Multi-task learning model for agricultural pest detection from crop-plant imagery: A Bayesian approachAbderraouf Amrani, Ferdous Sohel, Dean Diepeveen et al.|Computers and Electronics in Agriculture|2024Cited by 48
Insect detection from imagery using YOLOv3-based adaptive feature fusion convolution networkAbderraouf Amrani, M. G. K. Jones, Ferdous Sohel et al.|Crop and Pasture Science|2022Cited by 45
Deep learning-based detection of aphid colonies on plants from a reconstructed Brassica image datasetAbderraouf Amrani, Ferdous Sohel, Dean Diepeveen et al.|Computers and Electronics in Agriculture|2022Cited by 23
An artificial intelligence approach for predicting death or organ failure after hospitalization for COVID-19: development of a novel risk prediction tool and comparisons with ISARIC-4C, CURB-65, qSOFA, and MEWS scoring systemsStephen Wai Hang Kwok, Mohammed Yousufuddin, Ferdous Sohel et al.|Respiratory Research|2023Cited by 9
Development and internal validation of machine learning–based models and external validation of existing risk scores for outcome prediction in patients with ischaemic strokeDaniel Axford, Mohammed Yousufuddin, Ferdous Sohel et al.|European Heart Journal - Digital Health|2023Cited by 4