Joshua D. Warner
Orcid: 0000-0003-3579-4835
According to our database1,
Joshua D. Warner authored at least 32 papers
between 2014 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Opportunistic Promptable Segmentation: Leveraging Routine Radiological Annotations to Guide 3D CT Lesion Segmentation.
CoRR, February, 2026
Toward protocol simplification: Deep learning-based image synthesis in three-phase CT urography.
Comput. Biol. Medicine, 2026
2025
PETAR: Localized Findings Generation with Mask-Aware Vision-Language Modeling for PET Automated Reporting.
CoRR, October, 2025
From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification.
CoRR, May, 2025
3D Nephrographic Image Synthesis in CT Urography with the Diffusion Model and Swin Transformer.
CoRR, February, 2025
CoRR, February, 2025
J. Imaging Inform. Medicine, 2025
2024
ResNCT: A Deep Learning Model for the Synthesis of Nephrographic Phase Images in CT Urography.
CoRR, 2024
2022
2021
2020
2019
2017
Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.13.0.
Dataset, May, 2017
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
2016
Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.12.0-rc1.
Dataset, April, 2016
2014
Supervised Segmentation of Polycystic Kidneys: a New Application for Stereology Data.
J. Digit. Imaging, 2014
Proceedings of the Medical Imaging 2014: Image Processing, 2014