| 2025 | MICCAI | GLIMS-MedNeXt: An Ensemble Framework for Brain MRI Segmentation in Sub-Saharan Africa. | Ali Azmoudeh, Ilkay ksz, Hazim Kemal Ekenel |
| 2025 | MICCAI | Local2Global: UNet with Hierarchical Attention Mechanisms for Improved MR Image Inpainting. | Erdi Saritas, Ilkay ksz, Hazim Kemal Ekenel |
| 2025 | MICCAI | Adaptive K-Space Radial Sampling for Cardiac MRI with Reinforcement Learning. | Ruru Xu, Ilkay ksz |
| 2025 | MICCAI | HierAdaptMR: Cross-Center Cardiac MRI Reconstruction with Hierarchical Feature Adapters. | Ruru Xu, Ilkay ksz |
| 2024 | MICCAI | Mammographic Breast Positioning Assessment via Deep Learning. | Toygar Tanyel, Nurper Denizoglu, Mustafa Ege Seker, Deniz Alis, Esma Cerekci, Ercan Karaarslan, Erkin Aribal, Ilkay ksz |
| 2024 | MICCAI | HyperCMR: Enhanced Multi-contrast CMR Reconstruction with Eagle Loss. | Ruru Xu, Caner zer, Ilkay ksz |
| 2023 | MICCAI | Attention-Enhanced Hybrid Feature Aggregation Network for 3D Brain Tumor Segmentation. | Ziya Ata Yazici, Ilkay ksz, Hazim Kemal Ekenel |
| 2022 | MICCAI | Segmentation-Aware MRI Reconstruction. | Mert Acar, Tolga ukur, Ilkay ksz |
| 2022 | MICCAI | Shifted Windows Transformers for Medical Image Quality Assessment. | Caner zer, Arda Gler, Aysel Turkvatan Cansever, Deniz Alis, Ercan Karaarslan, Ilkay ksz |
| 2022 | MICCAI | Diagnosing Knee Injuries from MRI with Transformer Based Deep Learning. | Gkay Sezen, Ilkay ksz |
| 2021 | MICCAI | Self-supervised Dynamic MRI Reconstruction. | Mert Acar, Tolga ukur, Ilkay ksz |
| 2020 | MICCAI | Accurate Myocardial Pathology Segmentation with Residual U-Net. | Elif Altunok, Ilkay ksz |
| 2019 | MICCAI | Global and Local Interpretability for Cardiac MRI Classification. | James R. Clough, Ilkay ksz, Esther Puyol-Antn, Bram Ruijsink, Andrew P. King, Julia A. Schnabel |
| 2019 | MICCAI | Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space. | Ilkay ksz, James R. Clough, Bram Ruijsink, Esther Puyol-Antn, Aurlien Bustin, Gasto Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel |
| 2019 | MICCAI | Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. | Esther Puyol-Antn, Bram Ruijsink, James R. Clough, Ilkay ksz, Daniel Rueckert, Reza Razavi, Andrew P. King |
| 2018 | MICCAI | Left-Ventricle Quantification Using Residual U-Net. | Eric Kerfoot, James R. Clough, Ilkay ksz, Jack Lee, Andrew P. King, Julia A. Schnabel |
| 2018 | MICCAI | Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction. | Ilkay ksz, James R. Clough, Aurlien Bustin, Gasto Cruz, Claudia Prieto, Ren M. Botnar, Daniel Rueckert, Julia A. Schnabel, Andrew P. King |
| 2018 | MICCAI | Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection. | Ilkay ksz, Bram Ruijsink, Esther Puyol-Antn, Aurlien Bustin, Gasto Cruz, Claudia Prieto, Daniel Rueckert, Julia A. Schnabel, Andrew P. King |
| 2017 | MICCAI | Joint Myocardial Registration and Segmentation of Cardiac BOLD MRI. | Ilkay ksz, Rohan Dharmakumar, Sotirios A. Tsaftaris |
| 2016 | MICCAI | MRI-TRUS Image Synthesis with Application to Image-Guided Prostate Intervention. | John A. Onofrey, Ilkay ksz, Saradwata Sarkar, Rajesh Venkataraman, Lawrence H. Staib, Xenophon Papademetris |
| 2015 | MICCAI | Unsupervised Myocardial Segmentation for Cardiac MRI. | Anirban Mukhopadhyay, Ilkay ksz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris |
| 2015 | MICCAI | Supervised Learning of Functional Maps for Infarct Classification. | Anirban Mukhopadhyay, Ilkay ksz, Sotirios A. Tsaftaris |
| 2015 | MICCAI | Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR. | Ilkay ksz, Anirban Mukhopadhyay, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris |