Professor Sarah Barman
Faculties, departments and locations
- Faculty of Engineering, Computing and the Environment
- Department of Computer Science
- School of Computer Science and Mathematics
- Penrhyn Road
Professor of Computer Vision
- Email:
- [email protected]
About
I am a Professor of Computer Vision in the School of Computer Science and Mathematics.
My research interests include the development of computer vision techniques applied to medical images.
Over the last ten years, our team has developed algorithms to detect vessel morphology and pathologies on retinal fundus images. Previous work includes developing ophthalmic analysis software, which has resulted in US FDA approval. Current projects are focused on applying deep learning to ophthalmic and oral lesion images.
I am a member of the UK Biobank Eyes and Vision Consortium and a Fellow of the Institute of Physics.
Qualifications
- PhD Physics, King's College London
Domains
Specialisms
- Computer Vision
- Machine Learning
- Medical Image Analysis
Publications
Assistive facial expression recognition for children with autism using re-enactment
Johnson, Gordon, Argyriou, Vasileios, Barman, Sarah and Politis, Christos, 2025, Computers in Human Behavior Reports (20), Published
Automated retinal image analysis systems to triage for grading of diabetic retinopathy: a large-scale, open-label, national screening programme in England
Rudnicka PhD, Prof Alicja R, Shakespeare MSc, Royce, Chambers BEng, Ryan, Bolter MSc, Louis, Anderson MD, John, Fajtl PhD, Jiri, Welikala PhD, Roshan A, Barman PhD, Prof Sarah A, Olvera-Barrios MD, Abraham, Webster, Laura, Mann MD, Samantha, Lee MD, Aaron, Remagnino PhD, Prof Paolo, Egan MD, Catherine, Owen PhD, Prof Christopher G, Tufail MD, Prof Adnan, Chandrasekaran, Lakshmi, Chaudhry, Umar, Wahlich, Charlotte and Willis, Kathryn, 2025, The Lancet Digital Health (7), 11, Published
Factors associated with retinal vessel traits in the Canadian longitudinal study on aging
Rakesh, Mohan, Roy-Gagnon, Marie-Hélène, Maberley, David, Freeman, Ellen E., O'Neil, Alexis, Welikala, Roshan A., Barman, Sarah, Owen, Christopher G. and Rudnicka, Alicja R., 2025, Investigative Ophthalmology and Visual Science (66), 3, Published
Retinal vasculometry associations with cognition status in UK Biobank
Shakespeare, Royce, Rudnicka, Alicja R., Welikala, Roshan, Barman, Sarah A., Khawaja, Anthony P., Foster, Paul J., Owen, Christopher G. and UK Biobank Eye and Vision Consortium,, 2025, Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring (17), Published
Retinal vessel traits and age-related eye disease in the Canadian longitudinal study on aging
O'Neil, Alexis, Welikala, Roshan A., Barman, Sarah, Owen, Christopher G., Rudnicka, Alicja R., Rakesh, Mohan, Roy-Gagnon, Marie Hélène, Maberley, David and Freeman, Ellen E., 2025, Clinical and Experimental Ophthalmology (53), 7pp 764-772, Published
Patient and practitioner perceptions around use of artificial intelligence within the English NHS diabetic eye screening programme
Wahlich, Charlotte, Chandrasekaran, Lakshmi, Chaudhry, Umar A.R., Willis, Kathryn, Chambers, Ryan, Bolter, Louis, Anderson, John, Shakespeare, Royce, Olvera-Barrios, Abraham, Fajtl, Jiri, Welikala, Roshan, Barman, Sarah, Egan, Catherine A., Tufail, Adnan, Owen, Christopher G. and Rudnicka, Alicja R., 2024, Diabetes Research and Clinical Practice, E-pub ahead of print
Trustworthy evaluation of clinical AI for analysis of medical images in diverse populations
Welikala, Roshan A., Barman, Sarah, Chambers, Ryan, Bolter, Louis, Anderson, John, Olvera-Barrios, Abraham, Shakespeare, Royce, Egan, Catherine, Owen, Christopher G., Tufail, Adnan, Rudnicka, Alicja R. and Fajtl, Jiri, 2024, NEJM AI (1), 9, Published
Two-year recall for people with no diabetic retinopathy: a multiethnic population-based retrospective cohort study using real-world data to quantify the effect
Olvera-Barrios, Abraham, Rudnicka, Alicja R., Anderson, John, Bolter, Louis, Chambers, Ryan, Warwick, Alasdair N., Welikala, Roshan, Fajtl, Jiri, Barman, Sarah, Remagnino, Paolo, Wu, Yue, Lee, Aaron Y., Chew, Emily Y., Ferris, Frederick L., Hingorani, Aroon, Sofat, Reecha, Egan, Catherine A., Tufail, Adnan, Owen, Christopher G., Chandrasekaran, Lakshmi, Chaudhry, Umar, Egan, Catherine, Hingorani, Aroon D., Shakespeare, Royce, Wahlich, Charlotte and Willis, Kathryn, 2023, British Journal of Ophthalmology, 107pp 1839-1845, Published
Ethnic disparities in progression rates for sight-threatening diabetic retinopathy in diabetic eye screening: a population-based retrospective cohort study
Olvera-Barrios, Abraham, Owen, Christopher G., Anderson, John, Warwick, Alasdair N., Chambers, Ryan, Bolter, Louis, Wu, Yue, Welikala, Roshan, Fajtl, Jiri, Barman, Sarah A., Remagnino, Paolo, Chew, Emily Y., Ferris, Frederick L., Hingorani, Aroon D., Sofat, Reecha, Lee, Aaron Y., Egan, Catherine, Tufail, Adnan, Rudnicka, Alicja R., Barman, Sarah, Chandrasekaran, Lakshmi, Chaudhry, Umar, Shakespeare, Royce, Wahlich, Charlotte and Willis, Kathryn, 2023, BMJ Open Diabetes Research and Care (11), 6, Published
