Quantum-classical convolutional neural networks in radiological image classification. - Andrea Matic; Maureen Monnet; Jeanette Miriam Lorenz; Balthasar Schachtner; Thomas Messerer (QCE, 2022)

Quantum Reinforcement Learning for Solving a Stochastic Frozen Lake Environment and the Impact of Quantum Architecture Choices. - Theodora-Augustina Dragan; Maureen Monnet; Christian B. Mendl; Jeanette Miriam Lorenz (ICAART (2), 2023)

Pooling Techniques in Hybrid Quantum-Classical Convolutional Neural Networks. - Maureen Monnet; Hanady Gebran; Andrea Matic-Flierl; Florian J. Kiwit; Balthasar Schachtner; Amine Bentellis; Jeanette Miriam Lorenz (QCE, 2023)

Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models. - Poulami Sinhamahapatra; Lena Heidemann; Maureen Monnet; Karsten Roscher (VISIGRAPP (5: VISAPP), 2023)

Concept Correlation and Its Effects on Concept-Based Models. - Lena Heidemann; Maureen Monnet; Karsten Roscher (WACV, 2023)

Towards Engineered Safe AI with Modular Concept Models. - Lena Heidemann; Iwo Kurzidem; Maureen Monnet; Karsten Roscher; Stephan Günnemann (CVPR Workshops, 2024)

Understanding the Effects of Data Encoding on Quantum-Classical Convolutional Neural Networks. - Maureen Monnet; Nermine Chaabani; Theodora-Augustina Dragan; Balthasar Schachtner; Jeanette Miriam Lorenz (QCE, 2024)

AI-Driven Approaches for Glaucoma Detection - A Comprehensive Review. - Yuki Hagiwara; Octavia-Andreea Ciora; Maureen Monnet; Gino Lancho; Jeanette Miriam Lorenz (CoRR, 2024)