Benchmarking Object Detection Networks for Image Based Reference Detection in Document Images. - Syed Tahseen Raza Rizvi; Adriano Lucieri; Andreas Dengel 001; Sheraz Ahmed (DICTA, 2019)

Explaining AI-Based Decision Support Systems Using Concept Localization Maps. - Adriano Lucieri; Muhammad Naseer Bajwa; Andreas Dengel 001; Sheraz Ahmed (ICONIP (4), 2020)

On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors. - Adriano Lucieri; Muhammad Naseer Bajwa; Stephan Alexander Braun; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (IJCNN, 2020)

Achievements and Challenges in Explaining Deep Learning based Computer-Aided Diagnosis Systems. - Adriano Lucieri; Muhammad Naseer Bajwa; Andreas Dengel 001; Sheraz Ahmed (CoRR, 2020)

Benchmarking Deep Learning Models for Classification of Book Covers. - Adriano Lucieri; Huzaifa Sabir; Shoaib Ahmed Siddiqui; Syed Tahseen Raza Rizvi; Brian Kenji Iwana; Seiichi Uchida; Andreas Dengel 001; Sheraz Ahmed (SN Comput. Sci., 2020)

XAI Handbook: Towards a Unified Framework for Explainable AI. - Sebastian Palacio; Adriano Lucieri; Mohsin Munir; Sheraz Ahmed; Jörn Hees; Andreas Dengel 001 (ICCVW, 2021)

Deep Learning Based Decision Support for Medicine - A Case Study on Skin Cancer Diagnosis. - Adriano Lucieri; Andreas Dengel 001; Sheraz Ahmed (CoRR, 2021)

Erklärbare KI in der medizinischen Diagnose - Erfolge und Herausforderungen. - Adriano Lucieri; Muhammad Naseer Bajwa; Andreas Dengel 001; Sheraz Ahmed (Künstliche Intelligenz im Gesundheitswesen, 2022)

Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification. - Adriano Lucieri; Fabian Schmeisser; Christoph Peter Balada; Shoaib Ahmed Siddiqui; Andreas Dengel 001; Sheraz Ahmed (MIUA, 2022)

ExAID: A multimodal explanation framework for computer-aided diagnosis of skin lesions. - Adriano Lucieri; Muhammad Naseer Bajwa; Stephan Alexander Braun; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (Comput. Methods Programs Biomed., 2022)

Privacy Meets Explainability: A Comprehensive Impact Benchmark. - Saifullah Saifullah; Dominique Mercier; Adriano Lucieri; Andreas Dengel 001; Sheraz Ahmed (CoRR, 2022)

Holistic multi-class classification & grading of diabetic foot ulcerations from plantar thermal images using deep learning. - Shishir Muralidhara; Adriano Lucieri; Andreas Dengel 001; Sheraz Ahmed (Health Inf. Sci. Syst., 2022)

PPML-TSA: A modular privacy-preserving time series classification framework. - Dominique Mercier; Adriano Lucieri; Mohsin Munir; Andreas Dengel 001; Sheraz Ahmed (Softw. Impacts, 2022)

Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification. - Dominique Mercier; Adriano Lucieri; Mohsin Munir; Andreas Dengel 001; Sheraz Ahmed (IEEE Trans. Ind. Informatics, 2022)

Translating theory into practice: assessing the privacy implications of concept-based explanations for biomedical AI. - Adriano Lucieri; Andreas Dengel 001; Sheraz Ahmed (Frontiers Bioinform., 2023)

Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery. - Payal Varshney; Adriano Lucieri; Christoph Balada; Andreas Dengel 001; Sheraz Ahmed (ICPR (12), 2024)

The privacy-explainability trade-off: unraveling the impacts of differential privacy and federated learning on attribution methods. - Saifullah Saifullah; Dominique Mercier; Adriano Lucieri; Andreas Dengel 001; Sheraz Ahmed (Frontiers Artif. Intell., 2024)

Discovering Concept Directions from Diffusion-based Counterfactuals via Latent Clustering. - Payal Varshney; Adriano Lucieri; Christoph Balada; Andreas Dengel 001; Sheraz Ahmed (CoRR, 2025)

Unifying VXAI: A Systematic Review and Framework for the Evaluation of Explainable AI. - David Dembinsky; Adriano Lucieri; Stanislav Frolov; Hiba Najjar; Ko Watanabe 001; Andreas Dengel 001 (CoRR, 2025)

Towards Facilitated Fairness Assessment of AI-based Skin Lesion Classifiers Through GenAI-based Image Synthesis. - Ko Watanabe 001; Stanislav Frolov; Adriano Lucieri; Andreas Dengel 001 (CoRR, 2025)