Improving physical behavior in image registration. - Guillaume Janssens; Jonathan Orban de Xivry; Hugo J. W. L. Aerts; Geert Bosmans; Andre L. A. J. Dekker; Benoît Macq (ICIP, 2008)

Research and applications: Comparison and validation of genomic predictors for anticancer drug sensitivity. - Simon Papillon-Cavanagh; Nicolas De Jay; Nehme Hachem; Catharina Olsen; Gianluca Bontempi; Hugo J. W. L. Aerts; John Quackenbush; Benjamin Haibe-Kains (J. Am. Medical Informatics Assoc., 2013)

Inconsistency in large pharmacogenomic studies. - Benjamin Haibe-Kains; Nehme El-Hachem; Nicolai J. Birkbak; Andrew C. Jin; Andrew H. Beck; Hugo J. W. L. Aerts; John Quackenbush (Nat., 2013)

Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach. - Yuhua Gu; Virendra Kumar; Lawrence O. Hall; Dmitry B. Goldgof; Ching-Yen Li; René Korn; Claus Bendtsen; Emmanuel Rios Velazquez; Andre Dekker; Hugo J. W. L. Aerts; Philippe Lambin; Xiuli Li; et al. (Pattern Recognit., 2013)

diXa: a data infrastructure for chemical safety assessment. - Diana M. Hendrickx; Hugo J. W. L. Aerts; Florian Caiment; Dominic Clark; Timothy M. D. Ebbels; Chris T. A. Evelo; Hans Gmuender; Dennie G. A. J. Hebels; Ralf Herwig; Jürgen Hescheler; Danyel G. J. Jennen; Marlon J. A. Jetten; et al. (Bioinform., 2015)

PharmacoGx: an R package for analysis of large pharmacogenomic datasets. - Petr Smirnov; Zhaleh Safikhani; Nehme Hachem; Dong Wang; Adrian She; Catharina Olsen; Mark Freeman 002; Heather Marie Selby; Deena M. A. Gendoo; Patrick Grossmann; Andrew H. Beck; Hugo J. W. L. Aerts; et al. (Bioinform., 2016)

Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience. - Tina Kapur; Steve Pieper 001; Andriy Fedorov; Jean-Christophe Fillion-Robin; Michael Halle; Lauren O'Donnell; Andras Lasso; Tamas Ungi; Csaba Pinter; Julien Finet; Sonia Pujol; Jagadeesan Jayender; et al. (Medical Image Anal., 2016)

Safikhani et al. reply. - Zhaleh Safikhani; Nehme Hachem; Petr Smirnov; Mark Freeman 002; Anna Goldenberg; Nicolai J. Birkbak; Andrew H. Beck; Hugo J. W. L. Aerts; John Quackenbush; Benjamin Haibe-Kains (Nat., 2016)

Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer. - Martin Vallières; Emily Kay-Rivest; Léo Jean Perrin; Xavier Liem; Christophe Furstoss; Hugo J. W. L. Aerts; Nader Khaouam; Phuc Felix Nguyen-Tan; Chang-Shu Wang; Khalil Sultanem; Jan Seuntjens; Issam El-Naqa (CoRR, 2017)

Repeatability of Multiparametric Prostate MRI Radiomics Features. - Michael Schwier; Joost van Griethuysen; Mark G. Vangel; Steve Pieper 001; Sharon Peled; Clare M. Tempany; Hugo J. W. L. Aerts; Ron Kikinis; Fiona M. Fennessy; Andrey Fedorov (CoRR, 2018)

ModelHub.AI: Dissemination Platform for Deep Learning Models. - Ahmed Hosny; Michael Schwier; Christoph Berger; Evin Pinar Örnek; Mehmet Turan; Phi V. Tran; Leon Weninger; Fabian Isensee; Klaus H. Maier-Hein; Richard McKinley; Michael T. Lu; Udo Hoffmann; et al. (CoRR, 2019)

Deep learning-based detection of intravenous contrast in computed tomography scans. - Zezhong Ye; Jack M. Qian; Ahmed Hosny; Roman Zeleznik; Deborah Plana; Jirapat Likitlersuang; Zhongyi Zhang; Raymond H. Mak; Hugo J. W. L. Aerts; Benjamin H. Kann (CoRR, 2021)

Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer. - Roman Zeleznik; Jakob Weiss; Jana Taron; Christian V. Guthier; Danielle S. Bitterman; Cindy Hancox; Benjamin H. Kann; Daniel W. Kim; Rinaa S. Punglia; Jeremy Bredfeldt; Borek Foldyna; Parastou Eslami; et al. (npj Digit. Medicine, 2021)

Using virtual clinical trials to determine the accuracy of AI-based quantitative imaging biomarkers in oncology trials using standard-of-care CT. - Darrin W. Byrd; Dennis Bontempi; Hao Yang; Hugo J. W. L. Aerts; Binzhang Zhao; Andrey Fedorov; Lawrence H. Schwartz; Tavis Allison; Chaya Moscowitz; Paul E. Kinahan (Image Perception, Observer Performance, and Technology Assessment, 2022)

