Effect of the output activation function on the probabilities and errors in medical image segmentation. - Lars Nieradzik; Gerik Scheuermann; Dorothee Saur; Christina Gillmann (CoRR, 2021)

Automating Wood Species Detection and Classification in Microscopic Images of Fibrous Materials with Deep Learning. - Lars Nieradzik; Jördis Sieburg-Rockel; Stephanie Helmling; Janis Keuper; Thomas Weibel; Andrea Olbrich; Henrike Stephani (CoRR, 2023)

Top-GAP: Integrating Size Priors in CNNs for More Interpretability, Robustness, and Bias Mitigation. - Lars Nieradzik; Henrike Stephani; Janis Keuper (ECCV Workshops (21), 2024)

Challenging the Black Box: A Comprehensive Evaluation of Attribution Maps of CNN Applications in Agriculture and Forestry. - Lars Nieradzik; Henrike Stephani; Jördis Sieburg-Rockel; Stephanie Helmling; Andrea Olbrich; Janis Keuper (VISIGRAPP (2): VISAPP, 2024)

WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images. - Lars Nieradzik; Henrike Stephani; Jördis Sieburg-Rockel; Stephanie Helmling; Andrea Olbrich; Stephanie Wrage; Janis Keuper (CoRR, 2024)

Global burned area increasingly explained by climate change. - Seppe Lampe; Chantelle Burton; Douglas Kelley; Wim Thiery; Stijn Hantson; Nikos Christidis; Lukas Gudmundsson; Matthew Forrest; Eleanor Burke; Jinfeng Chang; Huilin Huang; Akihiko Ito; et al. (Zenodo, 2024)

Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach. - Lars Nieradzik; Henrike Stephani; Janis Keuper (Int. J. Comput. Vis., 2025)