Harini Veeraraghavan

MedicineBiochemistry, Genetics and Molecular Biology

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 3%percentile

1.3Author DataRank

Indexed papers

5in 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 5 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 →

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

CT images with expert manual contours of thoracic cancer for benchmarking auto‐segmentation accuracy

Medical Physics(2020)10.1002/mp.14107

Top 16%

1.3DataRank

Top 16%20 citations

Harini Veeraraghavan, Wouter van Elmpt, André Dekker, Mark J. Gooding, G Sharp +1 more

Papers

Driven by 28 papers — median percentile 0. Top paper: “Volumetric analysis of IDH-mutant lower-grade glioma: a natural history study of tumor growth rates before and after treatment”.

Volumetric analysis of IDH-mutant lower-grade glioma: a natural history study of tumor growth rates before and after treatment

Neuro-Oncology(2020)10.1093/neuonc/noaa105

N/A

1.7DataRank · unranked

52 citations

Robert J. Young, Benjamin M. Ellingson, Harini Veeraraghavan, Wei Wang, Florent Tixier +12 more

CT images with expert manual contours of thoracic cancer for benchmarking auto‐segmentation accuracy

Medical Physics(2020)10.1002/mp.14107

Top 16%

1.3DataRank

Top 16%20 citations

Harini Veeraraghavan, Wouter van Elmpt, André Dekker, Mark J. Gooding, G Sharp +1 more

Artificial Intelligence in CT and MR Imaging for Oncological Applications

Cancers(2023)10.3390/cancers15092573

N/A

0.698DataRank · unranked

104 citations

Akash Shah, Oğuz Akın, Richard Kinh Gian, Amaresha Shridhar Konar, Vaios Hatzoglou +8 more

Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study

Abdominal Radiology(2022)10.1007/s00261-022-03572-8

N/A

0.533DataRank · unranked

34 citations

Harini Veeraraghavan, Caio Sérgio Rizkallah Nahas, ‬David D. B. Bates, Felipe Ferreira, Junting Zheng +9 more

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

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

Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer

Nature Cancer(2022)10.1038/s43018-022-00388-9

N/A

0DataRank · unranked

347 citations

Emily A. Aherne, Lora H. Ellenson, Ines Nikolovski, Mohammed Alghamdi, Ignacio Vázquez-Garćıa +22 more

Inter- and intrafraction motion assessment and accumulated dose quantification of upper gastrointestinal organs during magnetic resonance-guided ablative radiation therapy of pancreas patients

Physics and Imaging in Radiation Oncology(2022)10.1016/j.phro.2022.02.007

N/A

0DataRank · unranked

45 citations

Harini Veeraraghavan, Kathryn R. Tringale, Emmanuel Amoateng, Ergys Subashi, Abraham J. Wu +3 more

Radiomic Analysis to Predict Histopathologically Confirmed Pseudoprogression in Glioblastoma Patients

Advances in Radiation Oncology(2022)10.1016/j.adro.2022.100916

N/A

0DataRank · unranked

22 citations

Emily S. Weg, Tejus Bale, Aaron T. Wild, Hyemin Um, Michael J. Fox +10 more

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

Deep learning‐based dominant index lesion segmentation for MR‐guided radiation therapy of prostate cancer

Medical Physics(2023)10.1002/mp.16320

N/A

0DataRank · unranked

15 citations

Jue Jiang, Anton Nosov, Andreas G. Wibmer, Michael J. Zeléfsky, Neelam Tyagi +2 more

A model for gastrointestinal tract motility in a 4D imaging phantom of human anatomy

Medical Physics(2023)10.1002/mp.16305

N/A

0DataRank · unranked

8 citations

Paul Segars, Harini Veeraraghavan, Joseph O. Deasy, Neelam Tyagi, Ergys Subashi

Tumor immune infiltrates and overall survival in non-small cell lung cancer are associated with an unsupervised radiomic signature.

