Hugo Aerts

Hugo Aerts

Harvard University

H-index: 86

North America-United States

About Hugo Aerts

Hugo Aerts, With an exceptional h-index of 86 and a recent h-index of 76 (since 2020), a distinguished researcher at Harvard University, specializes in the field of Deep Learning, Artificial Intelligence, Bioinformatics, Radiomics, Radiogenomics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Correction to: Evaluating the ChatGPT family of models for biomedical reasoning and classification

Robustness and reproducibility for AI learning in biomedical sciences: RENOIR

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

Evaluating the ChatGPT family of models for biomedical reasoning and classification

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

Diffusion deep learning for brain age prediction and longitudinal tracking in children through adulthood

Medbert. de: A comprehensive german bert model for the medical domain

The artificial intelligence-based model ANORAK improves histopathological grading of lung adenocarcinoma

Hugo Aerts Information

University

Position

Director AI in Medicine (AIM) @ -MGB | Professor @ MaastrichtU

Citations(all)

50898

Citations(since 2020)

41766

Cited By

23395

hIndex(all)

86

hIndex(since 2020)

76

i10Index(all)

191

i10Index(since 2020)

176

Email

University Profile Page

Harvard University

Google Scholar

View Google Scholar Profile

Hugo Aerts Skills & Research Interests

Deep Learning

Artificial Intelligence

Bioinformatics

Radiomics

Radiogenomics

Top articles of Hugo Aerts

Title

Journal

Author(s)

Publication Date

Correction to: Evaluating the ChatGPT family of models for biomedical reasoning and classification

Journal of the American Medical Informatics Association

Hoang Van

Hugo JWL Aerts

Guergana K Savova

Danielle S Bitterman

2024

Robustness and reproducibility for AI learning in biomedical sciences: RENOIR

Scientific Reports

Alessandro Barberis

Hugo JWL Aerts

Francesca M Buffa

2024/1/22

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

medRxiv

Divyanshu Tak

Zezhong Ye

Anna Zapaishchykova

Aidan Boyd

Sridhar Vajapeyam

...

2023/8/8

Evaluating the ChatGPT family of models for biomedical reasoning and classification

Journal of the American Medical Informatics Association

Shan Chen

Yingya Li

Sheng Lu

Hoang Van

Hugo JWL Aerts

...

2024/4/1

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

NPJ digital medicine

Marco Guevara

Shan Chen

Spencer Thomas

Tafadzwa L Chaunzwa

Idalid Franco

...

2024/1/11

Diffusion deep learning for brain age prediction and longitudinal tracking in children through adulthood

Imaging Neuroscience

Anna Zapaishchykova

Divyanshu Tak

Zezhong Ye

Kevin X Liu

Jirapat Likitlersuang

...

2024/3/25

Medbert. de: A comprehensive german bert model for the medical domain

Expert Systems with Applications

Keno K Bressem

Jens-Michalis Papaioannou

Paul Grundmann

Florian Borchert

Lisa C Adams

...

2024/3/1

The artificial intelligence-based model ANORAK improves histopathological grading of lung adenocarcinoma

Nature Cancer

Xiaoxi Pan

Khalid AbdulJabbar

Jose Coelho-Lima

Anca-Ioana Grapa

Hanyun Zhang

...

2024/1/10

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

arXiv preprint arXiv:2402.16619

Yining Zha

Benjamin H Kann

Zezhong Ye

Anna Zapaishchykova

John He

...

2024/2/23

Peripheral T cell receptor repertoire diversity is associated with outcome in bladder cancer

Cancer Research

Asbjørn Kjær

Nanna Kristjánsdóttir

Iver Nordentoft

Randi Istrup Juul

Karin Birkenkamp-Demtröder

...

2024/3/22

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

The Lancet Digital Health

Shan Chen

Marco Guevara

Shalini Moningi

Frank Hoebers

Hesham Elhalawani

...

2024/4/24

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

Scientific Data

Deepa Krishnaswamy

Dennis Bontempi

Vamsi Krishna Thiriveedhi

Davide Punzo

David Clunie

...

2024/1/4

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

Scientific Reports

Yujie Yan

Christopher Kehayias

John He

Hugo JWL Aerts

Kelly J Fitzgerald

...

2024/1/30

Foundation model for cancer imaging biomarkers

Nature machine intelligence

Suraj Pai

Dennis Bontempi

Ibrahim Hadzic

Vasco Prudente

Mateo Sokač

...

2024/3/15

Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer

Cancer Discovery

Katey SS Enfield

Emma Colliver

Claudia Lee

Alastair Magness

David A Moore

...

2024/4/12

Prospective deployment of an automated implementation solution for artificial intelligence translation to clinical radiation oncology

Frontiers in Oncology

Christopher E Kehayias

Yujie Yan

Dennis Bontempi

Sarah Quirk

Danielle S Bitterman

...

2024/1/4

LongHealth: A Question Answering Benchmark with Long Clinical Documents

arXiv preprint arXiv:2401.14490

Lisa Adams

Felix Busch

Tianyu Han

Jean-Baptiste Excoffier

Matthieu Ortala

...

2024/1/25

Deep learning analysis of epicardial adipose tissue to predict cardiovascular risk in heavy smokers

Communications medicine

Borek Foldyna

Ibrahim Hadzic

Roman Zeleznik

Marcel C Langenbach

Vineet K Raghu

...

2024/3/13

Deep Learning to Estimate Cardiovascular Risk From Chest Radiographs: A Risk Prediction Study

Annals of Internal Medicine

Jakob Weiss

Vineet K Raghu

Kaavya Paruchuri

Aniket Zinzuwadia

Pradeep Natarajan

...

2024/4

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

arXiv preprint arXiv:2306.00150

Deepa Krishnaswamy

Dennis Bontempi

Vamsi Thiriveedhi

Davide Punzo

David Clunie

...

2023/5/31

See List of Professors in Hugo Aerts University(Harvard University)

Co-Authors

H-index: 148
Ron Kikinis

Ron Kikinis

Harvard University

H-index: 124
Udo Hoffmann

Udo Hoffmann

Harvard University

H-index: 112
John Quackenbush

John Quackenbush

Harvard University

H-index: 85
Benjamin Haibe-Kains

Benjamin Haibe-Kains

University of Toronto

H-index: 57
Nicolai Juul Birkbak

Nicolai Juul Birkbak

Aarhus Universitet

H-index: 45
Raymond H. Mak

Raymond H. Mak

Harvard University

academic-engine