Biomechanically Driven Registration of Pre- to Intra-Operative 3D Images for Laparoscopic Surgery. - Ozan Oktay; Li Zhang 024; Tommaso Mansi; Peter Mountney; Philip Walter Mewes; Stéphane Nicolau; Luc Soler; Christophe Chefd'Hotel (MICCAI (2), 2013)

Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects. - Wenjia Bai; Devis Peressutti; Ozan Oktay; Wenzhe Shi; Declan P. O'Regan; Andrew P. King; Daniel Rueckert (FIMH, 2015)

Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation. - Ozan Oktay; Alberto Gómez 002; Kevin Keraudren; Andreas Schuh; Wenjia Bai; Wenzhe Shi; Graeme P. Penney; Daniel Rueckert (FIMH, 2015)

Classification of Myocardial Infarcted Patients by Combining Shape and Motion Features. - Wenjia Bai; Ozan Oktay; Daniel Rueckert (STACOM@MICCAI, 2015)

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 (STACOM@MICCAI, 2015)

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 (MICCAI (3), 2015)

Structured Decision Forests for Multi-modal Ultrasound Image Registration. - Ozan Oktay; Andreas Schuh; Martin Rajchl; Kevin Keraudren; Alberto Gómez 002; Mattias P. Heinrich; Graeme P. Penney; Daniel Rueckert (MICCAI (2), 2015)

Respiratory Motion Correction for 2D Cine Cardiac MR Images using Probabilistic Edge Maps. - Ozan Oktay; Giacomo Tarroni; Wenjia Bai; Antonio de Marvao; Declan P. O'Regan; Stuart A. Cook; Daniel Rueckert (CinC, 2016)

Accurate Intervertebral Disc Localisation and Segmentation in MRI Using Vantage Point Hough Forests and Multi-atlas Fusion. - Mattias P. Heinrich; Ozan Oktay (CSI@MICCAI, 2016)

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 (MICCAI (3), 2016)

DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks. - Martin Rajchl; Matthew C. H. Lee; Ozan Oktay; Konstantinos Kamnitsas; Jonathan Passerat-Palmbach; Wenjia Bai; Bernhard Kainz; Daniel Rueckert (CoRR, 2016)

Learning under Distributed Weak Supervision. - Martin Rajchl; Matthew C. H. Lee; Franklin Schrans; Alice Davidson; Jonathan Passerat-Palmbach; Giacomo Tarroni; Amir Alansary; Ozan Oktay; Bernhard Kainz; Daniel Rueckert (CoRR, 2016)

Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography. - Olivier Bernard 001; Johan G. Bosch; Brecht Heyde; Martino Alessandrini; Daniel Barbosa 001; Sorina Camarasu-Pop; Frederic Cervenansky; Sébastien Valette; Oana Mirea; Michel Bernier; Pierre-Marc Jodoin; Jaime Santo Domingos; et al. (IEEE Trans. Medical Imaging, 2016)

Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images. - Giacomo Tarroni; Ozan Oktay; Wenjia Bai; Andreas Schuh; Hideaki Suzuki; Jonathan Passerat-Palmbach; Ben Glocker; Antonio de Marvao; Declan P. O'Regan; Stuart A. Cook; Daniel Rueckert (FIMH, 2017)

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 (MICCAI (2), 2017)

Fetal Skull Segmentation in 3D Ultrasound via Structured Geodesic Random Forest. - Juan J. Cerrolaza; Ozan Oktay; Alberto Gómez 002; Jacqueline Matthew; Caroline L. Knight; Bernhard Kainz; Daniel Rueckert (FIFI/OMIA@MICCAI, 2017)

BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions. - Mattias P. Heinrich; Ozan Oktay (MICCAI (3), 2017)

Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging. - Steven McDonagh 001; Benjamin Hou; Amir Alansary; Ozan Oktay; Konstantinos Kamnitsas; Mary A. Rutherford; Joseph V. Hajnal; Bernhard Kainz (CMMI/RAMBO/SWITCH@MICCAI, 2017)

Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets. - Matthew Sinclair; Wenjia Bai; Esther Puyol-Antón; Ozan Oktay; Daniel Rueckert; Andrew P. King (MICCAI (2), 2017)

Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation. - Ozan Oktay; Enzo Ferrante; Konstantinos Kamnitsas; Mattias P. Heinrich; Wenjia Bai; Jose Caballero; Ricardo Guerrero; Stuart A. Cook; Antonio de Marvao; Timothy Dawes; Declan P. O'Regan; Bernhard Kainz; et al. (CoRR, 2017)

Human-level CMR image analysis with deep fully convolutional networks. - Wenjia Bai; Matthew Sinclair; Giacomo Tarroni; Ozan Oktay; Martin Rajchl; Ghislain Vaillant; Aaron M. Lee; Nay Aung; Elena Lukaschuk; Mihir M. Sanghvi; Filip Zemrak; Kenneth Fung; et al. (CoRR, 2017)

Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images. - Ozan Oktay; Wenjia Bai; Ricardo Guerrero; Martin Rajchl; Antonio de Marvao; Declan P. O'Regan; Stuart A. Cook; Mattias P. Heinrich; Ben Glocker; Daniel Rueckert (IEEE Trans. Medical Imaging, 2017)

DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks. - Martin Rajchl; Matthew C. H. Lee; Ozan Oktay; Konstantinos Kamnitsas; Jonathan Passerat-Palmbach; Wenjia Bai; Mellisa Damodaram; Mary A. Rutherford; Joseph V. Hajnal; Bernhard Kainz; Daniel Rueckert (IEEE Trans. Medical Imaging, 2017)

Learning anatomical image representations for cardiac imaging. - Ozan Oktay (2017)

Fully Convolutional Networks in Medical Imaging: Applications to Image Enhancement and Recognition. - Christian F. Baumgartner; Ozan Oktay; Daniel Rueckert (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Abstract: Exploring Sparsity in CNNs for Medical Image Segmentation BRIEFnet. - Mattias P. Heinrich; Ozan Oktay (Bildverarbeitung für die Medizin, 2018)

Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. - Amir Alansary; Loïc Le Folgoc; Ghislain Vaillant; Ozan Oktay; Yuanwei Li; Wenjia Bai; Jonathan Passerat-Palmbach; Ricardo Guerrero; Konstantinos Kamnitsas; Benjamin Hou; Steven McDonagh 001; Ben Glocker; et al. (MICCAI (1), 2018)

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 (MICCAI (4), 2018)

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 (MICCAI (2), 2018)

On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains. - Enzo Ferrante; Ozan Oktay; Ben Glocker; Diego H. Milone (MLMI@MICCAI, 2018)

Real-Time Prediction of Segmentation Quality. - Robert Robinson; Ozan Oktay; Wenjia Bai; Vanya V. Valindria; Mihir M. Sanghvi; Nay Aung; José Miguel Paiva; Filip Zemrak; Kenneth Fung; Elena Lukaschuk; Aaron M. Lee; Valentina Carapella; et al. (MICCAI (4), 2018)

Bayesian Deep Learning for Accelerated MR Image Reconstruction. - Jo Schlemper; Daniel Coelho de Castro; Wenjia Bai; Chen Qin; Ozan Oktay; Jinming Duan 001; Anthony N. Price; Joseph V. Hajnal; Daniel Rueckert (MLMIR@MICCAI, 2018)

Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning. - Jo Schlemper; Ozan Oktay; Wenjia Bai; Daniel Coelho de Castro; Jinming Duan 001; Chen Qin; Joseph V. Hajnal; Daniel Rueckert (MICCAI (1), 2018)

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction. - Maximilian Seitzer; Guang Yang 006; Jo Schlemper; Ozan Oktay; Tobias Würfl; Vincent Christlein; Tom Wong; Raad Mohiaddin; David N. Firmin; Jennifer Keegan; Daniel Rueckert; Andreas K. Maier (MICCAI (1), 2018)

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 (MICCAI (2), 2018)

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 (MICCAI (1), 2018)

TernaryNet: faster deep model inference without GPUs for medical 3D segmentation using sparse and binary convolutions. - Mattias P. Heinrich; Max Blendowski; Ozan Oktay (Int. J. Comput. Assist. Radiol. Surg., 2018)

Learning-Based Quality Control for Cardiac MR Images. - Giacomo Tarroni; Ozan Oktay; Wenjia Bai; Andreas Schuh; Hideaki Suzuki; Jonathan Passerat-Palmbach; Ben Glocker; Paul M. Matthews; Daniel Rueckert (CoRR, 2018)

