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Derek Driggs
Derek Driggs
University of Cambridge
Підтверджена електронна адреса в cantab.ac.uk
Назва
Посилання
Посилання
Рік
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, ...
Nature Machine Intelligence 3 (3), 199-217, 2021
10442021
A stochastic proximal alternating minimization for nonsmooth and nonconvex optimization
D Driggs, J Tang, J Liang, M Davies, CB Schonlieb
SIAM Journal on Imaging Sciences 14 (4), 1932-1970, 2021
52*2021
Machine learning for COVID-19 diagnosis and prognostication: lessons for amplifying the signal while reducing the noise
D Driggs, I Selby, M Roberts, E Gkrania-Klotsas, JHF Rudd, G Yang, ...
Radiology: Artificial Intelligence 3 (4), e210011, 2021
342021
Accelerating variance-reduced stochastic gradient methods
D Driggs, MJ Ehrhardt, CB Schönlieb
Mathematical Programming, 1-45, 2022
322022
The asymptotic equivalence of fixed heat flux and fixed temperature thermal boundary conditions for rapidly rotating convection
MA Calkins, K Hale, K Julien, D Nieves, D Driggs, P Marti
Journal of Fluid Mechanics 784, R2, 2015
262015
On biased stochastic gradient estimation
D Driggs, J Liang, CB Schönlieb
Journal of Machine Learning Research 23 (24), 1-43, 2022
192022
Tensor robust principal component analysis: Better recovery with atomic norm regularization
D Driggs, S Becker, J Boyd-Graber
arXiv preprint arXiv:1901.10991, 2019
162019
Adapting regularized low-rank models for parallel architectures
D Driggs, S Becker, A Aravkin
SIAM Journal on Scientific Computing 41 (1), A163-A189, 2019
122019
collaboration A
D Driggs, I Selby, M Roberts, E Gkrania-Klotsas, JH Rudd, G Yang, ...
C. Radiological Society of North America, 2021
22021
AnySOS: An anytime algorithm for sos programming
D Driggs, H Fawzi
2019 IEEE 58th Conference on Decision and Control (CDC), 3012-3017, 2019
22019
Practical Acceleration of the Condat–Vũ Algorithm
D Driggs, MJ Ehrhardt, CB Schönlieb, J Tang
SIAM Journal on Imaging Sciences 17 (4), 2076-2109, 2024
12024
Nested Bregman Iterations for Decomposition Problems
T Wolf, D Driggs, K Papafitsoros, E Resmerita, CB Schönlieb
arXiv preprint arXiv:2409.01097, 2024
2024
P164 Using artificial intelligence to interrogate multi-national imaging datasets to determine the mechanism of COVID-19 pneumothorax
IA Selby, D Driggs, V Majcher, M Roberts, LE Sanchez, JHF Rudd, E Sala, ...
Thorax 77 (Suppl 1), A169-A170, 2022
2022
Accelerated Optimisation Algorithms for Machine Learning and Image Processing
D Driggs
2022
Fighting a Pandemic with Medical Imaging and Machine Learning: Lessons Learned from COVID-19
M Roberts, D Driggs, I Selby, E Sala, CB Schönlieb
Collections 54 (05), 2021
2021
Optimization for High-Dimensional Data Analysis
DT Driggs
University of Colorado at Boulder, 2017
2017
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