Making Deep Learning Models Clinically Useful - Improving Diagnostic Confidence in Inherited Retinal Disease with Conformal Prediction - Biraja Ghoshal; William Woof; Bernardo Mendes; Saoud Al-Khuzaei; Thales Antonio Cabral De Guimaraes; Malena Daich Varela; Yichen Liu; Sagnik Sen; Siying Lin; Mital Shah; Yu Fujinami-Yokokawa; Andrew R. Webster; et al. (Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 6th International Workshop, UNSURE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings, 2024)

Exploring Multimodal Large Language Models for Radiology Report Error-checking - Jinge Wu; Yunsoo Kim; Eva C. Keller; Jamie Chow; Adam P. Levine; Nikolas Pontikos; Zina M. Ibrahim; Paul Taylor; Michelle C. Williams; Honghan Wu (CoRR, 2023)

Code-free deep learning for multi-modality medical image classification - Edward Korot; Zeyu Guan; Daniel Ferraz; Siegfried K. Wagner; Gongyu Zhang; Xiaoxuan Liu; Livia Faes; Nikolas Pontikos; Samuel G. Finlayson; Hagar Khalid; Gabriella Moraes; Konstantinos Balaskas; et al. (Nat. Mach. Intell., 2021)

ADDO: a comprehensive toolkit to detect, classify and visualize additive and non-additive quantitative trait loci - Leilei Cui; Bin Yang; Nikolas Pontikos; Richard Mott; Lusheng Huang (Bioinform., 2020)

A Hybrid Machine Learning Approach Using LBP Descriptor and PCA for Age-Related Macular Degeneration Classification in OCTA Images - Abdullah Alfahaid; Tim Morris; Tim Cootes; Pearse A. Keane; Hagar Khalid; Nikolas Pontikos; Panagiotis I. Sergouniotis; Konstantinos Balaskas (Medical Image Understanding and Analysis - 23rd Conference, MIUA 2019, Liverpool, UK, July 24-26, 2019, Proceedings, 2019)

Phenopolis: an open platform for harmonization and analysis of genetic and phenotypic data - Nikolas Pontikos; Jing Yu; Ismail Moghul; Lucy Withington; Fiona Blanco-Kelly; Tom Vulliamy; Tsz Lun Ernest Wong; Cian Murphy; Valentina Cipriani; Alessia Fiorentino; Gavin Arno; Daniel Greene; et al. (Bioinform., 2017)

Pheno4J: a gene to phenotype graph database - Sajid Mughal; Ismail Moghul; Jing Yu; Ukirdc; Tristan Clark; David S. Gregory; Nikolas Pontikos (Bioinform., 2017)

The Human Phenotype Ontology in 2017 - Sebastian Köhler; Nicole A. Vasilevsky; Mark Engelstad; Erin Foster; Julie A. McMurry; Ségolène Aymé; Gareth Baynam; Susan M. Bello; Cornelius F. Boerkoel; Kym M. Boycott; Michael Brudno; Orion J. Buske; et al. (Nucleic Acids Res., 2017)