PyHHMM: A Python Library for Heterogeneous Hidden Markov Models. - Fernando Moreno-Pino; Emese Sükei; Pablo M. Olmos; Antonio Artés-Rodríguez (CoRR, 2022)

Multimodal learning in clinical proteomics: enhancing antimicrobial resistance prediction models with chemical information. - Giovanni Visonà; Diane Duroux; Lucas Miranda 002; Emese Sükei; Yiran Li; Karsten M. Borgwardt; Carlos G. Oliver (Bioinform., 2023)

Improving Clinical Predictions with Multi-Modal Pre-training in Retinal Imaging. - Emese Sükei; Elisabeth Rumetshofer; Niklas Schmidinger; Andreas Mayr; Ursula Schmidt-Erfurth; Günter Klambauer; Hrvoje Bogunovic (ISBI, 2024)

Advancing OCT-Based Retinal Disease Classification with XLSTM: A Framework for Variable-Length Volume Processing. - Emese Sükei; Marzieh Oghbaie; Ursula Schmidt-Erfurth; Günter Klambauer; Hrvoje Bogunovic (ISBI, 2025)

MIRAGE: Multimodal foundation model and benchmark for comprehensive retinal OCT image analysis. - José Morano; Botond Fazekas; Emese Sükei; Ronald Fecso; Taha Emre; Markus Gumpinger; Georg Faustmann; Marzieh Oghbaie; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (CoRR, 2025)