Automated detection of proliferative diabetic retinopathy using a modified line operator and dual classification. - R. A. Welikala 001; Jamshid Dehmeshki; Andreas Hoppe; Vikas Tah; Samantha Mann; Thomas H. Williamson; Sarah Barman (Comput. Methods Programs Biomed., 2014)

Automated detection of proliferative diabetic retinopathy from retinal images. - Roshan Alex Welikala (2014)

Automated retinal vessel recognition and measurements on large datasets. - R. A. Welikala 001; Muhammad Moazam Fraz; Shabina Hayat; Alicja R. Rudnicka; Paul J. Foster; Peter Whincup; Christopher G. Owen; David P. Strachan; Sarah A. Barman (EMBC, 2015)

Genetic algorithm based feature selection combined with dual classification for the automated detection of proliferative diabetic retinopathy. - R. A. Welikala 001; Muhammad Moazam Fraz; Jamshid Dehmeshki; Andreas Hoppe; Vikas Tah; Samantha Mann; Thomas H. Williamson; Sarah A. Barman (Comput. Medical Imaging Graph., 2015)

QUARTZ: Quantitative Analysis of Retinal Vessel Topology and size - An automated system for quantification of retinal vessels morphology. - Muhammad Moazam Fraz; R. A. Welikala 001; Alicja R. Rudnicka; Christopher G. Owen; David P. Strachan; Sarah A. Barman (Expert Syst. Appl., 2015)

Microaneurysm detection in retinal images using an ensemble classifier. - M. M. Habib; R. A. Welikala 001; Andreas Hoppe; Christopher G. Owen; Alicja R. Rudnicka; Sarah A. Barman (IPTA, 2016)

Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studies. - R. A. Welikala 001; M. M. Fraz 001; P. J. Foster; Peter Whincup; Alicja R. Rudnicka; Christopher G. Owen; David P. Strachan; Sarah A. Barman (Comput. Biol. Medicine, 2016)

Automated quantification of retinal vessel morphometry in the UK biobank cohort. - R. A. Welikala 001; M. M. Fraz 001; M. M. Habib; S. Daniel-Tong; Max Yates; P. J. Foster; Peter Whincup; Alicja R. Rudnicka; Christopher G. Owen; David P. Strachan; Sarah Ann Barman (IPTA, 2017)

Automated arteriole and venule classification using deep learning for retinal images from the UK Biobank cohort. - R. A. Welikala 001; P. J. Foster; Peter Whincup; Alicja R. Rudnicka; Christopher G. Owen; David P. Strachan; Sarah Barman (Comput. Biol. Medicine, 2017)

Fine-Tuning Deep Learning Architectures for Early Detection of Oral Cancer. - Roshan Alex Welikala; Paolo Remagnino; Jian Han Lim; Chee Seng Chan; Senthilmani Rajendran; Thomas George Kallarakkal; Rosnah Binti Zain; Ruwan Duminda Jayasinghe; Jyotsna Rimal; Alexander Ross Kerr; Rahmi Amtha; Karthikeya Patil; et al. (ISMCO, 2020)

Automated Detection and Classification of Oral Lesions Using Deep Learning for Early Detection of Oral Cancer. - Roshan Alex Welikala; Paolo Remagnino; Jian Han Lim; Chee Seng Chan; Senthilmani Rajendran; Thomas George Kallarakkal; Rosnah Binti Zain; Ruwan Duminda Jayasinghe; Jyotsna Rimal; Alexander Ross Kerr; Rahmi Amtha; Karthikeya Patil; et al. (IEEE Access, 2020)

Clinically Guided Trainable Soft Attention for Early Detection of Oral Cancer. - Roshan Alex Welikala; Paolo Remagnino; Jian Han Lim; Chee Seng Chan; Senthilmani Rajendran; Thomas George Kallarakkal; Rosnah Binti Zain; Ruwan Duminda Jayasinghe; Jyotsna Rimal; Alexander Ross Kerr; Rahmi Amtha; Karthikeya Patil; et al. (CAIP (1), 2021)

D'OraCa: Deep Learning-Based Classification of Oral Lesions with Mouth Landmark Guidance for Early Detection of Oral Cancer. - Jian Han Lim; Chun Shui Tan; Chee Seng Chan; Roshan Alex Welikala; Paolo Remagnino; Senthilmani Rajendran; Thomas George Kallarakkal; Rosnah Binti Zain; Ruwan Duminda Jayasinghe; Jyotsna Rimal; Alexander Ross Kerr; Rahmi Amtha; et al. (MIUA, 2021)

Artificial Intelligence-Enabled Retinal Vasculometry at Scale Utilizing the UK Biobank, CLSA, and NEL DESP Datasets. - Roshan Alex Welikala; Jiri Fajtl; Gordon Johnson; Farzana Rahman; Razvan Podoleanu; Paolo Remagnino; Ellen E. Freeman; Ryan Chambers; Louis Bolter; John Anderson; Abraham Olvera Barrios; Alasdair Warwick; et al. (BHI, 2024)