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Dave Van Veen
Dave Van Veen
PhD Student, Stanford University
Zweryfikowany adres z utexas.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Compressed sensing with deep image prior and learned regularization
D Van Veen, A Jalal, M Soltanolkotabi, E Price, S Vishwanath, ...
arXiv preprint arXiv:1806.06438, 2018
1602018
Bacon: Band-limited coordinate networks for multiscale scene representation
DB Lindell, D Van Veen, JJ Park, G Wetzstein
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
312022
Compressed sensing with deep image prior and learned regularization. arXiv 2018
D Van Veen, A Jalal, M Soltanolkotabi, E Price, S Vishwanath, ...
arXiv preprint arXiv:1806.06438, 0
7
Design Considerations for High Impact, Automated Echocardiogram Analysis
W Toussaint, D Van Veen, C Irwin, Y Nachmany, M Barreiro-Perez, ...
arXiv preprint arXiv:2006.06292, 2020
12020
Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks
D Van Veen, R Van der Sluijs, B Ozturkler, A Desai, C Bluethgen, ...
arXiv preprint arXiv:2210.08676, 2022
2022
Real-Time Video Denoising to Reduce Ionizing Radiation Exposure in Fluoroscopic Imaging
D Van Veen, BA Duffy, L Wang, K Datta, T Zhang, G Zaharchuk, E Gong
Machine Learning for Medical Image Reconstruction: 4th International …, 2021
2021
BACON: Band-limited Coordinate Networks for Multiscale Scene Representation Supplemental Material
DB Lindell, D Van Veen, JJ Park, G Wetzstein
Using Untrained Convolutional Neural Networks to Accelerate MRI in 2D and 3D
D Van Veen, A Desai, R Heckel, AS Chaudhari
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Prace 1–8