Automated analysis of vessel morphometry in retinal images from a Danish high street optician setting
Freiberg, Josefine, Welikala, Roshan A., Rovelt, Jens, Owen, Christopher G., Rudnicka, Alicja R., Kolko, Miriam and Barman, Sarah A., 2023, PLoS ONE (18), 8, Published
Image collection and annotation platforms to establish a multi-source database of oral lesions
Chan, Chee Seng, Cheong, Sok Ching, Rimal, Jyotsna, Kerr, Alexander Ross, Amtha, Rahmi, Patil, Karthikeya, Welikala, Roshan Alex, Lim, Ying Zhi, Remagnino, Paolo, Gibson, John, Tilakaratne, Wanninayake Mudiyanselage, Liew, Chee Sun, Yang, Yi-Hsin, Barman, Sarah Ann, Rajendran, Senthilmani, Lim, Jian Han, Yogalingam, Kohgulakuhan, Kallarakkal, Thomas George, Zain, Rosnah Binti and Jayasinghe, Ruwan Duminda, 2023, Oral Diseases (29), 5pp 2230-2238, Published
GWAS on retinal vasculometry phenotypes
The UK Biobank Eye and Vision Consortium,, Whincup, Peter H., Rudnicka, Alicja R., Owen, Christopher G., Strachan, David P., Jiang, Xiaofan, Hysi, Pirro G., Khawaja, Anthony P., Mahroo, Omar A., Xu, Zihe, Hammond, Christopher J., Foster, Paul J., Welikala, Roshan A. and Barman, Sarah A., 2023, PLoS Genetics (19), 2, Published
Artificial intelligence-enabled retinal vasculometry for prediction of circulatory mortality, myocardial infarction and stroke
Rudnicka, Alicja Regina, Welikala, Roshan, Barman, Sarah, Foster, Paul J, Luben, Robert, Hayat, Shabina, Khaw, Kay-Tee, Whincup, Peter, Strachan, David and Owen, Christopher G, 2022, British Journal of Ophthalmology (106)pp 1722-1729, Published
UK Biobank retinal imaging grading: methodology, baseline characteristics and findings for common ocular diseases
Balaskas, Konstantinos, Peto, Tunde, Lotery, Andrew J., Quinn, Michael, Madhusudhan, Savita, Warwick, Alasdair N., UKBB Eye and Vision Consortium,, Barman, S., Curran, Katie, Hamill, Barbra, Stuart, Kelsey, Khawaja, Anthony P. and Foster, Paul J., 2022, Eye (Basingstoke), E-pub ahead of print
Retinal microvascular associations with cardiometabolic risk factors differ by diabetes status: results from the UK Biobank
Tapp, Robyn J., Owen, Christopher G., Barman, Sarah A., Strachan, David P., Welikala, Roshan, Foster, Paul J., Whincup, Peter H. and Rudnicka, Alicja R., 2022, Diabetologia, E-pub ahead of print
Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries
Han, Xikun, Ong, Jue Sheng, Hewitt, Alex W., Segrè, Ayellet V., Rouhana, John M., Hamel, Andrew R., Igo Jr, Robert P., Iglesias, Adriana, Siggs, Owen M., Young, Terri L., Vitart, Veronique, Simcoe, Mark, Amersinghe, Nishani, Cree, Angela J., Hohn, Rene, Poplawski, Alicia, Chen, Li Jia, Rong, Shi-Song, Barman, Sarah A., GIGA study group,, 23 and Me Research Team,, Tamiya, Gen, Shiga, Yukihiro, Yamamoto, Masayuki, Nakazawa, Toru, Currant, Hannah, Birney, Ewan, Wang, Xin, Auton, Adam, Lupton, Michelle K., Martin, Nicholas G., Ashaye, Adeyinka, Olawoye, Olusola, Williams, Susan E., Akafo, Stephen, Ramsay, Michele, Hashimoto, Kazuki, Kamatani, Yoichiro, Akiyama, Masato, Momozawa, Yukihide, Foster, Paul J., Khaw, Peng T., Morgan, James E., Strouthidis, Nicholas G., Kraft, Peter, Kang, Jae H., Pang, Chi Pui, Pasutto, Francesca, Mitchell, Paul, Lotery, Andrew J., Palotie, Aarno, van Duijn, Cornelia, Haines, Jonathan L., Hammond, Chris, Pasquale, Louis R., Klaver, Caroline C. W., Hauser, Michael, Khor, Chiea Chuen, Mackey, David A., Kubo, Michiaki, Cheng, Ching-Yu, Craig, Jamie E., MacGregor, Stuart, Wiggs, Janey L., Thiadens, Alberta A. H. J., Karjalainen, Juha, Uebe, Steffen, Melles, Ronald B., Nair, K. Saidas, Luben, Robert, ANZRAG consortium,, Biobank Japan project,, FinnGen study,, UK Biobank Eye and Vision Consortium,, Josyula, Navya S., Cooke Bailey, Jessica N., Bonnemaijer, Pieter W. M., Aung, Tin, Vithana, Eranga Nishanthie, NEIGHBORHOOD consortium,, Choquet, Helene, Qassim, Ayub, Gharahkhani, Puya, Jorgenson, Eric, Hysi, Pirro, Khawaja, Anthony P. and Pendergrass, Sarah, 2021, Nature Communications (12), Published
Retinal vasculometry associations with glaucoma: findings from the European Prospective Investigation of Cancer-Norfolk Eye study
Luben, Robert, Hayat, Shabina A, Khaw, Kay-Tee, Foster, Paul J, Rudnicka, Alicja R, Owen, Christopher G, Welikala, Roshan A, Barman, Sarah A, Whincup, Peter H, Strachan, David P, Chan, Michelle P Y, Khawaja, Anthony P and Broadway, David C, 2020, American Journal of Ophthalmology (220)pp 140-151, Published
Retinal vascular tortuosity and diameter associations with adiposity and components of body composition
Whincup, Peter H., Strachan, David P., Tapp, Robyn J., Owen, Christopher G., Barman, Sarah A., Welikala, Roshan A., Foster, Paul J. and Rudnicka, Alicja R., 2020, Obesity (28), 9pp 1750-1760, Published
Retinal vasculometric characteristics and their associations with polymyalgia rheumatica and giant cell arteritis in a prospective cohort: EPIC-Norfolk Eye Study
Yates, Max, Welikala, Roshan, Rudnicka, Alicja, Peto, Tunde, MacGregor, Alexander J, Khawaja, Anthony, Watts, Richard, Broadway, David, Hayat, Shabina, Luben, Robert, Barman, Sarah, Owen, Christopher, Khaw, Kay-Tee and Foster, Paul, 2020, Annals of the Rheumatic Diseases (79), 4pp 547-549, Published
