| 2025 | ICCV | Unsupervised Abnormality Segmentation in Chest CT with Anatomy-Guided Latent Diffusion Model and Adaptive Thresholding. | Xueqi Guo, Yoshihisa Shinagawa, Sepehr Farhand, Halid Ziya Yerebakan, Kritika Iyer, Matthias Wolf, Gerardo Hermosillo Valadez |
| 2024 | MICCAI | SAMU: An Efficient and Promptable Foundation Model for Medical Image Segmentation. | Joseph Bae, Xueqi Guo, Halid Ziya Yerebakan, Yoshihisa Shinagawa, Sepehr Farhand |
| 2024 | MICCAI | Real Time Multi Organ Classification on Computed Tomography Images. | Halid Ziya Yerebakan, Yoshihisa Shinagawa, Gerardo Hermosillo Valadez |
| 2023 | MICCAI | A Hierarchical Descriptor Framework for On-the-Fly Anatomical Location Matching Between Longitudinal Studies. | Halid Ziya Yerebakan, Yoshihisa Shinagawa, Mahesh Ranganath, Simon Allen-Raffl, Gerardo Hermosillo Valadez |
| 2018 | COLING | Document Representation Learning for Patient History Visualization. | Halid Ziya Yerebakan, Yoshihisa Shinagawa, Parmeet S. Bhatia, Yiqiang Zhan |
| 2014 | KDD | Batch discovery of recurring rare classes toward identifying anomalous samples. | Murat Dundar, Halid Ziya Yerebakan, Bartek Rajwa |