🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Marianna Fontana

Amyloidosis Foundation

ORCID: 0000-0002-9233-9831
MedicineBiochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 11 papers. Top paper: “Automated detection of left ventricle in arterial input function images for inline perfusion mapping using deep learning: A study of 15,000 patients”.

Automated detection of left ventricle in arterial input function images for inline perfusion mapping using deep learning: A study of 15,000 patients

Magnetic Resonance in Medicine(2020)10.1002/mrm.28291
N/A
0DataRank · unranked
29 citations

Ethan Tseng, Kristopher Knott, Tushar Kotecha, Louise Brown, Sven Plein +4 more

Quantitative cardiovascular magnetic resonance myocardial perfusion mapping to assess hyperaemic response to adenosine stress

European Heart Journal - Cardiovascular Imaging(2020)10.1093/ehjci/jeaa252
N/A
0DataRank · unranked
25 citations

Juan Manuel Monteagudo Ruiz, Ana Martinez–Naharro, Liza Chacko, James Brown, Daniel Knight +11 more

Diagnosis and treatment of cardiac amyloidosis: a position statement of the ESC Working Group on Myocardial and Pericardial Diseases

European Heart Journal(2021)10.1093/eurheartj/ehab072
N/A
0DataRank · unranked
1164 citations

Claudio Rapezzi, Yehuda Adler, Michael Arad, Cristina Basso, Antonio Brucato +19 more

Landmark Detection in Cardiac MRI by Using a Convolutional Neural Network

Radiology Artificial Intelligence(2021)10.1148/ryai.2021200197
N/A
0DataRank · unranked
55 citations

Jessica Artico, Marianna Fontana, James Moon, Rhodri Davies, Peter Kellman +1 more

Prognostic Value of Pulmonary Transit Time and Pulmonary Blood Volume Estimation Using Myocardial Perfusion CMR

JACC. Cardiovascular imaging(2021)10.1016/j.jcmg.2021.03.029
N/A
0DataRank · unranked
45 citations

Kristopher Knott, Katia Menacho, João B. Augusto, Rhodri Davies, Iain Pierce +12 more

Bright-blood and dark-blood phase sensitive inversion recovery late gadolinium enhancement and T1 and T2 maps in a single free-breathing scan: an all-in-one approach

Journal of Cardiovascular Magnetic Resonance(2021)10.1186/s12968-021-00823-3
N/A
0DataRank · unranked
27 citations

Hui Xue, Kelvin Chow, James P. Howard, Liza Chacko, Graham D. Cole +2 more

Long COVID and the cardiovascular system—elucidating causes and cellular mechanisms in order to develop targeted diagnostic and therapeutic strategies: a joint Scientific Statement of the ESC Working Groups on Cellular Biology of the Heart and Myocardial and Pericardial Diseases

Cardiovascular Research(2022)10.1093/cvr/cvac115
N/A
0DataRank · unranked
169 citations

Pilar Alcaide, Folkert W. Asselbergs, Na Li, Giovanni G. Camici, Paula A. da Costa Martins +19 more

Precision measurement of cardiac structure and function in cardiovascular magnetic resonance using machine learning

Journal of Cardiovascular Magnetic Resonance(2022)10.1186/s12968-022-00846-4
N/A
0DataRank · unranked
90 citations

João B. Augusto, Anish Bhuva, Hui Xue, Thomas A. Treibel, Yang Ye +19 more

Society for Cardiovascular Magnetic Resonance (SCMR) guidelines for reporting cardiovascular magnetic resonance examinations

Journal of Cardiovascular Magnetic Resonance(2022)10.1186/s12968-021-00827-z
N/A
0DataRank · unranked
88 citations

David A. Bluemke, Jan Bogaert, Scott D. Flamm, Marianna Fontana, Matthias G. Friedrich +13 more

Quantitative Myocardial Perfusion Predicts Outcomes in Patients With Prior Surgical Revascularization

Journal of the American College of Cardiology(2022)10.1016/j.jacc.2021.12.037
N/A
0DataRank · unranked
29 citations

Benjamin Dowsing, Krishnaraj S. Rathod, Hunain Shiwani, Kush Patel, Kristopher Knott +14 more

Electrocardiogram-based deep learning enables scalable screening of transthyretin amyloid cardiomyopathy

medRxiv(2024)10.1101/2024.09.30.24314651
N/A
0DataRank · unranked
4 citations

Evangelos K. Oikonomou, Rohan Khera, Ryan B. Choi, Sumukh V. Shankar, Robert M.A. van der Boon +21 more