Genome-wide association meta-analysis of corneal curvature identifies novel loci and shared genetic influences across axial length and refractive error
Haarman, Annechien E. G., Enthoven, Clair A., Polling, JanRoelof, Consortium for Refractive Error and Myopia (CREAM),, UK Biobank Eye and Vision Consortium,, Barman, Sarah A., Hewitt, Alex W., Jaddoe, Vincent W. V., van Duijn, Cornelia M., Hayward, Caroline, Polasek, Ozren, Tai, E-Shyong, Yoshikatsu, Hosoda, Hysi, Pirro G., Young, Terri L., Tsujikawa, Akitaka, Wang, Jie Jing, Mitchell, Paul, Pfeiffer, Norbert, P├ñrssinen, Olavi, Foster, Paul J., Fossarello, Maurizio, Yip, Shea Ping, Williams, Cathy, Hammond, Christopher J., Jonas, Jost B., He, Mingguang, Mackey, David A., Wong, Tien-Yin, Klaver, Caroline C. W., Saw, Seang-Mei, Baird, Paul N., Cheng, Ching-Yu, Saffari, Seyed Ehsan, Tedja, Milly S., Xie, Jing, Lanca, Carla, Wang, Ya Xing, Sahebjada, Srujana, Mazur, Johanna, Mirshahi, Alireza, Martin, Nicholas G., Yazar, Seyhan, Pennell, Craig E., Yap, Maurice, Fan, Qiao, Pozarickij, Alfred, Tan, Nicholas Y. Q., Guo, Xiaobo, Verhoeven, Virginie J. M., Vitart, Veronique, Guggenheim, Jeremy A., Miyake, Masahiro, Tideman, J. Willem L., Khawaja, Anthony P., Zhang, Liang, MacGregor, Stuart, H├Âhn, Ren├®, Chen, Peng, Biino, Ginevra and Wedenoja, Juho, 2020, Communications Biology (3), Published
Automated detection and classification of oral lesions using deep learning for early detection of oral cancer
Welikala, Roshan Alex, Remagnino, Paolo, Lim, Jian Han, Chan, Chee Seng, Rajendran, Senthilmani, Kallarakkal, Thomas George, Zain, Rosnah Binti, Jayasinghe, Ruwan Duminda, Rimal, Jyotsna, Kerr, Alexander Ross, Amtha, Rahmi, Patil, Karthikeya, Tilakaratne, Wanninayake Mudiyanselage, Gibson, John, Cheong, Sok Ching and Barman, Sarah Ann, 2020, IEEE Access (8)pp 132677-132693, Published
Improving microaneurysm detection from non-dilated diabetic retinopathy retinal images using feature optimisation
Thammastitkul, Akara, Uyyanonvara, Bunyarit and Barman, Sarah A., 2020, International Journal of Computer Aided Engineering and Technology (12), 3pp 355-369, Published
Associations of retinal microvascular diameters and tortuosity with blood pressure and arterial stiffness: United Kingdom Biobank
Tapp, Robyn J., Owen, Christopher G., Barman, Sarah A., Welikala, Roshan A., Foster, Paul J., Whincup, Peter H., Strachan, David P. and Rudnicka, Alicja R., 2019, Hypertension (74), 6pp 1383-1390, Published
Associations with photoreceptor thickness measures in the UK Biobank
Chua, Sharon Y.L., Dhillon, Baljean, Aslam, Tariq, Balaskas, Konstantinos, Yang, Qi, Keane, Pearse A., Tufail, Adnan, Reisman, Charles, Foster, Paul J., Patel, Praveen J., Bishop, Prof Paul, Barman, Prof Sarah A., Barrett, Prof Jenny H., Blows, Mr Peter, Bunce, Dr Catey, Carare, Dr Roxana O., Chakravarthy, Prof Usha, Chan, Dr Michelle, Crabb, Prof David P., Cumberland, Mrs Philippa M., Day, Dr Alexander, Desai, Dr Parul, Sudlow, Prof Cathie, Dick, Prof Andrew D., Egan, Dr Cathy, Ennis, Prof Sarah, Fruttiger, Dr Marcus, Gallacher, Dr John E.J., Garway-Heath, Prof David F., Gibson, Dr Jane, Gore, Mr Dan, Guggenheim, Prof Jeremy A., Hammond, Prof Chris J., Hardcastle, Prof Alison, Harding, Prof Simon P., Hogg, Dr Ruth E., Hysi, Dr Pirro, Khaw, Prof Sir Peng T., Khawaja, Dr Anthony P., Lascaratos, Dr Gerassimos, Lotery, Prof Andrew J., Macgillivray, Dr Tom, Mackie, Dr Sarah, Martin, Prof Keith, Mcgaughey, Ms Michelle, Mcguinness, Dr Bernadette, Mckay, Dr Gareth J., Mckibbin, Mr Martin, Mitry, Dr Danny and Moore, Prof Tony, 2019, Scientific Reports (9), Published
Multi-trait genome-wide association study identifies new loci associated with optic disc parameters
MacGregor, Stuart, Klaver, Caroline C. W., Duijn, Cornelia M. van, Bonnemaijer, Pieter W. M., Leeuwen, Elisabeth M. van, Iglesias, Adriana I., Gharahkhani, Puya, Vitart, Veronique, Khawaja, Anthony P., Simcoe, Mark, Hohn, Rene, Cree, Angela J., Igo, Rob P., International Glaucoma Genetics Consortium,, NEIGHBORHOOD consortium,, UK Biobank Eye and Vision Consortium,, Barman, Sarah A., Gerhold-Ay, Aslihan, Nickels, Stefan, Wilson, James F., Hayward, Caroline, Boutin, Thibaud S., Polasek, Ozren, Aung, Tin, Khor, Chiea Chuen, Amin, Najaf, Lotery, Andrew J., Wiggs, Janey L., Cheng, Ching-Yu, Hysi, Pirro G., Hammond, Christopher J. and Thiadens, Alberta A. H. J., 2019, Communications Biology (2), Published
Computational methods for exudates detection and macular edema estimation in retinal images: a survey
Fraz, M. M., Badar, M., Malik, A. W. and Barman, S. A., 2019, Archives of Computational Methods in Engineering (26), 4pp 1193-1220, Published
Quantile regression analysis reveals widespread evidence for gene-environment or gene-gene interactions in myopia development
Hysi, Pirro G., Guggenheim, Jeremy A., Barman, Sarah A., Pozarickij, Alfred and Williams, Cathy, 2019, Communications Biology (2), Published