Attention U-Net: Learning Where to Look for the Pancreas. - Ozan Oktay; Jo Schlemper; Loïc Le Folgoc; Matthew C. H. Lee; Mattias P. Heinrich; Kazunari Misawa; Kensaku Mori; Steven G. McDonagh 001; Nils Y. Hammerla; Bernhard Kainz; Ben Glocker; Daniel Rueckert (CoRR, 2018)

Attention-Gated Networks for Improving Ultrasound Scan Plane Detection. - Jo Schlemper; Ozan Oktay; Liang Chen 018; Jacqueline Matthew; Caroline L. Knight; Bernhard Kainz; Ben Glocker; Daniel Rueckert (CoRR, 2018)

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation. - Ozan Oktay; Enzo Ferrante; Konstantinos Kamnitsas; Mattias P. Heinrich; Wenjia Bai; Jose Caballero; Stuart A. Cook; Antonio de Marvao; Timothy Dawes; Declan P. O'Regan; Bernhard Kainz; Ben Glocker; et al. (IEEE Trans. Medical Imaging, 2018)

Image-and-Spatial Transformer Networks for Structure-Guided Image Registration. - Matthew C. H. Lee; Ozan Oktay; Andreas Schuh; Michiel Schaap; Ben Glocker (MICCAI (2), 2019)

Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study. - Robert Robinson; Vanya V. Valindria; Wenjia Bai; Ozan Oktay; Bernhard Kainz; Hideaki Suzuki; Mihir M. Sanghvi; Nay Aung; José Miguel Paiva; Filip Zemrak; Kenneth Fung; Elena Lukaschuk; et al. (CoRR, 2019)

Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling. - Carlo Biffi; Juan J. Cerrolaza; Giacomo Tarroni; Wenjia Bai; Ozan Oktay; Loïc Le Folgoc; Konstantinos Kamnitsas; Antonio de Marvao; Georgia Doumou; Jinming Duan 001; Sanjay K. Prasad; Stuart A. Cook; et al. (CoRR, 2019)

Evaluating reinforcement learning agents for anatomical landmark detection. - Amir Alansary; Ozan Oktay; Yuanwei Li; Loïc Le Folgoc; Benjamin Hou; Ghislain Vaillant; Konstantinos Kamnitsas; Athanasios Vlontzos; Ben Glocker; Bernhard Kainz; Daniel Rueckert (Medical Image Anal., 2019)

OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions. - Mattias P. Heinrich; Ozan Oktay; Nassim Bouteldja (Medical Image Anal., 2019)

Attention gated networks: Learning to leverage salient regions in medical images. - Jo Schlemper; Ozan Oktay; Michiel Schaap; Mattias P. Heinrich; Bernhard Kainz; Ben Glocker; Daniel Rueckert (Medical Image Anal., 2019)

Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging. - Qingjie Meng; James Housden; Jacqueline Matthew; Daniel Rueckert; Julia A. Schnabel; Bernhard Kainz; Matthew Sinclair; Veronika A. Zimmer; Benjamin Hou; Martin Rajchl; Nicolas Toussaint; Ozan Oktay; et al. (IEEE Trans. Medical Imaging, 2019)

Learning-Based Quality Control for Cardiac MR Images. - Giacomo Tarroni; Ozan Oktay; Wenjia Bai; Andreas Schuh; Hideaki Suzuki; Jonathan Passerat-Palmbach; Antonio de Marvao; Declan P. O'Regan; Stuart A. Cook; Ben Glocker; Paul M. Matthews; Daniel Rueckert (IEEE Trans. Medical Imaging, 2019)

Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models. - Carlo Biffi; Juan J. Cerrolaza; Giacomo Tarroni; Wenjia Bai; Antonio de Marvao; Ozan Oktay; Christian Ledig; Loïc Le Folgoc; Konstantinos Kamnitsas; Georgia Doumou; Jinming Duan 001; Sanjay K. Prasad; et al. (IEEE Trans. Medical Imaging, 2020)

Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs. - Shruthi Bannur; Ozan Oktay; Melanie Bernhardt; Anton Schwaighofer; Rajesh Jena; Besmira Nushi; Sharan Wadhwani; Aditya V. Nori; Kal Natarajan; Shazad Ashraf; Javier Alvarez-Valle; Daniel C. Castro (CoRR, 2021)

