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Keelin Murphy

Showing results (11-20 of 34) with videos related to

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Plos One|July 30, 2021
Deep learning with robustness to missing data: A novel approach to the detection of COVID-19Erdi Çallı, Keelin Murphy, Steef Kurstjens, et al.
Radiology|February 4, 2010
Pulmonary ground-glass nodules: increase in mass as an early indicator of growthBartjan de Hoop, Hester Gietema, Saskia van de Vorst, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|December 25, 2014
Automated analysis of multi-channel EEG in preterm infantsKeelin Murphy, Nathan J Stevenson, Robert M Goulding, et al.
European Radiology|May 17, 2024
Performance of AI to exclude normal chest radiographs to reduce radiologists' workloadSteven Schalekamp, Kicky van Leeuwen, Erdi Calli, et al.
Journal of Clinical Tuberculosis and Other Mycobacterial Diseases|June 23, 2025
Performance of CAD4TB artificial intelligence technology in TB screening programmes among the adult population in South Africa and LesothoNonhlanhla Nzimande, Keelin Murphy, Klaus Reither, et al.
Medical Physics|February 24, 2010
Automated estimation of progression of interstitial lung disease in CT imagesYulia Arzhaeva, Mathias Prokop, Keelin Murphy, et al.
Journal of Medical Case Reports|August 24, 2023
Incidental radiological findings during clinical tuberculosis screening in Lesotho and South Africa: a case seriesNaomi Glaser, Shannon Bosman, Thandanani Madonsela, et al.
Neuroimage. Clinical|February 10, 2017
Automatic quantification of ischemic injury on diffusion-weighted MRI of neonatal hypoxic ischemic encephalopathyKeelin Murphy, Niek E van der Aa, Simona Negro, et al.
PLOS Global Public Health|May 16, 2023
Optimising computer aided detection to identify intra-thoracic tuberculosis on chest x-ray in South African childrenMegan Palmer, James A Seddon, Marieke M van der Zalm, et al.
ERJ Open Research|January 10, 2024
Computer-aided detection thresholds for digital chest radiography interpretation in tuberculosis diagnostic algorithmsFiona Vanobberghen, Alfred Kipyegon Keter, Bart K M Jacobs, et al.
Pageof 4

Showing results (11-20 of 34) with videos related to

Sort By:
Pageof 4
Plos One|July 30, 2021
Deep learning with robustness to missing data: A novel approach to the detection of COVID-19Erdi Çallı, Keelin Murphy, Steef Kurstjens, et al.
Radiology|February 4, 2010
Pulmonary ground-glass nodules: increase in mass as an early indicator of growthBartjan de Hoop, Hester Gietema, Saskia van de Vorst, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|December 25, 2014
Automated analysis of multi-channel EEG in preterm infantsKeelin Murphy, Nathan J Stevenson, Robert M Goulding, et al.
European Radiology|May 17, 2024
Performance of AI to exclude normal chest radiographs to reduce radiologists' workloadSteven Schalekamp, Kicky van Leeuwen, Erdi Calli, et al.
Journal of Clinical Tuberculosis and Other Mycobacterial Diseases|June 23, 2025
Performance of CAD4TB artificial intelligence technology in TB screening programmes among the adult population in South Africa and LesothoNonhlanhla Nzimande, Keelin Murphy, Klaus Reither, et al.
Medical Physics|February 24, 2010
Automated estimation of progression of interstitial lung disease in CT imagesYulia Arzhaeva, Mathias Prokop, Keelin Murphy, et al.
Journal of Medical Case Reports|August 24, 2023
Incidental radiological findings during clinical tuberculosis screening in Lesotho and South Africa: a case seriesNaomi Glaser, Shannon Bosman, Thandanani Madonsela, et al.
Neuroimage. Clinical|February 10, 2017
Automatic quantification of ischemic injury on diffusion-weighted MRI of neonatal hypoxic ischemic encephalopathyKeelin Murphy, Niek E van der Aa, Simona Negro, et al.
PLOS Global Public Health|May 16, 2023
Optimising computer aided detection to identify intra-thoracic tuberculosis on chest x-ray in South African childrenMegan Palmer, James A Seddon, Marieke M van der Zalm, et al.
ERJ Open Research|January 10, 2024
Computer-aided detection thresholds for digital chest radiography interpretation in tuberculosis diagnostic algorithmsFiona Vanobberghen, Alfred Kipyegon Keter, Bart K M Jacobs, et al.
Pageof 4