What Does DALL-E 2 Know About Radiology? - Lisa C. Adams; Felix Busch; Daniel Truhn; Marcus R. Makowski; Hugo J. W. L. Aerts; Keno K. Bressem (CoRR, 2022)

Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy. - Shan Chen 004; Marco Guevara; Nicolas Ramirez; Arpi Murray; Jeremy L. Warner; Hugo J. W. L. Aerts; Timothy A. Miller; Guergana K. Savova; Raymond H. Mak; Danielle S. Bitterman (CoRR, 2023)

Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification. - Shan Chen 004; Yingya Li; Sheng Lu; Hoang Van; Hugo J. W. L. Aerts; Guergana K. Savova; Danielle S. Bitterman (CoRR, 2023)

Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations. - Deepa Krishnaswamy; Dennis Bontempi; Vamsi Thiriveedhi; Davide Punzo; David A. Clunie; Christopher P. Bridge; Hugo J. W. L. Aerts; Ron Kikinis; Andrey Fedorov (CoRR, 2023)

Large Language Models to Identify Social Determinants of Health in Electronic Health Records. - Marco Guevara; Shan Chen 004; Spencer Thomas; Tafadzwa L. Chaunzwa; Idalid Franco; Benjamin H. Kann; Shalini Moningi; Jack M. Qian; Madeleine Goldstein; Susan Harper; Hugo J. W. L. Aerts; Guergana K. Savova; et al. (CoRR, 2023)

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. - Karim Lekadir; Aasa Feragen; Abdul Joseph Fofanah; Alejandro F. Frangi; Alena Buyx; Anais Emelie; Andrea Lara; Antonio R. Porras; An-Wen Chan; Arcadi Navarro; Ben Glocker; Benard Ohene Botwe; et al. (CoRR, 2023)

The impact of using an AI chatbot to respond to patient messages. - Shan Chen 004; Marco Guevara; Shalini Moningi; Frank Hoebers; Hesham Elhalawani; Benjamin H. Kann; Fallon E. Chipidza; Jonathan Leeman; Hugo J. W. L. Aerts; Timothy A. Miller; Guergana K. Savova; Raymond H. Mak; et al. (CoRR, 2023)

Dual center validation of deep learning for automated multi-label segmentation of thoracic anatomy in bedside chest radiographs. - Felix Busch; Lina Xu; Dmitry Sushko; Matthias Weidlich 002; Daniel Truhn; Gustav Müller-Franzes; Maurice M. Heimer; Stefan Markus Niehues; Marcus R. Makowski; Markus Hinsche; Janis Lucas Vahldiek; Hugo J. W. L. Aerts; et al. (Comput. Methods Programs Biomed., 2023)

SegmentationReview: A Slicer3D extension for fast review of AI-generated segmentations. - Anna Zapaishchykova; Divyanshu Tak; Aidan Boyd; Zezhong Ye; Hugo J. W. L. Aerts; Benjamin H. Kann (Softw. Impacts, 2023)

Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks. - Jack Gallifant; Shan Chen 004; Pedro Moreira; Nikolaj Munch; Mingye Gao; Jackson Pond; Leo Anthony Celi; Hugo J. W. L. Aerts; Thomas Hartvigsen; Danielle S. Bitterman (EMNLP (Findings), 2024)

SynthBrainGrow: Synthetic Diffusion Brain Aging for Longitudinal MRI Data Generation in Young People. - Anna Zapaishchykova; Benjamin H. Kann; Divyanshu Tak; Zezhong Ye; Daphne A. Haas-Kogan; Hugo J. W. L. Aerts (DGM4MICCAI@MICCAI, 2024)

Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias. - Shan Chen 004; Jack Gallifant; Mingye Gao; Pedro Moreira; Nikolaj Munch; Ajay Muthukkumar; Arvind Rajan; Jaya Kolluri; Amelia Fiske; Janna Hastings; Hugo J. W. L. Aerts; Brian Anthony; et al. (NeurIPS, 2024)

Magnetic resonance delta radiomics to track radiation response in lung tumors receiving stereotactic MRI-guided radiotherapy. - Yining Zha; Benjamin H. Kann; Zezhong Ye; Anna Zapaishchykova; John He; Shu-Hui Hsu; Jonathan E. Leeman; Kelly J. Fitzgerald; David E. Kozono; Raymond H. Mak; Hugo J. W. L. Aerts (CoRR, 2024)

MRSegmentator: Robust Multi-Modality Segmentation of 40 Classes in MRI and CT Sequences. - Hartmut Häntze; Lina Xu; Felix J. Dorfner; Leonhard Donle; Daniel Truhn; Hugo J. W. L. Aerts; Mathias Prokop; Bram van Ginneken; Alessa Hering; Lisa C. Adams; Keno K. Bressem (CoRR, 2024)

