Parastou Eslami

Medicine

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 5 papers. Top paper: “Deep convolutional neural networks to predict cardiovascular risk from computed tomography”.

Deep convolutional neural networks to predict cardiovascular risk from computed tomography

Nature Communications(2021)10.1038/s41467-021-20966-2

N/A

7.8DataRank · unranked

235 citations

Borek Foldyna, Parastou Eslami, Jakob Weiß, Alexander Ivanov, Jana Taron +18 more

Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer

npj Digital Medicine(2021)10.1038/s41746-021-00416-5

N/A

0.510DataRank · unranked

29 citations

Jakob Weiß, Jana Taron, Christian V. Guthier, Danielle S. Bitterman, Cindy Hancox +11 more

Associations of Muscle Density and Area With Coronary Artery Plaque and Physical Function

JAIDS Journal of Acquired Immune Deficiency Syndromes(2023)10.1097/qai.0000000000003244

N/A

0.313DataRank · unranked

5 citations

Triin Umbleja, Michael T. Lu, Jana Taron, Heather J. Ribaudo, Edgar T. Overton +17 more

Deep neural networks detect regional wall motion abnormalities and preclinical cardiovascular disease from 12-lead ECGs

medRxiv(2024)10.1101/2024.05.31.24308304

N/A

0.104DataRank · unranked

1 citations

Parastou Eslami, Jonathan W. Waks, Laurent Fiorina, Ashish Chaudhari, Christine Henry +7 more

Small whole heart volume predicts cardiovascular events in patients with stable chest pain: insights from the PROMISE trial

European Radiology(2021)10.1007/s00330-021-07695-2

N/A

0DataRank · unranked

6 citations

Roman Zeleznik, Parastou Eslami, Thomas Mayrhofer, Jan‐Erik Scholtz, Maros Ferencik +10 more