Retinal vasculometry associations with cardiometabolic risk factors in the European Prospective Investigation of Cancer Norfolk study
Owen, Christopher G., Rudnicka, Alicja R., Welikala, Roshan, Fraz, M Moazam, Barman, Sarah A, Luben, Robert, Hayat, Shabina A., Khaw, Kay-Tee, Strachan, David P., Whincup, Peter H. and Foster, Paul J., 2019, Ophthalmology (126), 1pp 96-106, Published
Automated arteriole and venule classification using deep learning for retinal images from the UK Biobank cohort
Welikala, R.A., Foster, P.J., Whincup, P.H., Rudnicka, A.R., Owen, C.G., Strachan, D.P. and Barman, S.A., 2017, Computers in Biology and Medicine (90)pp 23-32, Published
Incorporating spatial information for microaneurysm detection in retinal images
Habib, Mohamed M., Welikala, Roshan A., Hoppe, Andreas, Owen, Christopher G., Rudnicka, Alicja R., Tufail, Adnan, Egan, Catherine and Barman, Sarah A., 2017, Advances in Science, Technology and Engineering Systems Journal (2), 3pp 642-649, Published
Multiscale segmentation of exudates in retinal images using contextual cues and ensemble classification
Barman, Sarah A., Fraz, M. Moazam, Jahangir, Waqas, Zahid, Saqib and Hamayun, Mian M., 2017, Biomedical Signal Processing and Control (35)pp 50-62, Published
Detection of microaneurysms in retinal images using an ensemble classifier
Habib, M. M., Welikala, R. A., Hoppe, A., Owen, C. G., Rudnicka, A. R. and Barman, S. A., 2017, Informatics in Medicine Unlocked (9)pp 44-57, Published
Localization and segmentation of optic disc in retinal images using circular Hough transform and grow-cut algorithm
Abdullah, Mohammad, Fraz, Mohammad Moazam and Barman, Sarah A, 2016, PeerJ (4), Published
Automated retinal image quality assessment on the UK Biobank Dataset for Epidemiological Studies
Barman, S A, Fraz, M M, Foster, P J, Welikala, R A, Whincup, P H, Rudnicka, A R, Owen, C G and Strachan, D P, 2016, Computers in Biology and Medicine (71)pp 67-76, Published
QUARTZ: QUantitative Analysis of Retinal Vessel Topology and size : an automated system for quantification of retinal vessels morphology
Fraz, M.M., Welikala, R.A., Rudnicka, A.R., Owen, C.G., Strachan, D.P. and Barman, S.A., 2015, Expert Systems with Applications (42), 20pp 7221-7234, Published
Genetic algorithm based feature selection combined with dual classification for the automated detection of proliferative diabetic retinopathy
Welikala, R. A., Fraz, M. M., Dehmeshki, J., Hoppe, A., Tah, V., Mann, S., Williamson, T. H. and Barman, S. A., 2015, Computerized Medical Imaging and Graphics (43)pp 64-77, Published
The automated detection of proliferative diabetic retinopathy using dual ensemble classification
Welikala, R. A., Fraz, M. M., Williamson, T. H. and Barman, S. A., 2015, International Journal of Diagnostic Imaging (2), 2pp 64-71, Published
Delineation of blood vessels in pediatric retinal images using decision trees-based ensemble classification
Fraz, Muhammad Moazam, Rudnicka, Alicja R., Owen, Christopher G. and Barman, Sarah A., 2014, International Journal of Computer Assisted Radiology and Surgery (9), 5pp 795-811, Published
Automated detection of proliferative diabetic retinopathy using a modified line operator and dual classification
Welikala, R. A., Dehmeshki, J., Hoppe, A., Tah, V., Mann, S., Williamson, T. H. and Barman, S. A., 2014, Computer Methods and Programs in Biomedicine (114), 3pp 247-261, Published
Simple hybrid method for fine microaneurysm detection from non-dilated diabetic retinopathy retinal images
Sopharak, Akara, Uyyanonvara, Bunyarit and Barman, Sarah, 2013, Computerized Medical Imaging and Graphics (37), 5-6pp 394-402, Published
Application of morphological bit planes in retinal blood vessel extraction
Fraz, M. M, Basit, A and Barman, S., 2013, Journal of Digital Imaging (26), 2pp 274-286, Published
Automated microaneurysm detection algorithms applied to diabetic retinopathy retinal images
Sopharak, Akara, Uyyanonvara, Bunyarit and Barman, Sarah, 2013, Maejo International Journal of Science and Technology (7), 2pp 294-314, Published
Quantification of blood vessel calibre in retinal images of multi-ethnic school children using a model based approach
Fraz, M. M., Remagnino, P., Hoppe, A., Rudnicka, A. R., Owen, C. G., Whincup, P. H. and Barman, S. A., 2013, Computerized Medical Imaging and Graphics (37), 1pp 48-60, Published
An approach to localize the retinal blood vessels using bit planes and centerline detection
Fraz, M. M., Barman, S. A., Remagnino, P., Hoppe, A., Basit, A., Uyyanonvara, B., Rudnicka, A. R. and Owen, C. G., 2012, Computer Methods and Programs in Biomedicine (108), 2pp 600-616, Published
Blood vessel segmentation methodologies in retinal images: a survey
Fraz, M. M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Rudnicka, A. R., Owen, C. G. and Barman, S. A., 2012, Computer Methods and Programs in Biomedicine (108), 1pp 407-433, Published
An ensemble classification based approach applied to retinal blood vessel segmentation
