İsmail IRMAKÇI

Bilgisayar Ve Bilişim Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü, Bilgisayar Yazılımı Anabilim Dalı

Research areas: Artificial Intelligence, Computer Learning and Pattern Recognition, Engineering and Technology, Computer Sciences, Information Security and Reliability, Information Systems, Communication and Control Engineering, Biomedical Engineering, Signal Processing, Medicine, algorithms, Internal Medicine Sciences

Publications

• Tissue Contamination Challenges the Credibility of Machine Learning Models in Real World Digital Pathology (2024)
• Machine learning classification of placental villous infarction, perivillous fibrin deposition, and intervillous thrombus (2023)
• Towards automatic cartilage quantification in clinical trials – Continuing from the 2019 IWOAI knee segmentation challenge (2023)
• Chapter 6 Building Blocks of AI (2023)
• Musculoskeletal MR Image Segmentation with Artificial Intelligence (2022)
• Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images (2022)
• Multi-Contrast MRI Segmentation Trained on Synthetic Images (2022)
• Hierarchical 3D Feature Learning forPancreas Segmentation (2021)
• Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis (2021)
• Capsules for biomedical image segmentation (2020)
• Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI (2020)
• Deep Learning for Musculoskeletal Image Analysis (2019)
• A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation (2018)
• A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation (2018)

CV