| CARVIEW |
Select Language
HTTP/2 200
server: GitHub.com
content-type: text/html; charset=utf-8
last-modified: Sat, 10 Feb 2024 12:02:49 GMT
access-control-allow-origin: *
strict-transport-security: max-age=31556952
etag: W/"65c765e9-c5f5"
expires: Tue, 30 Dec 2025 04:40:50 GMT
cache-control: max-age=600
content-encoding: gzip
x-proxy-cache: MISS
x-github-request-id: 5412:3A7A40:98FB17:ABEFA9:69535579
accept-ranges: bytes
age: 0
date: Tue, 30 Dec 2025 04:30:50 GMT
via: 1.1 varnish
x-served-by: cache-bom-vanm7210080-BOM
x-cache: MISS
x-cache-hits: 0
x-timer: S1767069050.312897,VS0,VE221
vary: Accept-Encoding
x-fastly-request-id: a6c2322b3bc62338e7a8e9475737a43bcccd01c7
content-length: 8985
Senior Lecturer
Biography
I am currently a Senior Lecturer in IDCOM at the University of Edinburgh, working on Computer Vision and Machine Learning problems. Recent research directions include multi-modal, multi-task learning and medical imaging applications.
Previously I was a Senior Research Scientist with Huawei Technologies’ Noah’s Ark lab and have also held postdoctoral positions with the Biomedical Image Analysis Group, Imperial College London, working with Prof. Ben Glocker, Dr. Bernhard Kainz and Prof. Daniel Rueckert and, prior to that, with Disney Research Zurich working on real-time facial performance capture. I earned my PhD at the University of Edinburgh in the Institute of Perception, Action and Behaviour under the supervision of Prof. Bob Fisher for my work on density estimation and multi-view 3D point set registration.
I am a member of the Edinburgh ELLIS Unit, Vision Group and the VIOS collaboratory, where my interests span topics in Computer Vision, Machine Learning and Medical Image Analysis. You can occasionally find me up a mountain; running or cycling.
Interests
- Computer Vision
- Machine Learning
- Medical Image Analysis
- Artificial Intelligence
Education
-
PhD in Computer Vision, 2015
University of Edinburgh
-
BSc (Hons) in Artificial Intelligence and Computer Science, 2008
University of Edinburgh
Selected publications
Learning to Name Classes for Vision and Language Models
S Parisot, Y Yang, S McDonagh
Computer Vision and Pattern Recognition (CVPR) 2023, International Conference on
Spread Flows for Manifold Modelling
M Zhang, Y Sun, C Zhang, S McDonagh
Artificial Intelligence and Statistics (AISTATS) 2023, International Conference on
Content-Diverse Comparisons improve IQA
W Thong, J Pereira, S Parisot, A Leonardis, S McDonagh
British Machine Vision Conference (BMVC) 2022
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images
N Dong, M Maggioni, Y Yang, E Pérez-Pellitero, A Leonardis, S McDonagh
International Joint Conference on Artificial Intelligence (IJCAI) 2022
CroMo: Cross-Modal Learning for Monocular Depth Estimation
Y Verdié, J Song, B Mas, B Busam, A Leonardis, S McDonagh
Computer Vision and Pattern Recognition (CVPR) 2022, International Conference on
On the Out-of-distribution Generalization of Probabilistic Image Modelling
M Zhang, A Zhang, S McDonagh
Neural Information Processing Systems (NeurIPS) 2021, Thirty-fifth Conference on
A Multi-Hypothesis Approach to Color Constancy
D Hernandez-Juarez, S Parisot, B Busam, A Leonardis, G Slabaugh, S McDonagh
Computer Vision and Pattern Recognition (CVPR) 2020, International Conference on
Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning Problem
S McDonagh, S Parisot, F Zhou, X Zhang, A Leonardis, Z Li, G Slabaugh
Learning for Computational Imaging - International Conference on Computer Vision (ICCVW), 2019.
SteReFo: Efficient Image Refocusing with Stereo Vision
B Busam, M Hog, S McDonagh, G Slabaugh
AIM Workshop - International Conference on Computer Vision (ICCVW), 2019.
Attention U-Net: Learning Where to Look for the Pancreas
O Oktay, J Schlemper, L Folgoc, M Lee, M Heinrich, K Misawa, K Mori, S McDonagh, N Hammerla, B Kainz, B Glocker, D Rueckert
Medical Imaging with Deep Learning, (MIDL) 2018, International Conference on
Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging
S McDonagh, B Hou, A Alansary, O Oktay, K Kamnitsas, M Rutherford, JV Hajnal, B Kainz
International Conf. on Medical Image Computing and Computer Assisted Intervention. Reconstruction and Analysis of Moving Body Organs Workshop (MICCAI, 2017).
