Article

Brown, James, Campbell, J. Peter, Beers, Andrew, Chang, Ken, Ostmo, Susan, Chan, R. V. Paul, Dy, Jennifer, Erdogmus, Deniz, Ioannidis, Stratis, Kalpathy-Cramer, Jayashree and Chiang, Michael F. (2018) Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks. JAMA Ophthalmology, 136 (7). pp. 803-810. ISSN 2168-6165

Brown, James, Campbell, J. Peter, Beers, Andrew, Chang, Ken, Donohue, Kyra, Ostmo, Susan, Chan, R.V. Paul, Dy, Jennifer, Erdogmus, Deniz, Ioannidis, Stratis, Chiang, Michael F. and Kalpathy-Cramer, Jayashree (2018) Fully automated disease severity assessment and treatment monitoring in retinopathy of prematurity using deep learning. Proceedings of SPIE, 10579 . p. 22. ISSN 1605-7422

Campbell, J Peter, Kim, Sang Jin, Brown, James M, Ostmo, Susan, Chan, R V Paul, Kalpathy-Cramer, Jayashree and Chiang, Michael F (2021) Evaluation of a Deep Learning-Derived Quantitative Retinopathy of Prematurity Severity Scale. Ophthalmology, 128 (7). pp. 1070-1076. ISSN 0161-6420

Campbell, J Peter, Singh, Praveer, Redd, Travis, Brown, James M., Shah, Parag K, Subramanian, Prema, Rajan, Renu, Valikodath, Nita, Cole, Emily, Ostmo, Susan, Chan, R V Paul, Venkatapathy, Narendran, Chiang, Michael F and Kalpathy-Cramer, Jayashree (2021) Applications of Artificial Intelligence for Retinopathy of Prematurity Screening. Pediatrics, 147 (3). e2020016618. ISSN 0031-4005

Kotsiliti, Evangelia, Hunter, Andrew and Al-Diri, Bashir (2017) A classification model for predicting diabetic retinopathy based on patient characteristics and biochemical measures. Journal for Modeling in Ophthalmology, 1 (4). pp. 69-85.

Li, Matthew D, Chang, Ken, Bearce, Ben, Chang, Connie Y, Huang, Ambrose J, Campbell, J Peter, Brown, James M, Singh, Praveer, Hoebel, Katharina V, Erdoğmuş, Deniz, Ioannidis, Stratis, Palmer, William E, Chiang, Michael F and Kalpathy-Cramer, Jayashree (2020) Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. npj Digital Medicine, 3 (48). ISSN 2398-6352

Waddington, Jonathan and Hodgson, Timothy (2017) Review of rehabilitation and habilitation strategies for children and young people with homonymous visual field loss caused by cerebral vision impairment. British Journal of Visual Impairment, 35 (3). pp. 197-210. ISSN 0264-6196

Waddington, Jonathan, Linehan, Conor, Gerling, Kathrin, Williams, Cathy, Robson, Leone and Hodgson, Timothy (2018) Evaluation of ‘Eyelander’: a video game designed to engage children and young people with homonymous visual field loss in compensatory training. Journal of Visual Impairment & Blindness, 112 (6). pp. 717-730. ISSN 0145-482X

Conference or Workshop contribution

Caliva, Francesco, Antiga, Luca, Al-Diri, Bashir and Hunter, Andrew (2016) Bayesian expectation maximization approach for classification of arteries and veins. In: IOVS ARVO 2016, 1 - 5 May 2016, Seattle, Washington.

Hunter, Andrew, Lowell, J., Habib, M., Ryder, B., Basu, A. and Steel, D. (2011) An automated retinal image quality grading algorithm. In: 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, 30 August - 3 September 2011, Boston, MA.

Hunter, Andrew, Lowell, James A., Ryder, Bob, Basu, Ansu and Steel, David (2011) Automated diagnosis of referable maculopathy in diabetic retinopathy screening. In: 33rd Annual International Conference of the IEEE EMBS, August 30 - September 3 2011, Boston, USA.

Ometto, Giovanni, Caliva, Francesco, Al-Diri, Bashir, Bek, Toke and Hunter, Andrew (2016) Automated detection of retinal landmarks for the identification of clinically relevant regions in fundus photography. In: SPIE Medical Imaging, 27 Feb - 3 Mar 2016, San Diego, CA.

Waddington, Jonathan, Linehan, Conor, Gerling, Kathrin, Hicks, Kieran and Hodgson, Timothy L. (2015) Participatory Design of Therapeutic Video Games for Young People with Neurological Vision Impairment. In: CHI 2015.

Book or Monograph

Keeling, June, Chapman, Hazel and Williams, Julie (2013) How to write well: a guide for health and social care students. McGraw-Hill/OUP, London. ISBN 9780335244935