‘Squeeze & excite’ guided few-shot segmentation of volumetric images von Guha Roy, Abhijit, Siddiqui, Shayan, Pölsterl, Sebastian, Navab, Nassir, Wachinger, Christian

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Detect and correct bias in multi-site neuroimaging datasets von Wachinger, Christian, Rieckmann, Anna, Pölsterl, Sebastian

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Identification of causal effects of neuroanatomy on cognitive decline requires modeling unobserved confounders von Pölsterl, Sebastian, Wachinger, Christian

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DAFT: A universal module to interweave tabular data and 3D images in CNNs von Wolf, Tom Nuno, Pölsterl, Sebastian, Wachinger, Christian

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Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection von Pölsterl, Sebastian, Conjeti, Sailesh, Navab, Nassir, Katouzian, Amin

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2D Image Registration in CT Images Using Radial Image Descriptors von Graf, Franz, Kriegel, Hans-Peter, Schubert, Matthias, Pölsterl, Sebastian, Cavallaro, Alexander

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Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform von Pölsterl, Sebastian, Wolf, Tom Nuno, Wachinger, Christian

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

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Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference von Wachinger, Christian, Becker, Benjamin Gutierrez, Rieckmann, Anna, Pölsterl, Sebastian

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

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Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum von Pölsterl, Sebastian, Wachinger, Christian

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Adversarial Learned Molecular Graph Inference and Generation von Pölsterl, Sebastian, Wachinger, Christian

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Odefy--from discrete to continuous models von Krumsiek, Jan, Pölsterl, Sebastian, Wittmann, Dominik M, Theis, Fabian J

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Fast Training of Support Vector Machines for Survival Analysis von Pölsterl, Sebastian, Navab, Nassir, Katouzian, Amin

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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... von Gaus, Richard, Pölsterl, Sebastian, Greimel, Ellen, Schulte‐Körne, Gerd, Wachinger, Christian

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Is a PET All You Need? A Multi-modal Study for Alzheimer's Disease Using 3D CNNs von Narazani, Marla, Sarasua, Ignacio, Pölsterl, Sebastian, Lizarraga, Aldana, Yakushev, Igor, Wachinger, Christian

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Alzheimer's Disease Diagnosis via Deep Factorization Machine Models von Ronge, Raphael, Nho, Kwangsik, Wachinger, Christian, Pölsterl, Sebastian

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Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data von Pölsterl, Sebastian, Aigner, Christina, Wachinger, Christian

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CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis von Sarasua, Ignacio, Pölsterl, Sebastian, Wachinger, Christian

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Stratification of coronary artery disease patients for revascularization procedure based on estimating adverse effects von Pölsterl, Sebastian, Singh, Maneesh, Katouzian, Amin, Navab, Nassir, Kastrati, Adnan, Ladic, Lance, Kamen, Ali

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