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation
K Kamnitsas, W Bai, E Ferrante, S McDonagh, M Sinclair, N Pawlowski, M Rajchl, M Lee, B Kainz, D Rueckert, B Glocker
International Conf. on Medical Image Computing and Computer Assisted Intervention. Multimodal Brain Tumor Segmentation Challenge (MICCAI, 2017).
Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion
B Hou, A Alansary, S McDonagh, A Davidson, M Rutherford, JV Hajnal, D Rueckert, B Glocker, B Kainz
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI, 2017).
PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI
A Alansary, M Rajchl, S McDonagh, M Murgasova, M Damodaram, DFA Lloyd, A Davidson, M Rutherford, JV Hajnal, D Rueckert, B Kainz
IEEE Transactions on Medical Imaging, Vol. 36, No. 10 (TMI, 2017).
Noise Reduction on G‐Buffers for Monte Carlo Filtering
B Moon, JA Iglesias‐Guitian, S McDonagh, K Mitchell
Computer Graphics Forum, Vol. 34, No. 2 (CGF, 2017)
Synthetic Prior Design for Real-time Face Tracking
S McDonagh, M Klaudiny, D Bradley, T Beeler, I Matthews, K Mitchell
3D Vision (3DV) 2016, International Conference on
Real-Time Multi-View Facial Capture with Synthetic Training
M Klaudiny, S McDonagh, D Bradley, T Beeler, I Matthews, K Mitchell
Eurographics (2016), International Conference on
Adaptive Polynomial Rendering
B Moon, S McDonagh, K Mitchell, M Gross
Proceedings of ACM SIGGRAPH (2016). ACM Transactions on Graphics (TOG).
Fusing 100’s of 3D Point Clouds of Objects
RB Fisher, S McDonagh
Proc. Computer Vision and Pattern Recognition; Workshop on Large Scale 3D Data: Acquisition, Modelling and Analysis (CVPR, 2016).
Laminar and Dorsoventral Molecular Organization of the Medial Entorhinal Cortex Revealed by Large-scale Anatomical Analysis of Gene Expression
HL Ramsden, G Sürmeli, S McDonagh, MF Nolan
PLoS Comput Biol. 11(1):e1004032 (PLoS, 2015)
Interactive light source position estimation for augmented reality with an RGB-D camera
BJ Boom, S Orts-Escoolano, X Ning, S McDonagh, P Sandilands, RB Fisher
Computer Animation and Virtual Worlds (CAVW, 2015).
Applying semi-synchronised task farming to large-scale computer vision problems
S McDonagh, C Beyan, PX Huang, RB Fisher
The International Journal of High Performance Computing Applications, (IJHPCA, 2014).
Simultaneous registration of multi-view range images with adaptive kernel density estimation
S McDonagh, RB Fisher
The Institute of Mathematics and its Applications. Mathematics of Surfaces, Conference on. (IMA, 2013)
Point Light Source Estimation based on Scenes Recorded by a RGB-D camera
BJ Boom, S Orts-Escoolano, X Ning, S McDonagh, P Sandilands, RB Fisher
British Machine Vision Conference (BMVC, 2013).
Using 3D information for classification of non-melanoma skin cancer
S McDonagh, RB Fisher, J Rees
Medical Image Understanding and Analysis (MIUA, 2008).
Teaching
- Lecturer: Machine Learning in Signal Processing (MSc) - www - (2023-24).
Previously, I have taught:
- Guest lecturer: Computer Vision INM460/IN3060 (UG4/MSc), City, University of London (2021).
- Teaching Assistant: Mathematical Methods CO-145 (UG1), Imperial College London (2017).
- Teaching Assistant: Machine Learning and Neural Computation (MSc), Imperial College London (2016).
- Guest lecturer: Advanced Computer Vision (UG4/MSc), Edinburgh (2014).
- Teaching Assistant: Advanced Computer Vision (UG4/MSc), Edinburgh (2012–2014).
- Teaching Assistant: Introduction to Vision and Robotics (UG3), Edinburgh (2011-2012).
Contact
- s.mcdonagh(at)ed(dot)ac(dot)uk
- King's Buildings, Thomas Bayes Rd, Edinburgh UK, EH9 3FG