Image based grading of nuclear cataract by SVM regression. - Huiqi Li; Joo-Hwee Lim; Jiang Liu 001; Tien Yin Wong; Ava G. Tan; Jie Jin Wang; Paul Mitchell (Computer-Aided Diagnosis, 2008)

A Computer-Aided Diagnosis System of Nuclear Cataract. - Huiqi Li; Joo-Hwee Lim; Jiang Liu 001; Paul Mitchell; Ava G. Tan; Jie Jin Wang; Tien Yin Wong (IEEE Trans. Biomed. Eng., 2010)

Robust Methodology for Fractal Analysis of the Retinal Vasculature. - Mohd Zulfaezal Che Azemin; Dinesh Kant Kumar; Tien Yin Wong; Ryo Kawasaki; Paul Mitchell; Jie Jin Wang (IEEE Trans. Medical Imaging, 2011)

Characterizing spectrum goodness for dynamic spectrum access. - Aakanksha Chowdhery; Ranveer Chandra; Paul Garnett; Paul Mitchell (Allerton Conference, 2012)

Automated quantification of retinal arteriovenous nicking from colour fundus images. - Uyen T. V. Nguyen; Alauddin Bhuiyan; Laurence Anthony F. Park; Ryo Kawasaki; Tien Yin Wong; Jie Jin Wang; Paul Mitchell; Kotagiri Ramamohanarao (EMBC, 2013)

An Automated Method for Retinal Arteriovenous Nicking Quantification From Color Fundus Images. - Uyen T. V. Nguyen; Alauddin Bhuiyan; Laurence Anthony F. Park; Ryo Kawasaki; Tien Yin Wong; Jie Jin Wang; Paul Mitchell; Kotagiri Ramamohanarao (IEEE Trans. Biomed. Eng., 2013)

57 channel (19×3) spatial multiplexer fabricated using direct laser inscription. - Paul Mitchell; Graeme Brown; Robert Thomson 007; Nicholas Psaila; Ajoy K. Kar (OFC, 2014)

Experimental demonstration of 6-mode division multiplexed NG-PON2: Cost effective 40 Gbit/s/spatial-mode access based on 3D laser inscribed photonic lanterns. - Rameez Asif; Hao Hu 009; Paul Mitchell; John Macdonald; Francesco Da Ros; Nicholas Psaila; Feihong Ye; Leif Katsuo Oxenløwe; Toshio Morioka (ECOC, 2015)

Development of Health Parameter Model for Risk Prediction of CVD Using SVM. - Premith Unnikrishnan; Dinesh Kant Kumar; Sridhar Poosapadi Arjunan; Himeesh Kumar; Paul Mitchell; Ryo Kawasaki (Comput. Math. Methods Medicine, 2016)

90° Optical hybrid front-end circuit fabricated by 3D direct laser inscription. - Paul Mitchell; John Macdonald; Graeme Brown; Nicholas Psaila (OFC, 2017)

A deep learning model for segmentation of geographic atrophy to study its long-term natural history. - Bart Liefers; Johanna M. Colijn; Cristina González-Gonzalo; Timo Verzijden; Paul Mitchell; Carel B. Hoyng; Bram van Ginneken; Caroline C. W. Klaver; Clara I. Sánchez (CoRR, 2019)

Real-Time Demonstration of ARoF Fronthaul for High-Bandwidth mm-Wave 5G NR Signal Transmission over Multi-Core Fiber. - Simon Rommel; Bruno Cimoli; Evangelos Grivas; Delphin Dodane; Álvaro Morales; Evangelos Pikasis; Jerome Bourderionnet; Gilles Feugnet; Juliana Barros Carvalho; Michail Katsikis; Konstantinos Ntontin; Dimitrios Kritharidis; et al. (EuCNC, 2020)

Real-time high-bandwidth mm-wave 5G NR signal transmission with analog radio-over-fiber fronthaul over multi-core fiber. - Simon Rommel; Evangelos Grivas; Bruno Cimoli; Delphin Dodane; Álvaro Morales; Evangelos Pikasis; Jerome Bourderionnet; Gilles Feugnet; Juliana Barros Carvalho; Michail Katsikis; Konstantinos Ntontin; Dimitrios Kritharidis; et al. (EURASIP J. Wirel. Commun. Netw., 2021)

Machine Learning Techniques for Breast Cancer Detection. - Karl Hall; Victor Chang 001; Paul Mitchell (COMPLEXIS, 2022)

Local Optima Networks for Assisted Seismic History Matching Problems. - Paul Mitchell; Gabriela Ochoa; Yuri Cossich Lavinas; Romain Louis Chassagne (EvoApplications@EvoStar, 2023)

Local Optima Networks of the Black Box Optimisation Benchmark Functions. - Paul Mitchell; Gabriela Ochoa; Romain Louis Chassagne (GECCO Companion, 2023)

A generalizable deep learning regression model for automated glaucoma screening from fundus images. - Ruben Hemelings; Bart Elen; Alexander K. Schuster; Matthew B. Blaschko; João Barbosa Breda; Pekko Hujanen; Annika Junglas; Stefan Nickels; Andrew White; Norbert Pfeiffer; Paul Mitchell; Patrick De Boever; et al. (npj Digit. Medicine, 2023)