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Ilkay Oksuz

Showing results (1-10 of 33) with videos related to

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Computer Methods and Programs in Biomedicine|December 29, 2020
Brain MRI artefact detection and correction using convolutional neural networksIlkay Oksuz
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Pic2Diagnosis: A Method for Diagnosis of Cardiovascular Diseases from the Printed ECG PicturesOguzhan Buyuksolak, Ilkay Oksuz
IEEE Reviews in Biomedical Engineering|December 17, 2021
A Survey on Shape-Constraint Deep Learning for Medical Image SegmentationSimon Bohlender, Ilkay Oksuz, Anirban Mukhopadhyay
Biomedical Materials (Bristol, England)|April 16, 2024
3D printing of an artificial intelligence-generated patient-specific coronary artery segmentation in a support bathSerkan Sokmen, Soner Cakmak, Ilkay Oksuz
Energies|June 17, 2021
The Financial Effect of the Electricity Price Forecasts' Inaccuracy on a Hydro-Based Generation CompanyUmut Ugurlu, Oktay Tas, Aycan Kaya, et al.
IEEE Transactions on Medical Imaging|July 15, 2017
Unsupervised Myocardial Segmentation for Cardiac BOLDIlkay Oksuz, Anirban Mukhopadhyay, Rohan Dharmakumar, et al.
Health Information Science and Systems|January 23, 2026
Consistent explainable image quality assessment for medical imagingCaner Ozer, Arda Guler, Aysel Turkvatan Cansever, et al.
The British Journal of Radiology|March 8, 2021
Comparison of machine learning methods for prediction of osteoradionecrosis incidence in patients with head and neck cancerLaia Humbert-Vidan, Vinod Patel, Ilkay Oksuz, et al.
Insights Into Imaging|June 19, 2023
Anatomically guided self-adapting deep neural network for clinically significant prostate cancer detection on bi-parametric MRI: a multi-center studyAhmet Karagoz, Deniz Alis, Mustafa Ege Seker, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 4, 2020
A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent HomologyJames R Clough, Nicholas Byrne, Ilkay Oksuz, et al.
Pageof 4

Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
Computer Methods and Programs in Biomedicine|December 29, 2020
Brain MRI artefact detection and correction using convolutional neural networksIlkay Oksuz
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Pic2Diagnosis: A Method for Diagnosis of Cardiovascular Diseases from the Printed ECG PicturesOguzhan Buyuksolak, Ilkay Oksuz
IEEE Reviews in Biomedical Engineering|December 17, 2021
A Survey on Shape-Constraint Deep Learning for Medical Image SegmentationSimon Bohlender, Ilkay Oksuz, Anirban Mukhopadhyay
Biomedical Materials (Bristol, England)|April 16, 2024
3D printing of an artificial intelligence-generated patient-specific coronary artery segmentation in a support bathSerkan Sokmen, Soner Cakmak, Ilkay Oksuz
Energies|June 17, 2021
The Financial Effect of the Electricity Price Forecasts' Inaccuracy on a Hydro-Based Generation CompanyUmut Ugurlu, Oktay Tas, Aycan Kaya, et al.
IEEE Transactions on Medical Imaging|July 15, 2017
Unsupervised Myocardial Segmentation for Cardiac BOLDIlkay Oksuz, Anirban Mukhopadhyay, Rohan Dharmakumar, et al.
Health Information Science and Systems|January 23, 2026
Consistent explainable image quality assessment for medical imagingCaner Ozer, Arda Guler, Aysel Turkvatan Cansever, et al.
The British Journal of Radiology|March 8, 2021
Comparison of machine learning methods for prediction of osteoradionecrosis incidence in patients with head and neck cancerLaia Humbert-Vidan, Vinod Patel, Ilkay Oksuz, et al.
Insights Into Imaging|June 19, 2023
Anatomically guided self-adapting deep neural network for clinically significant prostate cancer detection on bi-parametric MRI: a multi-center studyAhmet Karagoz, Deniz Alis, Mustafa Ege Seker, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 4, 2020
A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent HomologyJames R Clough, Nicholas Byrne, Ilkay Oksuz, et al.
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