Ozan Oktay
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
5
Active years
2013–2024
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CHI | Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology. | Nur Yildirim, Hannah Richardson, Maria Teodora Wetscherek, Junaid Bajwa, Joseph Jacob, Mark Ames Pinnock, Stephen Harris, Daniel Coelho de Castro, Shruthi Bannur, Stephanie L. Hyland, Pratik Ghosh, Mercy Ranjit, Kenza Bouzid, Anton Schwaighofer, Fernando Prez-Garca, Harshita Sharma, Ozan Oktay, Matthew P. Lungren, Javier Alvarez-Valle, Aditya V. Nori, Anja Thieme |
| 2024 | ECCV | RadEdit: Stress-Testing Biomedical Vision Models via Diffusion Image Editing. | Fernando Prez-Garca, Sam Bond-Taylor, Pedro P. Sanchez, Boris van Breugel, Daniel C. Castro, Harshita Sharma, Valentina Salvatelli, Maria T. A. Wetscherek, Hannah Richardson, Matthew P. Lungren, Aditya V. Nori, Javier Alvarez-Valle, Ozan Oktay, Maximilian Ilse |
| 2023 | CVPR | Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. | Shruthi Bannur, Stephanie L. Hyland, Qianchu Liu, Fernando Prez-Garca, Maximilian Ilse, Daniel C. Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Wetscherek, Matthew P. Lungren, Aditya V. Nori, Javier Alvarez-Valle, Ozan Oktay |
| 2023 | EMNLP | Exploring the Boundaries of GPT-4 in Radiology. | Qianchu Liu, Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Maria Wetscherek, Robert Tinn, Harshita Sharma, Fernando Prez-Garca, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya V. Nori, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle |
| 2022 | ECCV | Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing. | Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Stephanie L. Hyland, Maria Wetscherek, Tristan Naumann, Aditya V. Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay |
| 2019 | MICCAI | Image-and-Spatial Transformer Networks for Structure-Guided Image Registration. | Matthew C. H. Lee, Ozan Oktay, Andreas Schuh, Michiel Schaap, Ben Glocker |
| 2018 | MICCAI | Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. | Amir Alansary, Loc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert |
| 2018 | MICCAI | Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations. | Wenjia Bai, Hideaki Suzuki, Chen Qin, Giacomo Tarroni, Ozan Oktay, Paul M. Matthews, Daniel Rueckert |
| 2018 | MICCAI | Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling. | Carlo Biffi, Ozan Oktay, Giacomo Tarroni, Wenjia Bai, Antonio M. Simoes Monteiro de Marvao, Georgia Doumou, Martin Rajchl, Reem Bedair, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert |
| 2018 | MICCAI | On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains. | Enzo Ferrante, Ozan Oktay, Ben Glocker, Diego H. Milone |
| 2018 | MICCAI | Real-Time Prediction of Segmentation Quality. | Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya V. Valindria, Mihir M. Sanghvi, Nay Aung, Jos Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Bernhard Kainz, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Daniel Rueckert, Ben Glocker |
| 2018 | MICCAI | Bayesian Deep Learning for Accelerated MR Image Reconstruction. | Jo Schlemper, Daniel Coelho de Castro, Wenjia Bai, Chen Qin, Ozan Oktay, Jinming Duan, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert |
| 2018 | MICCAI | Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning. | Jo Schlemper, Ozan Oktay, Wenjia Bai, Daniel Coelho de Castro, Jinming Duan, Chen Qin, Joseph V. Hajnal, Daniel Rueckert |
| 2018 | MICCAI | Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction. | Maximilian Seitzer, Guang Yang, Jo Schlemper, Ozan Oktay, Tobias Wrfl, Vincent Christlein, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Daniel Rueckert, Andreas K. Maier |
| 2018 | MICCAI | AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics. | Ryutaro Tanno, Antonios Makropoulos, Salim Arslan, Ozan Oktay, Sven Mischkewitz, Fouad Al-Noor, Jonas Oppenheimer, Ramin Mandegaran, Bernhard Kainz, Mattias P. Heinrich |
| 2018 | MICCAI | A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks. | Giacomo Tarroni, Ozan Oktay, Matthew Sinclair, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert |
| 2017 | MICCAI | Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation. | Wenjia Bai, Ozan Oktay, Matthew Sinclair, Hideaki Suzuki, Martin Rajchl, Giacomo Tarroni, Ben Glocker, Andrew P. King, Paul M. Matthews, Daniel Rueckert |
| 2017 | MICCAI | Fetal Skull Segmentation in 3D Ultrasound via Structured Geodesic Random Forest. | Juan J. Cerrolaza, Ozan Oktay, Alberto Gmez, Jacqueline Matthew, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert |
| 2017 | MICCAI | BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions. | Mattias P. Heinrich, Ozan Oktay |
| 2017 | MICCAI | Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging. | Steven McDonagh, Benjamin Hou, Amir Alansary, Ozan Oktay, Konstantinos Kamnitsas, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz |
| 2017 | MICCAI | Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets. | Matthew Sinclair, Wenjia Bai, Esther Puyol-Antn, Ozan Oktay, Daniel Rueckert, Andrew P. King |
| 2016 | MICCAI | Accurate Intervertebral Disc Localisation and Segmentation in MRI Using Vantage Point Hough Forests and Multi-atlas Fusion. | Mattias P. Heinrich, Ozan Oktay |
| 2016 | MICCAI | Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks. | Ozan Oktay, Wenjia Bai, Matthew C. H. Lee, Ricardo Guerrero, Konstantinos Kamnitsas, Jose Caballero, Antonio de Marvao, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert |
| 2015 | MICCAI | Classification of Myocardial Infarcted Patients by Combining Shape and Motion Features. | Wenjia Bai, Ozan Oktay, Daniel Rueckert |
| 2015 | MICCAI | Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle. | Wenjia Bai, Devis Peressutti, Sarah Parisot, Ozan Oktay, Martin Rajchl, Declan P. O'Regan, Stuart A. Cook, Andrew P. King, Daniel Rueckert |
| 2015 | MICCAI | Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features. | Kevin Keraudren, Bernhard Kainz, Ozan Oktay, Vanessa Kyriakopoulou, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert |
| 2015 | MICCAI | Structured Decision Forests for Multi-modal Ultrasound Image Registration. | Ozan Oktay, Andreas Schuh, Martin Rajchl, Kevin Keraudren, Alberto Gmez, Mattias P. Heinrich, Graeme P. Penney, Daniel Rueckert |
| 2013 | MICCAI | Biomechanically Driven Registration of Pre- to Intra-Operative 3D Images for Laparoscopic Surgery. | Ozan Oktay, Li Zhang, Tommaso Mansi, Peter Mountney, Philip Walter Mewes, Stphane Nicolau, Luc Soler, Christophe Chefd'Hotel |