Hugo J. W. L. Aerts

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 29

Top Topics

Data Generation

Top Venues

npj Digit. Medicine

Medical Image Anal.

Publications

Anna Zapaishchykova, Benjamin H. Kann, Divyanshu Tak, Zezhong Ye, Daphne A. Haas-Kogan, Hugo J. W. L. Aerts
SynthBrainGrow: Synthetic Diffusion Brain Aging for Longitudinal MRI Data Generation in Young People. CoRR (2024)
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
Magnetic resonance delta radiomics to track radiation response in lung tumors receiving stereotactic MRI-guided radiotherapy. CoRR (2024)
Marco Guevara, Shan Chen, 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, Guergana K. Savova, Raymond H. Mak, Danielle S. Bitterman
Large language models to identify social determinants of health in electronic health records. npj Digit. Medicine 7 (1) (2024)
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
MRSegmentator: Robust Multi-Modality Segmentation of 40 Classes in MRI and CT Sequences. CoRR (2024)
Jack Gallifant, Shan Chen, Pedro Moreira, Nikolaj Munch, Mingye Gao, Jackson Pond, Leo Anthony Celi, Hugo J. W. L. Aerts, Thomas Hartvigsen, Danielle S. Bitterman
Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks. CoRR (2024)
Shan Chen, Yingya Li, Sheng Lu, Hoang Van, Hugo J. W. L. Aerts, Guergana K. Savova, Danielle S. Bitterman
Evaluating the ChatGPT family of models for biomedical reasoning and classification. J. Am. Medical Informatics Assoc. 31 (4) (2024)
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, Hildrun Haibel, Torsten Diekhoff, Murat Torgutalp, Lisa C. Adams, Denis Poddubnyy, Keno K. Bressem
Incorporating Anatomical Awareness for Enhanced Generalizability and Progression Prediction in Deep Learning-Based Radiographic Sacroiliitis Detection. CoRR (2024)
Shan Chen, 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, Leo Anthony Celi, William G. La Cava, Danielle S. Bitterman
Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias. CoRR (2024)
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, Marcus R. Makowski, Hugo J. W. L. Aerts, Alexander Löser
medBERT.de: A comprehensive German BERT model for the medical domain. Expert Syst. Appl. 237 (Part C) (2024)
Marco Guevara, Shan Chen, 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, Raymond H. Mak, Danielle S. Bitterman
Large Language Models to Identify Social Determinants of Health in Electronic Health Records. CoRR (2023)
Shan Chen, Yingya Li, Sheng Lu, Hoang Van, Hugo J. W. L. Aerts, Guergana K. Savova, Danielle S. Bitterman
Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification. CoRR (2023)
Shan Chen, 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, Maryam Lustberg, Majid Afshar, Danielle S. Bitterman
The impact of using an AI chatbot to respond to patient messages. CoRR (2023)
Anna Zapaishchykova, Divyanshu Tak, Aidan Boyd, Zezhong Ye, Hugo J. W. L. Aerts, Benjamin H. Kann
SegmentationReview: A Slicer3D extension for fast review of AI-generated segmentations. Softw. Impacts 17 (2023)
Shan Chen, 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
Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy. CoRR (2023)
Felix Busch, Lina Xu, Dmitry Sushko, Matthias Weidlich, Daniel Truhn, Gustav Müller-Franzes, Maurice M. Heimer, Stefan Markus Niehues, Marcus R. Makowski, Markus Hinsche, Janis Lucas Vahldiek, Hugo J. W. L. Aerts, Lisa C. Adams, Keno K. Bressem
Dual center validation of deep learning for automated multi-label segmentation of thoracic anatomy in bedside chest radiographs. Comput. Methods Programs Biomed. 234 (2023)
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, Marcus R. Makowski, Hugo J. W. L. Aerts, Alexander Löser
MEDBERT.de: A Comprehensive German BERT Model for the Medical Domain. CoRR (2023)
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, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. CoRR (2023)
Deepa Krishnaswamy, Dennis Bontempi, Vamsi Thiriveedhi, Davide Punzo, David A. Clunie, Christopher P. Bridge, Hugo J. W. L. Aerts, Ron Kikinis, Andrey Fedorov
Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations. CoRR (2023)
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
Using virtual clinical trials to determine the accuracy of AI-based quantitative imaging biomarkers in oncology trials using standard-of-care CT. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Lisa C. Adams, Felix Busch, Daniel Truhn, Marcus R. Makowski, Hugo J. W. L. Aerts, Keno K. Bressem
What Does DALL-E 2 Know About Radiology? CoRR (2022)
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
Deep learning-based detection of intravenous contrast in computed tomography scans. CoRR (2021)
Roman Zeleznik, Jakob Weiss, Jana Taron, Christian Guthier, Danielle S. Bitterman, Cindy Hancox, Benjamin H. Kann, Daniel W. Kim, Rinaa S. Punglia, Jeremy Bredfeldt, Borek Foldyna, Parastou Eslami, Michael T. Lu, Udo Hoffmann, Raymond H. Mak, Hugo J. W. L. Aerts
Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer. npj Digit. Medicine 4 (2021)
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, Bjoern H. Menze, Spyridon Bakas, Andriy Fedorov, Hugo J. W. L. Aerts
ModelHub.AI: Dissemination Platform for Deep Learning Models. CoRR (2019)
Michael Schwier, Joost van Griethuysen, Mark G. Vangel, Steve Pieper, Sharon Peled, Clare M. Tempany, Hugo J. W. L. Aerts, Ron Kikinis, Fiona M. Fennessy, Andrey Fedorov
Repeatability of Multiparametric Prostate MRI Radiomics Features. CoRR (2018)
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
Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer. CoRR (2017)
Petr Smirnov, Zhaleh Safikhani, Nehme Hachem, Dong Wang, Adrian She, Catharina Olsen, Mark Freeman, Heather Selby, Deena M. A. Gendoo, Patrick Grossmann, Andrew H. Beck, Hugo J. W. L. Aerts, Mathieu Lupien, Anna Goldenberg, Benjamin Haibe-Kains
PharmacoGx: an R package for analysis of large pharmacogenomic datasets. Bioinform. 32 (8) (2016)
Tina Kapur, Steve Pieper, Andriy Fedorov, Jean-Christophe Fillion-Robin, Michael Halle, Lauren O'Donnell, Andras Lasso, Tamas Ungi, Csaba Pinter, Julien Finet, Sonia Pujol, Jagadeesan Jayender, Junichi Tokuda, Isaiah Norton, Raúl San José Estépar, David T. Gering, Hugo J. W. L. Aerts, Marianna Jakab, Nobuhiko Hata, Luiz Ibáñez, Daniel J. Blezek, Jim Miller, Stephen R. Aylward, W. Eric L. Grimson, Gabor Fichtinger, William M. Wells III, William E. Lorensen, William J. Schroeder, Ron Kikinis
Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience. Medical Image Anal. 33 (2016)
Zhaleh Safikhani, Nehme Hachem, Petr Smirnov, Mark Freeman, Anna Goldenberg, Nicolai J. Birkbak, Andrew H. Beck, Hugo J. W. L. Aerts, John Quackenbush, Benjamin Haibe-Kains
. reply. Nat. 540 (7631) (2016)
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, Stathis Kanterakis, Hector C. Keun, Vera Matser, John P. Overington, Ekaterina Pilicheva, Ugis Sarkans, Marcelo P. Segura-Lepe, Isaia Sotiriadou, Timo Wittenberger, Clemens Wittwehr, Antonella Zanzi, Jos C. S. Kleinjans
diXa: a data infrastructure for chemical safety assessment. Bioinform. 31 (9) (2015)
Simon Papillon-Cavanagh, Nicolas De Jay, Nehme Hachem, Catharina Olsen, Gianluca Bontempi, Hugo J. W. L. Aerts, John Quackenbush, Benjamin Haibe-Kains
Research and applications: Comparison and validation of genomic predictors for anticancer drug sensitivity. J. Am. Medical Informatics Assoc. 20 (4) (2013)
Benjamin Haibe-Kains, Nehme El-Hachem, Nicolai J. Birkbak, Andrew C. Jin, Andrew H. Beck, Hugo J. W. L. Aerts, John Quackenbush
Inconsistency in large pharmacogenomic studies. Nat. 504 (7480) (2013)
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, Jie Tian, Robert A. Gatenby, Robert J. Gillies
Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach. Pattern Recognit. 46 (3) (2013)
Guillaume Janssens, Jonathan Orban de Xivry, Hugo J. W. L. Aerts, Geert Bosmans, Andre L. A. J. Dekker, Benoît Macq
Improving physical behavior in image registration. ICIP (2008)