Prior-RadGraphFormer: A Prior-Knowledge-Enhanced Transformer for Generating Radiology Graphs from X-Rays. - Yiheng Xiong; Jingsong Liu; Kamilia Zaripova; Sahand Sharifzadeh; Matthias Keicher; Nassir Navab (GRAIL/OCELOT@MICCAI, 2023)

FlexR: Few-shot Classification with Language Embeddings for Structured Reporting of Chest X-rays. - Matthias Keicher; Kamilia Zaripova; Tobias Czempiel; Kristina Mach; Ashkan Khakzar; Nassir Navab (MIDL, 2023)

Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications. - Kamilia Zaripova; Luca Cosmo; Anees Kazi; Seyed-Ahmad Ahmadi; Michael M. Bronstein; Nassir Navab (Medical Image Anal., 2023)

A Survey on Graph Construction for Geometric Deep Learning in Medicine: Methods and Recommendations. - Tamara T. Mueller; Sophie Starck; Alina Dima; Stephan Wunderlich; Kyriaki-Margarita Bintsi; Kamilia Zaripova; Rickmer Braren; Daniel Rueckert; Anees Kazi; Georgios Kaissis (Trans. Mach. Learn. Res., 2024)

Rewarding Doubt: A Reinforcement Learning Approach to Confidence Calibration of Large Language Models. - Paul Stangel; David Bani-Harouni; Chantal Pellegrini; Ege Özsoy; Kamilia Zaripova; Matthias Keicher; Nassir Navab (CoRR, 2025)

PhenoKG: Knowledge Graph-Driven Gene Discovery and Patient Insights from Phenotypes Alone. - Kamilia Zaripova; Ege Özsoy; Nassir Navab; Azade Farshad (CoRR, 2025)