Patrick Putzky
Patrick Putzky
Verified email at
Cited by
Cited by
Recurrent Inference Machines for Solving Inverse Problems
P Putzky, M Welling
arXiv preprint arXiv:1706.04008, 2017
Recurrent Inference Machines for Reconstructing Heterogeneous MRI Data
K L°nning, P Putzky, JJ Sonke, L Reneman, MWA Caan, M Welling
Medical Image Analysis 53, 64-78, 2019
Invert to learn to invert
P Putzky, M Welling
Advances in neural information processing systems 32, 2019
Data-driven reconstruction of gravitationally lensed galaxies using recurrent inference machines
WR Morningstar, LP Levasseur, YD Hezaveh, R Blandford, P Marshall, ...
The Astrophysical Journal 883 (1), 14, 2019
i-RIM applied to the fastMRI challenge
P Putzky, D Karkalousos, J Teuwen, N Miriakov, B Bakker, M Caan, ...
arXiv preprint arXiv:1910.08952, 2019
Analyzing interferometric observations of strong gravitational lenses with recurrent and convolutional neural networks
WR Morningstar, YD Hezaveh, LP Levasseur, RD Blandford, PJ Marshall, ...
arXiv preprint arXiv:1808.00011, 2018
Recurrent inference machines for accelerated MRI reconstruction
K L°nning, P Putzky, MWA Caan, M Welling
Medical Imaging with Deep Learning, 2022
Evaluation of the robustness of learned MR image reconstruction to systematic deviations between training and test data for the models from the fastMRI challenge
PM Johnson, G Jeong, K Hammernik, J Schlemper, C Qin, J Duan, ...
Machine Learning for Medical Image Reconstruction: 4th Internationalá…, 2021
Reconstructing missing seismic data using Deep Learning
D Kuijpers, I Vasconcelos, P Putzky
arXiv preprint arXiv:2101.09554, 2021
A Bayesian model for identifying hierarchically organised states in neural population activity
P Putzky, F Franzen, G Bassetto, JH Macke
Advances in neural information processing systems 27, 2014
Reconstructing missing seismic data through deep learning with recurrent inference machines
D Kuijpers, I Vasconcelos, P Putzky
EAGE 2020 Annual Conference & Exhibition Online 2020 (1), 1-5, 2020
Amortized inference in inverse problems
P Putzky
University of Amsterdam, 2023
Towards highly-sparse, autonomous imaging systems: high-resolution wavefield imaging for frontier exploration
I Vasconcelos, J Ruan, D Kuijpers, M Ravasi, P Putzky
EGU General Assembly Conference Abstracts, 18782, 2020
The system can't perform the operation now. Try again later.
Articles 1–13