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Halil Ertugrul Aktas

Showing results (1-10 of 10) with videos related to

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Physics in Medicine and Biology|January 14, 2026
Coronary artery segmentation in non-contrast cardiac CT using anatomy-informed contrastive learning and synthetic dataJinkui Hao, Xiaoyi He, Gorkem Durak, et al.
Bioengineering (Basel, Switzerland)|September 27, 2025
Radiomics for Detecting Metaplastic Histology in Triple-Negative Breast Cancer: A Step Towards Personalized TherapyRana Gunoz Comert, Gorkem Durak, Ravza Yilmaz, et al.
Journal of Clinical Medicine|July 29, 2025
Radiologic and Clinical Correlates of Long-Term Post-COVID-19 Pulmonary SequelaeGorkem Durak, Kaan Akin, Okan Cetin, et al.
Pancreatology : Official Journal of the International Association of Pancreatology (IAP) ... [Et Al.]|July 11, 2025
Pediatric pancreas segmentation from MRI scans with deep learningElif Keles, Merve Yazol, Gorkem Durak, et al.
IEEE Transactions on Medical Imaging|June 17, 2026
REN: Anatomically-Informed Mixture-of-Experts for Interstitial Lung Disease DiagnosisAlec K Peltekian, Halil Ertugrul Aktas, Gorkem Durak, et al.
Scientific Data|May 28, 2025
Large Scale MRI Collection and Segmentation of Cirrhotic LiverDebesh Jha, Onkar Kishor Susladkar, Vandan Gorade, et al.
Abdominal Radiology (New York)|June 2, 2026
Multimodal AI for early prediction of adverse clinical outcomes in acute pancreatitisAhmet Yasin Karkas, Yavuz B Taktak, Burak Gultekin, et al.
Research Square|March 27, 2026
Uncertainty-Aware Explainable AI for Pancreatic Cysts: Identifying Deep Learning Vulnerabilities and Ensuring Safe Clinical Triage in IPMN ManagementHalil Ertugrul Aktas, Gorkem Durak, Andrea Mia Bejar, et al.
Research Square|June 12, 2025
Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNsAndrea M Bejar, María Jaramillo Gonzalez, Ziliang Hong, et al.
Abdominal Radiology (New York)|January 12, 2026
Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNsAndrea M Bejar, Maria Jaramillo Gonzalez, Ziliang Hong, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Physics in Medicine and Biology|January 14, 2026
Coronary artery segmentation in non-contrast cardiac CT using anatomy-informed contrastive learning and synthetic dataJinkui Hao, Xiaoyi He, Gorkem Durak, et al.
Bioengineering (Basel, Switzerland)|September 27, 2025
Radiomics for Detecting Metaplastic Histology in Triple-Negative Breast Cancer: A Step Towards Personalized TherapyRana Gunoz Comert, Gorkem Durak, Ravza Yilmaz, et al.
Journal of Clinical Medicine|July 29, 2025
Radiologic and Clinical Correlates of Long-Term Post-COVID-19 Pulmonary SequelaeGorkem Durak, Kaan Akin, Okan Cetin, et al.
Pancreatology : Official Journal of the International Association of Pancreatology (IAP) ... [Et Al.]|July 11, 2025
Pediatric pancreas segmentation from MRI scans with deep learningElif Keles, Merve Yazol, Gorkem Durak, et al.
IEEE Transactions on Medical Imaging|June 17, 2026
REN: Anatomically-Informed Mixture-of-Experts for Interstitial Lung Disease DiagnosisAlec K Peltekian, Halil Ertugrul Aktas, Gorkem Durak, et al.
Scientific Data|May 28, 2025
Large Scale MRI Collection and Segmentation of Cirrhotic LiverDebesh Jha, Onkar Kishor Susladkar, Vandan Gorade, et al.
Abdominal Radiology (New York)|June 2, 2026
Multimodal AI for early prediction of adverse clinical outcomes in acute pancreatitisAhmet Yasin Karkas, Yavuz B Taktak, Burak Gultekin, et al.
Research Square|March 27, 2026
Uncertainty-Aware Explainable AI for Pancreatic Cysts: Identifying Deep Learning Vulnerabilities and Ensuring Safe Clinical Triage in IPMN ManagementHalil Ertugrul Aktas, Gorkem Durak, Andrea Mia Bejar, et al.
Research Square|June 12, 2025
Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNsAndrea M Bejar, María Jaramillo Gonzalez, Ziliang Hong, et al.
Abdominal Radiology (New York)|January 12, 2026
Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNsAndrea M Bejar, Maria Jaramillo Gonzalez, Ziliang Hong, et al.
Pageof 1