Fraz, Muhammad Moazam, Remagnino, Paolo, Hoppe, Andreas, Uyyanonvara, Bunyarit, Rudnicka, Alicja R., Owen, Christopher G. and Barman, Sarah A., 2012, IEEE Transactions on Biomedical Engineering (59), 9pp 2538-2548, Published
An automatic approach for learning and tuning Gaussian interval type-2 fuzzy membership functions applied to lung CAD classification system
Hosseini, Rahil, Qanadli, Salah D., Barman, Sarah, Mazinani, Mahdi, Ellis, Tim and Dehmeshki, Jamshid, 2012, IEEE Transactions on Fuzzy Systems (20), 2pp 224-234, Published
Retinal arteriolar tortuosity and cardiovascular risk factors in a multi-ethnic population study of 10 year old children; the Child Heart And health Study in England (CHASE)
Sattar, N., Cook, D. G., Whincup, P. H., Rudnicka, A. R., Nightingale, C. M., Mullen, R.., Barman, S. A. and Owen, C. G., 2011, Arteriosclerosis, Thrombosis, and Vascular Biology (31), 8pp 1933-1938, Published
Automatic microaneurysm detection from non-dilated diabetic retinopathy retinal images using mathematical morphology methods
Sopharak, A., Uyyanonvara, B. and Barman, S., 2011, IAENG International Journal of Computer Science (28), 3pp 295-301, Published
Object detection with feature stability over scale space
Makhanov, Stanislav S., Barman, Sarah, Williamson, Tom, Duanggate, Cattleya and Uyyanonvara, Bunyarit, 2011, Journal of Visual Communication and Image Representation (22), 4pp 345-352, Published
Parameter-free optic disc detection
Duanggate, Cattleya, Uyyanonvara, Bunyarit, Makhanov, Stanislav S., Barman, Sarah and Williamson, Tom, 2011, Computerized Medical Imaging and Graphics (35), 1pp 51-63, Published
Towards autonomous robot swarms for multi-target localisation and monitoring with applications to counter IED operations
Mullen, Robert J., Barman, Sarah, Remagnino, Paolo and Monekosso, Dorothy, 2011, International Journal of Intelligent Defence Support Systems (4), 1pp 87-107, Published
Machine learning approach to automatic exudate detection in retinal images from diabetic patients
Sopharak, Akara, Dailey, Matthew N., Uyyanonvara, Bunyarit, Barman, Sarah, Williamson, Tom, Nwe, Khine Thet and Moe, Yin Aye, 2010, Journal of Modern Optics (57), 2pp 124-135, Published
Maximum likelihood estimation of vessel parameters from scale space analysis
Ng, J., Clay, S. T., Barman, S., Fielder, A. R., Moseley, M. J., Parker, K. H. and Paterson, C., 2010, Image and Vision Computing (28), 1pp 55-63, Published
Comparative analysis of automatic exudate detection between machine learning and traditional approaches date of evaluation
Sopharak, Akara, Uyyanonvara, Bunyarit, Barman, Sarah and Williamson, Tatjana, 2009, IEICE Transactions on Information and Systems (92), 11pp 2264-2271, Published
A review of ant algorithms
Mullen, R.J., Monekosso, D., Barman, S. and Remagnino, P., 2009, Expert Systems with Applications (36), 6pp 9608-9617, Published
Measuring retinal vessel tortuosity in 10-year-old children: validation of the Computer-Assisted Image Analysis of the Retina (CAIAR) program.
Ng, J., Paterson, C., Owen, C.G., Rudnicka, A. R., Mullen, R., Barman, S., Monekosso, D. and Whincup, P.H., 2009, Investigative Ophthalmology and Visual Science (50), 5pp 2004-2010, Published
Automatic exudate detection from non-dilated diabetic retinopathy retinal images using fuzzy C-means clustering
Sopharak, Akara, Uyyanonvara, Bunyarit and Barman, Sarah, 2009, Sensors (9), 3pp 2148-2161, Published
Automatic exudate detection for diabetic retinopathy screening
Sopharak, Akara, Uyyanonvara, Bunyarit and Barman, Sarah, 2009, Science Asia (35), 1pp 80-88, Published
Automatic tortuosity-based retinopathy of prematurity screening system
Sukkaew, Lassada, Uyyanonvara, Bunyarit, Makhanov, Stanislav S., Barman, Sarah and Pangputhipong, Pannet, 2008, IEICE Transactions on Information and Systems (91), 12pp 2868-2874, Published
Diabetes and the tortuosity of vessels of the bulbar conjunctiva
Owen, Christopher G., Newsom, Richard S.B., Rudnicka, Alicja R., Barman, Sarah A., Woodward, E. Geoffrey and Ellis, Tim J., 2008, Ophthalmology (115), 6, Published
Automatic detection of diabetic retinopathy exudates from non-dilated retinal images using mathematical morphology methods
Sopharak, Akara, Uyyanonvara, Bunyarit, Barman, Sarah and Williamson, Thomas H., 2008, Computerized Medical Imaging and Graphics (32), 8pp 720-727, Published
Automatic extraction of the structure of the retinal blood vessel network of prenature infants
Sukkaew, Lassada, Uyyanonvara, Bunyarit, Barman, Sarah, Cocker, Ken and Fielder, Alistair, 2007, Journal of the Medical Association of Thailand (90), 9pp 1780-1792, Published
Image quality assessment in retinal images of premature infants taken with RetCam 120 digital fundus camera
Toniappa, A., Barman, S.A., Corvee, E., Moseley, M.J., Cocker, K. and Fielder, A.R., 2005, Imaging Science Journal (53), 1pp 51-59, Published
The effect of acrysof and pmma intraocular lenses on the posterior capsule in patients with a large capsulorrhexis
Meacock, W R, Spalton, D J, Hollick, E J, Barman, S A and Boyce, J F, 2001, Japanese Journal of Ophthalmology (45), 4pp 348-354, Published
