Raymond Y. Huang

Also affiliated with Mass General Brigham

MedicineNeuroscience

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 4%percentile

0.896Author DataRank

Indexed papers

4in 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 4 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.

Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation

Radiology Artificial Intelligence(2023)10.1148/ryai.220231

Top 40%

0.476DataRank

Top 40%11 citations

Christopher P. Bridge, Sara Ahmed, Oluwatosin Akintola, Caroline Chung, Raymond Y. Huang +11 more

Papers

Driven by 29 papers — median percentile 28. Top paper: “Brain metastases: A Society for Neuro-Oncology (SNO) consensus review on current management and future directions”.

Brain metastases: A Society for Neuro-Oncology (SNO) consensus review on current management and future directions

Neuro-Oncology(2022)10.1093/neuonc/noac118

N/A

3.5DataRank · unranked

197 citations

Nayan Lamba, Manmeet S. Ahluwalia, Kenneth Aldape, Adrienne Boire, Priscilla K. Brastianos +20 more

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

Federated learning enables big data for rare cancer boundary detection

Nature Communications(2022)10.1038/s41467-022-33407-5

N/A

0.881DataRank · unranked

355 citations

Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih‐Han Wang, G. Anthony Reina +95 more

Neoadjuvant anti-PD1 immunotherapy for surgically accessible recurrent glioblastoma: clinical and molecular outcomes of a stage 2 single-arm expansion cohort

Nature Communications(2024)10.1038/s41467-024-54326-7

N/A

0.730DataRank · unranked

37 citations

Lu Sun, Gilbert C. Youssef, Raymond Y. Huang, Gang Li, Jiyoon Kim +31 more

Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors

Neuro-Oncology(2021)10.1093/neuonc/noab151

N/A

0.654DataRank · unranked

77 citations

Daniel D Kim, Jay Patel, Xiaowei Zeng, Jiaer Huang, Ken Chang +20 more

Automatic Machine Learning to Differentiate Pediatric Posterior Fossa Tumors on Routine MR Imaging

American Journal of Neuroradiology(2020)10.3174/ajnr.a6621

N/A

0.637DataRank · unranked

69 citations

Rong Hu, Oliver Y. Tang, Chongyu Hu, Lei Tang, Ken Chang +11 more

Circulating Immune Cell and Outcome Analysis from the Phase II Study of PD-L1 Blockade with Durvalumab for Newly Diagnosed and Recurrent Glioblastoma

Clinical Cancer Research(2022)10.1158/1078-0432.ccr-21-4064

N/A

0.571DataRank · unranked

44 citations

Nathan Standifer, Jörg Dietrich, Jennifer Clarke, Gavin P. Dunn, Michael Lim +21 more

A Neuroradiologist’s Guide to Operationalizing the Response Assessment in Neuro-Oncology (RANO) Criteria Version 2.0 for Gliomas in Adults

American Journal of Neuroradiology(2024)10.3174/ajnr.a8396

N/A

0.533DataRank · unranked

34 citations

Francesco Sanvito, Timothy F. Cloughesy, Raymond Y. Huang, Javier Villanueva-Meyer, Whitney B. Pope +21 more

Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice

The Lancet Oncology(2024)10.1016/s1470-2045(24)00315-2

N/A

0.515DataRank · unranked

30 citations

Philipp Kickingereder, Norbert Galldiks, Thomas C. Booth, Hugo J.W.L. Aerts, Wenya Linda Bi +21 more

Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements

The Lancet Oncology(2024)10.1016/s1470-2045(24)00316-4

N/A

0.483DataRank · unranked

24 citations

Spyridon Bakas, Pallavi Tiwari, Janine Lupo, Evan Calabrese, Christos Davatzikos +21 more

Differentiation of low and high grade renal cell carcinoma on routine MRI with an externally validated automatic machine learning algorithm

Scientific Reports(2020)10.1038/s41598-020-76132-z

N/A

0.483DataRank · unranked

24 citations

Yijun Zhao, Jing Wu, Rong Hu, A. McGirr, Sukhdeep Singh +9 more

Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation

Radiology Artificial Intelligence(2023)10.1148/ryai.220231

Top 40%

0.476DataRank

Top 40%11 citations

Christopher P. Bridge, Sara Ahmed, Oluwatosin Akintola, Caroline Chung, Raymond Y. Huang +11 more

Development and validation of a clinical risk model for postoperative outcome in newly diagnosed glioblastoma: A report of the RANO resect group

Neuro-Oncology(2024)10.1093/neuonc/noae231

N/A

0.434DataRank · unranked

17 citations

Jacob S. Young, Gilbert C Youssef, Antonio Dono, Levin Häni, Tommaso Sciortino +25 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

Phase II Study of Defactinib (VS6063) in Patients With Tumors With NF2 Loss: Results From the NCI-MATCH ECOG-ACRIN Trial (EAY131) Subprotocol U

JCO Precision Oncology(2024)10.1200/po.24.00327

N/A

0.260DataRank · unranked

4 citations

Opeyemi A. Jegede, David M. Jackman, James A. Zwiebel, Robert J. Gray, Victoria Wang +17 more

Estimated clinical efficacy and radiographic response characteristics of PD1 inhibition in newly diagnosed and recurrent glioblastoma in clinical practice: A report from the iRANO Working Group.

