Thomas Robert Altstidl

Machine Learning and Data Analytics Lab

A Cross-Platform Smartphone Auscultation SDK and Optimized Filters for Severe Aortic Stenosis Detection (2025) Altstidl TR, Altstidl JM, Achenbach S, Eskofier B Conference contribution ExSMART-PreRA: Explainable Survival and Risk Assessment Using Machine Learning for Time Estimation in Preclinical Rheumatoid Arthritis (2025) Salehihafshejani F, Bayat S, Schett G, Kleyer A, Altstidl TR, Eskofier B Journal article On the Scalability of Certified Adversarial Robustness with Generated Data (2024) Altstidl TR, Dobre D, Kosmala A, Eskofier B, Gidel G, Schwinn L Conference contribution, Original article The Impact of Random Models on Standardized Clustering Similarity (2024) Klede K, Altstidl TR, Zanca D, Eskofier B Journal article, Original article Non-Line-of-Sight Detection for Radio Localization using Deep State Space Models (2024) Brasseler L, Stahlke M, Altstidl TR, Feigl T, Mutschler C Conference contribution, Original article Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation (2024) Nieth B, Altstidl TR, Schwinn L, Eskofier B Conference contribution, Conference Contribution How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series (2024) Dietz S, Altstidl TR, Zanca D, Eskofier B, Nguyen A Conference contribution, Conference Contribution p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison (2023) Klede K, Altstidl TR, Zanca D, Eskofier B Conference contribution, Original article Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks (2023) Altstidl TR, Nguyen A, Schwinn L, Köferl F, Mutschler C, Eskofier B, Zanca D Conference contribution, Original article Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning (2023) Gabler E, Nissen M, Altstidl TR, Titzmann A, Packhäuser K, Maier A, Fasching P, et al. Conference contribution, Conference Contribution