Quantification of posterior capsule opacification in digital retroillumination images using a computational method based on texture analysis
Barman, Sarah A., Hollick, Emma J., Boyce, James F., Spalton, David J., Uyyanonvara, Bunyarit, Meacock, William R. and Sanguinetti, Giorgia, 2000, Investigative Ophthalmology and Visual Science (41), 12pp 3882-3892, Published
Quantification of posterior capsular opacification in digital images after cataract surgery
Barman, Sarah A., Hollick, Emma J., Boyce, James F., Spalton, David J., Uyyanonvara, Bunyarit, Sanguinetti, Giorgia and Meacock, William, 2000, Investigative Ophthalmology and Visual Science (41), 12pp 3882-3892, Published
A double masked prospective ocular safety study of an anti-lens epithelial cell antibody to prevent posterior capsular opacification
Meacock, W R, Spalton, D J, Hollick, E J, Boyce, J F, Barman, S A and Sanguinetti, G, 2000, Journal of Cataract and Refractive Surgery (26), 5pp 716-721, Published
Posterior capsular opacification with hydrogel, polymethylmethacrylate, and silicone intraocular lenses: two-year results of a randomized prospective trial
Hollick, Emma J., Spalton, David J., Ursell, Paul G., Meacock, Will R., Barman, Sarah A. and Boyce, James F., 2000, American Journal of Ophthalmology (129), 5pp 577-584, Published
Phase effects in double-focus and double-aperture interference microscopy
Barman, Sarah A., Walker, John G., Nunn, John W., Turner, Nicholas P. and Downs, Michael J., 2000, Applied Optics (39), 13pp 2159-2166, Published
The effect of polymethylmethacrylate, silicone, and polyacrylic intraocular lenses on posterior capsular opacification 3 years after cataract surgery
Hollick, Emma J., Spalton, David J., Ursell, Paul G., Pande, Milind V., Barman, Sarah A., Boyce, James F. and Tilling, Kate, 1999, Ophthalmology (106), 1pp 49-55, Published
The relationship between intraocular lens biomaterials and posterior capsule opacification: A 2 year prospective randomised trial comparing pmma, silicone and polyacrylic lenses
Ursell, P.G., Spalton, D.J., Pande, M.V., Hollick, E.J., Barman, S.A., Boyce, J.F. and Tilling, K., 1998, Journal of Cataract and Refractive Surgery (24), 3pp 352-360, Published
Proceedings of the British Machine Vision Conference 2004
(2005). Malvern, U.K.: [Published]
Artificial intelligence-enabled retinal vasculometry at scale utilizing the UK Biobank, CLSA, and NEL DESP datasets
Welikala, Roshan, Fajtl, Jiri, Johnson, Gordon, Rahman, Farzana, Podoleanu, Razvan, Remagnino, Paolo, Freeman, Ellen E., Chambers, Ryan, Bolter, Louis, Anderson, John, Olvera-Barrios, Abraham, Warwick, Alasdair, Foster, Paul J., Shakespeare, Royce, Ganguly, Rahul, Egan, Catherine, Tufail, Adnan, Owen, Christopher G., Rudnicka, Alicja R. and Barman, Sarah A. (2024). [Published]
D’OraCa: deep learning-based classification of oral lesions with mouth landmark guidance for early detection of oral cancer
Lim, Jian Han, Tan, Chun Shui, Chan, Chee Seng, Welikala, Roshan Alex, Remagnino, Paolo, Rajendran, Senthilmani, Kallarakkal, Thomas George, Zain, Rosnah Binti, Jayasinghe, Ruwan Duminda, Rimal, Jyotsna, Kerr, Alexander Ross, Amtha, Rahmi, Patil, Karthikeya, Tilakaratne, Wanninayake Mudiyanselage, Gibson, John, Cheong, Sok Ching and Barman, Sarah Ann (2021). [Published]
Clinically guided trainable soft attention for early detection of oral cancer
Welikala, Roshan, Remagnino, Paolo, Lim, Jian Han, Chan, Chee Seng, Rajendran, Senthilmani, Kallarakkal, Thomas George, Zain, Rosnah Binti, Jayasinghe, Ruwan Duminda, Rimal, Jyotsna, Kerr, Alexander Ross, Amtha, Rahmi, Patil, Karthikeya, Tilakaratne, Wanninayake Mudiyanselage, Cheong, Sok Ching and Barman, Sarah Ann (2021). [Published]
Fine-tuning deep learning architectures for early detection of oral cancer
Welikala, Roshan Alex, Remagnino, Paolo, Lim, Jian Han, Chan, Chee Seng, Rajendran, Senthilmani, Kallarakkal, Thomas George, Zain, Rosnah Binti, Jayasinghe, Ruwan Duminda, Rimal, Jyotsna, Kerr, Alexander Ross, Amtha, Rahmi, Patil, Karthikeya, Tilakaratne, Wanninayake Mudiyanselage, Gibson, John, Cheong, Sok Ching and Barman, Sarah Ann (2020). [Published]
Image quality assessment
Barman, Sarah A., Welikala, Roshan A., Rudnicka, Alicja R. and Owen, Christopher G. (2019). In: Trucco, Emanuele, MacGillivray, Tom, Xu, Yanwu, (eds.), London, U.K.:pp 135-155 [Published]
Automated quantification of retinal vessel morphometry in the UK Biobank Cohort
Welikala, R.A., Fraz, M.M., Habib, M.M., Daniel-Tong, S., Yates, M., Foster, P.J., Whincup, P.H., Rudnicka, A.R., Owen, C.G., Strachan, D.P. and Barman, S.A (2017). [Published]
Microaneurysm detection in retinal images using an ensemble classifier
Habib, M. M., Welikala, R. A., Hoppe, A., Owen, C. G., Rudnicka, A. R. and Barman, S. A. (2016). [Published]
Automated retinal vessel recognition and measurements on large datasets
Strachan, David P, Barman, Sarah A, Welikala, Roshan A, Fraz, Muhammad M, Hayat, Shabina, Rudnicka, Alicja R, Foster, Paul J, Whincup, Peter H and Owen, Chris G (2015). [Published]
Computer vision algorithms applied to retinal vessel segmentation and quantification of vessel caliber