Journal of Clinical Oncology(2020)10.1200/jco.2020.38.15_suppl.2521

N/A

0.241DataRank · unranked

4 citations

Raymond Y. Huang, Javier Villanueva‐Meyer, Mary Jane Lim-Fat, Elizabeth George, Bryan Iorgulescu +13 more

Defining the optimal millimeter threshold for target lesion inclusion in the Response Assessment in Neuro-Oncology for Brain Metastases (RANO-BM) based on outcome prediction.

Journal of Clinical Oncology(2022)10.1200/jco.2022.40.16_suppl.e14003

N/A

0.104DataRank · unranked

1 citations

Ken Chang, Jay Biren Patel, Albert Eusik Kim, Elizabeth R. Gerstner, Raymond Y. Huang +2 more

Comparative analysis of deep learning and radiomic signatures for overall survival prediction in recurrent high-grade glioma treated with immunotherapy

Cancer Imaging(2025)10.1186/s40644-024-00818-0

N/A

0DataRank · unranked

7 citations

Clifford Lindsay, Chenxi Zhang, Ji‐Soo Kim, Xin Chen, Jing Li +5 more

Evaluation of RAPNO criteria in medulloblastoma and other leptomeningeal seeding tumors using MRI and clinical data

Neuro-Oncology(2020)10.1093/neuonc/noaa072

N/A

0DataRank · unranked

22 citations

Hao Zhou, Oliver Y. Tang, Ken Chang, Panpan Wang, Xiaowei Zeng +14 more

Encephalopathy at admission predicts adverse outcomes in patients with SARS‐CoV‐2 infection

CNS Neuroscience & Therapeutics(2021)10.1111/cns.13687

N/A

0DataRank · unranked

5 citations

Shixin Liu, Yanhe Xiao, Thi My Linh Tran, Ji Whae Choi, Jing Wu +17 more

Radiomics-Based Machine Learning for Outcome Prediction in a Multicenter Phase II Study of Programmed Death-Ligand 1 Inhibition Immunotherapy for Glioblastoma

American Journal of Neuroradiology(2022)10.3174/ajnr.a7488

N/A

0DataRank · unranked

36 citations

Elizabeth Flagg, Ken Chang, Harrison X. Bai, Hugo J.W.L. Aerts, Martin Vallières +3 more

Author Correction: Federated learning enables big data for rare cancer boundary detection

Nature Communications(2023)10.1038/s41467-023-36188-7

N/A

0DataRank · unranked

5 citations

Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-han Wang, G. Anthony Reina +95 more

Data from Circulating Immune Cell and Outcome Analysis from the Phase II Study of PD-L1 Blockade with Durvalumab for Newly Diagnosed and Recurrent Glioblastoma

(2023)10.1158/1078-0432.c.6532395

Top 100%

0DataRank

Top 100%0 citations

Nathan Standifer, Jörg Dietrich, Jennifer Clarke, Gavin P. Dunn, Michael Lim +21 more

Data from Circulating Immune Cell and Outcome Analysis from the Phase II Study of PD-L1 Blockade with Durvalumab for Newly Diagnosed and Recurrent Glioblastoma

(2023)10.1158/1078-0432.c.6532395.v1

Top 100%

0DataRank

Top 100%0 citations

Nathan Standifer, Jörg Dietrich, Jennifer Clarke, Gavin P. Dunn, Michael Lim +21 more

Towards consistency in pediatric brain tumor measurements: Challenges, solutions, and the role of artificial intelligence-based segmentation

Neuro-Oncology(2024)10.1093/neuonc/noae093

N/A

0DataRank · unranked

25 citations

Anahita Fathi Kazerooni, Arastoo Vossough, Jeffrey B. Ware, Sina Bagheri, Nastaran Khalili +16 more

Auto-segmentation of Adult-Type Diffuse Gliomas: Comparison of Transfer Learning-Based Convolutional Neural Network Model vs. Radiologists

Journal of Imaging Informatics in Medicine(2024)10.1007/s10278-024-01044-7

N/A

0DataRank · unranked

9 citations

Ji‐Soo Kim, Clifford Lindsay, Xin Chen, Jing Li, J. Bryan Iorgulescu +6 more

A prognostic classification system for extent of resection in IDH-mutant grade 2 glioma: an international, multicentre, retrospective cohort study with external validation by the RANO resect group

The Lancet Oncology(2025)10.1016/s1470-2045(25)00534-0

N/A

0DataRank · unranked

17 citations

Jacob S. Young, Maarten M.J. Wijnenga, Tommaso Sciortino, Nico Teske, Alba Corell +44 more

Response Assessment in Neuro-Oncology (RANO) 2009–2025: Broad scope and implementation—A progress report

Neuro-Oncology(2025)10.1093/neuonc/noaf118

N/A

0DataRank · unranked

8 citations

Michael A. Vogelbaum, Timothy F. Cloughesy, Norbert Galldiks, Nathalie L. Albert, Joerg-Christian Tonn +30 more

Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging

Clinical Cancer Research(2020)10.1158/1078-0432.ccr-19-0374

N/A

0DataRank · unranked

146 citations

Yijun Zhao, Robin Wang, Marcello Chang, Subhanik Purkayastha, Ken Chang +13 more

Raymond Y. Huang

Indexed papers

Top data-sharing exemplar

Papers