Medical Imaging
Deep learning for reading and interpreting medical images, such as ultrasound, to support diagnosis and clinical decisions.
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Clustering-based multi-class classification of complex disease
T Phongwattana, W Engchuan, JH Chan. Cited by 5
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Cerebellar ataxia in a young patient: A rare path to lupus
K Ghosh, A Chatterjee, S Ghosh, S Chakraborty. Cited by 16
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Paraparesis and pleural effusion in a young patient: A road less travelled
K Ghosh, S Ghosh, R Hazra, SK Jatua, S Chakraborty, A Chatterjee
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Pace and temporality in safety critical medical work: Concepts for understanding adaptation behaviors
K Sellen, M Chignell
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Nonconfidential Patient Types in Emergency Clinical Decision Support
M Chignell, M Rouzbahman, R Kealey, R Samavi, E Yu, T Sieminowski. Cited by 12
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Negotiating capture, resistance, errors, and identity: Confessions from the operating suite.
K Sellen, J Callum, M Chignell, A Halliday
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Individual differences in driving-related multitasking
S Mizobuchi, M Chignell, D Canella, M Eizenman. Cited by 2
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Measuring the Emotional Impacts of Multimedia eHealth
DM Lottridge, CHY Yu, M Chignell. Cited by 2
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Pathway-Based Multi-class Classification of Lung Cancer
W Engchuan, JH Chan. Cited by 7
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Identifying Emotion through Implicit and Explicit Measures: Cultural Differences, Cognitive Load, and Immersion
DM Lottridge, M Chignell, M Yasumura. Cited by 22
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Central executive functions likely mediate the impact of device operation when driving
S Mizobuchi, M Chignell, J Suzuki, K Koga, K Nawa. Cited by 7
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Automated Delineation of Subgroups in Web Video: A Medical Activism Case Study
A Chin, JE Keelan, GA TOMLINSON, V Pavri-Garcia, KR Wilson, M Chignell. Cited by 14