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A multi-centre, multi-device benchmark dataset for landmark-based comprehensi...
FetalBiometry-MultiCentre-Landmarks is a comprehensive benchmark dataset for landmark-based fetal biometry estimation from 2D ultrasound, comprising 4,513 de-identified... -
C3VD-Raycasting-10k: A Clinical Point Cloud Registration Dataset for Image-Gu...
C3VD-Raycasting-10k is a clinically grounded benchmark dataset for 3D point cloud registration in image-guided colonoscopy. It contains 10,014 geometrically aligned point-cloud... -
<b>FetReg: Largescale Multi-centre Fetoscopy Placenta Dataset</b>
First publicly available largescale multi-centre dataset of in vivo fetoscopic videos with placental scene semantic annotations from the FetReg2021 – Endoscopic Vision... -
SynthCity Dataset - Area 3 (Test)
With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training... -
SynthCity Dataset - Trajectory
With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training... -
SynthCity Dataset - All Areas
With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training... -
SynthCity Dataset - Area 1
With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training... -
SynthCity Dataset - Complete
With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training... -
Digitized Thin Blood Films for Sickle Cell Disease Detection
If you plan on using this dataset, please cite : P. Manescu, C. Bendkowski, R. Claveau, M. Elmi, B.J. Brown, V. Pawar, M. Shaw and D. Fernandez-Reyes, A weakly supervised deep... -
EPISURG: a dataset of postoperative magnetic resonance images (MRI) for quant...
EPISURG is a clinical dataset of T1-weighted magnetic resonance images (MRI) from 430 epileptic patients who underwent resective brain surgery at the National Hospital of... -
SR-TEE Dataset for Regressing Simulation to Real: Unsupervised Domain Adaptat...
This SR-TEE dataset is for our accepted paper at MICCAI2023 titled 'Regressing Simulation to Real: Unsupervised Domain Adaptation for Automated Quality Assessment in... -
V-RoAst A New Dataset for Visual Road Assessment
This is dataset used for V-RoAst A New Dataset for Visual Road Assessment (https://arxiv.org/html/2408.10872v2) The dataset used in this work is sourced from the ThaiRAP and was... -
OCT5k: A dataset of multi-disease and multi-graded annotations for retinal la...
The thickness and appearance of retinal layers are essential markers for diagnosing and studying eye diseases. Despite the increasing availability of imaging devices to scan and... -
Policy Brief: Harnessing the power of mathematical models for better policy d...
This brief sets out four practical recommendations to help policymakers across a wide range of policy areas effectively capitalise on, and sidestep pitfalls of, using... -
<b>Coral Reef Soundscapes from a Global Restoration Programme</b>
Overview See the associated study (Williams et al., 2025) for full details on the dataset and analysis. This repository contains a large dataset of raw soundscape recordings and... -
Giemsa Stained Thick Blood Films for Clinical Microscopy Malaria Diagnosis wi...
By using this dataset you agree to cite: Manescu, P., Shaw, M.J., Elmi, M., Neary‐Zajiczek, L., Claveau, R., Pawar, V., Kokkinos, I., Oyinloye, G., Bendkowski, C., Oladejo,... -
Self-supervised transfer learning with synthetic lesions for brain resection ...
Poster and presentation presented for my MPhil upgrade at the Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom on 19th...
