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

Aikaterini Kotrotsou

The University of Texas MD Anderson Cancer Center

ORCID: 0000-0002-0433-7159
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 5%percentile
0.420Author 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 →

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.

MICCAI Brain Tumor Segmentation (BraTS) 2020 Benchmark: "Prediction of Survival and Pseudoprogression"

Zenodo (CERN European Organization for Nuclear Research)(2020)10.5281/zenodo.3718904
Top 44%
0.420DataRank
Top 44%4 citations

Bjoern Menze, Christos Davatzikos, Jayashree Kalpathy–Cramer, Keyvan Farahani, Michel Bilello +18 more

Papers

Driven by 11 papers — median percentile 56. Top paper: “Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data”.

Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data

Scientific Reports(2020)10.1038/s41598-020-69250-1
N/A
1.1DataRank · unranked
1289 citations

Brandon Edwards, G. Anthony Reina, Jason Martin, Sarthak Pati, Aikaterini Kotrotsou +6 more

A Radiomics Model Based on Synthetic MRI Acquisition for Predicting Neoadjuvant Systemic Treatment Response in Triple-Negative Breast Cancer

Radiology Imaging Cancer(2023)10.1148/rycan.230009
N/A
1.0DataRank · unranked
31 citations

Nabil Elshafeey, Aikaterini Kotrotsou, Huiqin Chen, Jong Bum Son, Medine Böge +21 more

MICCAI Brain Tumor Segmentation (BraTS) 2020 Benchmark: "Prediction of Survival and Pseudoprogression"

Zenodo (CERN European Organization for Nuclear Research)(2020)10.5281/zenodo.3718904
Top 44%
0.420DataRank
Top 44%4 citations

Bjoern Menze, Christos Davatzikos, Jayashree Kalpathy–Cramer, Keyvan Farahani, Michel Bilello +18 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

Radiometal-Based PET/MRI Contrast Agents for Sensing Tumor Extracellular pH

Biosensors(2022)10.3390/bios12020134
N/A
0DataRank · unranked
17 citations

Jorge de la Cerda, Franz Schuler, Tyler J. Pollard, Aikaterini Kotrotsou, Federica Pisaneschi +2 more

Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium

Neuroradiology(2023)10.1007/s00234-023-03196-9
N/A
0DataRank · unranked
25 citations

Sohil H. Patel, Suyash Mohan, Hamed Akbari, Spyridon Bakas, MacLean P. Nasrallah +79 more

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)

arXiv (Cornell University)(2023)10.48550/arxiv.2305.09011
N/A
0DataRank · unranked
12 citations

Gian Marco Conte, Hu, Qingqiao, Syed Muhammad Anwar, Florian Kofler, Ivan Ezhov +60 more

Machine learning-based prognostic subgrouping of glioblastoma: A multicenter study

Neuro-Oncology(2024)10.1093/neuonc/noae260
N/A
0DataRank · unranked
12 citations

Spyridon Bakas, Chiharu Sako, Anahita Fathi Kazerooni, Javier Villanueva-Meyer, José García +83 more

Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training

NeuroImage(2020)10.1016/j.neuroimage.2020.117081
N/A
0DataRank · unranked
84 citations

Jimit Doshi, Sarthak Pati, Saima Rathore, Chiharu Sako, Michel Bilello +19 more

Assessment of Early Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer Using Amide Proton Transfer–weighted Chemical Exchange Saturation Transfer MRI: A Pilot Study

Radiology Imaging Cancer(2021)10.1148/rycan.2021200155
N/A
0DataRank · unranked
28 citations

Gaiane M. Rauch, Beatriz E. Adrada, Medine Böge, Rania M. Mohamed, Abeer H. Abdelhafez +13 more