Incorporating Anatomical Awareness for Enhanced Generalizability and Progression Prediction in Deep Learning-Based Radiographic Sacroiliitis Detection. - Felix J. Dorfner; Janis Lucas Vahldiek; Leonhard Donle; Andrei Zhukov; Lina Xu; Hartmut Häntze; Marcus R. Makowski; Hugo J. W. L. Aerts; Fabian Proft; Valeria Rios Rodriguez; Judith Rademacher; Mikhail Protopopov; et al. (CoRR, 2024)

Artificial Intelligence-Based Opportunistic Coronary Calcium Screening in the Veterans Affairs National Healthcare System. - Raffi Hagopian; Timothy Strebel; Simon Bernatz; Gregory A Myers; Erik Offerman; Erick Zúniga; Cy Y. Kim; Angie T. Ng; James A Iwaz; Sunny P. Singh; Evan P. Carey; Michael J. Kim; et al. (CoRR, 2024)

Wait, but Tylenol is Acetaminophen... Investigating and Improving Language Models' Ability to Resist Requests for Misinformation. - Shan Chen 004; Mingye Gao; Kuleen Sasse; Thomas Hartvigsen; Brian Anthony; Lizhou Fan; Hugo J. W. L. Aerts; Jack Gallifant; Danielle S. Bitterman (CoRR, 2024)

Evaluating the ChatGPT family of models for biomedical reasoning and classification. - Shan Chen 004; Yingya Li; Sheng Lu; Hoang Van; Hugo J. W. L. Aerts; Guergana K. Savova; Danielle S. Bitterman (J. Am. Medical Informatics Assoc., 2024)

Large language models to identify social determinants of health in electronic health records. - Marco Guevara; Shan Chen 004; Spencer Thomas; Tafadzwa L. Chaunzwa; Idalid Franco; Benjamin H. Kann; Shalini Moningi; Jack M. Qian; Madeleine Goldstein; Susan Harper; Hugo J. W. L. Aerts; Paul J. Catalano; et al. (npj Digit. Medicine, 2024)

medBERT.de: A comprehensive German BERT model for the medical domain. - Keno K. Bressem; Jens-Michalis Papaioannou; Paul Grundmann; Florian Borchert; Lisa C. Adams; Leonhard Liu; Felix Busch; Lina Xu; Jan P. Loyen; Stefan Markus Niehues; Moritz Augustin; Lennart Grosser; et al. (Expert Syst. Appl., 2024)

WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation. - João Matos; Shan Chen 004; Siena Placino; Yingya Li; Juan Carlos Climent Pardo; Daphna Idan; Takeshi Tohyama; David S. Restrepo; Luis Filipe Nakayama; Jose M. M. Pascual-Leone; Guergana K. Savova; Hugo J. W. L. Aerts; et al. (NAACL (Findings), 2025)

Vision Foundation Models for Computed Tomography. - Suraj Pai; Ibrahim Hadzic; Dennis Bontempi; Keno K. Bressem; Benjamin H. Kann; Andriy Fedorov; Raymond H. Mak; Hugo J. W. L. Aerts (CoRR, 2025)

Sparse Autoencoder Features for Classifications and Transferability. - Jack Gallifant; Shan Chen 004; Kuleen Sasse; Hugo J. W. L. Aerts; Thomas Hartvigsen; Danielle S. Bitterman (CoRR, 2025)

MedBrowseComp: Benchmarking Medical Deep Research and Computer Use. - Shan Chen 004; Pedro Moreira; Yuxin Xiao; Sam Schmidgall; Jeremy L. Warner; Hugo J. W. L. Aerts; Thomas Hartvigsen; Jack Gallifant; Danielle S. Bitterman (CoRR, 2025)

TissUnet: Improved Extracranial Tissue and Cranium Segmentation for Children through Adulthood. - Markiian Mandzak; Elvira Yang; Anna Zapaishchykova; Yu-Hui Chen; Lucas Heilbroner; John Zielke; Divyanshu Tak; Reza Mojahed-Yazdi; Francesca Romana Mussa; Zezhong Ye; Sridhar Vajapeyam; Viviana Benitez; et al. (CoRR, 2025)

Foundation Artificial Intelligence Models for Health Recognition Using Face Photographs (FAHR-Face). - Fridolin Haugg; Grace Lee; John He; Leonard Nürnberg; Dennis Bontempi; Danielle S. Bitterman; Paul J. Catalano; Vasco Prudente; Dmitrii Glubokov; Andrew Warrington; Suraj Pai; Dirk De Ruysscher; et al. (CoRR, 2025)

Lighter: Configuration-Driven Deep Learning. - Ibrahim Hadzic; Suraj Pai; Keno K. Bressem; Borek Foldyna; Hugo J. W. L. Aerts (J. Open Source Softw., 2025)

LongHealth: A Question Answering Benchmark with Long Clinical Documents. - Lisa Adams; Felix Busch; Tianyu Han; Jean-Baptiste Excoffier; Matthieu Ortala; Alexander Löser; Hugo J. W. L. Aerts; Jakob Nikolas Kather; Daniel Truhn; Keno K. Bressem (J. Heal. Informatics Res., 2025)