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Milena Cerny

Showing results (11-20 of 30) with videos related to

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Journal of Digital Imaging|March 21, 2020
Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network ApproachAhmad Maaref, Francisco Perdigon Romero, Emmanuel Montagnon, et al.
Insights Into Imaging|February 11, 2020
Deep learning workflow in radiology: a primerEmmanuel Montagnon, Milena Cerny, Alexandre Cadrin-Chênevert, et al.
Radiology. Artificial Intelligence|May 3, 2021
Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver MetastasesEugene Vorontsov, Milena Cerny, Philippe Régnier, et al.
Abdominal Radiology (New York)|January 3, 2021
MRI-based R2* mapping in patients with suspected or known iron overloadEmre Aslan, Jack W Luo, An Lesage, et al.
Abdominal Radiology (New York)|September 1, 2018
LI-RADS for CT diagnosis of hepatocellular carcinoma: performance of major and ancillary featuresAyman Alhasan, Milena Cerny, Damien Olivié, et al.
Radiology|April 11, 2018
LI-RADS for MR Imaging Diagnosis of Hepatocellular Carcinoma: Performance of Major and Ancillary FeaturesMilena Cerny, Catherine Bergeron, Jean-Sébastien Billiard, et al.
Insights Into Imaging|December 20, 2019
Assessment of hepatocellular carcinoma treatment response with LI-RADS: a pictorial reviewNicolas Voizard, Milena Cerny, Anis Assad, et al.
European Radiology|September 3, 2020
Intravoxel incoherent motion diffusion-weighted MRI for the characterization of inflammation in chronic liver diseaseThierry Lefebvre, Mélanie Hébert, Laurent Bilodeau, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|October 6, 2018
LI-RADS Version 2018 Ancillary Features at MRIMilena Cerny, Victoria Chernyak, Damien Olivié, et al.
Magnetic Resonance Imaging|June 28, 2019
Dynamic contrast-enhanced MRI to assess hepatocellular carcinoma response to Transarterial chemoembolization using LI-RADS criteria: A pilot studyAlana Thibodeau-Antonacci, Léonie Petitclerc, Guillaume Gilbert, et al.
Pageof 3

Showing results (11-20 of 30) with videos related to

Sort By:
Pageof 3
Journal of Digital Imaging|March 21, 2020
Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network ApproachAhmad Maaref, Francisco Perdigon Romero, Emmanuel Montagnon, et al.
Insights Into Imaging|February 11, 2020
Deep learning workflow in radiology: a primerEmmanuel Montagnon, Milena Cerny, Alexandre Cadrin-Chênevert, et al.
Radiology. Artificial Intelligence|May 3, 2021
Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver MetastasesEugene Vorontsov, Milena Cerny, Philippe Régnier, et al.
Abdominal Radiology (New York)|January 3, 2021
MRI-based R2* mapping in patients with suspected or known iron overloadEmre Aslan, Jack W Luo, An Lesage, et al.
Abdominal Radiology (New York)|September 1, 2018
LI-RADS for CT diagnosis of hepatocellular carcinoma: performance of major and ancillary featuresAyman Alhasan, Milena Cerny, Damien Olivié, et al.
Radiology|April 11, 2018
LI-RADS for MR Imaging Diagnosis of Hepatocellular Carcinoma: Performance of Major and Ancillary FeaturesMilena Cerny, Catherine Bergeron, Jean-Sébastien Billiard, et al.
Insights Into Imaging|December 20, 2019
Assessment of hepatocellular carcinoma treatment response with LI-RADS: a pictorial reviewNicolas Voizard, Milena Cerny, Anis Assad, et al.
European Radiology|September 3, 2020
Intravoxel incoherent motion diffusion-weighted MRI for the characterization of inflammation in chronic liver diseaseThierry Lefebvre, Mélanie Hébert, Laurent Bilodeau, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|October 6, 2018
LI-RADS Version 2018 Ancillary Features at MRIMilena Cerny, Victoria Chernyak, Damien Olivié, et al.
Magnetic Resonance Imaging|June 28, 2019
Dynamic contrast-enhanced MRI to assess hepatocellular carcinoma response to Transarterial chemoembolization using LI-RADS criteria: A pilot studyAlana Thibodeau-Antonacci, Léonie Petitclerc, Guillaume Gilbert, et al.
Pageof 3