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

Ming Chen

Changhua Christian Hospital

ORCID: 0000-0001-5076-2917
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 11 papers. Top paper: “Deep Multimodal Learning From MRI and Clinical Data for Early Prediction of Neurodevelopmental Deficits in Very Preterm Infants”.

Deep Multimodal Learning From MRI and Clinical Data for Early Prediction of Neurodevelopmental Deficits in Very Preterm Infants

Frontiers in Neuroscience(2021)10.3389/fnins.2021.753033
N/A
0.581DataRank · unranked
47 citations

Hailong Li, Ming Chen, Jinghua Wang, Mekibib Altaye, Jonathan R. Dillman +2 more

ConCeptCNN: A novel multi‐filter convolutional neural network for the prediction of neurodevelopmental disorders using brain connectome

Medical Physics(2022)10.1002/mp.15545
N/A
0.520DataRank · unranked
31 citations

Hailong Li, Howard Fan, Jonathan R. Dillman, Hui Wang, Mekibib Altaye +4 more

Multi-locus sequence typing and phylogenetics of Cryptococcus neoformans AD hybrids

Fungal Genetics and Biology(2023)10.1016/j.fgb.2023.103861
N/A
0.269DataRank · unranked
5 citations

P.E. Chidebelu, Michael J. M. Hitchcock, Ming Chen, Volker Rickerts, Sandra Ackermann +13 more

Whole Exome Sequencing Analyses Support a Role of Vitamin D Metabolism in Ischemic Stroke

medRxiv(2022)10.1101/2022.05.31.22275825
N/A
0.104DataRank · unranked
1 citations

Julián Acosta, Yixuan Ye, Zachariah S. Demarais, Carolyn Conlon, Ming Chen +3 more

Whole-Exome Sequencing Analyses Support a Role of Vitamin D Metabolism in Ischemic Stroke

Stroke(2023)10.1161/strokeaha.122.040883
N/A
0DataRank · unranked
9 citations

Julián Acosta, Yixuan Ye, Zachariah S. Demarais, Carolyn Conlon, Ming Chen +3 more

8568 Prevalence of Raised Blood Pressure in Individuals With 46,XY DSD: an I-DSD Registry study

Journal of the Endocrine Society(2024)10.1210/jendso/bvae163.1743
N/A
0DataRank · unranked
2 citations

Jilian Bryce, Ming Chen, Chamidri Naotunna, Margherita Sepich, L. Tack +26 more

A multi-task, multi-stage deep transfer learning model for early prediction of neurodevelopment in very preterm infants

Scientific Reports(2020)10.1038/s41598-020-71914-x
N/A
0DataRank · unranked
69 citations

Hailong Li, Jinghua Wang, Ming Chen, Elveda Gozdas, Jonathan R. Dillman +2 more

8568 Prevalence of Raised Blood Pressure in Individuals With 46,XY DSD: an I-DSD Registry study

Journal of the Endocrine Society(2024)10.1210/jendso/bvae163.1656
N/A
0DataRank · unranked
0 citations

Jillian Bryce, Ming Chen, Chamidri Naotunna, Margherita Sepich, L. Tack +26 more

Newborn Screening Protocols and Positive Predictive Value for Congenital Adrenal Hyperplasia Vary across the United States

International Journal of Neonatal Screening(2020)10.3390/ijns6020037
N/A
0DataRank · unranked
34 citations

Reeti Chawla, Ming Chen, Alicia Diaz-Thomas, Courtney Finlayson, Meilan M. Rutter +7 more

Early Prediction of Cognitive Deficit in Very Preterm Infants Using Brain Structural Connectome With Transfer Learning Enhanced Deep Convolutional Neural Networks

Frontiers in Neuroscience(2020)10.3389/fnins.2020.00858
N/A
0DataRank · unranked
31 citations

Hailong Li, Jinghua Wang, Weihong Yuan, Mekbib Altaye, Nehal A. Parikh +2 more

Automatic Segmentation of Diffuse White Matter Abnormality on T2-weighted Brain MR Images Using Deep Learning in Very Preterm Infants

Radiology Artificial Intelligence(2021)10.1148/ryai.2021200166
N/A
0DataRank · unranked
13 citations

Ming Chen, Jinghua Wang, Venkata Sita Priyanka Illapani, Nehal A. Parikh, Lili He +1 more