What Your Radiologist Might be Missing: Using Machine Learning to Identify Mislabeled Instances of X-ray Images. - Tim Rädsch; Sven Eckhardt; Florian Leiser; Konstantin D. Pandl; Scott Thiebes; Ali Sunyaev (HICSS, 2021)

Reward Systems for Trustworthy Medical Federated Learning. - Konstantin D. Pandl; Florian Leiser; Scott Thiebes; Ali Sunyaev (CoRR, 2022)

Understanding the Role of Expert Intuition in Medical Image Annotation: A Cognitive Task Analysis Approach. - Florian Leiser; Simon Warsinsky; Marie Daum; Manuel Schmidt-Kraepelin; Scott Thiebes; Martin Wagner 001; Ali Sunyaev (HICSS, 2023)

From ChatGPT to FactGPT: A Participatory Design Study to Mitigate the Effects of Large Language Model Hallucinations on Users. - Florian Leiser; Sven Eckhardt; Merlin Knaeble; Alexander Maedche; Gerhard Schwabe; Ali Sunyaev (MuC, 2023)

Applying Random Forests in Federated Learning: A Synthesis of Aggregation Techniques. - Mattis Bodynek; Florian Leiser; Scott Thiebes; Ali Sunyaev (Wirtschaftsinformatik, 2023)

Medical informed machine learning: A scoping review and future research directions. - Florian Leiser; Sascha Rank; Manuel Schmidt-Kraepelin; Scott Thiebes; Ali Sunyaev (Artif. Intell. Medicine, 2023)

HILL: A Hallucination Identifier for Large Language Models. - Florian Leiser; Sven Eckhardt; Valentin Leuthe; Merlin Knaeble; Alexander Mädche; Gerhard Schwabe; Ali Sunyaev (CHI, 2024)

Inter-Organizational Collaboration for Machine Learning: Motivating and Discouraging Factors in the Automotive Industry. - Sascha Rank; Florian Leiser; Scott Thiebes; Ali Sunyaev (ECIS, 2024)

Knowledge-Guided Learning of Temporal Dynamics and its Application to Gas Turbines. - Pawel Bielski; Aleksandr Eismont; Jakob Bach; Florian Leiser; Dustin Kottonau; Klemens Böhm (e-Energy, 2024)

Informed Machine Learning for Cardiomegaly Detection in Chest X-Rays: A Comparative Study. - Felix Hasse; Florian Leiser; Ali Sunyaev (ISBI, 2024)

Explainable artificial intelligence for omics data: a systematic mapping study. - Philipp A. Toussaint; Florian Leiser; Scott Thiebes; Matthias Schlesner; Benedikt Brors; Ali Sunyaev (Briefings Bioinform., 2024)

Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review. - Luis M. Lopez-Ramos; Florian Leiser; Aditya Rastogi; Steven Hicks; Inga Strümke; Vince I. Madai; Tobias Budig; Ali Sunyaev; Adam Hilbert (CoRR, 2024)

TELL-ME: Toward Personalized Explanations of Large Language Models. - Jakub Jeck; Florian Leiser; Anne Hüsges; Ali Sunyaev (CHI Extended Abstracts, 2025)