Point Light Source Estimation based on Scenes Recorded by a RGB-D camera. - Bas Boom; Sergio Orts-Escolano; Xi Ning; Steven McDonagh 001; Peter Sandilands; Robert B. Fisher (BMVC, 2013)

Applying semi-synchronised task farming to large-scale computer vision problems. - Steven McDonagh 001; Cigdem Beyan; Phoenix X. Huang; Robert B. Fisher (Int. J. High Perform. Comput. Appl., 2015)

Laminar and Dorsoventral Molecular Organization of the Medial Entorhinal Cortex Revealed by Large-scale Anatomical Analysis of Gene Expression. - Helen L. Ramsden; Gülsen Sürmeli; Steven G. McDonagh 001; Matthew F. Nolan (PLoS Comput. Biol., 2015)

Synthetic Prior Design for Real-Time Face Tracking. - Steven McDonagh 001; Martin Klaudiny; Derek Bradley; Thabo Beeler; Iain A. Matthews; Kenny Mitchell (3DV, 2016)

Adaptive polynomial rendering. - Bochang Moon; Steven McDonagh 001; Kenny Mitchell; Markus H. Gross (ACM Trans. Graph., 2016)

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion. - Benjamin Hou; Amir Alansary; Steven McDonagh 001; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (MICCAI (2), 2017)

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. - Konstantinos Kamnitsas; Wenjia Bai; Enzo Ferrante; Steven McDonagh 001; Matthew Sinclair; Nick Pawlowski; Martin Rajchl; Matthew C. H. Lee; Bernhard Kainz; Daniel Rueckert; Ben Glocker (BrainLes@MICCAI, 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)

Real-Time Multi-View Facial Capture with Synthetic Training. - Martin Klaudiny; Steven McDonagh 001; Derek Bradley; Thabo Beeler; Kenny Mitchell (Comput. Graph. Forum, 2017)

Noise Reduction on G-Buffers for Monte Carlo Filtering. - Bochang Moon; José Antonio Iglesias Guitián; Steven McDonagh 001; Kenny Mitchell (Comput. Graph. Forum, 2017)

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion. - Benjamin Hou; Amir Alansary; Steven G. McDonagh 001; Daniel Rueckert; Ben Glocker; Bernhard Kainz (CoRR, 2017)

3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images. - Benjamin Hou; Bishesh Khanal; Amir Alansary; Steven G. McDonagh 001; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (CoRR, 2017)

Interactive light source position estimation for augmented reality with an RGB-D camera. - Bastiaan J. Boom; Sergio Orts-Escolano; Xi Ning; Steven McDonagh 001; Peter Sandilands; Robert B. Fisher (Comput. Animat. Virtual Worlds, 2017)

PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI. - Amir Alansary; Martin Rajchl; Steven G. McDonagh 001; Maria Murgasova; Mellisa Damodaram; David F. A. Lloyd; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz (IEEE Trans. Medical Imaging, 2017)

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)

Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. - Benjamin Hou; Nina Miolane; Bishesh Khanal; Matthew C. H. Lee; Amir Alansary; Steven McDonagh 001; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (MICCAI (1), 2018)

EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers. - Bishesh Khanal; Alberto Gómez 002; Nicolas Toussaint; Steven McDonagh 001; Veronika A. M. Zimmer; Emily Skelton; Jacqueline Matthew; Daniel Grzech; Robert Wright; Chandni Gupta; Benjamin Hou; Daniel Rueckert; et al. (DATRA/PIPPI@MICCAI, 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)

Meta-Learning for Few-shot Camera-Adaptive Color Constancy. - Steven McDonagh 001; Sarah Parisot; Zhenguo Li; Gregory G. Slabaugh (CoRR, 2018)

3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images. - Benjamin Hou; Bishesh Khanal; Amir Alansary; Steven McDonagh 001; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (IEEE Trans. Medical Imaging, 2018)

TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation. - Miguel Monteiro; Konstantinos Kamnitsas; Enzo Ferrante; Francois Mathieu; Steven McDonagh 001; Sam Cook; Susan Stevenson; Tilak Das; Aneesh Khetani; Tom Newman; Fred Zeiler; Richard Digby; et al. (BrainLes@MICCAI (1), 2019)

SteReFo: Efficient Image Refocusing with Stereo Vision. - Benjamin Busam; Matthieu Hog; Steven McDonagh 001; Gregory G. Slabaugh (ICCV Workshops, 2019)

A Multi-Hypothesis Approach to Color Constancy. - Daniel Hernández Juárez; Sarah Parisot; Benjamin Busam; Ales Leonardis; Gregory G. Slabaugh; Steven McDonagh 001 (CVPR, 2020)

DeepLPF: Deep Local Parametric Filters for Image Enhancement. - Sean Moran; Pierre Marza; Steven McDonagh 001; Sarah Parisot; Gregory G. Slabaugh (CVPR, 2020)

Many-Shot from Low-Shot: Learning to Annotate Using Mixed Supervision for Object Detection. - Carlo Biffi; Steven McDonagh 001; Philip H. S. Torr; Ales Leonardis; Sarah Parisot (ECCV (8), 2020)

Low Light Video Enhancement Using Synthetic Data Produced with an Intermediate Domain Mapping. - Danai Triantafyllidou; Sean Moran; Steven McDonagh 001; Sarah Parisot; Gregory G. Slabaugh (ECCV (13), 2020)

CURL: Neural Curve Layers for Global Image Enhancement. - Sean Moran; Steven McDonagh 001; Gregory G. Slabaugh (ICPR, 2020)

NTIRE 2021 Challenge on Perceptual Image Quality Assessment. - Jinjin Gu; Haoming Cai; Chao Dong 005; Jimmy S. Ren; Yu Qiao 001; Shuhang Gu; Radu Timofte; Manri Cheon; Sung-Jun Yoon; Byungyeon Kang; Junwoo Lee; Qing Zhang; et al. (CoRR, 2021)

Residual Contrastive Learning for Joint Demosaicking and Denoising. - Nanqing Dong; Matteo Maggioni; Yongxin Yang; Eduardo Pérez-Pellitero; Ales Leonardis; Steven McDonagh 001 (CoRR, 2021)

Model-Based Image Signal Processors via Learnable Dictionaries. - Marcos V. Conde; Steven McDonagh 001; Matteo Maggioni; Ales Leonardis; Eduardo Pérez-Pellitero (AAAI, 2022)

Content-Diverse Comparisons improve IQA. - William Thong; José Costa Pereira; Sarah Parisot; Ales Leonardis; Steven McDonagh 001 (BMVC, 2022)

Re-examining Distillation for Continual Object Detection. - Eli Verwimp; Kuo Yang; Sarah Parisot; Lanqing Hong; Steven McDonagh 001; Eduardo Pérez-Pellitero; Matthias De Lange; Tinne Tuytelaars (BMVC, 2022)

Long-tail Recognition via Compositional Knowledge Transfer. - Sarah Parisot; Pedro M. Esperança; Steven McDonagh 001; Tamas J. Madarasz; Yongxin Yang; Zhenguo Li (CVPR, 2022)

CroMo: Cross-Modal Learning for Monocular Depth Estimation. - Yannick Verdié; Jifei Song; Barnabé Mas; Benjamin Busam; Ales Leonardis; Steven McDonagh 001 (CVPR, 2022)

Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images. - Nanqing Dong; Matteo Maggioni; Yongxin Yang; Eduardo Pérez-Pellitero; Ales Leonardis; Steven McDonagh 001 (IJCAI, 2022)

Region Proposal Network Pre-Training Helps Label-Efficient Object Detection. - Linus Ericsson; Nanqing Dong; Yongxin Yang; Ales Leonardis; Steven McDonagh 001 (CoRR, 2022)

