Cid, Núria Bonada, Miguel Cañedo-Argüelles (2023). Navigating through space and time: A methodological approach to quantify spatiotemporal connectivity using stream flow data as a case study. MEE.

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Tom Nuno Wolf, Sebastian Pölsterl, Christian Wachinger (2023). Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease. IPMI.

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Sebastian Pölsterl, Christian Wachinger (2022). Identification of causal effects of neuroanatomy on cognitive decline requires modeling unobserved confounders. Alzheimer’s Dement.

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Anne-Marie Rickmann, Fabian Bongratz, Sebastian Pölsterl, Ignacio Sarasua, Christian Wachinger (2022). Joint Reconstruction and Parcellation of Cortical Surfaces. MLCN.

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Tom Nuno Wolf, Sebastian Pölsterl, Christian Wachinger (2022). DAFT: A Universal Module to Interweave Tabular Data and 3D Images in CNNs. NeuroImage.

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Marla Narazani, Ignacio Sarasua, Sebastian Pölsterl, Aldana Lizarraga, Igor Yakushev, Christian Wachinger (2022). Is a PET all you need? A multi-modal study for Alzheimer's disease using 3D CNNs. MICCAI.

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Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger (2022). CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis. MICCAI.

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Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger (2022). Hippocampal representations for deep learning on Alzheimer’s disease. Scientific Reports.

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Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger (2022). Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks. CVPR.

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David Pineda-Morante, José María Fernández-Calero, Sebastian Pölsterl, David Cunillera-Montcusí, Núria Bonada, Miguel Cañedo-Argüelles (2022). Local hydrological conditions and spatial connectivity shape invertebrate communities after rewetting in temporary rivers. Hydrobiologia.

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Raphael Ronge, Kwangsik Nho, Christian Wachinger, Sebastian Pölsterl (2021). Alzheimer’s Disease Diagnosis via Deep Factorization Machine Models. MLMI.

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Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger (2021). TransforMesh: A Transformer Network for Longitudinal Modeling of Anatomical Meshes. MLMI.

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Sebastian Pölsterl, Christina Aigner, Christian Wachinger (2021). Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data. MICCAI.

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Sebastian Pölsterl, Tom Nuno Wolf, Christian Wachinger (2021). Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform. MICCAI.

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Philipp Kopper, Sebastian Pölsterl, Christian Wachinger, Bernd Bischl, Andreas Bender, David Rügamer (2021). Semi-Structured Deep Piecewise Exponential Models. Proceedings of AAAI Spring Symposium on Survival Prediction.

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Sebastian Pölsterl, Christian Wachinger (2021). Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum. IPMI.

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Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger (2020). Recalibration of Neural Networks for Point Cloud Analysis. 3DV.

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Sebastian Pölsterl (2020). scikit-survival: A Library for Time-to-Event Analysis Built on Top of scikit-learn. JMLR.

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Christian Wachinger, Anna Rieckmann, Sebastian Pölsterl (2020). Detect and Correct Bias in Multi-Site Neuroimaging Datasets. Medical Image Analysis.

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Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Anette Peters, Fabian Bamberg, Christian Wachinger (2020). Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. MLMI.

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Sebastian Pölsterl, Christian Wachinger (2020). Adversarial Learned Molecular Graph Inference and Generation. ECML-PKDD.

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Sebastian Pölsterl, Abhijit Guha Roy, Shayan A. Siddiqui, Nassir Navab, Christian Wachinger (2019). 'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images. Medical Image Analysis.

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Christian Wachinger, Benjamin Gutierrez-Becker, Anna Rieckmann, Sebastian Pölsterl (2019). Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference. MICCAI.

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Sebastian Pölsterl, Benjamin Gutierrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger (2019). Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images. Adolescent Brain Cognitive Development Neurocognitive Prediction Challenge (ABCD-NP-Challenge).

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Sebastian Pölsterl, Benjamin Gutierrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger (2019). An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features. Adolescent Brain Cognitive Development Neurocognitive Prediction Challenge (ABCD-NP-Challenge).

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Sebastian Pölsterl, Ignacio Sarasua, Benjamin Gutierrez-Becker, Christian Wachinger (2019). A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data. 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).

