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

Kayhan Batmanghelich

Boston University

ORCID: 0000-0001-9893-9136

Also affiliated with University of Massachusetts Boston

Computer ScienceMedicine

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 →

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.

Mammo-FM: Breast-specific foundational model for Integrated Mammographic Diagnosis, Prognosis, and Reporting

arXiv (Cornell University)(2025)10.48550/arxiv.2512.00198
Top 100%
0DataRank
Top 100%0 citations

Vedant Joshi, Syed, Rayan, Budhraja, Param, A. Kassem, Morrison, Katelyn C. +8 more

Papers

Driven by 28 papers — median percentile 0. Top paper: “Diversifying Sparsity Using Variational Determinantal Point Processes”.

Diversifying Sparsity Using Variational Determinantal Point Processes

arXiv (Cornell University)(2014)10.48550/arxiv.1411.6307
N/A
0.789DataRank · unranked
10 citations

Richard Sandstrom, Alex Kulesza, Sharon L. R. Kardia, Polina Golland, Luke Bornn +1 more

ComBat Harmonization: Empirical Bayes versus Fully Bayes Approaches

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.13.499561
N/A
0.369DataRank · unranked
5 citations

Tigmanshu Chaudhary, Mahbaneh Eshaghzadeh Torbati, Dana Tudorascu, Kayhan Batmanghelich, the Alzheimer’s Disease Neuroimaging Initiative +1 more

Weakly Supervised Disentanglement by Pairwise Similarities

Proceedings of the AAAI Conference on Artificial Intelligence(2020)10.1609/aaai.v34i04.5754
N/A
0DataRank · unranked
49 citations

Kayhan Batmanghelich, Junxiang Chen

Unpaired data empowers association tests

Bioinformatics(2020)10.1093/bioinformatics/btaa886
N/A
0DataRank · unranked
1 citations

Peng Liu, Frank C. Sciurba, Petar Stojanov, Dacheng Tao, George C. Tseng +3 more

Generative-Discriminative Complementary Learning

Proceedings of the AAAI Conference on Artificial Intelligence(2020)10.1609/aaai.v34i04.6126
N/A
0DataRank · unranked
34 citations

Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich +1 more

Deep Learning Prediction of Voxel-Level Liver Stiffness in Patients with Nonalcoholic Fatty Liver Disease

Radiology Artificial Intelligence(2021)10.1148/ryai.2021200274
N/A
0DataRank · unranked
16 citations

Kayhan Batmanghelich, Stephen S. Cai, Emile B. Gordon, S.J. Wallace, Roberta Catania +4 more

Context Matters: Graph-based Self-supervised Representation Learning for Medical Images

Proceedings of the AAAI Conference on Artificial Intelligence(2021)10.1609/aaai.v35i6.16620
N/A
0DataRank · unranked
21 citations

Ke Yu, Kayhan Batmanghelich, Li Sun

Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis

IEEE Journal of Biomedical and Health Informatics(2022)10.1109/jbhi.2022.3172976
N/A
0DataRank · unranked
121 citations

Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich +1 more

Explaining the black-box smoothly—A counterfactual approach

Medical Image Analysis(2022)10.1016/j.media.2022.102721
N/A
0DataRank · unranked
79 citations

Motahhare Eslami, Brian P. Pollack, S.J. Wallace, Kayhan Batmanghelich, Sumedha Singla

Automated detection of premalignant oral lesions on whole slide images using convolutional neural networks

Oral Oncology(2022)10.1016/j.oraloncology.2022.106109
N/A
0DataRank · unranked
37 citations

Elizabeth Ann Bilodeau, Brian Pollack, Kayhan Batmanghelich, Yingci Liu

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation

Medical Image Analysis(2022)10.1016/j.media.2022.102628
N/A
0DataRank · unranked
6 citations

Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard +35 more

Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)(2022)10.1109/cvpr52688.2022.01777
N/A
0DataRank · unranked
25 citations

Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong, Kayhan Batmanghelich +1 more

Knowledge Distillation via Constrained Variational Inference

Proceedings of the AAAI Conference on Artificial Intelligence(2022)10.1609/aaai.v36i7.20786
N/A
0DataRank · unranked
4 citations

Yuria Utsumi, Li Sun, Kayhan Batmanghelich, Li-wei H. Lehman, Ardavan Saeedi

ComBat Harmonization: Empirical Bayes versus fully Bayes approaches

NeuroImage Clinical(2023)10.1016/j.nicl.2023.103472
N/A
0DataRank · unranked
30 citations

