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

Ioannis Sechopoulos

Radboud University Nijmegen

ORCID: 0000-0001-9615-8205

Also affiliated with Radboud University Medical Center, Dutch Expert Centre for Screening, University of Twente

MedicineEngineeringComputer 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 1%percentile
5.6Author DataRank

Indexed papers

2in 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 2 indexed papers 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 →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Report on G4‐Med, a Geant4 benchmarking system for medical physics applications developed by the Geant4 Medical Simulation Benchmarking Group

Medical Physics(2020)10.1002/mp.14226
Top 5%
4.8DataRank
Top 5%181 citations

David Bolst, M.‐C. Bordage, Jeremy M. C. Brown, P. Cirrone, M. A. Cortés‐Giraldo +35 more

Papers

Driven by 11 papers — median percentile 85. Top paper: “Report on G4‐Med, a Geant4 benchmarking system for medical physics applications developed by the Geant4 Medical Simulation Benchmarking Group”.

Report on G4‐Med, a Geant4 benchmarking system for medical physics applications developed by the Geant4 Medical Simulation Benchmarking Group

Medical Physics(2020)10.1002/mp.14226
Top 5%
4.8DataRank
Top 5%181 citations

David Bolst, M.‐C. Bordage, Jeremy M. C. Brown, P. Cirrone, M. A. Cortés‐Giraldo +35 more

Fibroglandular tissue distribution in the breast during mammography and tomosynthesis based on breast CT data: A patient‐based characterization of the breast parenchyma

Medical Physics(2021)10.1002/mp.14716
Top 25%
0.814DataRank
Top 25%20 citations

Marco Caballo, Eloy García, Oliver Díaz, John M. Boone, David R. Dance +2 more

Multi‐marker quantitative radiomics for mass characterization in dedicated breast CT imaging

Medical Physics(2020)10.1002/mp.14610
N/A
0DataRank · unranked
19 citations

Domenico R. Pangallo, Wendelien B. G. Sanderink, Andrew M. Hernandez, Su Hyun Lyu, Filippo Molinari +4 more

Measurement of the useful field of view for single slices of different imaging modalities and targets

Journal of Medical Imaging(2020)10.1117/1.jmi.7.2.022411
N/A
0DataRank · unranked
20 citations

Ioannis Sechopoulos, François Bochud, Miguel P. Eckstein, Miguel A. Lago

Iodine quantification in limited angle tomography

Medical Physics(2020)10.1002/mp.14400
N/A
0DataRank · unranked
1 citations

Alejandro Rodríguez‐Ruiz, Ingrid Reiser, James G Nagy, Ioannis Sechopoulos, Koen Michielsen

Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence

Computers in Biology and Medicine(2020)10.1016/j.compbiomed.2020.103629
N/A
0DataRank · unranked
73 citations

Domenico R. Pangallo, Ritse M. Mann, Ioannis Sechopoulos, Marco Caballo

Computer-aided diagnosis of masses in breast computed tomography imaging: deep learning model with combined handcrafted and convolutional radiomic features

Journal of Medical Imaging(2021)10.1117/1.jmi.8.2.024501
N/A
0DataRank · unranked
13 citations

Andrew M. Hernandez, Su Hyun Lyu, Jonas Teuwen, Ritse M. Mann, Bram van Ginneken +3 more

Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation

Medical Image Analysis(2021)10.1016/j.media.2021.102061
N/A
0DataRank · unranked
6 citations

Nikita Moriakov, Christian Fedon, Marco Caballo, Ingrid Reiser, Pedrag Bakic +5 more

Patient‐derived heterogeneous breast phantoms for advanced dosimetry in mammography and tomosynthesis

Medical Physics(2022)10.1002/mp.15785
N/A
0DataRank · unranked
24 citations

Carolina Rabin, Christian Fedon, Alejandro Rodríguez‐Ruiz, Oliver Díaz, John M. Boone +3 more

Radiomics in cone-beam breast CT for the prediction of axillary lymph node metastasis in breast cancer: a multi-center multi-device study

European Radiology(2023)10.1007/s00330-023-10256-4
N/A
0DataRank · unranked
19 citations

Yue Ma, Zhen-zhen Zhai, Aidi Liu, Yafei Wang, Yuwei Zhang +10 more

Lesion detection in digital breast tomosynthesis: human reader experiments indicate no benefit from the integration of information from multiple planes

Journal of Medical Imaging(2023)10.1117/1.jmi.10.s1.s11915
N/A
0DataRank · unranked
0 citations

Ingrid Reiser, Mireille J. M. Broeders, Wouter J. H. Veldkamp, Ruben E. van Engen, Ioannis Sechopoulos +1 more