Ozan Oktay
Orcid: 0000-0003-2976-0874
According to our database1,
Ozan Oktay
authored at least 62 papers
between 2013 and 2024.
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Bibliography
2024
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology.
CoRR, 2024
CoRR, 2024
2023
CoRR, 2023
CoRR, 2023
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging.
CoRR, 2023
Region-based Contrastive Pretraining for Medical Image Retrieval with Anatomic Query.
CoRR, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
CoRR, 2021
2020
IEEE Trans. Medical Imaging, 2020
2019
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Medical Imaging, 2019
Medical Image Anal., 2019
OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions.
Medical Image Anal., 2019
Medical Image Anal., 2019
Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling.
CoRR, 2019
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study.
CoRR, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation.
IEEE Trans. Medical Imaging, 2018
TernaryNet: faster deep model inference without GPUs for medical 3D segmentation using sparse and binary convolutions.
Int. J. Comput. Assist. Radiol. Surg., 2018
A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
2017
Fully Convolutional Networks in Medical Imaging: Applications to Image Enhancement and Recognition.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017
DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks.
IEEE Trans. Medical Imaging, 2017
Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images.
IEEE Trans. Medical Imaging, 2017
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation.
CoRR, 2017
Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Functional Imaging and Modelling of the Heart, 2017
2016
Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography.
IEEE Trans. Medical Imaging, 2016
DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks.
CoRR, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Accurate Intervertebral Disc Localisation and Segmentation in MRI Using Vantage Point Hough Forests and Multi-atlas Fusion.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2016
Respiratory Motion Correction for 2D Cine Cardiac MR Images using Probabilistic Edge Maps.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015
Classification of Myocardial Infarcted Patients by Combining Shape and Motion Features.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015
Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation.
Proceedings of the Functional Imaging and Modeling of the Heart, 2015
Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects.
Proceedings of the Functional Imaging and Modeling of the Heart, 2015
2013
Biomechanically Driven Registration of Pre- to Intra-Operative 3D Images for Laparoscopic Surgery.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013