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

Aditi Iyer

Memorial Sloan Kettering Cancer Center

ORCID: 0000-0002-2369-8953
MedicinePhysics and Astronomy

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 6%percentile
0.303Author 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.

External validation of pulmonary radiotherapy toxicity models for ultracentral lung tumors

Clinical and Translational Radiation Oncology(2022)10.1016/j.ctro.2022.10.012
Top 55%
0.303DataRank
Top 55%4 citations

Abraham J. Wu, Andrew Jackson, Purvi Patel, Lian Sun, Angela Ng +7 more

Papers

Driven by 10 papers — median percentile 45. Top paper: “Prospectively-validated deep learning model for segmenting swallowing and chewing structures in CT”.

Prospectively-validated deep learning model for segmenting swallowing and chewing structures in CT

Physics in Medicine and Biology(2021)10.1088/1361-6560/ac4000
N/A
0.483DataRank · unranked
24 citations

Maria Thor, Ifeanyirochukwu Onochie, Jennifer Hesse, Kaveh Zakeri, Eve LoCastro +7 more

External validation of pulmonary radiotherapy toxicity models for ultracentral lung tumors

Clinical and Translational Radiation Oncology(2022)10.1016/j.ctro.2022.10.012
Top 55%
0.303DataRank
Top 55%4 citations

Abraham J. Wu, Andrew Jackson, Purvi Patel, Lian Sun, Angela Ng +7 more

Reproducibility of radiomic features using network analysis and its application in Wasserstein k-means clustering

Journal of Medical Imaging(2021)10.1117/1.jmi.8.3.031904
N/A
0DataRank · unranked
6 citations

Aditya Apte, Evangelia Katsoulakis, Nadeem Riaz, Vaios Hatzoglou, Yao Yu +9 more

Portable framework to deploy deep learning segmentation models for medical images

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.03.17.435903
N/A
0DataRank · unranked
2 citations

Eve LoCastro, Aditya Apte, Harini Veeraraghavan, Joseph O. Deasy, Aditi Iyer

Technical Note: STRATIS: A Cloud-enabled Software Toolbox for Radiotherapy and Imaging Analysis

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.08.515686
N/A
0DataRank · unranked
1 citations

Eve LoCastro, Aditi Iyer, Jue Jiang, Jung Hun Oh, Harini Veeraraghavan +3 more

Exploring published and novel pre-treatment CT and PET radiomics to stratify risk of progression among early-stage non-small cell lung cancer patients treated with stereotactic radiation

Radiotherapy and Oncology(2023)10.1016/j.radonc.2023.109983
N/A
0DataRank · unranked
9 citations

Kelly Fitzgerald, Aditya Apte, Jung Hun Oh, Aditi Iyer, Otasowie Odiase +12 more

ROE (Radiotherapy Outcomes Estimator): An open-source tool for optimizing radiotherapy prescriptions

Computer Methods and Programs in Biomedicine(2023)10.1016/j.cmpb.2023.107833
N/A
0DataRank · unranked
2 citations

Aditya Apte, Ethan Bendau, Maria Thor, Ishita Chen, Jacob Y. Shin +7 more

A novel kernel Wasserstein distance on Gaussian measures: An application of identifying dental artifacts in head and neck computed tomography

Computers in Biology and Medicine(2020)10.1016/j.compbiomed.2020.103731
N/A
0DataRank · unranked
23 citations

Maryam Pouryahya, Aditi Iyer, Aditya Apte, Joseph O. Deasy, Allen Tannenbaum +1 more

Simulating the Potential of Model-Based Individualized Prescriptions for Ultracentral Lung Tumors

Advances in Radiation Oncology(2023)10.1016/j.adro.2023.101285
N/A
0DataRank · unranked
2 citations

Aditi Iyer, Maria Thor, Abraham J. Wu, Aditya Apte, Andreas Rimner +4 more

Deep learning auto-segmentation and automated treatment planning for trismus risk reduction in head and neck cancer radiotherapy

Physics and Imaging in Radiation Oncology(2021)10.1016/j.phro.2021.07.009
N/A
0DataRank · unranked
19 citations

Aditi Iyer, Jue Jiang, Aditya Apte, Harini Veeraraghavan, Natasha Allgood +11 more