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Ioannis Lavdas

Showing results (1-10 of 10) with videos related to

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Magma (New York, N.Y.)|August 5, 2011
Stripline resonator and preamplifier for preclinical magnetic resonance imaging at 4.7 TIoannis Lavdas, Hugh C Seton, Charles R Harrington, et al.
Journal of Magnetic Resonance Imaging : JMRI|June 14, 2014
Comparison between diffusion-weighted MRI (DW-MRI) at 1.5 and 3 tesla: a phantom studyIoannis Lavdas, Marc E Miquel, Donald W McRobbie, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 12, 2013
A phantom for diffusion-weighted MRI (DW-MRI)Ioannis Lavdas, Kevin C Behan, Annie Papadaki, et al.
Journal of Materials Chemistry. B|April 9, 2020
RGD-targeted MnO nanoparticles as T<sub>1</sub> contrast agents for cancer imaging - the effect of PEG length in vivoJuan Gallo, Israt S Alam, Ioannis Lavdas, et al.
IEEE Transactions on Medical Imaging|April 25, 2017
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground TruthVanya V Valindria, Ioannis Lavdas, Wenjia Bai, et al.
Angewandte Chemie (International Ed. in English)|July 22, 2014
CXCR4-targeted and MMP-responsive iron oxide nanoparticles for enhanced magnetic resonance imagingJuan Gallo, Nazila Kamaly, Ioannis Lavdas, et al.
AJR. American Journal of Roentgenology|July 24, 2015
Apparent Diffusion Coefficient of Normal Abdominal Organs and Bone Marrow From Whole-Body DWI at 1.5 T: The Effect of Sex and AgeIoannis Lavdas, Andrea G Rockall, Federica Castelli, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|June 5, 2013
Temporal and spatial evolution of therapy-induced tumor apoptosis detected by caspase-3-selective molecular imagingQuang-Dé Nguyen, Ioannis Lavdas, James Gubbins, et al.
Medical Physics|July 31, 2017
Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi-atlas (MA) approachIoannis Lavdas, Ben Glocker, Konstantinos Kamnitsas, et al.
Investigative Radiology|June 26, 2023
Development and Evaluation of Machine Learning in Whole-Body Magnetic Resonance Imaging for Detecting Metastases in Patients With Lung or Colon Cancer: A Diagnostic Test Accuracy StudyAndrea G Rockall, Xingfeng Li, Nicholas Johnson, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Magma (New York, N.Y.)|August 5, 2011
Stripline resonator and preamplifier for preclinical magnetic resonance imaging at 4.7 TIoannis Lavdas, Hugh C Seton, Charles R Harrington, et al.
Journal of Magnetic Resonance Imaging : JMRI|June 14, 2014
Comparison between diffusion-weighted MRI (DW-MRI) at 1.5 and 3 tesla: a phantom studyIoannis Lavdas, Marc E Miquel, Donald W McRobbie, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 12, 2013
A phantom for diffusion-weighted MRI (DW-MRI)Ioannis Lavdas, Kevin C Behan, Annie Papadaki, et al.
Journal of Materials Chemistry. B|April 9, 2020
RGD-targeted MnO nanoparticles as T<sub>1</sub> contrast agents for cancer imaging - the effect of PEG length in vivoJuan Gallo, Israt S Alam, Ioannis Lavdas, et al.
IEEE Transactions on Medical Imaging|April 25, 2017
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground TruthVanya V Valindria, Ioannis Lavdas, Wenjia Bai, et al.
Angewandte Chemie (International Ed. in English)|July 22, 2014
CXCR4-targeted and MMP-responsive iron oxide nanoparticles for enhanced magnetic resonance imagingJuan Gallo, Nazila Kamaly, Ioannis Lavdas, et al.
AJR. American Journal of Roentgenology|July 24, 2015
Apparent Diffusion Coefficient of Normal Abdominal Organs and Bone Marrow From Whole-Body DWI at 1.5 T: The Effect of Sex and AgeIoannis Lavdas, Andrea G Rockall, Federica Castelli, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|June 5, 2013
Temporal and spatial evolution of therapy-induced tumor apoptosis detected by caspase-3-selective molecular imagingQuang-Dé Nguyen, Ioannis Lavdas, James Gubbins, et al.
Medical Physics|July 31, 2017
Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi-atlas (MA) approachIoannis Lavdas, Ben Glocker, Konstantinos Kamnitsas, et al.
Investigative Radiology|June 26, 2023
Development and Evaluation of Machine Learning in Whole-Body Magnetic Resonance Imaging for Detecting Metastases in Patients With Lung or Colon Cancer: A Diagnostic Test Accuracy StudyAndrea G Rockall, Xingfeng Li, Nicholas Johnson, et al.
Pageof 1