Hayit Greenspan

Also affiliated with Icahn School of Medicine at Mount Sinai

Computer ScienceMedicine

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 10 papers. Top paper: “Quantitative prediction of right ventricular and size and function from the electrocardiogram”.

Quantitative prediction of right ventricular and size and function from the electrocardiogram

medRxiv(2023)10.1101/2023.04.25.23289130

N/A

0.165DataRank · unranked

2 citations

Akhil Vaid, Ha My T. Vy, Liam R. Butler, Joshua Lampert, Robert H. Pass +8 more

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

Proceedings of the IEEE(2021)10.1109/jproc.2021.3054390

N/A

0DataRank · unranked

1028 citations

Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi +4 more

A foundational vision transformer improves diagnostic performance for electrocardiograms

npj Digital Medicine(2023)10.1038/s41746-023-00840-9

N/A

0DataRank · unranked

105 citations

Joy Jiang, Ashwin Sawant, Stamatios Lerakis, Edgar Argulian, Yuri Ahuja +7 more

Quantitative Prediction of Right Ventricular Size and Function From the ECG

Journal of the American Heart Association(2023)10.1161/jaha.123.031671

N/A

0DataRank · unranked

16 citations

Akhil Vaid, Ha My T. Vy, Liam R. Butler, Joshua Lampert, Robert H. Pass +9 more

Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing

BJR|Artificial Intelligence(2024)10.1093/bjrai/ubae003

N/A

0DataRank · unranked

38 citations

Amita Shukla‐Dave, Heang‐Ping Chan, Karen Drukker, Ravi K. Samala, Quan Chen +20 more

A review of self‐supervised, generative, and few‐shot deep learning methods for data‐limited magnetic resonance imaging segmentation

NMR in Biomedicine(2024)10.1002/nbm.5143

N/A

0DataRank · unranked

36 citations

Komal Kainth, Alexander Zhou, Timothy Deyer, Zahi A. Fayad, Hayit Greenspan +2 more

AI and machine learning in medical imaging: key points from development to translation

BJR|Artificial Intelligence(2024)10.1093/bjrai/ubae006

N/A

0DataRank · unranked

26 citations

Karen Drukker, Amita Shukla‐Dave, Heang‐Ping Chan, Berkman Sahiner, Nicholas Petrick +19 more

BrainAgeNeXt: Advancing Brain Age Modeling for Individuals with Multiple Sclerosis

medRxiv(2024)10.1101/2024.08.10.24311686

N/A

0DataRank · unranked

2 citations

Jonadab dos Santos Silva, Emma Dereskewicz, Azzurra Invernizzi, Noa Cahan, Julia Galasso +12 more

Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis

Scientific Reports(2020)10.1038/s41598-020-64803-w

N/A

0DataRank · unranked

188 citations

Snehashis Roy, Adrian Gherman, Jacob C. Reinhold, Andrew Jesson, Tal Arbel +14 more

BrainAgeNeXt: Advancing brain age modeling for individuals with multiple sclerosis

Imaging Neuroscience(2025)10.1162/imag_a_00487

N/A

0DataRank · unranked

6 citations

Jonadab dos Santos Silva, Emma Dereskewicz, Azzurra Invernizzi, Noa Cahan, Julia Galasso +12 more