George Yiasemis

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All published works

Action	Title	Year	Authors
+ PDF Chat	Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI	2024	George Yiasemis Jan‐Jakob Sonke Jonas Teuwen
+ PDF Chat	Deep Multi-contrast Cardiac MRI Reconstruction via vSHARP with Auxiliary Refinement Network	2024	George Yiasemis Nikita Moriakov Jan‐Jakob Sonke Jonas Teuwen
+ PDF Chat	The state-of-the-art in Cardiac MRI Reconstruction: Results of the CMRxRecon Challenge in MICCAI 2023	2024	Jun Lyu Qin Chen Shuo Wang Fanwen Wang Yan Li Zi Wang Kunyuan Guo Cheng Ouyang Michael Tänzer Meng Liu
+ PDF Chat	End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI	2024	George Yiasemis Jan‐Jakob Sonke Jonas Teuwen
+ PDF Chat	On retrospective k-space subsampling schemes for deep MRI reconstruction	2024	George Yiasemis Clara I. Sá‎nchez Jan‐Jakob Sonke Jonas Teuwen
+	On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction	2023	George Yiasemis Clara I. Sá‎nchez Jan‐Jakob Sonke Jonas Teuwen
+	vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems	2023	George Yiasemis Nikita Moriakov Jan‐Jakob Sonke Jonas Teuwen
+	Deep Cardiac MRI Reconstruction with ADMM	2023	George Yiasemis Nikita Moriakov Jan‐Jakob Sonke Jonas Teuwen
+	JSSL: Joint Supervised and Self-supervised Learning for MRI Reconstruction	2023	George Yiasemis Nikita Moriakov Clara I. Sá‎nchez Jan‐Jakob Sonke Jonas Teuwen
+ PDF Chat	Multi-Coil MRI Reconstruction Challenge—Assessing Brain MRI Reconstruction Models and Their Generalizability to Varying Coil Configurations	2022	Youssef Beauferris Jonas Teuwen Dimitrios Karkalousos Nikita Moriakov Matthan W.A. Caan George Yiasemis Lívia Rodrigues Alexandre Lopes Hélio Pedrini Letícia Rittner
+ PDF Chat	Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction	2022	George Yiasemis Jan‐Jakob Sonke Clarisa Sánchez Jonas Teuwen
+ PDF Chat	Deep MRI reconstruction with radial subsampling	2022	George Yiasemis Chaoping Zhang Clara I. Sá‎nchez Jan‐Jakob Sonke Jonas Teuwen
+	Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction	2021	George Yiasemis Jan‐Jakob Sonke Clarisa Sánchez Jonas Teuwen
+	Multi-Coil MRI Reconstruction Challenge -- Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil Configurations	2020	Youssef Beauferris Jonas Teuwen Dimitrios Karkalousos Nikita Moriakov Mattha Caan George Yiasemis Lívia Rodrigues Alexandre Días Lópes Hélio Pedrini Letícia Rittner

Common Coauthors

Coauthor	Papers Together
Jonas Teuwen	14
Jan‐Jakob Sonke	11
Nikita Moriakov	6
Clara I. Sá‎nchez	4
Nikita Nogovitsyn	2
Hélio Pedrini	2
Wallace Loos	2
Jaya Chandra Raju	2
Mike Lasby	2
Maik Dannecker	2
Mohanasankar Sivaprakasam	2
Clarisa Sánchez	2
Lívia Rodrigues	2
Youssef Beauferris	2
Shahrooz Faghihroohi	2
Dimitrios Karkalousos	2
Letícia Rittner	2
Amrit Kumar Jethi	2
Fabian Gröger	2
Richard Frayne	2
Ying‐Hua Chu	1
Artem Razumov	1
Viktor Studenyak	1
Carles Garcia-Cabrera	1
Roberto Martins de Souza	1
Devendra Vyas	1
Bingyu Xin	1
Chengyan Wang	1
Dou Quan	1
Yanwei Pang	1
Yuyang Xue	1
Sha Hua	1
Cheng Ouyang	1
Alexandre Lopes	1
Ziad Al-Haj Hemidi	1
Ziqiang Xu	1
Hao Li	1
He Wang	1
Shuo Wang	1
Liping Zhang	1
Guang Yang	1
Yan Li	1
Meng Liu	1
Yajing Zhang	1
Qin Li	1
Yan Kang	1
Xiaohan Liu	1
Zi Wang	1
Chaoping Zhang	1