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Adam Stewart, Elizabeth A. Coker, Sebastian Pölsterl, Alexandros Georgiou, Anna R. Minchom, Suzanne Carreira, David Cunningham, Mary E.R. O’Brien, Florence I. Raynaud, Johann S. de Bono, Bissan Al-Lazikani, Udai Banerji (2019). Differences in Signaling Patterns on PI3K Inhibition Reveal Context Specificity in KRAS-Mutant Cancers. Molecular Cancer Therapeutics.

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Alexandros Georgiou, Adam Stewart, Parames Thavasu, Elizabeth A. Coker, Sebastian Pölsterl, Bissan Al-Lazikani, David Cunningham, Steven Whittaker, Udai Banerji (2018). KRAS mutant and RAS/BRAF wild type colorectal cancer cells exhibit differences in the rewiring of signal transduction that can impact on future therapeutic strategies. Annals of Oncology.

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Sebastian Pölsterl, Anna Wilkins, Sarah Gulliford, James Campbell, Carmen Rodriguez-Gonzalvez, Sheng Yu, Veronica Garcia-Perez, Claire Griffin, Judith Bliss, John Yarnold, Uwe Oelfke, David Dearnaley, Emma Hall, Bissan Al-Lazikani, Navita Somaiah (2017). Big-RT: Big Data Analysis to Identify Combinatorial Predictors of Radiotherapy Toxicity for Personalised Treatment in Prostate Cancer Patients. National Cancer Research Institute (NCRI) Cancer Conference.

Poster

Adam Stewart, Elizabeth A. Coker, Anna Minchom, Sebastian Pölsterl, Alexandros Georgiou, Paul Huang, Bissan Al-Lazikani, Udai Banerji (2017). A translational phosphoproteomic approach to study differences in KRAS signaling in pancreatic, colorectal and lung cancers. Cancer Research.

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Justin Guinney, Tao Wang, Teemu D Laajala, Kimberly Kanigel Winner, J Christopher Bare, Elias Chaibub Neto, Suleiman A Khan, Gopal Peddinti, Antti Airola, Tapio Pahikkala, Tuomas Mirtti, Thomas Yu, Brian M Bot, Liji Shen, Kald Abdallah, Thea Norman, Stephen Friend, Gustavo Stolovitzky, Howard Soule, Christopher J Sweeney, Charles J Ryan, Howard I Scher, Oliver Sartor, Yang Xie, Tero Aittokallio, Fang Liz Zhou, James C Costello, Kald Abdallah, Tero Aittokallio, Antti Airola, Catalina Anghe, Helia Azima, Robert Baertsch, Pedro J Ballester, Chris Bare, Vinayak Bhandari, Brian M Bot, Cuong C Dang, Maria Bekker-Nielsen Dunbar, Ann-Sophie Buchardt, Ljubomir Buturovic, Da Cao, Prabhakar Chalise, Junwoo Cho, Tzu-Ming Chu, R Yates Coley, Sailesh Conjeti, Sara Correia, James C Costello, Ziwei Dai, Junqiang Dai, Philip Dargatz, Sam Delavarkhan, Detian Deng, Ankur Dhanik, Yu Du, Aparna Elangovan, Shellie Ellis, Laura L Elo, Shadrielle M Espiritu, Fan Fan, Ashkan B Farshi, Ana Freitas, Brooke Fridley, Stephen Friend, Christiane Fuchs, Eyal Gofer, Gopalacharyulu Peddinti, Stefan Graw, Russ Greiner, Yuanfang Guan, Justin Guinney, Jing Guo, Pankaj Gupta, Anna I Guyer, Jiawei Han, Niels R Hansen, Billy H W Chang, Outi Hirvonen, Barbara Huang, Chao Huang, Jinseub Hwang, Joseph G Ibrahim, Vivek Jayaswa, Jouhyun Jeon, Zhicheng Ji, Deekshith Juvvadi, Sirkku Jyrkkiö, Kimberly Kanigel-Winner, Amin Katouzian, Marat D Kazanov, Suleiman A Khan, Shahin Khayyer, Dalho Kim, Agnieszka K Golinska, Devin Koestler, Fernanda Kokowicz, Ivan Kondofersky, Norbert Krautenbacher, Damjan Krstajic, Luke Kumar, Christoph Kurz, Matthew Kyan, Teemu D Laajala, Michael Laimighofer, Eunjee Lee, Wojciech Lesinski, Miaozhu Li, Ye Li, Qiuyu Lian, Xiaotao Liang, Minseong Lim, Henry Lin, Xihui Lin, Jing Lu, Mehrad Mahmoudian, Roozbeh Manshaei, Richard Meier, Dejan Miljkovic, Tuomas Mirtti, Krzysztof Mnich, Nassir Navab, Elias C Neto, Yulia Newton, Thea Norman, Tapio Pahikkala, Subhabrata Pal, Byeongju Park, Jaykumar Patel, Swetabh Pathak, Alejandrina Pattin, Donna P Ankerst, Jian Peng, Anne H Petersen, Robin Philip, Stephen R Piccolo, Sebastian Pölsterl, Aneta Polewko-Klim, Karthik Rao, Xiang Ren, Miguel Rocha, Witold R Rudnicki, Charles J Ryan, Hyunnam Ryu, Oliver Sartor, Hagen Scherb, Raghav Sehgal, Fatemeh Seyednasrollah, Jingbo Shang, Bin Shao, Liji Shen, Howard Sher, Motoki Shiga, Artem Sokolov, Julia F Söllner, Lei Song, Howard Soule, Gustavo Stolovitzky, Josh Stuart, Ren Sun, Christopher J Sweeney, Nazanin Tahmasebi, Kar-Tong Tan, Lisbeth Tomaziu, Joseph Usset, Yeeleng S Vang, Roberto Vega, Vitor Vieira, David Wang, Difei Wang, Junmei Wang, Lichao Wang, Sheng Wang, Tao Wang, Yue Wang, Russ Wolfinger, Chris Wong, Zhenke Wu, Jinfeng Xiao, Xiaohui Xie, Yang Xie, Doris Xin, Hojin Yang, Nancy Yu, Thomas Yu, Xiang Yu, Sulmaz Zahedi, Massimiliano Zanin, Chihao Zhang, Jingwen Zhang, Shihua Zhang, Yanchun Zhang, Fang Liz Zhou, Hongtu Zhu, Shanfeng Zhu, Yuxin Zhu (2016). Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data. Lancet Oncology.

