Florian Buettner

Goethe University Frankfurt — Germany

Biochemistry, Genetics and Molecular Biology · Life Sciences

36h-index11.7kcitations159works15.52yr avg
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Research Topics

Single-cell and spatial transcriptomics(37), Advanced Radiotherapy Techniques(18), Gene expression and cancer classification(14), Gene Regulatory Network Analysis(13), Explainable Artificial Intelligence (XAI)(12)

Publications158 total

Improving Perturbation-based Explanations by Understanding the Role of Uncertainty Calibration
arXiv (Cornell University)·2025Open Access
MOFA-FLEX: A Factor Model Framework for Integrating Omics Data with Prior Knowledge
2025Open Access
2007 – TRACING CLONAL DISTRIBUTION AND DIFFERENTIATION TRAJECTORIES IN B CELL ACUTE LYMPHOBLASTIC LEUKEMIA USING SINGLE CELL BARCODING
Experimental Hematology·2025
Decoding heart failure subtypes with neural networks via differential explanation analysis
Briefings in Bioinformatics·2025Open Access
Cross-Species Morphology Learning Enables Nucleic Acid-Independent Detection of Live Mutant Blood Cells
2025Open Access
Transcription factors of the Nuclear Factor I (NFI) family control hepatocyte differentiation and cytochrome P450 activity in human liver
Pharmacological Research·2025· 3 citedOpen Access
DATS: Distance-Aware Temperature Scaling for Calibrated Class-Incremental Learning
arXiv (Cornell University)·2025Open Access
Differentiation hierarchy in adult B cell acute lymphoblastic leukemia at clonal resolution
2025Open Access
Learning interpretable representations of single-cell multi-omics data with multi-output Gaussian processes
Nucleic Acids Research·2025Open Access
An autonomous agent for auditing and improving the reliability of clinical AI models
arXiv (Cornell University)·2025Open Access
Why Uncertainty Calibration Matters for Reliable Perturbation-based Explanations
arXiv (Cornell University)·2025Open Access
Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks
arXiv (Cornell University)·2025Open Access
Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention
arXiv (Cornell University)·2025Open Access
Decoding heart failure subtypes with neural networks via differential explanation analysis
2025Open Access
Application-driven validation of posteriors in inverse problems
Medical Image Analysis·2025· 2 citedOpen Access
MoRE-LLM: Mixture of Rule Experts Guided by a Large Language Model
2024Open Access
Exploratory analysis of metabolic changes using mass spectrometry data and graph embeddings
Scientific Reports·2024· 1 citedOpen Access
Unified Analysis of Multi-order Tensors for Integrative Molecular Profiling
2024Open Access
Pathogenesis and Clinical Relevance of Diffuse Large B-Cell Lymphoma Proteogenotypes
Blood·2024Open Access
Learning interpretable representations of single-cell multi-omics data with multi-output Gaussian Processes
2024Open Access
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Frequent Co-authors

Fabian J. Theis(16), Oliver Stegle(11), John C. Marioni(10), Laleh Haghverdi(5), Kedar Nath Natarajan(5), Berthold Göttgens(5), S. Gulliford(5), Steve Webb(5), Mike Partridge(5), Carsten Marr(4), Davis J. McCarthy(4), Lena Maier‐Hein(4), Annika Reinke(4), Patrick Godau(4), Minu D. Tizabi(4), Evangelia Christodoulou(4), Ben Glocker(4), Fabian Isensee(4), Jens Kleesiek(4), Michal Kozubek(4)