Zhenlin Zhang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	fastMRI: An Open Dataset and Benchmarks for Accelerated MRI	2018	Jure Žbontar Florian Knöll Anuroop Sriram Matthew J. Muckley Mary Bruno Aaron Defazio Marc Parente Krzysztof J. Geras Joe Katsnelson Hersh Chandarana	4
+	Learning a variational network for reconstruction of accelerated MRI data	2017	Kerstin Hammernik Teresa Klatzer Erich Kobler Michael P. Recht Daniel K. Sodickson Thomas Pock Florian Knöll	4
+	Compressed sensing	2006	David L. Donoho	3
+	Communication in the Presence of Noise	1949	Claude E. Shannon	2
+ PDF Chat	Multi-Coil MRI Reconstruction Challenge—Assessing Brain MRI Reconstruction Models and Their Generalizability to Varying Coil Configurations	2022	Youssef Beauferris Jonas Teuwen Dimitrios Karkalousos Nikita Moriakov Matthan W.A. Caan George Yiasemis Lívia Rodrigues Alexandre Lopes Hélio Pedrini Letícia Rittner	2
+	Statistical and Computational Inverse Problems	2005	Jari P. Kaipio Erkki Somersalo	2
+	LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space	2019	Tae Hyung Kim Pratyush Garg Justin P. Haldar	2
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	2
+ PDF Chat	Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction	2018	Chen Qin Jo Schlemper José Caballero Anthony N. Price Joseph V. Hajnal Daniel Rueckert	2
+	Recurrent Inference Machines for Solving Inverse Problems	2017	Patrick Putzky Max Welling	2
+	A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction	2017	Jo Schlemper José Caballero Joseph V. Hajnal Anthony N. Price Daniel Rueckert	2
+ PDF Chat	Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction	2021	Matthew J. Muckley Bruno Riemenschneider Alireza Radmanesh Sunwoo Kim Geunu Jeong Jingyu Ko Yohan Jun Hyungseob Shin Dosik Hwang Mahmoud Mostapha	2
+	Deep learning for undersampled MRI reconstruction	2018	Chang Min Hyun Hwa Pyung Kim Sung Min Lee Sung Chul Lee Jin Keun Seo	2
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	2
+ PDF Chat	Dual-domain cascade of U-nets for multi-channel magnetic resonance image reconstruction	2020	Roberto Souza Mariana Bento Nikita Nogovitsyn Kevin J. Chung Wallace Loos R. Marc Lebel Richard Frayne	2
+ PDF Chat	Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks	2018	Dongwook Lee Jaejun Yoo Sungho Tak Jong Chul Ye	1
+	Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks	2019	Dong Liang Jing Cheng Ziwen Ke Leslie Ying	1
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	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	A Review of Domain Adaptation without Target Labels	2019	Wouter M. Kouw Marco Loog	1
+ PDF Chat	A Hybrid Frequency-Domain/Image-Domain Deep Network for Magnetic Resonance Image Reconstruction	2019	Roberto Souza Richard Frayne	1
+ PDF Chat	Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge	2020	Florian Knöll Tullie Murrell Anuroop Sriram Nafissa Yakubova Jure Žbontar Michael Rabbat Aaron Defazio Matthew J. Muckley Daniel K. Sodickson C. Lawrence Zitnick	1
+	End-to-End Variational Networks for Accelerated MRI Reconstruction	2020	Anuroop Sriram Jure Žbontar Tullie Murrell Aaron Defazio C. Lawrence Zitnick Nafissa Yakubova Florian Knöll Patricia M. Johnson	1
+ PDF Chat	GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction	2020	Anuroop Sriram Jure Žbontar Tullie Murrell C. Lawrence Zitnick Aaron Defazio Daniel K. Sodickson	1
+ PDF Chat	DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior	2020	Bo Zhou S. Kevin Zhou	1
