Follow
Ismail Irmakci
Title
Cited by
Cited by
Year
Capsules for biomedical image segmentation
R LaLonde, Z Xu, I Irmakci, S Jain, U Bagci
Medical image analysis 68, 101889, 2021
822021
Deep learning for musculoskeletal image analysis
I Irmakci, SM Anwar, DA Torigian, U Bagci
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1481-1485, 2019
292019
A novel extension to fuzzy connectivity for body composition analysis: Applications in thigh, brain, and whole body tissue segmentation
I Irmakci, S Hussein, A Savran, RR Kalyani, D Reiter, CW Chia, ...
IEEE Transactions on Biomedical Engineering 66 (4), 1069-1081, 2018
172018
Semi-supervised deep learning for multi-tissue segmentation from multi-contrast MRI
SM Anwar, I Irmakci, DA Torigian, S Jambawalikar, GZ Papadakis, ...
Journal of Signal Processing Systems, 1-14, 2022
142022
Hierarchical 3d feature learning forpancreas segmentation
F Proietto Salanitri, G Bellitto, I Irmakci, S Palazzo, U Bagci, C Spampinato
Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021
112021
Information bottleneck attribution for visual explanations of diagnosis and prognosis
U Demir, I Irmakci, E Keles, A Topcu, Z Xu, C Spampinato, ...
Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021
82021
Machine learning classification of placental villous infarction, perivillous fibrin deposition, and intervillous thrombus
JA Goldstein, R Nateghi, I Irmakci, LAD Cooper
Placenta 135, 43-50, 2023
62023
Musculoskeletal MR image segmentation with artificial intelligence
E Keles, I Irmakci, U Bagci
Advances in clinical radiology 4 (1), 179-188, 2022
52022
Neural transformers for intraductal papillary mucosal neoplasms (IPMN) classification in MRI images
FP Salanitri, G Bellitto, S Palazzo, I Irmakci, M Wallace, C Bolan, M Engels, ...
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
52022
Otomatik araç plaka tanıma sistemi
İ Irmakçi
Fen Bilimleri Enstitüsü, 2008
42008
Multi-contrast MRI segmentation trained on synthetic images
I Irmakci, ZE Unel, N Ikizler-Cinbis, U Bagci
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
32022
Tissue contamination challenges the credibility of machine learning models in real world digital pathology
I Irmakci, R Nateghi, R Zhou, M Vescovo, M Saft, AE Ross, XJ Yang, ...
Modern Pathology, 100422, 2024
12024
Building Blocks of AI
U Bagci, I Irmakci, U Demir, E Keles
AI in Clinical Medicine: A Practical Guide for Healthcare Professionals, 56-65, 2023
12023
Towards automatic cartilage quantification in clinical trials–Continuing from the 2019 IWOAI Knee Segmentation Challenge
EB Dam, AD Desai, CM Deniz, HR Rajamohan, R Regatte, C Iriondo, ...
Osteoarthritis Imaging 3 (1), 100087, 2023
12023
MULTI-INSTITUTIONAL LARGE-SCALE VALIDATION OF 8 METHODS FOR AUTOMATIC KNEE MRI SEGMENTATION FOR USE IN CLINICAL TRIALS
EB Dam, A Desai, C Deniz, H Rajamohan, R Regatte, C Iriondo, V Pedoia, ...
Osteoarthritis and Cartilage 30, S291-S292, 2022
2022
MISSED DIAGNOSIS OF PANCREATIC DUCTAL ADENOCARCINOMA DETECTION USING DEEP CONVOLUTIONAL NEURAL NETWORK
SA Hoogenboom, K Ravi, MM Engels, I Irmakci, E Keles, CW Bolan, ...
Gastroenterology 160 (6), S-18, 2021
2021
Hierarchical 3D Feature Learning forPancreas Segmentation
G Bellitto, I Irmakci, S Palazzo, U Bagci, C Spampinato
Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2021
2021
Otomatik gürbüz bölütleme ile uyluk MR imgelerinde kas ve yağ miktarlarının belirlenmesi
İ Irmakçi
Fen Bilimleri Enstitüsü, 2017
2017
The system can't perform the operation now. Try again later.
Articles 1–18