Hugo J.W.L. Aerts

ORCID: 0000-0002-2122-2003

Also affiliated with Harvard University, Maastricht University, Massachusetts General Hospital, Dana-Farber Cancer Institute, Dana-Farber Brigham Cancer Center, Artificial Intelligence in Medicine (Canada), Mass General Brigham

MedicineComputer Science

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 2%percentile

1.9Author DataRank

Indexed papers

6in 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 6 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.

DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules

Medical Physics(2020)10.1002/mp.14445

Top 27%

0.753DataRank

Top 27%21 citations

Matthew C. Hancock, David Clunie, Mathias Brochhausen, Jonathan P. Bona, Justin Kirby +6 more

Papers

Driven by 64 papers — median percentile 41. Top paper: “Tracking early lung cancer metastatic dissemination in TRACERx using ctDNA”.

Tracking early lung cancer metastatic dissemination in TRACERx using ctDNA

Nature(2023)10.1038/s41586-023-05776-4

N/A

5.3DataRank · unranked

350 citations

Alexander M. Frankell, Thomas Harrison, Judit Kisistók, Aaron T. Garnett, Laura Johnson +95 more

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

Radiology(2020)10.1148/radiol.2020191145

N/A

1.2DataRank · unranked

3690 citations

Martin Vallières, Mahmoud A. Abdalah, Hugo J.W.L. Aerts, Vincent Andrearczyk, Aditya Apte +58 more

Transparency and reproducibility in artificial intelligence

Nature(2020)10.1038/s41586-020-2766-y

N/A

0.929DataRank · unranked

487 citations

George Alexandru Adam, Ahmed Hosny, Farnoosh Khodakarami, Massive Analysis Quality Control (MAQC) Society Board of Directors, Matthias Fischer +26 more

DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules

Medical Physics(2020)10.1002/mp.14445

Top 27%

0.753DataRank

Top 27%21 citations

Matthew C. Hancock, David Clunie, Mathias Brochhausen, Jonathan P. Bona, Justin Kirby +6 more

Enrichment of lung cancer computed tomography collections with AI-derived annotations

Scientific Data(2024)10.1038/s41597-023-02864-y

Top 38%

0.508DataRank

Top 38%7 citations

Dennis Bontempi, Vamsi Thiriveedhi, Davide Punzo, David Clunie, Christopher P. Bridge +4 more

WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation

Research Publications (Maastricht University)(2025)10.18653/v1/2025.findings-naacl.402

Top 52%

0.329DataRank

Top 52%5 citations

Shan Chen, Siena Kathleen V. Placino, Yingya Li, Juan Carlos Pardo, Daphna Idan +11 more

WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation

arXiv (Cornell University)(2024)10.48550/arxiv.2410.12722

Top 65%

0.206DataRank

Top 65%2 citations

Shan Chen, Siena Kathleen V. Placino, Yingya Li, Juan Carlos Pardo, Daphna Idan +11 more

Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations

arXiv (Cornell University)(2023)10.48550/arxiv.2306.00150

Top 78%

0.104DataRank

Top 78%1 citations

Dennis Bontempi, Vamsi Thiriveedhi, Davide Punzo, David Clunie, Christopher P. Bridge +4 more

Deep Learning to Estimate Biological Age From Chest Radiographs

JACC. Cardiovascular imaging(2021)10.1016/j.jcmg.2021.01.008

N/A

0DataRank · unranked

98 citations

Jakob Weiß, Udo Hoffmann, Hugo J.W.L. Aerts, Michael T. Lu, Vineet K. Raghu

Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer

npj Digital Medicine(2021)10.1038/s41746-021-00416-5

N/A

0DataRank · unranked

29 citations

Jakob Weiß, Jana Taron, Christian V. Guthier, Danielle S. Bitterman, Cindy Hancox +11 more

Small whole heart volume predicts cardiovascular events in patients with stable chest pain: insights from the PROMISE trial

European Radiology(2021)10.1007/s00330-021-07695-2

N/A

0DataRank · unranked

6 citations

Roman Zeleznik, Parastou Eslami, Thomas Mayrhofer, Jan‐Erik Scholtz, Maros Ferencik +10 more