+	Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms	2020	Seyed Amir Hossein Hosseini Burhaneddin Yaman Steen Moeller Mingyi Hong Mehmet Akçakaya	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	End-to-End Variational Networks for Accelerated MRI Reconstruction	2020	Anuroop Sriram Jure Žbontar Tullie Murrell Aaron Defazio C. Lawrence Zitnick Nafissa Yakubova Florian Knöll Patricia A. Johnson	1
+	XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge	2020	Zaccharie Ramzi Philippe Ciuciu Jean‐Luc Starck	1
+	Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils.	2020	Youssef Beauferris Jonas Teuwen Dimitrios Karkalousos Nikita Moriakov Matthan W.A. Caan Lívia Rodrigues Alexandre Lopes Hélio Pedrini Letícia Rittner Maik Dannecker	1
+ PDF Chat	MoDL: Model-Based Deep Learning Architecture for Inverse Problems	2018	Hemant Kumar Aggarwal Merry Mani Mathews Jacob	1
+ PDF Chat	Learned Primal-Dual Reconstruction	2018	Jonas Adler Ozan Öktem	1
+	XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge.	2020	Zaccharie Ramzi Philippe Ciuciu Jean‐Luc Starck	1
+ PDF Chat	Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction	2022	George Yiasemis Jan‐Jakob Sonke Clarisa Sánchez Jonas Teuwen	1
+	On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction	2022	Tim Bakker Matthew J. Muckley Adriana Romero-Soriano Michal Drozdzal Luis Villaseñor-Pineda	1
+	Multi-Coil MRI Reconstruction Challenge -- Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil Configurations	2020	Youssef Beauferris Jonas Teuwen Dimitrios Karkalousos Nikita Moriakov Mattha Caan George Yiasemis Lívia Rodrigues Alexandre Días Lópes Hélio Pedrini Letícia Rittner	1
+	Experimental design for MRI by greedy policy search	2020	Tim Bakker Herke van Hoof Max Welling	1
+	i-RIM applied to the fastMRI challenge	2019	Patrick Putzky Dimitrios Karkalousos Jonas Teuwen Nikita Miriakov Bart Bakker Matthan W.A. Caan Max Welling	1
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James T. Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	1
+	Communications on Pure and Applied Mathematics	2006		1
+	Parallel Magnetic Resonance Imaging	2015	Martin Uecker	1
+ PDF Chat	Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks	2023	Wei Peng Feng Li Guoying Zhao Fang Liu	1
+	Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting	2015	Xingjian Shi Zhourong Chen Hao Wang Dit‐Yan Yeung Wai Kin Wong Wang‐chun Woo	1
+	CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction	2023	Chengyan Wang Jun Lyu Shuo Wang Qin Chen Kunyuan Guo Xinyu Zhang Xiaotong Yu Yan Li Fanwen Wang Jianhua Jin	1
+	Regularization methods in dynamic MRI	2002	Elena Loli Piccolomini Fabiana Zama Gaetano Zanghirati Andreas Robert Formiconi	1
+ PDF Chat	Stable signal recovery from incomplete and inaccurate measurements	2006	Emmanuel J. Candès Justin Romberg Terence Tao	1
+ PDF Chat	Deep Convolutional Neural Network for Inverse Problems in Imaging	2017	Kyong Hwan Jin Michael T. McCann Emmanuel Froustey Michaël Unser	1
+ PDF Chat	Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection	2017	Emre Çakır Giambattista Parascandolo Toni Heittola Heikki Huttunen Tuomas Virtanen	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
+	Deep De-Aliasing for Fast Compressive Sensing MRI	2017	Simiao Yu Hao Dong Guang Yang Greg Slabaugh Pier Luigi Dragotti Xujiong Ye Fangde Liu Simon Arridge Jennifer Keegan David Firmin	1