Quantifying the uncertainty of neural networks using Monte Carlo dropout for deep learning based quantitative MRI. - Mehmet Yigit Avci; Ziyu Li; Qiuyun Fan; Susie Yi Huang; Berkin Bilgic; Qiyuan Tian (CoRR, 2021)

Simulation of acquisition shifts in T2 Flair MR images to stress test AI segmentation networks. - Christiane Posselt; Mehmet Yigit Avci; Mehmet Yigitsoy; Patrick Schünke; Christoph Kolbitsch; Tobias Schäffter; Stefanie Remmele (CoRR, 2023)

Unsupervised Analysis of Alzheimer's Disease Signatures using 3D Deformable Autoencoders. - Mehmet Yigit Avci; Emily Chan; Veronika A. M. Zimmer; Daniel Rueckert; Benedikt Wiestler; Julia A. Schnabel; Cosmin I. Bercea (CoRR, 2024)

MR-CLIP: Efficient Metadata-Guided Learning of MRI Contrast Representations. - Mehmet Yigit Avci; Pedro Borges; Paul Wright 001; Mehmet Yigitsoy; Sébastien Ourselin; Manuel Jorge Cardoso (CoRR, 2025)