Jonas Adler
Jonas Adler
Senior Research Scientist, Google DeepMind
Bestätigte E-Mail-Adresse bei google.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Learned primal-dual reconstruction
J Adler, O Öktem
IEEE transactions on medical imaging, 2018
3862018
Solving ill-posed inverse problems using iterative deep neural networks
J Adler, O Öktem
Inverse Problems 33 (12), 124007, 2017
3642017
Highly accurate protein structure prediction with AlphaFold
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ...
Nature 596 (7873), 583-589, 2021
2602021
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
1782018
Banach Wasserstein GAN
J Adler, S Lunz
Neural Information Processing Systems, 2018
932018
Operator Discretization Library (ODL)
J Adler, H Kohr, O Öktem
Software available from https://github. com/odlgroup/odl, 2017
77*2017
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
732020
Highly accurate protein structure prediction for the human proteome
K Tunyasuvunakool, J Adler, Z Wu, T Green, M Zielinski, A Žídek, ...
Nature 596 (7873), 590-596, 2021
612021
Deep Bayesian Inversion
J Adler, O Öktem
arXiv preprint arXiv:1811.05910, 2018
592018
Computational predictions of protein structures associated with COVID-19
J Jumper, K Tunyasuvunakool, P Kohli, D Hassabis, the AlphaFold Team
DeepMind website, 2020
56*2020
Learning to solve inverse problems using Wasserstein loss
J Adler, A Ringh, O Öktem, J Karlsson
NIPS 2017 Optimal Transport and Machine Learning, 2017
272017
Task adapted reconstruction for inverse problems
J Adler, S Lunz, O Verdier, CB Schönlieb, O Öktem
Inverse Problems, 2021
152021
Data-driven nonsmooth optimization
S Banert, A Ringh, J Adler, J Karlsson, O Oktem
SIAM Journal on Optimization 30 (1), 102-131, 2020
132020
Multi-scale learned iterative reconstruction
A Hauptmann, J Adler, S Arridge, O Öktem
IEEE transactions on computational imaging 6, 843-856, 2020
112020
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
Inferring a continuous distribution of atom coordinates from cryo-EM images using VAEs
D Rosenbaum, M Garnelo, M Zielinski, C Beattie, E Clancy, A Huber, ...
arXiv preprint arXiv:2106.14108, 2021
72021
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
72021
Deep posterior sampling: Uncertainty quantification for large scale inverse problems
J Adler, O Öktem
MIDL 2019 -- Extended Abstract Track, 2019
62019
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
Modality-agnostic method for medical image representation
JO Sjölund, JA Adler
US Patent 10,762,398, 2020
42020
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