Classification of CT brain images based on deep learning networks XW Gao, R Hui, Z Tian Computer methods and programs in biomedicine 138, 49-56, 2017 | 390 | 2017 |
Recognition of traffic signs based on their colour and shape features extracted using human vision models XW Gao, L Podladchikova, D Shaposhnikov, K Hong, N Shevtsova Journal of Visual Communication and Image Representation 17 (4), 675-685, 2006 | 353 | 2006 |
Computer algorithms for the automated measurement of retinal arteriolar diameters N Chapman, N Witt, X Gao, AA Bharath, AV Stanton, SA Thom, ... British Journal of Ophthalmology 85 (1), 74-79, 2001 | 163 | 2001 |
A fused deep learning architecture for viewpoint classification of echocardiography X Gao, W Li, M Loomes, L Wang Information Fusion 36, 103-113, 2017 | 148 | 2017 |
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy S Ali, M Dmitrieva, N Ghatwary, S Bano, G Polat, A Temizel, A Krenzer, ... Medical image analysis 70, 102002, 2021 | 125 | 2021 |
A method of vessel tracking for vessel diameter measurement on retinal images X Gao, A Bharath, A Stanton, A Hughes, N Chapman, S Thom Proceedings 2001 International Conference on Image Processing (Cat. No …, 2001 | 124 | 2001 |
An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy S Ali, F Zhou, B Braden, A Bailey, S Yang, G Cheng, P Zhang, X Li, ... Scientific reports 10 (1), 2748, 2020 | 122 | 2020 |
Quantification and characterisation of arteries in retinal images XW Gao, A Bharath, A Stanton, A Hughes, N Chapman, S Thom Computer methods and programs in biomedicine 63 (2), 133-146, 2000 | 97 | 2000 |
Quantifying colour appearance. Part V. Simultaneous contrast MR Luo, XW Gao, SAR Scrivener Color Research & Application 20 (1), 18-28, 1995 | 81 | 1995 |
Quantifying colour appearance. Part IV. Transmissive media MR Luo, XW Gao, PA Rhodes, HJ Xin, AA Clarke, SAR Scrivener Color Research & Application 18 (3), 191-209, 1993 | 71 | 1993 |
Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture XW Gao, C James-Reynolds, E Currie Neurocomputing 392, 233-244, 2020 | 67 | 2020 |
Quantifying colour appearance. Part III. Supplementary LUTCHI colour appearance data MR Luo, XW Gao, PA Rhodes, HJ Xin, AA Clarke, SAR Scrivener Color Research & Application 18 (2), 98-113, 1993 | 64 | 1993 |
A deep learning based approach to classification of CT brain images XW Gao, R Hui 2016 SAI computing conference (SAI), 28-31, 2016 | 61 | 2016 |
Prediction of multidrug-resistant TB from CT pulmonary images based on deep learning techniques XW Gao, Y Qian Molecular pharmaceutics 15 (10), 4326-4335, 2017 | 56 | 2017 |
Road sign recognition by single positioning of space-variant sensor window DG Shaposhnikov, N Lubov, AVG Podladchikova, NA Shevtsova, K Hong, ... Red 393 (423), 57-95, 2002 | 56 | 2002 |
Colour vision model-based approach for segmentation of traffic signs X Gao, K Hong, P Passmore, L Podladchikova, D Shaposhnikov EURASIP Journal on image and video processing 2008, 1-7, 2007 | 54 | 2007 |
Measurement of vessel diameters on retinal images for cardiovascular studies X Gao, A Bharath, A Stanton, A Hughes, N Chapman, S Thom Proceedings of Medical Image Understanding and Analysis, 1-4, 2001 | 43 | 2001 |
Vision models based identification of traffic signs X Gao, N Shevtsova, K Hong, S Batty, L Podladchikova, A Golovan, ... Conference on Colour in Graphics, Imaging, and Vision 1, 47-51, 2002 | 35 | 2002 |
Content-based retrieval of 3D medical images Y Qian, X Gao, M Loomes, R Comley, B Barn, R Hui, Z Tian The Third International Conference on eHealth, Telemedicine, and Social …, 2011 | 34 | 2011 |
Texture-based 3D image retrieval for medical applications X Gao, Y Qian, R Hui, M Loomes, R Comley, B Barn, A Chapman, J Rix IADIS international conference e-health, 101-108, 2010 | 34 | 2010 |