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Articles by Thomas Neumuth
Computer Science > Robotics
Vision-language-action (VLA) policies need to recognize gaps in their training knowledge to request useful demonstrations or assistance in new situations, especially when failures are costly. Disagreement within an ensemble of independently trained policies can guide these decisions, but requires training and running multiple policies.
Unsupervised risk factor identification across cancer types and data modalities via explainable artificial intelligence
Abstract Risk stratification is an important tool in clinical decision-making, yet current approaches often fail to translate sophisticated survival analysis into actionable clinical criteria. We present a novel method for training any neural network architecture on any data modality to identify prognostically distinct patient groups by directly optimizing for survival heterogeneity across patient clusters.
MyCARdiac score: integrating cardiac imaging and biomarkers to predict outcomes in RRMM patients receiving cilta-cel - Leukemia
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To the Editor Chimeric antigen receptor (CAR) T-cell therapy has transformed treatment for relapsed and refractory multiple myeloma (RRMM), but its wider use has renewed attention to off-target toxicities.
By Thomas C. Wiemers, Nora Grieb, Maximilian Ferle, Michael Rade, David Fandrei, Patrick Born, Luise Fischer, Song-Yau Wang, Sabine Seiffert, Anja Grahnert, Maik Friedrich, Ronny Baber, Markus Kreuz, Klaus H. Metzeler, Marco Herling, Carmen D. Herling, Madlen Jentzsch, Georg-Nikolaus Franke, Andreas Boldt, Thomas Neumuth, Ulrike Kohl, Kristin Reiche, Tina Stegmann, Timm Denecke, Uwe Platzbecker, Hans-Jonas Meyer, Daniel Lavall, Maximilian Merz
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Nature
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Implicit versus explicit Bayesian priors for epistemic uncertainty estimation in clinical decision support
Loading metrics Open Access Peer-reviewed Research Article Citation: Blattmann M, Lindenmeyer A, Franke S, Neumuth T, Schneider D (2025) Implicit versus explicit Bayesian priors for epistemic uncertainty estimation in clinical decision support. PLOS Digit Health 4(7): e0000801.
Towards Trustworthy AI in Healthcare: Epistemic Uncertainty Estimation for Clinical Decision Support
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Single versus tandem autologous stem cell transplantation in newly diagnosed multiple myeloma - Bone Marrow Transplantation
Abstract Identifying patients who may benefit from autologous stem cell transplantation (ASCT) in newly diagnosed multiple myeloma is crucial, especially in the era of effective induction and consolidation strategies. We analyzed data from 12763 patients enrolled in the German Registry for Hematopoietic Stem Cell Transplantation and Cell Therapy (DRST), distinguishing those who underwent single (n = 8736) or tandem ASCT (n = 4027) from 1998 to 2021.
Impact of Pre- and Post-Processing Steps for Supervised Classification of Colorectal Cancer in Hyperspectral Images
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