Folgen
Jeffrey Dominic
Jeffrey Dominic
Stanford University
Bestätigte E-Mail-Adresse bei stanford.edu
Titel
Zitiert von
Zitiert von
Jahr
Vascular deformation mapping for CT surveillance of thoracic aortic aneurysm growth
NS Burris, Z Bian, J Dominic, J Zhong, IB Houben, TMJ van Bakel, ...
Radiology 302 (1), 218-225, 2022
242022
Improving data-efficiency and robustness of medical imaging segmentation using inpainting-based self-supervised learning
J Dominic, N Bhaskhar, AD Desai, A Schmidt, E Rubin, B Gunel, GE Gold, ...
Bioengineering 10 (2), 207, 2023
152023
SSFD: Self-supervised feature distance as an MR image reconstruction quality metric
PM Adamson, B Gunel, J Dominic, AD Desai, D Spielman, S Vasanawala, ...
NeurIPS 2021 workshop on deep learning and inverse problems, 2021
152021
Validation of a robust method for quantification of three‐dimensional growth of the thoracic aorta using deformable image registration
Z Bian, J Zhong, J Dominic, GE Christensen, CR Hatt, NS Burris
Medical Physics 49 (4), 2514-2530, 2022
112022
Using deep feature distances for evaluating MR image reconstruction quality
PM Adamson, AD Desai, J Dominic, C Bluethgen, JP Wood, AB Syed, ...
NeurIPS 2023 workshop on deep learning and inverse problems, 2023
72023
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning
J Dominic, N Bhaskhar, AD Desai, A Schmidt, E Rubin, B Gunel, GE Gold, ...
arXiv preprint arXiv:2210.07936, 2022
12022
Using deep feature distances for evaluating the perceptual quality of MR image reconstructions
PM Adamson, AD Desai, J Dominic, M Varma, C Bluethgen, JP Wood, ...
Magnetic Resonance in Medicine, 2025
2025
Self-Supervised Deep Learning for Knee MRI Segmentation using Limited Labeled Training Datasets
J Dominic, A Desai, A Schmidt, E Rubin, G Gold, B Hargreaves, ...
SSFD: Self-Supervised Feature Distance Outperforms Conventional MR Image Reconstruction Quality Metrics
PM Adamson, J Dominic, A Desai, C Bluethgen, JP Wood, AB Syed, ...
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–9