Tunable Convolutions with Parametric Multi-Loss Optimization. - Matteo Maggioni; Thomas Tanay; Francesca Babiloni; Steven McDonagh 001; Ales Leonardis (CVPR, 2023)

Learning to Name Classes for Vision and Language Models. - Sarah Parisot; Yongxin Yang; Steven McDonagh 001 (CVPR, 2023)

Optimisation-Based Multi-Modal Semantic Image Editing. - Bowen Li; Yongxin Yang; Steven McDonagh 001; Shifeng Zhang; Petru-Daniel Tudosiu; Sarah Parisot (CoRR, 2023)

CLAD: A realistic Continual Learning benchmark for Autonomous Driving. - Eli Verwimp; Kuo Yang; Sarah Parisot; Lanqing Hong; Steven McDonagh 001; Eduardo Pérez-Pellitero; Matthias De Lange; Tinne Tuytelaars (Neural Networks, 2023)

Improving Object Detection via Local-global Contrastive Learning. - Danai Triantafyllidou; Sarah Parisot; Ales Leonardis; Steven McDonagh 001 (BMVC, 2024)

MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation. - Petru-Daniel Tudosiu; Yongxin Yang; Shifeng Zhang; Fei Chen; Steven McDonagh 001; Gerasimos Lampouras; Ignacio Iacobacci; Sarah Parisot (CVPR, 2024)

Multi-task Learning with 3D-Aware Regularization. - Wei-Hong Li; Steven McDonagh 001; Ales Leonardis; Hakan Bilen (ICLR, 2024)

BMFT: Achieving Fairness via Bias-Based Weight Masking Fine-Tuning. - Yuyang Xue; Junyu Yan; Raman Dutt; Fasih Haider; Jingshuai Liu; Steven McDonagh 001; Sotirios A. Tsaftaris (FAIMI/EPIMI@MICCAI, 2024)

Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction. - Yuyang Xue; Jingshuai Liu; Steven McDonagh 001; Sotirios A. Tsaftaris (MIDL, 2024)

Label-efficient object detection via region proposal network pre-training. - Nanqing Dong; Linus Ericsson; Yongxin Yang; Ales Leonardis; Steven McDonagh 001 (Neurocomputing, 2024)

CRCE: Coreference-Retention Concept Erasure in Text-to-Image Diffusion Models. - Yuyang Xue; Edward Moroshko; Feng Chen; Steven McDonagh 001; Sotirios A. Tsaftaris (CoRR, 2025)

Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language Models. - Ilias Stogiannidis; Steven McDonagh 001; Sotirios A. Tsaftaris (CoRR, 2025)

Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative Abilities. - Raman Dutt; Harleen Hanspal; Guoxuan Xia; Petru-Daniel Tudosiu; Alexander Black 001; Yongxin Yang; Steven McDonagh 001; Sarah Parisot (CoRR, 2025)

Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation. - Jinghan Sun; Dong Wei 004; Zhe Xu 012; Donghuan Lu; Hong Liu; Hong Wang 021; Sotirios A. Tsaftaris; Steven McDonagh 001; Yefeng Zheng 001; Liansheng Wang (IEEE Trans. Medical Imaging, 2025)

CheXGenBench: A Unified Benchmark For Fidelity, Privacy and Utility of Synthetic Chest Radiographs. - Raman Dutt; Pedro Sanchez; Yongchen Yao; Steven McDonagh 001; Sotirios A. Tsaftaris; Timothy M. Hospedales (CoRR, 2025)

A Shift in Perspective on Causality in Domain Generalization. - Damian Machlanski; Stephanie Riley; Edward Moroshko; Kurt Butler; Panagiotis Dimitrakopoulos; Thomas Melistas; Akchunya Chanchal; Steven McDonagh 001; Ricardo Silva; Sotirios A. Tsaftaris (CoRR, 2025)