Alexander Loktyushin

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All published works

Action	Title	Year	Authors
+ PDF Chat	High‐resolution neural network‐driven mapping of multiple diffusion metrics leveraging asymmetries in the balanced steady‐state free precession frequency profile	2021	Florian Birk Felix Glang Alexander Loktyushin Christoph Birkl Philipp Ehses Klaus Scheffler Rahel Heule
+	High-resolution neural network-driven mapping of multiple diffusion metrics leveraging asymmetries in the balanced SSFP frequency profile	2021	Florian Birk Felix Glang Alexander Loktyushin Christoph Birkl Philipp Ehses Klaus Scheffler Rahel Heule
+ PDF Chat	MRzero ‐ Automated discovery of MRI sequences using supervised learning	2021	Alexander Loktyushin Kai Herz Hoai Nam Dang Felix Glang A Deshmane Simon Weinmüller Arnd Doerfler Bernhard Schölkopf Klaus Scheffler Moritz Zaiß
+	MRI zero: Fully automated invention of MRI sequences using supervised learning	2019	Alexander Loktyushin Kai Herz Felix Glang Bernhard Schölkopf Klaus Scheffler Moritz Zaiß

Common Coauthors

Coauthor	Papers Together
Klaus Scheffler	4
Felix Glang	4
Christoph Birkl	2
Florian Birk	2
Rahel Heule	2
Philipp Ehses	2
Bernhard Schölkopf	2
Kai Herz	2
Moritz Zaiß	2
Hoai Nam Dang	1
Simon Weinmüller	1
Arnd Doerfler	1
A Deshmane	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	High resolution diffusion-weighted imaging in fixed human brain using diffusion-weighted steady state free precession	2009	Jennifer A. McNab Saâd Jbabdi Sean Deoni Gwenaëlle Douaud Timothy E.J. Behrens Karla L. Miller	1
+	Practical Bayesian Optimization of Machine Learning Algorithms	2012	Jasper Snoek Hugo Larochelle Ryan P. Adams	1
+ PDF Chat	Image reconstruction by domain-transform manifold learning	2018	Bo Zhu Jeremiah Zhe Liu Stephen Cauley Bruce R. Rosen Matthew S. Rosen	1
+	A Tutorial on Bayesian Optimization	2018	Peter I. Frazier	1
+	Self-Supervised Deep Active Accelerated MRI	2019	Kyong Hwan Jin Michaël Unser Kwang Moo Yi	1
+	Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction	2019	Florian Knöll Kerstin Hammernik Chi Zhang Steen Moeller Thomas Pock Daniel K. Sodickson Mehmet Akçakaya	1
+	Learning Fast Magnetic Resonance Imaging.	2019	Tomer Weiss Sanketh Vedula Ortal Senouf Alexander M. Bronstein Oleg Michailovich Michael Zibulevsky	1
+ PDF Chat	Gibbs‐ringing artifact removal based on local subvoxel‐shifts	2015	Elias Kellner Bibek Dhital Valerij G. Kiselev Marco Reisert	1
+ PDF Chat	Better than real: Complex-valued neural nets for MRI fingerprinting	2017	Patrick Virtue Stella X. Yu Michael Lustig	1
+ PDF Chat	Deep Directional Statistics: Pose Estimation with Uncertainty Quantification	2018	Sergey Prokudin Peter Gehler Sebastian Nowozin	1
+ PDF Chat	PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI	2021	Tomer Weiss Ortal Senouf Sanketh Vedula Oleg Michailovich Michael Zibulevsky Alex Bronstein	1
+ PDF Chat	Integrating uncertainty in deep neural networks for MRI based stroke analysis	2020	Lisa Herzog Elvis Murina Oliver Dürr Susanne Wegener Beate Sick	1
+ PDF Chat	Learning-Based Optimization of the Under-Sampling Pattern in MRI	2019	Cagla Deniz Bahadir Adrian V. Dalca Mert R. Sabuncu	1
+ PDF Chat	Learning the Sampling Pattern for MRI	2020	Ferdia Sherry Martin Benning Juan Carlos De los Reyes Martin J. Graves Georg Maierhofer Guy Williams Carola‐Bibiane Schönlieb Matthias J. Ehrhardt	1
+ PDF Chat	Learning with known operators reduces maximum error bounds	2019	Andreas Maier Christopher Syben Bernhard Stimpel Tobias Würfl Mathis Hoffmann Frank Schebesch Weilin Fu Leonid Mill Lasse Kling Silke Christiansen	1
+	PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI	2019	Tomer Weiss Ortal Senouf Sanketh Vedula Oleg Michailovich Michael Zibulevsky Alex Bronstein	1