Patch-Based Brain Age Estimation from MR Images. - Kyriaki-Margarita Bintsi; Vasileios Baltatzis; Arinbjörn Kolbeinsson; Alexander Hammers; Daniel Rueckert (MLCN/RNO-AI@MICCAI, 2020)

The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification. - Vasileios Baltatzis; Kyriaki-Margarita Bintsi; Loïc Le Folgoc; Octavio E. Martinez Manzanera; Sam Ellis; Arjun Nair; Sujal Desai; Ben Glocker; Julia A. Schnabel (PRIME@MICCAI, 2021)

The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data. - Vasileios Baltatzis; Loïc Le Folgoc; Sam Ellis; Octavio E. Martinez Manzanera; Kyriaki-Margarita Bintsi; Arjun Nair; Sujal Desai; Ben Glocker; Julia A. Schnabel (iMIMIC/TDA4MedicalData@MICCAI, 2021)

Voxel-Level Importance Maps for Interpretable Brain Age Estimation. - Kyriaki-Margarita Bintsi; Vasileios Baltatzis; Alexander Hammers; Daniel Rueckert (iMIMIC/TDA4MedicalData@MICCAI, 2021)

GraphWalks: Efficient Shape Agnostic Geodesic Shortest Path Estimation. - Rolandos Alexandros Potamias; Alexandros Neofytou; Kyriaki-Margarita Bintsi; Stefanos Zafeiriou (CVPR Workshops, 2022)

Multimodal Brain Age Estimation Using Interpretable Adaptive Population-Graph Learning. - Kyriaki-Margarita Bintsi; Vasileios Baltatzis; Rolandos Alexandros Potamias; Alexander Hammers; Daniel Rueckert (MICCAI (8), 2023)

A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression. - Kyriaki-Margarita Bintsi; Tamara T. Mueller; Sophie Starck; Vasileios Baltatzis; Alexander Hammers; Daniel Rueckert (GRAIL/OCELOT@MICCAI, 2023)

Extended Graph Assessment Metrics for Regression and Weighted Graphs. - Tamara T. Mueller; Sophie Starck; Leonhard F. Feiner; Kyriaki-Margarita Bintsi; Daniel Rueckert; Georgios Kaissis (GRAIL/OCELOT@MICCAI, 2023)

Extended Graph Assessment Metrics for Graph Neural Networks. - Tamara T. Mueller; Sophie Starck; Leonhard F. Feiner; Kyriaki-Margarita Bintsi; Daniel Rueckert; Georgios Kaissis (CoRR, 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)

Are Population Graphs Really as Powerful as Believed? - Tamara T. Müller; Sophie Starck; Kyriaki-Margarita Bintsi; Alexander Ziller; Rickmer Braren; Georgios Kaissis; Daniel Rueckert (Trans. Mach. Learn. Res., 2024)

3D Cloud reconstruction through geospatially-aware Masked Autoencoders. - Stella Girtsou; Emiliano Diaz Salas-Porras; Lilli Freischem; Joppe Massant; Kyriaki-Margarita Bintsi; Guiseppe Castiglione; William Jones; Michael Eisinger; Emmanuel Johnson; Anna Jungbluth (CoRR, 2025)

Fully Automated Segmentation of Fiber Bundles in Anatomic Tracing Data. - Kyriaki-Margarita Bintsi; Yaël Balbastre; Jingjing Wu; Julia F. Lehman; Suzanne N. Haber; Anastasia Yendiki (CoRR, 2025)