Fraz, Muhammad Moazam and Barman, Sarah A. (2014). In: Ng, E. Y. K., Acharya, U. Rajendra, Suri, Jasjit S., Campilho, Aurelio, (eds.), Boca Raton, U.S.:pp 49-84 [Published]
Ensemble classification applied to retinal blood vessel segmentation: theory and implementation
Fraz, Muhammad Moazam and Barman, Sarah A. (2014). In: Ng, E. Y. K, Acharya, U. Rajendra, Suri, Jasjit S., Campilho, Aurelio, (eds.), Boca Raton, U.S.:pp 23-48 [Published]
Retinal vessel segmentation using ensemble classifier of bagged decision trees
Fraz, M. M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Rudnicka, A., Owen, C. G. and Barman, S. A. (2012). [Published]
Ensemble classification system applied for retinal vessel segmentation on child images containing various vessel profiles
Fraz, M. M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Rudnicka, A. R., Owen, C. G. and Barman, S. A. (2012). In: Campilho, Aur├®lio, Kamel, Mohamed, (eds.), Berlin: Springerpp 380-389 [Published]
Automatic microaneurysm detection from non-dilated diabetic retinopathy retinal images
Sopharak, Akara, Uyyanonvara, Bunyarit, Barman, Sarah and Williamson, Tom (2011). [Published]
Retinal Vessel Extraction Using First-Order Derivative of Gaussian and Morphological Processing
Fraz, M. M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Owen, Christopher G., Rudnicka, Alicja R. and Barman, S. A. (2011). In: Bebis, George, Boyle, Richard, Parvin, Bahram, Koracin, Darko, Wang, Song, Kyungnam, Kim, Benes, Bedrich, Moreland, Kenneth, Borst, Christoph, DiVerdi, Stephen, Yi-Jen, Chiang, Ming, Jiang, (eds.) Springer Berlin Heidelbergpp 410-420 [Published]
Plant texture classification using Gabor co-occurrences
Cope, James S., Remagnino, Paolo, Barman, Sarah and Wilkin, Paul (2010). In: Bebis, George, Boyle, Richard, Parvin, Bahram, Koracin, Darko, Chung, Ronald, Hammound, Riad, Hussain, Muhammad, Kar-Han, Tan, Crawfis, Roger, Thalmann, Daniel, Kao, David, Avila, Lisa, (eds.) Springerpp 699-677 [Published]
Artificial ants to extract leaf outlines and primary venation patterns
Mullen, Robert J., Monekosso, Dorothy, Barman, Sarah, Remagnino, Paolo and Wilkin, Paul (2008). In: Dorigo, Marco, Birattari, Mauro, Blum, Christian, Clerc, Maurice, St├╝tzle, Thomas, Winfield, Alan F.T., (eds.), Berlin: Springerpp 251-258 [Published]
Venation pattern analysis of leaf images
Clarke, James, Barman, Sarah, Remagnino, Paolo, Bailey, Ken, Kirkup, Don, Mayo, Simon and Wilkin, Paul (2006). pp 427-436 [Published]
Artificial intelligence-enabled retinal vasculometry at scale utilizing the UK Biobank, CLSA, and NEL DESP datasets
Welikala, Roshan A., Fajtl, Jiri, Johnson, Gordon, Rahman, Farzana, Podoleanu, Razvan, Remagnino, Paolo, Freeman, Ellen E., Chambers, Ryan, Bolter, Louis, Anderson, John, Olvera-Barrios, Abraham, Warwick, Alasdair, Foster, Paul J., Shakespeare, Royce, Ganguly, Rahul, Egan, Catherine, Tufail, Adnan, Owen, Christopher G., Rudnicka, Alicja R. and Barman, Sarah A.(2024). [Published]
Analysis on multi-ethnic retinal fundus image datasets of debiasing techniques in deep learning for diabetic macular edema recognition
Hegde, Meg, Rahman, Farzana, Welikala, Roshan, Fajtl, Jiri, Owen, Christopher, Rudnicka, Alicja and Barman, Sarah(2024). [Published]
D’OraCa: deep learning-based classification of oral lesions with mouth landmark guidance for early detection of oral cancer
Lim, Jian Han, Tan, Chun Shui, Chan, Chee Seng, Welikala, Roshan Alex, Remagnino, Paolo, Rajendran, Senthilmani, Kallarakkal, Thomas George, Zain, Rosnah Binti, Jayasinghe, Ruwan Duminda, Rimal, Jyotsna, Kerr, Alexander Ross, Amtha, Rahmi, Patil, Karthikeya, Tilakaratne, Wanninayake Mudiyanselage, Gibson, John, Cheong, Sok Ching and Barman, Sarah Ann(2021). [Published]
Clinically guided trainable soft attention for early detection of oral cancer
Welikala, Roshan, Remagnino, Paolo, Lim, Jian Han, Chan, Chee Seng, Rajendran, Senthilmani, Kallarakkal, Thomas George, Zain, Rosnah Binti, Jayasinghe, Ruwan Duminda, Rimal, Jyotsna, Kerr, Alexander Ross, Amtha, Rahmi, Patil, Karthikeya, Tilakaratne, Wanninayake Mudiyanselage, Cheong, Sok Ching and Barman, Sarah Ann(2021). [Published]
Fine-tuning deep learning architectures for early detection of oral cancer
Welikala, Roshan Alex, Remagnino, Paolo, Lim, Jian Han, Chan, Chee Seng, Rajendran, Senthilmani, Kallarakkal, Thomas George, Zain, Rosnah Binti, Jayasinghe, Ruwan Duminda, Rimal, Jyotsna, Kerr, Alexander Ross, Amtha, Rahmi, Patil, Karthikeya, Tilakaratne, Wanninayake Mudiyanselage, Gibson, John, Cheong, Sok Ching and Barman, Sarah Ann(2020). [Published]
Automated quantification of retinal vessel morphometry in the UK Biobank Cohort
Welikala, R.A., Fraz, M.M., Habib, M.M., Daniel-Tong, S., Yates, M., Foster, P.J., Whincup, P.H., Rudnicka, A.R., Owen, C.G., Strachan, D.P. and Barman, S.A(2017). [Published]
Microaneurysm detection in retinal images using an ensemble classifier
Habib, M.M., Welikala, R.A., Hoppe, A., Owen, C.G., Rudnicka, A.R. and Barman, S.A.(2016). [Published]
Automated retinal vessel recognition and measurements on large datasets
