Andriy Myronenko

National Technical University "Kharkiv Polytechnic Institute"

MedicineComputer ScienceNeuroscience

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 9 papers. Top paper: “Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets”.

Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets

Nature Communications(2020)10.1038/s41467-020-17971-2

N/A

0.958DataRank · unranked

593 citations

Thomas Sanford, Sheng Xu, Evrim Türkbey, Holger R. Roth, Ziyue Xu +34 more

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation

IEEE Transactions on Medical Imaging(2020)10.1109/tmi.2020.2973595

N/A

0DataRank · unranked

533 citations

Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Barış Türkbey +6 more

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan

Medical Image Analysis(2021)10.1016/j.media.2021.101992

N/A

0DataRank · unranked

267 citations

Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie Harmon +15 more

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results

arXiv (Cornell University)(2021)10.48550/arxiv.2112.10074

N/A

0DataRank · unranked

7 citations

Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen +87 more

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results

The Journal of Machine Learning for Biomedical Imaging(2022)10.59275/j.melba.2022-354b

N/A

0DataRank · unranked

53 citations

Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen +87 more

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results

IEEE Transactions on Medical Imaging(2024)10.1109/tmi.2024.3485554

N/A

0DataRank · unranked

19 citations

Céline Steger, Roxane Licandro, Priscille De Dumast, Hongwei Li, Matthew J. Barkovich +62 more

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge

arXiv (Cornell University)(2024)10.48550/arxiv.2403.19425

N/A

0DataRank · unranked

8 citations

Mauricio Reyes, Sook‐Lei Liew, A. Hutton, Roland Wiest, Johannes Kaesmacher +53 more

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results

White Rose Research Online (University of Leeds, The University of Sheffield, University of York)(2024)10.48550/arxiv.2402.09463

N/A

0DataRank · unranked

0 citations

Céline Steger, Roxane Licandro, Priscille de Dumast, Hongwei Li, Matthew J. Barkovich +62 more

DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge

Nature Communications(2025)10.1038/s41467-025-62373-x

N/A

0DataRank · unranked

15 citations

Mauricio Reyes, Sook‐Lei Liew, A. Hutton, Roland Wiest, Johannes Kaesmacher +54 more