Active label cleaning: Improving dataset quality under resource constraints. - Melanie Bernhardt; Daniel C. Castro; Ryutaro Tanno; Anton Schwaighofer; Kerem Can Tezcan; Miguel Monteiro; Shruthi Bannur; Matthew P. Lungren; Aditya V. Nori; Ben Glocker; Javier Alvarez-Valle; Ozan Oktay (CoRR, 2021)

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 (ECCV (36), 2022)

Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. - Shruthi Bannur; Stephanie L. Hyland; Qianchu Liu; Fernando Pérez-García; Maximilian Ilse; Daniel C. Castro; Benedikt Boecking; Harshita Sharma; Kenza Bouzid; Anja Thieme; Anton Schwaighofer; Maria Wetscherek; et al. (CVPR, 2023)

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 Pérez-García; Anton Schwaighofer; Pranav Rajpurkar; Sameer Tajdin Khanna; et al. (EMNLP, 2023)

Region-based Contrastive Pretraining for Medical Image Retrieval with Anatomic Query. - Ho Hin Lee; Alberto Santamaría-Pang; Jameson Merkow; Ozan Oktay; Fernando Pérez-García; Javier Alvarez-Valle; Ivan Tarapov (CoRR, 2023)

No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging. - Charles Jones; Daniel C. Castro; Fabio De Sousa Ribeiro; Ozan Oktay; Melissa D. McCradden; Ben Glocker (CoRR, 2023)

MAIRA-1: A specialised large multimodal model for radiology report generation. - Stephanie L. Hyland; Shruthi Bannur; Kenza Bouzid; Daniel C. Castro; Mercy Ranjit; Anton Schwaighofer; Fernando Pérez-García; Valentina Salvatelli; Shaury Srivastav; Anja Thieme; Noel Codella; Matthew P. Lungren; et al. (CoRR, 2023)

Compositional Zero-Shot Domain Transfer with Text-to-Text Models. - Fangyu Liu 001; Qianchu Liu; Shruthi Bannur; Fernando Pérez-García; Naoto Usuyama; Sheng Zhang 012; Tristan Naumann; Aditya V. Nori; Hoifung Poon; Javier Alvarez-Valle; Ozan Oktay; Stephanie L. Hyland (Trans. Assoc. Comput. Linguistics, 2023)

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; et al. (CHI, 2024)

RadEdit: Stress-Testing Biomedical Vision Models via Diffusion Image Editing. - Fernando Pérez-García; 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; et al. (ECCV (12), 2024)

RAD-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision. - Fernando Pérez-García; Harshita Sharma; Sam Bond-Taylor; Kenza Bouzid; Valentina Salvatelli; Maximilian Ilse; Shruthi Bannur; Daniel C. Castro; Anton Schwaighofer; Matthew P. Lungren; Maria Wetscherek; Noel Codella; et al. (CoRR, 2024)

Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology. - Anja Thieme; Abhijith Rajamohan; Benjamin Cooper; Heather Groombridge; Robert Simister; Barney Wong; Nicholas Woznitza; Mark Ames Pinnock; Maria Teodora Wetscherek; Cecily Morrison; Hannah Richardson; Fernando Pérez-García; et al. (CoRR, 2024)

MAIRA-2: Grounded Radiology Report Generation. - Shruthi Bannur; Kenza Bouzid; Daniel C. Castro; Anton Schwaighofer; Sam Bond-Taylor; Maximilian Ilse; Fernando Pérez-García; Valentina Salvatelli; Harshita Sharma; Felix Meissen; Mercy Ranjit; Shaury Srivastav; et al. (CoRR, 2024)

Exploring scalable medical image encoders beyond text supervision. - Fernando Pérez-García; Harshita Sharma; Sam Bond-Taylor; Kenza Bouzid; Valentina Salvatelli; Maximilian Ilse; Shruthi Bannur; Daniel C. Castro; Anton Schwaighofer; Matthew P. Lungren; Maria Teodora Wetscherek; Noel Codella; et al. (Nat. Mac. Intell., 2025)

Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology. - Anja Thieme; Abhijith Rajamohan; Benjamin Cooper; Heather Groombridge; Robert Simister; Barney Wong; Nicholas Woznitza; Mark A. Pinnock; Maria T. A. Wetscherek; Cecily Morrison; Hannah Richardson; Fernando Pérez-García; et al. (ACM Trans. Comput. Hum. Interact., 2025)