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M Jorge

Showing results (121-130 of 590) with videos related to

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Medical Image Analysis|December 21, 2022
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative modelsGuilherme Pombo, Robert Gray, M Jorge Cardoso, et al.
IEEE Transactions on Medical Imaging|April 17, 2015
Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and FusionM Jorge Cardoso, Marc Modat, Robin Wolz, et al.
Antimicrobial Agents and Chemotherapy|September 28, 2011
New role of the disulfide stress effector YjbH in β-lactam susceptibility of Staphylococcus aureusNadine Göhring, Iris Fedtke, Guoqing Xia, et al.
Neuroimage. Clinical|November 8, 2014
Brain volume estimation from post-mortem newborn and fetal MRIEliza Orasanu, Andrew Melbourne, M Jorge Cardoso, et al.
JAMA Network Open|May 9, 2024
Risk Factors for Hydroxychloroquine Retinopathy and Its SubtypesApril M Jorge, Ronald B Melles, Michael F Marmor, et al.
Journal of Virological Methods|August 3, 2001
Usefulness of blood and urine samples collected on filter paper in detecting cytomegalovirus by the polymerase chain reaction techniqueA Y Yamamoto, M M Mussi-Pinhata, P C Pinto, et al.
Neurobiology of Aging|February 26, 2017
APOE ε4 status is associated with white matter hyperintensities volume accumulation rate independent of AD diagnosisCarole H Sudre, M Jorge Cardoso, Chris Frost, et al.
Neuroimage|October 19, 2020
Robust parametric modeling of Alzheimer's disease progressionMostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, et al.
IEEE Access : Practical Innovations, Open Solutions|January 31, 2024
Sleep-Energy: An Energy Optimization Method to Sleep Stage ScoringBruno Aristimunha, Alexandre Janoni Bayerlein, M Jorge Cardoso, et al.
Medical Image Analysis|January 26, 2019
Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modelingMostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, et al.
Pageof 59

Showing results (121-130 of 590) with videos related to

Sort By:
Pageof 59
Medical Image Analysis|December 21, 2022
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative modelsGuilherme Pombo, Robert Gray, M Jorge Cardoso, et al.
IEEE Transactions on Medical Imaging|April 17, 2015
Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and FusionM Jorge Cardoso, Marc Modat, Robin Wolz, et al.
Antimicrobial Agents and Chemotherapy|September 28, 2011
New role of the disulfide stress effector YjbH in β-lactam susceptibility of Staphylococcus aureusNadine Göhring, Iris Fedtke, Guoqing Xia, et al.
Neuroimage. Clinical|November 8, 2014
Brain volume estimation from post-mortem newborn and fetal MRIEliza Orasanu, Andrew Melbourne, M Jorge Cardoso, et al.
JAMA Network Open|May 9, 2024
Risk Factors for Hydroxychloroquine Retinopathy and Its SubtypesApril M Jorge, Ronald B Melles, Michael F Marmor, et al.
Journal of Virological Methods|August 3, 2001
Usefulness of blood and urine samples collected on filter paper in detecting cytomegalovirus by the polymerase chain reaction techniqueA Y Yamamoto, M M Mussi-Pinhata, P C Pinto, et al.
Neurobiology of Aging|February 26, 2017
APOE ε4 status is associated with white matter hyperintensities volume accumulation rate independent of AD diagnosisCarole H Sudre, M Jorge Cardoso, Chris Frost, et al.
Neuroimage|October 19, 2020
Robust parametric modeling of Alzheimer's disease progressionMostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, et al.
IEEE Access : Practical Innovations, Open Solutions|January 31, 2024
Sleep-Energy: An Energy Optimization Method to Sleep Stage ScoringBruno Aristimunha, Alexandre Janoni Bayerlein, M Jorge Cardoso, et al.
Medical Image Analysis|January 26, 2019
Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modelingMostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, et al.
Pageof 59