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Jonathan M Garibaldi

Showing results (11-20 of 35) with videos related to

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Medical Image Analysis|July 23, 2022
LMISA: A lightweight multi-modality image segmentation network via domain adaptation using gradient magnitude and shape constraintMina Jafari, Susan Francis, Jonathan M Garibaldi, et al.
Plos One|July 19, 2012
Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression dataEnrico Glaab, Jaume Bacardit, Jonathan M Garibaldi, et al.
Journal of Computational Chemistry|September 20, 2005
Lattice models of peptide aggregation: evaluation of conformational search algorithmsMark T Oakley, Jonathan M Garibaldi, Jonathan D Hirst
Plos One|September 2, 2015
Semi-Supervised Fuzzy Clustering with Feature DiscriminationLonglong Li, Jonathan M Garibaldi, Dongjian He, et al.
BMC Medical Genomics|April 18, 2019
Young adults' attitudes to sharing whole-genome sequencing information: a university-based surveyPepita Barnard, Sarah Sharples, Brian J Thomson, et al.
Plos One|April 5, 2017
Can machine-learning improve cardiovascular risk prediction using routine clinical data?Stephen F Weng, Jenna Reps, Joe Kai, et al.
Plos One|March 26, 2015
Juxtaposition of system dynamics and agent-based simulation for a case study in immunosenescenceGrazziela P Figueredo, Peer-Olaf Siebers, Uwe Aickelin, et al.
Journal of Biomedical Informatics|June 28, 2015
A supervised adverse drug reaction signalling framework imitating Bradford Hill's causality considerationsJenna Marie Reps, Jonathan M Garibaldi, Uwe Aickelin, et al.
Computer Methods and Programs in Biomedicine|May 13, 2017
Modeling and control of operator functional state in a unified framework of fuzzy inference petri netsJian-Hua Zhang, Jia-Jun Xia, Jonathan M Garibaldi, et al.
Journal of Biomedical Informatics|January 24, 2012
Incorporation of expert variability into breast cancer treatment recommendation in designing clinical protocol guided fuzzy rule system modelsJonathan M Garibaldi, Shang-Ming Zhou, Xiao-Ying Wang, et al.
Pageof 4

Showing results (11-20 of 35) with videos related to

Sort By:
Pageof 4
Medical Image Analysis|July 23, 2022
LMISA: A lightweight multi-modality image segmentation network via domain adaptation using gradient magnitude and shape constraintMina Jafari, Susan Francis, Jonathan M Garibaldi, et al.
Plos One|July 19, 2012
Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression dataEnrico Glaab, Jaume Bacardit, Jonathan M Garibaldi, et al.
Journal of Computational Chemistry|September 20, 2005
Lattice models of peptide aggregation: evaluation of conformational search algorithmsMark T Oakley, Jonathan M Garibaldi, Jonathan D Hirst
Plos One|September 2, 2015
Semi-Supervised Fuzzy Clustering with Feature DiscriminationLonglong Li, Jonathan M Garibaldi, Dongjian He, et al.
BMC Medical Genomics|April 18, 2019
Young adults' attitudes to sharing whole-genome sequencing information: a university-based surveyPepita Barnard, Sarah Sharples, Brian J Thomson, et al.
Plos One|April 5, 2017
Can machine-learning improve cardiovascular risk prediction using routine clinical data?Stephen F Weng, Jenna Reps, Joe Kai, et al.
Plos One|March 26, 2015
Juxtaposition of system dynamics and agent-based simulation for a case study in immunosenescenceGrazziela P Figueredo, Peer-Olaf Siebers, Uwe Aickelin, et al.
Journal of Biomedical Informatics|June 28, 2015
A supervised adverse drug reaction signalling framework imitating Bradford Hill's causality considerationsJenna Marie Reps, Jonathan M Garibaldi, Uwe Aickelin, et al.
Computer Methods and Programs in Biomedicine|May 13, 2017
Modeling and control of operator functional state in a unified framework of fuzzy inference petri netsJian-Hua Zhang, Jia-Jun Xia, Jonathan M Garibaldi, et al.
Journal of Biomedical Informatics|January 24, 2012
Incorporation of expert variability into breast cancer treatment recommendation in designing clinical protocol guided fuzzy rule system modelsJonathan M Garibaldi, Shang-Ming Zhou, Xiao-Ying Wang, et al.
Pageof 4