Sebastian Pölsterl

4 papers · 2020–2024 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (16)

Venues

AAAI (1) CVPR (1) JMLR (1) MIDL (1)

Top co-authors

Christian Wachinger (3) Anne-Marie Rickmann (2) Tom Nuno Wolf (2) Fabian Bongratz (2) Dennis M. Hedderich (1) Yitong Li (1) Igor Yakushev (1)

Research topics

Deep Learning (3) Machine Learning (3) Healthcare & Medicine (2) Application Areas (2) Architectures (2) Clinical (2) Core Methods (2) Learning Types (2) Artificial Intelligence (1) Computer Vision (1) Data Science & Analytics (1) Analysis (1) Core AI (1) Domain-Specific (1) Methods (1)

Keywords

self-supervised learning (1) medical imaging (1) brain imaging (1) survival analysis (1) magnetic resonance imaging (1) support vector machine (1) convolutional neural network (1) case-based reasoning (1) latent space (1) mesh generation (1) barlow twin (1) shapley value (1) hazard function (1) attribution map (1) fine tuning (1) censored data (1) balanced accuracy (1) graph convolutional neural network (1) 3d mesh generation (1) graph neural network (1)

Papers

From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data MIDL 2024 Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning AAAI 2024 Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces From 3D MRI Scans With Geometric Deep Neural Networks CVPR 2022 scikit-survival: A Library for Time-to-Event Analysis Built on Top of scikit-learn JMLR 2020