Journal of Clinical Oncology(2023)10.1200/jco.2023.41.16_suppl.e20525

N/A

0DataRank · unranked

0 citations

Harini Veeraraghavan, Aditya Apte, Allen Tannenbaum, Joseph O. Deasy, Jung Hun Oh

Wasserstein HOG: Local Directionality Extraction via Optimal Transport

IEEE Transactions on Medical Imaging(2023)10.1109/tmi.2023.3325295

N/A

0DataRank · unranked

0 citations

Harini Veeraraghavan, Jue Jiang, Jung Hun Oh, Larry Norton, Joseph O. Deasy +2 more

Self‐supervised learning improves robustness of deep learning lung tumor segmentation models to CT imaging differences

Medical Physics(2024)10.1002/mp.17541

N/A

0DataRank · unranked

12 citations

Aneesh Rangnekar, Harini Veeraraghavan, Jue Jiang

Auto-segmentation of neck nodal metastases using self-distilled masked image transformer on longitudinal MR images

BJR|Artificial Intelligence(2024)10.1093/bjrai/ubae004

N/A

0DataRank · unranked

3 citations

Jue Jiang, James E. Han, Bill H. Diplas, Nadeem Riaz, Vaios Hatzoglou +5 more

Patient-specific digital twin gastrointestinal motion dataset

Zenodo (CERN European Organization for Nuclear Research)(2024)10.5281/zenodo.17702490

Top 100%

0DataRank

Top 100%0 citations

Nadkarni, Nishant, Bosma, Lando, Jue Jiang, Ergys Subashi, W. Paul Segars +5 more

Patient-specific digital twin gastrointestinal motion dataset

Zenodo (CERN European Organization for Nuclear Research)(2024)10.5281/zenodo.17702489

Top 100%

0DataRank

Top 100%0 citations

Nadkarni, Nishant, Bosma, Lando, Jue Jiang, Ergys Subashi, W. Paul Segars +5 more

Radiomic clustering using graph network techniques coupled with unbalanced optimal transport

Computational and Structural Biotechnology Journal(2025)10.1016/j.csbj.2025.10.066

N/A

0DataRank · unranked

1 citations

Aditya Apte, Harini Veeraraghavan, Jiening Zhu, Amita Shukla‐Dave, Joseph O. Deasy +1 more

Under-representation for Female Pelvis Cancers in Commercial Auto-segmentation Solutions and Open-source Imaging Datasets

Clinical Oncology(2025)10.1016/j.clon.2024.10.003

N/A

0DataRank · unranked

1 citations

Vonetta M. Williams, Christian El Hajj, Laura Cerviño, Harini Veeraraghavan, Sharif Elguindi +4 more

Predicting the hypoxic volume of head and neck tumors from fluorodeoxyglucose positron emission tomography images using artificial intelligence

Physics and Imaging in Radiation Oncology(2025)10.1016/j.phro.2025.100769

N/A

0DataRank · unranked

0 citations

Milan Grkovski, Heiko Schöder, Aditya Apte, John L. Humm, Nancy Y. Lee +3 more

brat: Aligned Multi-View Embeddings for Brain MRI Analysis

arXiv (Cornell University)(2025)10.48550/arxiv.2512.18679

Top 100%

0DataRank

Top 100%0 citations

Maksim Gridnev, Wanting Wang, Max Bain, Aneesh Rangnekar, Avijit Chatterjee +4 more

brat : Aligned Multi-View Embeddings for Brain MRI Analysis

2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)(2026)10.1109/wacv61042.2026.00568

N/A

0DataRank · unranked

0 citations

Maksim Gridnev, Wanting Wang, Max Bain, Aneesh Rangnekar, Avijit Chatterjee +4 more

A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy

Breast Cancer Research(2020)10.1186/s13058-020-01291-w

N/A

0DataRank · unranked

99 citations

Natsuko Onishi, Duc Fehr, Brittany Z. Dashevsky, Meredith Sadinski, Katja Pinker +10 more

Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis

European Radiology(2020)10.1007/s00330-020-06755-3

N/A

0DataRank · unranked

44 citations

Hilal Şahin, Nicholas W. Bateman, Ivana Blažić, Hebert Alberto Vargas, Harini Veeraraghavan +13 more

Head and neck cancer patient images for determining auto‐segmentation accuracy in T2‐weighted magnetic resonance imaging through expert manual segmentations

Medical Physics(2020)10.1002/mp.13942

N/A

0DataRank · unranked

41 citations

Abdallah Mohamed, Jinzhong Yang, Mark J. Gooding, Harini Veeraraghavan, Jayashree Kalpathy–Cramer +7 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

Harini Veeraraghavan

Indexed papers

Top data-sharing exemplar

Papers