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Sebastian Pölsterl, Gupta Pankaj, Lichao Wang, Sailesh Conjeti, Amin Katouzian, Nassir Navab (2016). Heterogeneous Ensembles for Predicting Survival of Metastatic, Castrate-Resistant Prostate Cancer Patients. F1000Research.

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Rustem Bekmukhametov, Sebastian Pölsterl, Thomas Allmendinger, Minh-Duc Doan, Nassir Navab (2016). Automatic Detection of Non-Biological Artifacts in ECGs Acquired During Cardiac Computed Tomography. Machine Learning and Knowledge Discovery in Databases.

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Sebastian Pölsterl, Nassir Navab, Amin Katouzian (2016). An Efficient Training Algorithm for Kernel Survival Support Vector Machines. 3rd Workshop on Machine Learning in Life Sciences.

Preprint Poster Slides

Sebastian Pölsterl, Sailesh Conjeti, Nassir Navab, Amin Katouzian (2016). Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection. Artificial Intelligence in Medicine.

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Sebastian Pölsterl (2016). Algorithms for Large-scale Learning from Heterogeneous Survival Data.

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Sebastian Pölsterl, Maneesh Singh, Amin Katouzian, Nassir Navab, Adnan Kastrati, Lance Ladic, Ali Kamen (2015). Stratification of coronary artery disease patients for revascularization procedure based on estimating adverse effects. BMC Medical Informatics and Decision Making.

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Sebastian Pölsterl, Nassir Navab, Amin Katouzian (2015). Fast Training of Support Vector Machines for Survival Analysis. Machine Learning and Knowledge Discovery in Databases.

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Franz Graf, Hans-Peter Kriegel, Sebastian Pölsterl, Matthias Schubert, Alexander Cavallaro (2011). Position prediction in CT volume scans. Proc. of the 28th International Conference on Machine Learning (ICML). Workshop on Learning for Global Challenges.

Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Sebastian Pölsterl, Alexander Cavallaro (2011). 2D Image Registration in CT Images Using Radial Image Descriptors. MICCAI.

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Jan Krumsiek, Sebastian Pölsterl, Dominik M Wittmann, Fabian J Theis (2010). Odefy -- From discrete to continuous models. BMC Bioinformatics.

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