A local human Vδ1 T cell population is associated with survival in nonsmall-cell lung cancer

Nature Cancer(2022)10.1038/s43018-022-00376-z

N/A

0DataRank · unranked

113 citations

Dhruva Biswas, Ieva Usaite, Mihaela Angelova, Stefan Boeing, Takahiro Karasaki +95 more

Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study

The Lancet Digital Health(2022)10.1016/s2589-7500(22)00129-7

N/A

0DataRank · unranked

72 citations

Danielle S. Bitterman, Christian V. Guthier, Jack M. Qian, Hannah Roberts, Subha Perni +11 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

Deep Learning–based Detection of Intravenous Contrast Enhancement on CT Scans

Radiology Artificial Intelligence(2022)10.1148/ryai.210285

N/A

0DataRank · unranked

22 citations

Jack M. Qian, Ahmed Hosny, Roman Zeleznik, Deborah Plana, Jirapat Likitlersuang +5 more

Low skeletal muscle area and association with toxicity and hospitalization with chemotherapy in advanced non–small cell lung cancer.

Journal of Clinical Oncology(2022)10.1200/jco.2022.40.16_suppl.8532

N/A

0DataRank · unranked

0 citations

John Cijiang He, Kee‐Young Shin, Jakob Weiß, Yu‐Hui Chen, Paul J. Catalano +5 more

Body composition and lung cancer-associated cachexia in TRACERx

Nature Medicine(2023)10.1038/s41591-023-02232-8

N/A

0DataRank · unranked

131 citations

Jakob Weiss, Marcin Skrzypski, Jie Min Lam, Takahiro Karasaki, Francisco Zambrana +92 more

Screening for extranodal extension in HPV-associated oropharyngeal carcinoma: evaluation of a CT-based deep learning algorithm in patient data from a multicentre, randomised de-escalation trial

The Lancet Digital Health(2023)10.1016/s2589-7500(23)00046-8

N/A

0DataRank · unranked

74 citations

Jirapat Likitlersuang, Dennis Bontempi, Zezhong Ye, Sanjay Aneja, Richard L. Bakst +16 more

Deep learning to estimate lung disease mortality from chest radiographs

Nature Communications(2023)10.1038/s41467-023-37758-5

N/A

0DataRank · unranked

51 citations

Vineet K. Raghu, Dennis Bontempi, David C. Christiani, Raymond H. Mak, Michael T. Lu +2 more

Automated temporalis muscle quantification and growth charts for children through adulthood

Nature Communications(2023)10.1038/s41467-023-42501-1

N/A

0DataRank · unranked

17 citations

Kevin X. Liu, Anurag Saraf, Zezhong Ye, Paul J. Catalano, Viviana Benitez +18 more

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

arXiv (Cornell University)(2023)10.48550/arxiv.2309.12325

N/A

0DataRank · unranked

38 citations

Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie +95 more

Expert-level pediatric brain tumor segmentation in a limited data scenario with stepwise transfer learning

medRxiv(2023)10.1101/2023.06.29.23292048

N/A

0DataRank · unranked

18 citations

Zezhong Ye, Sanjay P. Prabhu, Michael C. Tjong, Yining Zha, Anna Zapaishchykova +12 more

Foundation Models for Quantitative Biomarker Discovery in Cancer Imaging

medRxiv(2023)10.1101/2023.09.04.23294952

N/A

0DataRank · unranked

8 citations

Dennis Bontempi, Ibrahim Hadžić, Vasco Prudente, Mateo Sokač, Tafadzwa L. Chaunzwa +6 more

Large Language Models to Identify Social Determinants of Health in Electronic Health Records

arXiv (Cornell University)(2023)10.48550/arxiv.2308.06354

N/A

0DataRank · unranked

7 citations

Shan Chen, Spencer A. Thomas, Tafadzwa L. Chaunzwa, Idalid Franco, Benjamin H. Kann +9 more

