-
Quantitative data analysed for the paper titled: Diagnostic decisions of spec...
The quantitative data was collected during an online study completed using the Qualtrics survey platform. The study period was July and August 2021. Thirty Participants... -
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... -
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... -
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 - 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... -
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... -
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,... -
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... -
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 - 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 - 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... -
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...