Tigmanshu Chaudhary, Mahbaneh Eshaghzadeh Torbati, Dana Tudorascu, Kayhan Batmanghelich, Maxwell Reynolds

DrasCLR: A self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT images

Medical Image Analysis(2023)10.1016/j.media.2023.103062
N/A
0DataRank · unranked
23 citations

Li Sun, Junxiang Chen, Maxwell Reynolds, Tigmanshu Chaudhary, Kayhan Batmanghelich +1 more

Physics-Informed Neural Networks for Tissue Elasticity Reconstruction in Magnetic Resonance Elastography

Lecture notes in computer science(2023)10.1007/978-3-031-43999-5_32
N/A
0DataRank · unranked
9 citations

Kayhan Batmanghelich, Matthew Ragoza

MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images

arXiv (Cornell University)(2023)10.48550/arxiv.2310.03559
N/A
0DataRank · unranked
4 citations

Li Sun, Peng Wei, Shyam Visweswaran, Kayhan Batmanghelich, Yanwu Xu

Distilling BlackBox to Interpretable Models for Efficient Transfer Learning

Lecture notes in computer science(2023)10.1007/978-3-031-43895-0_59
N/A
0DataRank · unranked
2 citations

Ke Yu, Kayhan Batmanghelich, Shantanu Ghosh

From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding

arXiv (Cornell University)(2023)10.48550/arxiv.2305.14571
N/A
0DataRank · unranked
0 citations

Florian Luisier, Kayhan Batmanghelich, Dinei Florêncio, Cha Zhang, Li Sun

From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding

(2023)10.18653/v1/2023.acl-long.200
N/A
0DataRank · unranked
0 citations

Florian Luisier, Kayhan Batmanghelich, Dinei Florêncio, Cha Zhang, Li Sun

Detecting Cerebral Ischemia from Electroencephalography During Carotid Endarterectomy Using Machine Learning

medRxiv(2023)10.1101/2023.10.04.23295638
N/A
0DataRank · unranked
0 citations

Jeremy U. Espino, Allison M. Bradley, Parthasarathy D. Thirumala, Kayhan Batmanghelich, Shyam Visweswaran +1 more

MedSyn: Text-Guided Anatomy-Aware Synthesis of High-Fidelity 3-D CT Images

IEEE Transactions on Medical Imaging(2024)10.1109/tmi.2024.3415032
N/A
0DataRank · unranked
37 citations

Li Sun, Wei Peng, Shuyue Jia, Katelyn Morrison, Adam Perer +5 more

Anatomy-specific Progression Classification in Chest Radiographs via Weakly Supervised Learning

Radiology Artificial Intelligence(2024)10.1148/ryai.230277
N/A
0DataRank · unranked
2 citations

Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Clare B. Poynton, Kayhan Batmanghelich +1 more

Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation

arXiv (Cornell University)(2024)10.48550/arxiv.2412.04606
N/A
0DataRank · unranked
0 citations

Weichao Zhou, Shantanu Ghosh, Kayhan Batmanghelich, Wenchao Li, Chenyu Wang

Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation

PubMed(2025)10.18653/v1/2025.findings-naacl.95
N/A
0DataRank · unranked
1 citations

Weichao Zhou, Shantanu Ghosh, Kayhan Batmanghelich, Wenchao Li, Chenyu Wang

High-dimensional causal mediation analysis by partial sum statistic and sample splitting strategy in imaging genetics application

Bioinformatics(2025)10.1093/bioinformatics/btaf493
N/A
0DataRank · unranked
0 citations

Yusi Fang, Michael T. Gorczyca, Kayhan Batmanghelich, George C. Tseng, Hung‐Ching Chang

Mammo-FM: Breast-specific foundational model for Integrated Mammographic Diagnosis, Prognosis, and Reporting

arXiv (Cornell University)(2025)10.48550/arxiv.2512.00198
Top 100%
0DataRank
Top 100%0 citations

Vedant Joshi, Syed, Rayan, Budhraja, Param, A. Kassem, Morrison, Katelyn C. +8 more

3D-BoxSup: Positive-Unlabeled Learning of Brain Tumor Segmentation Networks From 3D Bounding Boxes

Frontiers in Neuroscience(2020)10.3389/fnins.2020.00350
N/A
0DataRank · unranked
11 citations

Mingming Gong, Junxiang Chen, Ziye Chen, Kayhan Batmanghelich, Yanwu Xu