Decoding biological age from face photographs using deep learning

medRxiv(2023)10.1101/2023.09.12.23295132

N/A

0DataRank · unranked

6 citations

Dennis Bontempi, Danielle S. Bitterman, Nicolai J. Birkbak, Derek Shyr, Fridolin Haugg +17 more

Noninvasive molecular subtyping of pediatric low-grade glioma with self-supervised transfer learning

medRxiv(2023)10.1101/2023.08.04.23293673

N/A

0DataRank · unranked

5 citations

Zezhong Ye, Anna Zapaishchykova, Yining Zha, Aidan Boyd, Sridhar Vajapeyam +16 more

The impact of responding to patient messages with large language model assistance

arXiv (Cornell University)(2023)10.48550/arxiv.2310.17703

N/A

0DataRank · unranked

3 citations

Marco Guevara, Shalini Moningi, Frank Hoebers, Hesham Elhalawani, Benjamin H. Kann +10 more

Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipeline

medRxiv(2023)10.1101/2023.03.01.23286638

N/A

0DataRank · unranked

1 citations

Anurag Saraf, Yashwanth Ravipati, Frank Hoebers, Yining Zha, Anna Zapaishchykova +16 more

Large language models to identify social determinants of health in electronic health records

npj Digital Medicine(2024)10.1038/s41746-023-00970-0

N/A

0DataRank · unranked

264 citations

Shan Chen, Spencer A. Thomas, Tafadzwa L. Chaunzwa, Idalid Franco, Benjamin H. Kann +10 more

Foundation model for cancer imaging biomarkers

Nature Machine Intelligence(2024)10.1038/s42256-024-00807-9

N/A

0DataRank · unranked

172 citations

Dennis Bontempi, Ibrahim Hadžić, Vasco Prudente, Mateo Sokač, Tafadzwa L. Chaunzwa +6 more

The effect of using a large language model to respond to patient messages

The Lancet Digital Health(2024)10.1016/s2589-7500(24)00060-8

N/A

0DataRank · unranked

129 citations

Marco Guevara-Vega, Shalini Moningi, Frank Hoebers, Hesham Elhalawani, Benjamin H. Kann +12 more

Evaluating the ChatGPT family of models for biomedical reasoning and classification

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocad256

N/A

0DataRank · unranked

73 citations

Yingya Li, Sheng Lu, Hoang Anh Thi Van, Hugo J.W.L. Aerts, Guergana Savova +2 more

Skeletal muscle adiposity, coronary microvascular dysfunction, and adverse cardiovascular outcomes

European Heart Journal(2024)10.1093/eurheartj/ehae827

N/A

0DataRank · unranked

47 citations

Amelie S. Troschel, J. Peter Marquardt, Ibrahim Hadžić, Borek Foldyna, Filipe A. Moura +10 more

Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning

Radiology Artificial Intelligence(2024)10.1148/ryai.230333

N/A

0DataRank · unranked

30 citations

Zezhong Ye, Anna Zapaischykova, Yining Zha, Aidan Boyd, Sridhar Vajapeyam +16 more

Multimodal deep learning improves recurrence risk prediction in pediatric low-grade gliomas

Neuro-Oncology(2024)10.1093/neuonc/noae173

N/A

0DataRank · unranked

30 citations

Divyanshu Tak, Zezhong Ye, Anna Zapaishchykova, Jirapat Likitlersuang, Juan Carlos Pardo +18 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

0DataRank · unranked

28 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

0DataRank · unranked

24 citations

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

Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario

Radiology Artificial Intelligence(2024)10.1148/ryai.230254

N/A

0DataRank · unranked

21 citations

Zezhong Ye, Sanjay P. Prabhu, Michael C. Tjong, Yining Zha, Anna Zapaishchykova +13 more

End-to-end reproducible AI pipelines in radiology using the cloud

Nature Communications(2024)10.1038/s41467-024-51202-2

N/A

0DataRank · unranked

14 citations

Leonard Nuernberg, Suraj Pai, Deepa Krishnaswamy, Vamsi Thiriveedhi, Ahmed Hosny +6 more

Edge roughness quantifies impact of physician variation on training and performance of deep learning auto-segmentation models for the esophagus

