İsmail IRMAKÇI
Bilgisayar Ve Bilişim Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü, Bilgisayar Yazılımı Anabilim Dalı
Araştırma alanları: Yapay Zeka, Bilgisayarda Öğrenme ve Örüntü Tanıma, Mühendislik ve Teknoloji, Bilgisayar Bilimleri, Bilgi Güvenliği ve Güvenilirliği, Bilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği, Biyomedikal Mühendisliği, Sinyal İşleme, Tıp, Algoritmalar, Dahili Tıp Bilimleri
Yayınlar
- Tissue Contamination Challenges the Credibility of Machine Learning Models in Real World Digital Pathology (2024)
- Towards automatic cartilage quantification in clinical trials – Continuing from the 2019 IWOAI knee segmentation challenge (2023)
- Chapter 6 Building Blocks of AI (2023)
- Machine learning classification of placental villous infarction, perivillous fibrin deposition, and intervillous thrombus (2023)
- Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images (2022)
- Multi-Contrast MRI Segmentation Trained on Synthetic Images (2022)
- Musculoskeletal MR Image Segmentation with Artificial Intelligence (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)