Automatically Detecting Peaks in Terahertz Time-Domain Spectroscopy. - Henrike Stephani; Joachim Jonuscheit; Christoph Robine; Bettina Heise (ICPR, 2010)

A Feature Set for Enhanced Automatic Segmentation of Hyperspectral Terahertz Images. - Henrike Stephani; Bettina Heise; Stefan Katletz; Karin Wiesauer; Daniel Molter; Joachim Jonuscheit; Rene Beigang (IMVIP, 2011)

Automatic segmentation and clustering of spectral terahertz data. - Henrike Stephani (2012)

Hyperspectral Unmixing from Incomplete and Noisy Data. - Martin J. Montag; Henrike Stephani (J. Imaging, 2016)

On a Projected Weiszfeld Algorithm. - Sebastian Neumayer; Max Nimmer; Gabriele Steidl; Henrike Stephani (SSVM, 2017)

Modellbasiertes Lernen in der Oberflächeninspektion. - Henrike Stephani; Thomas Weibel; Ali Moghiseh (Autom., 2017)

Deep learning for image based shelve inventories. - Oliver Müller; Chiara Fend; Ali Moghiseh; Katja Schladitz; Henrike Stephani; Thomas Weibel (ISIVC, 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)

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