Strachan, David P, Barman, Sarah A, Welikala, Roshan A, Fraz, Muhammad M, Hayat, Shabina, Rudnicka, Alicja R, Foster, Paul J, Whincup, Peter H and Owen, Chris G(2015). [Published]
Software for the Quantification of Glistenings in Intra-Ocular Lenses
Japunya, Teeranoot, Jitpakdee, Parisut, Uyyanonvara, Bunyarit, Aimmanee, Pakinee, Philippaki, Eva, Hull, Chris and Barman, Sarah(2014). [Published]
Differing matched filter responsivity for the detection of proliferative diabetic retinopathy
Welikala, Roshan A., Tah, Vikas, Williamson, Tom H., Hoppe, Andreas, Dehmeshki, Jamshid and Barman, Sarah A.(2014). [Published]
Automated arteriole and venule recognition in retinal images using ensemble classification
Fraz, M. M., Rudincka, A. R., Owen, C. G., Strachan, D. P. and Barman, S. P.(2014). [Published]
Retinal image analysis aimed at extraction of vascular structure using linear discriminant classifier
Fraz, M. M., Remagnino, P., Hoppe, A. and Barman, S. A.(2013). [Published]
A Model Based Approach for Vessel Caliber Measurement in Retinal Images
Fraz, Muhammad Moazam, Remagnino, Paolo, Hoppe, Andreas, Barman, Sarah A., Rudnicka, Alicja, Owen, Chris and Whincup, Peter(2012). [Published]
Retinal vessel segmentation using ensemble classifier of bagged decision trees
Fraz, M. M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Rudnicka, A., Owen, C. G. and Barman, S. A.(2012). [Published]
A supervised method for retinal blood vessel segmentation using line strength multiscale gabor and morphological features
Fraz, M. M., Remagnino, P., Hoppe, A., Velastin, Sergio, Uyyanonvara, B. and Barman, S. A.(2011). [Published]
Retinal vasculature segmentation by morphological curvature, reconstruction and adapted hysteresis thresholding
Fraz, M. Moazam, Basit, A., Remagnino, P., Hoppe, A. and Barman, S. A.(2011). [Published]
Automatic microaneurysm detection from non-dilated diabetic retinopathy retinal images
Sopharak, Akara, Uyyanonvara, Bunyarit, Barman, Sarah and Williamson, Tom(2011). [Published]
Drusen detection based on Scale-space with Feature Stability
Duanggate, C, Uyyanonvara, B, Makhanov, S, Barman, S A and Williamson, T(2011). [Published]
Shape and texture based plant leaf classification
Beghin, Thibaut, Cope, James, Remagnino, Paolo and Barman, Sarah(2010). [Published]
The extraction of venation from leaf images by evolved vein classifiers and ant colony algorithms
Cope, James S., Remagnino, Paolo, Barman, Sarah and Wilkin, Paul(2010). [Published]
Reactive coordination and adaptive lattice formation in mobile robotic surveillance swarms
Mullen, Robert, Monekosso, Dorothy, Barman, Sarah and Remagnino, Paolo(2010). [Published]
A Genetic type-2 fuzzy logic system for pattern recognition in computer aided detection systems
Hosseini, Rahil, Dehmeshki, Jamshid, Barman, Sarah, Mazinani, Mahdi and Qanadli, Salah(2010). [Published]
Variable size blob detection with feature stability
Inthajak, Krit, Duanggate, Cattleya, Uyyanonvara, Bunyarit, Makhanov, Stanislav S., Barman, Sarah and Williamson, Tom(2010). [Published]
Comparative analysis of automatic exudate detection algorithms
Barman, Sarah, Sopharak, Akara, Uyyanonvara, Bunyarit and Williamson, Thomas(2010). [Published]
A fuzzy logic system for classification of the lung nodule in digital images in computer aided detection
Hosseini, Rahil, Dehmeshki, Jamshid, Barman, Sarah, Mazinani, Mahdi, Jouannic, Anne Marie and Qanadli, Salah(2010). [Published]
Automatic optic disc detection for ROP images using scale-space theory
Duanggate, Cattleya, Inthajak, Krit, Uyyanonvara, Bunyarit, Makhanov, Stanislav S., Barman, Sarah and Williamson, Tom(2010). [Published]
Modeling uncertainty in classification design of computer aided detection
Hosseini, Rahil, Dehmeshki, Jamshid, Barman, Sarah, Mazinani, Mahdi and Qanadli, Salah(2010). [Published]
Enhanced support region for scale-space blob detection
Duanggate, Cattleya, Uyyanonvara, Bunyarit, Makhanov, Stanislav S. and Barman, Sarah(2009). [Published]
Autonomous control laws for mobile robotic surveillance swarms
Mullen, Robert J., Monekosso, Dorothy N., Barman, Sarah A. and Remagnino, Paolo(2009). [Published]
Comparative analysis of automatic exudate detection with traditional and machine learning methods
Sopharak, Akara, Uyyanonvara, Bunyarit, Barman, Sarah and Williamson, Thomas H.(2009). [Published]
Automated detection of age-related macular degeneration for screening programmes
Saini, Navdeep, Williamson, Tom, Barman, Sarah, Uyyanonvara, Bunyarit, Sopharak, Akara and Duanggate, Cattleya(2008). [Published]
Automatic exudate detection with a support vector machine classifier
Sopharak, Akara, Nwe, Khine Thet, Moe, Yin Aye, Dailey, Matthew N., Uyyanonvara, Bunyarit and Barman, Sarah(2008). [Published]
Venation pattern analysis of leaf images
Clarke, James, Barman, Sarah, Remagnino, Paolo, Bailey, Ken, Kirkup, Don, Mayo, Simon and Wilkin, Paul(2006). [Published]
Measurement of profiled surfaces using polarising optical interferometry
Barman, Sarah Ann (1996), PhD thesis [Accepted/In press]