RACE: Remote Analysis Computation for gene Expression data. - Michael Psarros; Steffen Heber; Manuela Sick; Gnanasekaran Thoppae; Keith Harshman; Beate Sick (Nucleic Acids Res., 2005)

Automatic quality assessment of Affymetrix GeneChip data. - Steffen Heber; Beate Sick (ACM Southeast Regional Conference, 2006)

Quality Assessment of Affymetrix GeneChip Data using the EM Algorithm and a Naive Bayes Classifier. - Brian E. Howard; Beate Sick; Imara Perera; Yang Ju Im; Heike Winter-Sederoff; Steffen Heber (BIBE, 2007)

Practical Quality Assessment of Microarray Data by Simulation of Differential Gene Expression. - Brian E. Howard; Beate Sick; Steffen Heber (ISBRA, 2009)

Unsupervised assessment of microarray data quality using a Gaussian mixture model. - Brian E. Howard; Beate Sick; Steffen Heber (BMC Bioinform., 2009)

Beyond ImageNet: Deep Learning in Industrial Practice. - Thilo Stadelmann; Vasily Tolkachev; Beate Sick; Jan Stampfli; Oliver Dürr (Applied Data Science, 2019)

Bone erosion scoring for rheumatoid arthritis with deep convolutional neural networks. - Janick Rohrbach; Tobias Reinhard; Beate Sick; Oliver Dürr (Comput. Electr. Eng., 2019)

Deep transformation models: Tackling complex regression problems with neural network based transformation models. - Beate Sick; Torsten Hothorn; Oliver Dürr (ICPR, 2020)

Single Shot MC Dropout Approximation. - Kai Brach; Beate Sick; Oliver Dürr (CoRR, 2020)

Ordinal Neural Network Transformation Models: Deep and interpretable regression models for ordinal outcomes. - Lucas Kook; Lisa Herzog; Torsten Hothorn; Oliver Dürr; Beate Sick (CoRR, 2020)

Integrating uncertainty in deep neural networks for MRI based stroke analysis. - Lisa Herzog; Elvis Murina; Oliver Dürr; Susanne Wegener; Beate Sick (Medical Image Anal., 2020)

Transformation Models for Flexible Posteriors in Variational Bayes. - Sefan Hörtling; Daniel Dold; Oliver Dürr; Beate Sick (CoRR, 2021)

Bernstein Flows for Flexible Posteriors in Variational Bayes. - Oliver Dürr; Stephan Hörling; Daniel Dold; Ivonne Kovylov; Beate Sick (CoRR, 2022)

Deep interpretable ensembles. - Lucas Kook; Andrea Götschi; Philipp F. M. Baumann; Torsten Hothorn; Beate Sick (CoRR, 2022)

Deep and interpretable regression models for ordinal outcomes. - Lucas Kook; Lisa Herzog; Torsten Hothorn; Oliver Dürr; Beate Sick (Pattern Recognit., 2022)

Distributional anchor regression. - Lucas Kook; Beate Sick; Peter Bühlmann (Stat. Comput., 2022)

Single-shot Bayesian approximation for neural networks. - Kai Brach; Beate Sick; Oliver Dürr (CoRR, 2023)

Short-Term Density Forecasting of Low-Voltage Load Using Bernstein-Polynomial Normalizing Flows. - Marcel Arpogaus; Marcus Voss; Beate Sick; Mark Nigge-Uricher; Oliver Dürr (IEEE Trans. Smart Grid, 2023)

Bayesian Semi-structured Subspace Inference. - Daniel Dold; David Rügamer; Beate Sick; Oliver Dürr (AISTATS, 2024)

NeuroTrialNER: An Annotated Corpus for Neurological Diseases and Therapies in Clinical Trial Registries. - Simona Doneva; Tilia Ellendorff; Beate Sick; Jean-Philippe Goldman; Amelia Cannon; Gerold Schneider; Benjamin Ineichen (EMNLP, 2024)

Large language models to process, analyze, and synthesize biomedical texts: a scoping review. - Simona Doneva; Sijing Qin; Beate Sick; Tilia Ellendorff; Jean-Philippe Goldman; Gerold Schneider; Benjamin Ineichen (Discov. Artif. Intell., 2024)

Estimating Conditional Distributions with Neural Networks Using R Package deeptrafo. - Lucas Kook; Philipp F. M. Baumann; Oliver Dürr; Beate Sick; David Rügamer (J. Stat. Softw., 2024)

Interpretable Neural Causal Models with TRAM-DAGs. - Beate Sick; Oliver Dürr (CLeaR, 2025)

Going beyond explainability in multi-modal stroke outcome prediction models. - Jonas Brändli; Maurice Schneeberger; Lisa Herzog; Loran Avci; Nordin Dari; Martin Häansel; Hakim Baazaoui; Pascal Bühler; Susanne Wegener; Beate Sick (CoRR, 2025)

Outcome prediction and individualized treatment effect estimation in patients with large vessel occlusion stroke. - Lisa Herzog; Pascal Bühler; Ezequiel de la Rosa; Beate Sick; Susanne Wegener (CoRR, 2025)