Marina Codari

Marina Codari

Stanford University

H-index: 25

North America-United States

About Marina Codari

Marina Codari, With an exceptional h-index of 25 and a recent h-index of 23 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Medical imaging.

His recent articles reflect a diverse array of research interests and contributions to the field:

Denoising Multiphase Functional Cardiac CT Angiography Using Deep Learning and Synthetic Data

Reduced Pulmonary Artery Distensibility Predicts Persistent Pulmonary Hypertension and 2-Year Mortality in Patients with Severe Aortic Stenosis Undergoing TAVR

Detection and quantification of breast arterial calcifications on mammograms: a deep learning approach

Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations

Inter-observer variability of expert-derived morphologic risk predictors in aortic dissection

Registry of Aortic Diseases to Model Adverse Events and Progression (ROADMAP) in uncomplicated type B aortic dissection: study design and rationale

Artificial intelligence applications in aortic dissection imaging

Adults with tetralogy of Fallot show specific features of cerebral small vessel disease: the BACH San Donato study

Marina Codari Information

University

Position

Radiology

Citations(all)

3239

Citations(since 2020)

3034

Cited By

1019

hIndex(all)

25

hIndex(since 2020)

23

i10Index(all)

49

i10Index(since 2020)

43

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Marina Codari Skills & Research Interests

Medical imaging

Top articles of Marina Codari

Title

Journal

Author(s)

Publication Date

Denoising Multiphase Functional Cardiac CT Angiography Using Deep Learning and Synthetic Data

Radiology: Artificial Intelligence

Veit Sandfort

Martin J Willemink

Marina Codari

Domenico Mastrodicasa

Dominik Fleischmann

2024/2/28

Reduced Pulmonary Artery Distensibility Predicts Persistent Pulmonary Hypertension and 2-Year Mortality in Patients with Severe Aortic Stenosis Undergoing TAVR

Academic Radiology

Valery Turner

Eva Maret

Juyong B Kim

Marina Codari

Virginia Hinostroza

...

2023/12/1

Detection and quantification of breast arterial calcifications on mammograms: a deep learning approach

European Radiology

Nazanin Mobini

Marina Codari

Francesca Riva

Maria Giovanna Ienco

Davide Capra

...

2023/10

Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations

Computers in Biology and Medicine

Antonio Pepe

Jan Egger

Marina Codari

Martin J Willemink

Christina Gsaxner

...

2023/10/1

Inter-observer variability of expert-derived morphologic risk predictors in aortic dissection

European radiology

Martin J Willemink

Domenico Mastrodicasa

Mohammad H Madani

Marina Codari

Leonid L Chepelev

...

2023/2

Registry of Aortic Diseases to Model Adverse Events and Progression (ROADMAP) in uncomplicated type B aortic dissection: study design and rationale

Radiology: Cardiothoracic Imaging

Domenico Mastrodicasa

Martin J Willemink

Valery L Turner

Virginia Hinostroza

Marina Codari

...

2022/12/22

Artificial intelligence applications in aortic dissection imaging

Seminars in roentgenology

Domenico Mastrodicasa

Marina Codari

Kathrin Bäumler

Veit Sandfort

Jody Shen

...

2022/10/1

Adults with tetralogy of Fallot show specific features of cerebral small vessel disease: the BACH San Donato study

Brain Imaging and Behavior

Luca Melazzini

Filippo Savoldi

Massimo Chessa

Paolo Vitali

Moreno Zanardo

...

2022/8

Artificial Intelligence-Based Evaluation of the Aorta

Domenico Mastrodicasa

Marina Codari

Valery L Turner

Virginia Hinostroza

Kathrin Bäumler

...

2022/4/22

Artificial Intelligence-Based Quantification of Cardiac Fat

Caterina B Monti

Davide Capra

Francesco Secchi

Marina Codari

Francesco Sardanelli

2022/4/22

Emerging methods for the characterization of ischemic heart disease: ultrafast Doppler angiography, micro-CT, photon-counting CT, novel MRI and PET techniques, and artificial …

Martin J Willemink

Akos Varga-Szemes

U Joseph Schoepf

Marina Codari

Koen Nieman

...

2021/12

Shading Style Assessment for Vessel Wall and Lumen Visualization.

Kai Ostendorf

Domenico Mastrodicasa

Kathrin Bäumler

Marina Codari

Valery Turner

...

2021

Machine learning to predict in-hospital mortality in covid-19 patients using computed tomography-derived pulmonary and vascular features

Journal of Personalized Medicine

Simone Schiaffino

Marina Codari

Andrea Cozzi

Domenico Albano

Marco Ali

...

2021/6/3

Deep learning-based 3D segmentation of true lumen, false lumen, and false lumen thrombosis in type-B aortic dissection

Liana D Wobben

Marina Codari

Gabriel Mistelbauer

Antonio Pepe

Kai Higashigaito

...

2021/11/1

White matter hyperintensities classified according to intensity and spatial location reveal specific associations with cognitive performance

NeuroImage: Clinical

Luca Melazzini

Clare E Mackay

Valentina Bordin

Sana Suri

Enikő Zsoldos

...

2021/1/1

White matter hyperintensities quantification in healthy adults: A systematic review and meta‐analysis

Luca Melazzini

Paolo Vitali

Emanuele Olivieri

Marco Bolchini

Moreno Zanardo

...

2021/6

Increasing diversity in radiology and molecular imaging: current challenges

Brett Z Fite

Virginia Hinostroza

Lisa States

Alexandria Hicks-Nelson

Lucia Baratto

...

2021/10

Semiquantitative score of breast arterial calcifications on mammography (BAC-SS): intra-and inter-reader reproducibility

Quantitative Imaging in Medicine and Surgery

Rubina Manuela Trimboli

Marina Codari

Andrea Cozzi

Caterina Beatrice Monti

Davide Capra

...

2021/5

CTA pulmonary artery enlargement in patients with severe aortic stenosis: Prognostic impact after TAVR

Journal of Cardiovascular Computed Tomography

Valery L Turner

Ayman Jubran

Juyong Brian Kim

Eva Maret

Kegan J Moneghetti

...

2021/9/1

AI applications to medical images: From machine learning to deep learning

Isabella Castiglioni

Leonardo Rundo

Marina Codari

Giovanni Di Leo

Christian Salvatore

...

2021/3/1

See List of Professors in Marina Codari University(Stanford University)

Co-Authors

H-index: 78
Chiarella Sforza

Chiarella Sforza

Università degli Studi di Milano

H-index: 67
Francesco Sardanelli

Francesco Sardanelli

Università degli Studi di Milano

H-index: 55
Carlo N. De Cecco, MD, PhD

Carlo N. De Cecco, MD, PhD

Emory University

H-index: 51
Giuseppe Baselli

Giuseppe Baselli

Politecnico di Milano

H-index: 32
Francesco Maffessanti

Francesco Maffessanti

University of Chicago

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