Hugo J. W. L. Aerts
Orcid: 0000-0002-2122-2003Affiliations:
- Harvard Medical School, Boston, MA, USA
According to our database1,
Hugo J. W. L. Aerts
authored at least 27 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Expert Syst. Appl., March, 2024
Large language models to identify social determinants of health in electronic health records.
npj Digit. Medicine, 2024
Magnetic resonance delta radiomics to track radiation response in lung tumors receiving stereotactic MRI-guided radiotherapy.
CoRR, 2024
2023
SegmentationReview: A Slicer3D extension for fast review of AI-generated segmentations.
Softw. Impacts, September, 2023
Dual center validation of deep learning for automated multi-label segmentation of thoracic anatomy in bedside chest radiographs.
Comput. Methods Programs Biomed., June, 2023
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.
CoRR, 2023
Large Language Models to Identify Social Determinants of Health in Electronic Health Records.
CoRR, 2023
Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations.
CoRR, 2023
CoRR, 2023
Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy.
CoRR, 2023
2022
Using virtual clinical trials to determine the accuracy of AI-based quantitative imaging biomarkers in oncology trials using standard-of-care CT.
Proceedings of the Medical Imaging 2022: Image Perception, 2022
2021
Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer.
npj Digit. Medicine, 2021
CoRR, 2021
2019
2018
2017
CoRR, 2017
2016
Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience.
Medical Image Anal., 2016
Bioinform., 2016
2015
2013
Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach.
Pattern Recognit., 2013
Research and applications: Comparison and validation of genomic predictors for anticancer drug sensitivity.
J. Am. Medical Informatics Assoc., 2013
2008
Proceedings of the International Conference on Image Processing, 2008