Jonas Adler
Jonas Adler
Senior Research Scientist, Google DeepMind
Verifierad e-postadress på google.com - Startsida
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Learned primal-dual reconstruction
J Adler, O Öktem
IEEE transactions on medical imaging, 2018
3122018
Solving ill-posed inverse problems using iterative deep neural networks
J Adler, O Öktem
Inverse Problems 33 (12), 124007, 2017
3042017
Model-based learning for accelerated, limited-view 3-d photoacoustic tomography
A Hauptmann, F Lucka, M Betcke, N Huynh, J Adler, B Cox, P Beard, ...
IEEE transactions on medical imaging 37 (6), 1382-1393, 2018
1422018
Banach Wasserstein GAN
J Adler, S Lunz
Neural Information Processing Systems, 2018
752018
Operator Discretization Library (ODL)
J Adler, H Kohr, O Öktem
Software available from https://github. com/odlgroup/odl, 2017
60*2017
Deep Bayesian Inversion
J Adler, O Öktem
arXiv preprint arXiv:1811.05910, 2018
442018
Computational predictions of protein structures associated with COVID-19
J Jumper, K Tunyasuvunakool, P Kohli, D Hassabis, the AlphaFold Team
DeepMind website, 2020
41*2020
High Accuracy Protein Structure Prediction Using Deep Learning
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, K Tunyasuvunakool, ...
Fourteenth Critical Assessment of Techniques for Protein Structure Prediction, 2020
282020
Learning to solve inverse problems using Wasserstein loss
J Adler, A Ringh, O Öktem, J Karlsson
arXiv preprint arXiv:1710.10898, 2017
232017
Task adapted reconstruction for inverse problems
J Adler, S Lunz, O Verdier, CB Schönlieb, O Öktem
arXiv preprint arXiv:1809.00948, 2018
142018
EDS tomographic reconstruction regularized by total nuclear variation joined with HAADF-STEM tomography
Z Zhong, WJ Palenstijn, J Adler, KJ Batenburg
Ultramicroscopy 191, 34-43, 2018
102018
Data-driven nonsmooth optimization
S Banert, A Ringh, J Adler, J Karlsson, O Oktem
SIAM Journal on Optimization 30 (1), 102-131, 2020
92020
Multi-scale learned iterative reconstruction
A Hauptmann, J Adler, SR Arridge, O Oktem
IEEE Transactions on Computational Imaging, 2020
82020
Deep learning framework for digital breast tomosynthesis reconstruction
N Moriakov, K Michielsen, J Adler, R Mann, I Sechopoulos, J Teuwen
Medical Imaging 2019: Physics of Medical Imaging 10948, 1094804, 2019
62019
Deep posterior sampling: Uncertainty quantification for large scale inverse problems
J Adler, O Öktem
International Conference on Medical Imaging with Deep Learning--Extended …, 2019
42019
Modality-agnostic method for medical image representation
JO Sjölund, JA Adler
US Patent 10,762,398, 2020
32020
On the unreasonable effectiveness of CNNs
A Hauptmann, J Adler
arXiv preprint arXiv:2007.14745, 2020
32020
Posterior image sampling using statistical learning model
JA Adler, O Öktem
US Patent 10,672,153, 2020
22020
A unified representation network for segmentation with missing modalities
K Lau, J Adler, J Sjölund
arXiv preprint arXiv:1908.06683, 2019
22019
Exploiting prior knowledge about biological macromolecules in cryo-EM structure determination
D Kimanius, G Zickert, T Nakane, J Adler, S Lunz, CB Schönlieb, O Öktem, ...
IUCrJ 8 (1), 2021
12021
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Artiklar 1–20