Scientific Reports(2024)10.1038/s41598-023-50382-z

N/A

0DataRank · unranked

3 citations

Christopher E. Kehayias, John Cijiang He, Hugo J.W.L. Aerts, Kelly Fitzgerald, Benjamin H. Kann +4 more

Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks

PubMed(2024)10.18653/v1/2024.findings-emnlp.726

N/A

0DataRank · unranked

16 citations

Shan Chen, Pedro Moreira, Nikolaj Munch, Mingye Gao, Jackson Pond +5 more

Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias

PubMed(2024)10.52202/079017-0749

N/A

0DataRank · unranked

9 citations

Jack Gallifant, Mingye Gao, Pedro Moreira, Nikolaj Munch, Ajay Muthukkumar +10 more

Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks

Research Publications (Maastricht University)(2024)10.48550/arxiv.2406.12066

N/A

0DataRank · unranked

1 citations

Shan Chen, Pedro Moreira, Nikolaj Munch, Mingye Gao, Jackson Pond +5 more

Magnetic resonance delta radiomics to track radiation response in lung tumors receiving stereotactic MRI-guided radiotherapy

arXiv (Cornell University)(2024)10.48550/arxiv.2402.16619

N/A

0DataRank · unranked

0 citations

Benjamin H. Kann, Zezhong Ye, Anna Zapaishchykova, John He, Shu‐Hui Hsu +6 more

Applying Deep Learning Based Facial Age Phenotyping to Improve Life Expectancy Prediction in Metastatic Cancer Patients Receiving Palliative Radiotherapy

International Journal of Radiation Oncology*Biology*Physics(2024)10.1016/j.ijrobp.2024.07.034

N/A

0DataRank · unranked

0 citations

Fridolin Haugg, D. Bontempi, Danielle S. Bitterman, Sudha K. Pai, C.V. Guthier +8 more

Wait, but Tylenol is Acetaminophen... Investigating and Improving Language Models' Ability to Resist Requests for Misinformation

arXiv (Cornell University)(2024)10.48550/arxiv.2409.20385

N/A

0DataRank · unranked

0 citations

Mingye Gao, Kuleen Sasse, Thomas Hartvigsen, Brian Anthony, Lizhou Fan +4 more

When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior

npj Digital Medicine(2025)10.1038/s41746-025-02008-z

N/A

0DataRank · unranked

60 citations

Mingye Gao, Kuleen Sasse, Thomas Hartvigsen, Brian Anthony, Lizhou Fan +4 more

FaceAge, a deep learning system to estimate biological age from face photographs to improve prognostication: a model development and validation study

The Lancet Digital Health(2025)10.1016/j.landig.2025.03.002

N/A

0DataRank · unranked

33 citations

Osbert C. Zalay, Danielle S. Bitterman, Nicolai J. Birkbak, Derek Shyr, Fridolin Haugg +17 more

AI Opportunistic Coronary Calcium Screening at Veterans Affairs Hospitals

NEJM AI(2025)10.1056/aioa2400937

N/A

0DataRank · unranked

11 citations

Timothy Strebel, Simon Bernatz, Gregory A. Myers, Erik Offerman, Eric Zuniga +12 more

Sex-specific prognostic value of automated epicardial adipose tissue quantification on serial lung cancer screening chest computed tomography

European Heart Journal - Cardiovascular Imaging(2025)10.1093/ehjci/jeaf257

N/A

0DataRank · unranked

5 citations

Thomas Mayrhofer, Ibrahim Hadžić, Emilia Norton, I. Langenbach, Marcel C. Langenbach +8 more

Baseline atrial volume indices and major adverse cardiac events following thoracic radiotherapy

Frontiers in Cardiovascular Medicine(2025)10.3389/fcvm.2025.1560922

N/A

0DataRank · unranked

3 citations

John Cijiang He, Katrina D. Silos, Jordan O. Gasho, Patrick Belen, Danielle S. Bitterman +10 more

Foundation model based prediction of lung cancer survival using temporal changes in dual time point CT scans

