| Issue Date | Title | Author(s) |
| 2024 | AI-Assisted Detection of Interproximal, Occlusal, and Secondary Caries on Bite-Wing Radiographs: a Single-Shot Deep Learning Approach | Karakuş, R.; Öziç, M.Ü. ; Tassoker, M. |
| 2024 | AI-Driven localization of all impacted teeth and prediction of winter angulation for third molars on panoramic radiographs: Clinical user interface design | Zirek, T.; Öziç, M.Ü. ; Tassoker, M. |
| 2023 | An Approach to Classifying Breast Density Level Using Deep Learning-Based Segmentation Model on Full-Field Digital Mammograms | Ozic, M.U. ; Yilmaz, A.S.; Sandiraz, H.I.; Estanto, B.H. |
| 2024 | Artificial Intelligence-Based Pose Estimation Model for Anatomical Landmark Detection in Lateral Cephalometric X-Rays | Ozic, M.U. ; Gelincik, B. |
| 2023 | An autonomous system design for mold loading on press brake machines using a camera platform, deep learning, and image processing | Öziç, M.Ü. ; Barstuğan, M.; Özdamar, A. |
| 2023 | A Comparative Study of Breast Mass Detection Using YOLOv8 Deep Learning Model in Various Data Scenarios on Multi-View Digital Mammograms | Öziç, Muhammet Üsame ; Yilmaz, Ayşe Sidenur; Sandiraz, Halil İbrahim; Estanto, Baihaqi Hilmi |
| 2022 | Comparison of five convolutional neural networks for predicting osteoporosis based on mandibular cortical index on panoramic radiographs | Taşsoker, Melek; Öziç, Muhammet Usame ; Yüce, Fatma |
| 2023 | Correction to: Detection of pulpal calcifcations on bite-wing radiographs using deep learning (Clinical Oral Investigations, (2022), 27, 6, (2679-2689), 10.1007/s00784-022-04839-6) | Yuce, F.; Öziç, M.Ü. ; Tassoker, M. |
| 2025 | Deep Convolutional Neural Network for Automated Staging of Periodontal Bone Loss Severity on Bite-Wing Radiographs: an Eigen-CAM Explainability Mapping Approach | Erturk, M.; Öziç, M.Ü. ; Tassoker, M. |
| 2023 | Detection of pulpal calcifications on bite-wing radiographs using deep learning | Yuce F.; Öziç M.Ü. ; Tassoker M. |
| 2023 | Fully Automated Detection of Osteoporosis Stage on Panoramic Radiographs Using YOLOv5 Deep Learning Model and Designing a Graphical User Interface | Öziç, M.Ü. ; Tassoker, M.; Yuce, F. |
| 2024 | Performance evaluation of a deep learning model for automatic detection and localization of idiopathic osteosclerosis on dental panoramic radiographs | Tassoker, M.; Öziç, M.Ü. ; Yuce, F. |
| 2024 | Performance evaluation of different deep learning models for classifying ischemic, hemorrhagic, and normal computed tomography images: transfer learning approaches | Altıntaş, Mustafa ; Öziç, Muhammet Üsame |
