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

Maciej A. Mazurowski

Duke University

ORCID: 0000-0003-4202-8602
MedicineComputer Science

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

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Papers

Driven by 11 papers. Top paper: “Effects of MRI scanner parameters on breast cancer radiomics”.

Effects of MRI scanner parameters on breast cancer radiomics

Expert Systems with Applications(2017)10.1016/j.eswa.2017.06.029
N/A
0.650DataRank · unranked
75 citations

Xiaozhi Yu, Dushyant Sahoo, Maciej A. Mazurowski, Ashirbani Saha

MRI-based Deep Learning Assessment of Amyloid, Tau, and Neurodegeneration Biomarker Status across the Alzheimer Disease Spectrum

Radiology(2023)10.1148/radiol.222441
N/A
0.510DataRank · unranked
29 citations

Longfei Zhou, Maciej A. Mazurowski, P. Murali Doraiswamy, Jeffrey R. Petrella, for the Alzheimer's Disease Neuroimaging Initiative +1 more

Segment anything model for medical image analysis: An experimental study

Medical Image Analysis(2023)10.1016/j.media.2023.102918
N/A
0DataRank · unranked
710 citations

Haoyu Dong, Hanxue Gu, Jichen Yang, Nicholas Konz, Yixin Zhang +1 more

Convolutional neural networks rarely learn shape for semantic segmentation

Pattern Recognition(2023)10.1016/j.patcog.2023.110018
N/A
0DataRank · unranked
21 citations

Maciej A. Mazurowski, Yixin Zhang

Prediction of Upstaging in Ductal Carcinoma in Situ Based on Mammographic Radiomic Features

Radiology(2022)10.1148/radiol.210407
N/A
0DataRank · unranked
42 citations

Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine King, Carlo C. Maley +10 more

Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion

Medical Image Analysis(2023)10.1016/j.media.2023.102836
N/A
0DataRank · unranked
5 citations

Haoyu Dong, Maciej A. Mazurowski, Nicholas Konz

A systematic study of the foreground-background imbalance problem in deep learning for object detection

arXiv (Cornell University)(2023)10.48550/arxiv.2306.16539
N/A
0DataRank · unranked
0 citations

Haoyu Dong, Nicholas Konz, Maciej A. Mazurowski, Hanxue Gu

How to select slices for annotation to train best-performing deep learning segmentation models for cross-sectional medical images?

arXiv (Cornell University)(2024)10.48550/arxiv.2412.08081
N/A
0DataRank · unranked
0 citations

Kevin Kramer, Maciej A. Mazurowski, Yixin Zhang

GuidedMorph: Two-Stage Deformable Registration for Breast MRI

IEEE Journal of Biomedical and Health Informatics(2025)10.1109/jbhi.2025.3647349
N/A
0DataRank · unranked
0 citations

Hanxue Gu, Haoyu Dong, Qihang Li, Yu‐Wen Chen, Nicholas Konz +3 more

SWSSL: Sliding Window-Based Self-Supervised Learning for Anomaly Detection in High-Resolution Images

IEEE Transactions on Medical Imaging(2023)10.1109/tmi.2023.3314318
N/A
0DataRank · unranked
17 citations

Yifan Zhang, Hanxue Gu, Nicholas Konz, Yixin Zhang, Maciej A. Mazurowski +1 more

Quality or Quantity: Toward a Unified Approach for Multi-organ Segmentation in Body CT

arXiv (Cornell University)(2022)10.48550/arxiv.2203.01934
N/A
0DataRank · unranked
0 citations

Husam Nujaim, Wanyi Fu, Ehsan Abadi, Maciej A. Mazurowski, Ehsan Samei +3 more