Scientific Reports(2025)10.1038/s41598-025-26365-7

N/A

0DataRank · unranked

2 citations

Suraj Pai, John He, Fridolin Haugg, Yiwen Xu, David C. Christiani +3 more

Deep learning volumetrics reveal distinct clinical trajectories for pediatric low-grade gliomas under surveillance: A multicenter study

Neuro-Oncology Advances(2025)10.1093/noajnl/vdaf145

N/A

0DataRank · unranked

1 citations

Anna Zapaishchykova, Aidan Boyd, Divyanshu Tak, John Zielke, Maryam Mahootiha +16 more

Associations Between G8 Geriatric Screening Score, Charlson Comorbidity Index, AI-Based Age Phenotype, and Overall Survival in Older Adults With Stage I-II Non-Small Cell Lung Cancer

International Journal of Radiation Oncology*Biology*Physics(2025)10.1016/j.ijrobp.2025.07.1431

N/A

0DataRank · unranked

1 citations

Priya Amin, Sanjana Shah, Sarah M. Lipson, Jenny Yoon, Grace C. Lee +13 more

Foundation model embeddings for quantitative tumor imaging biomarkers

Research Square(2025)10.21203/rs.3.rs-6630446/v1

N/A

0DataRank · unranked

1 citations

Ibrahim Hadžić, Andriy Fedorov, Raymond H. Mak, Hugo J.W.L. Aerts, Suraj Pai

Opportunistic assessment of steatotic liver disease in lung cancer screening eligible individuals

Journal of Internal Medicine(2025)10.1111/joim.20053

N/A

0DataRank · unranked

0 citations

Simon Bernatz, Justin Johnson, Vamsi Thiriveedhi, Raymond H. Mak, Andriy Fedorov +3 more

TissUnet: Improved extracranial tissue and cranium segmentation for children through adulthood

Imaging Neuroscience(2025)10.1162/imag.a.1067

N/A

0DataRank · unranked

0 citations

Elvira Yang, Anna Zapaishchykova, Yu-Hui Chen, Lucas Heilbroner, John Zielke +15 more

Artificial intelligence in radiation oncology

Nature Reviews Clinical Oncology(2020)10.1038/s41571-020-0417-8

N/A

0DataRank · unranked

407 citations

Ahmed Hosny, Christian V. Guthier, Danielle S. Bitterman, Steven Petit, Daphne A. Haas‐Kogan +4 more

Artificial intelligence-derived imaging biomarkers to improve population health

The Lancet Digital Health(2020)10.1016/s2589-7500(20)30061-3

N/A

0DataRank · unranked

16 citations

Udo Hoffmann, Hugo J.W.L. Aerts, Jakob Weiß

Deep learning to identify high-risk smokers for lung cancer screening from chest radiographs.

Journal of Clinical Oncology(2020)10.1200/jco.2020.38.15_suppl.1519

N/A

0DataRank · unranked

2 citations

Thomas Mayrhofer, Hugo J.W.L. Aerts, Udo Hoffmann, Michael T. Lu, Vineet K. Raghu

DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules

Medical Physics(2020)10.1002/mp.14806

Top 100%

0DataRank

Top 100%0 citations

Matthew C. Hancock, David Clunie, Mathias Brochhausen, Jonathan P. Bona, Justin Kirby +6 more

Artificial intelligence for clinical oncology

Cancer Cell(2021)10.1016/j.ccell.2021.04.002

N/A

0DataRank · unranked

363 citations

Ahmed Hosny, Hugo J.W.L. Aerts, Benjamin H. Kann

Deep learning classification of lung cancer histology using CT images

Scientific Reports(2021)10.1038/s41598-021-84630-x

N/A

0DataRank · unranked

251 citations

Ahmed Hosny, Yiwen Xu, Andrea T. Shafer, Nancy Diao, Michael Lanuti +4 more

Deep convolutional neural networks to predict cardiovascular risk from computed tomography

Nature Communications(2021)10.1038/s41467-021-20966-2

N/A

0DataRank · unranked

235 citations

Borek Foldyna, Parastou Eslami, Jakob Weiß, Alexander Ivanov, Jana Taron +18 more

Hugo J.W.L. Aerts

Indexed papers

Top data-sharing exemplar

Papers