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

Hiroyuki Abé

Wisdom Health (United States)

ORCID: 0000-0002-3568-1462
Physics and AstronomyMedicine

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: “Effect of Longitudinal Variation in Tumor Volume Estimation for MRI-guided Personalization of Breast Cancer Neoadjuvant Treatment”.

Effect of Longitudinal Variation in Tumor Volume Estimation for MRI-guided Personalization of Breast Cancer Neoadjuvant Treatment

Radiology Imaging Cancer(2023)10.1148/rycan.220126
N/A
0.373DataRank · unranked
8 citations

Teffany Joy Bareng, Jessica Gibbs, Wen Li, Elissa R. Price, Bonnie N. Joe +93 more

Discrimination of benign from malignant breast lesions in dense breasts with model-based analysis of regions-of-interest using directional diffusion-weighted images

BMC Medical Imaging(2020)10.1186/s12880-020-00458-3
N/A
0DataRank · unranked
7 citations

Milica Medved, Vandana Dialani, Etta D. Pisano, Elodia B. Cole, David C. Brousseau +5 more

Breast MRI during Neoadjuvant Chemotherapy: Lack of Background Parenchymal Enhancement Suppression and Inferior Treatment Response

Radiology(2021)10.1148/radiol.2021203645
N/A
0DataRank · unranked
37 citations

Wen Li, David C. Newitt, Roy Harnish, Fredrik Strand, Alex Nguyen +56 more

Differences Between Ipsilateral and Contralateral Early Parenchymal Enhancement Kinetics Predict Response of Breast Cancer to Neoadjuvant Therapy

Academic Radiology(2022)10.1016/j.acra.2022.02.008
N/A
0DataRank · unranked
9 citations

Federico Pineda, Frederick M. Howard, Elle Hill, Teodora Szasz, Rabia Safi +6 more

External Evaluation of a Mammography-based Deep Learning Model for Predicting Breast Cancer in an Ethnically Diverse Population

Radiology Artificial Intelligence(2023)10.1148/ryai.220299
N/A
0DataRank · unranked
24 citations

Anna Woodard, Frederick M. Howard, Fangyuan Zhao, Toshio F. Yoshimatsu, Yonglan Zheng +9 more

Bilateral asymmetry of quantitative parenchymal kinetics at ultrafast DCE-MRI predict response to neoadjuvant chemotherapy in patients with HER2+ breast cancer

Magnetic Resonance Imaging(2023)10.1016/j.mri.2023.08.003
N/A
0DataRank · unranked
8 citations

Federico Pineda, Frederick M. Howard, Xiaobing Fan, Rita Nanda, Hiroyuki Abé +3 more

Role of sureness in evaluating AI/CADx: Lesion‐based repeatability of machine learning classification performance on breast MRI

Medical Physics(2023)10.1002/mp.16673
N/A
0DataRank · unranked
4 citations

Karen Drukker, Michael Vieceli, Amy Van Dusen, Michelle de Oliveira, Hiroyuki Abé +2 more

Standardization of Breast Dynamic Contrast-enhanced MRI Signal withApplication to the Assessment of Background Parenchymal Enhancement Rate

Current Medical Imaging Formerly Current Medical Imaging Reviews(2023)10.2174/1573405619666230306105820
N/A
0DataRank · unranked
0 citations

Keiko Tsuchiya, Xiaobing Fan, Gregory S. Karczmar, Hiroyuki Abé, Milica Medved

Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the I-SPY 2 TRIAL

npj Breast Cancer(2020)10.1038/s41523-020-00203-7
N/A
0DataRank · unranked
83 citations

David C. Newitt, Jessica Gibbs, Lisa J. Wilmes, Ella F. Jones, Vignesh A. Arasu +57 more

Computerized assessment of background parenchymal enhancement on breast dynamic contrast-enhanced-MRI including electronic lesion removal

Journal of Medical Imaging(2024)10.1117/1.jmi.11.3.034501
N/A
0DataRank · unranked
0 citations

Jordan Fuhrman, Qiyuan Hu, Alexandra Edwards, Deepa Sheth, Hiroyuki Abé +2 more