René M. Botnar

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All published works
Action Title Year Authors
+ PDF Chat Unsupervised reconstruction of accelerated cardiac cine MRI using neural fields 2024 Tabita Catalán
Matías Courdurier
Axel Osses
Anastasia Fotaki
René M. Botnar
Francisco Sahli Costabal
Claudia Prieto
+ PDF Chat KomaMRI.jl: An open‐source framework for general MRI simulations with GPU acceleration 2023 Carlos Castillo‐Passi
Ronal Coronado
Gabriel Varela‐Mattatall
Carlos Alberola‐López
René M. Botnar
Pablo Irarrázaval
+ KomaMRI.jl: An Open-Source Framework for General MRI Simulations with GPU Acceleration 2023 Carlos Castillo‐Passi
Ronal Coronado
Gabriel Varela‐Mattatall
Carlos Alberola‐López
René M. Botnar
Pablo Irarrázaval
+ Unsupervised reconstruction of accelerated cardiac cine MRI using Neural Fields 2023 Tabita Catalán
Matías Courdurier
Axel Osses
René M. Botnar
Francisco Sahli Costabal
Claudia Prieto
+ PDF Chat Complementary time‐frequency domain networks for dynamic parallel MR image reconstruction 2021 Chen Qin
Jinming Duan
Kerstin Hammernik
Jo Schlemper
Thomas Küstner
René M. Botnar
Claudia Prieto
Anthony N. Price
Joseph V. Hajnal
Daniel Rueckert
+ PDF Chat LAPNet: Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging 2021 Thomas Küstner
Jiazhen Pan
Haikun Qi
Gastão Cruz
Christopher Gilliam
Thierry Blu
Bin Yang
Sergios Gatidis
René M. Botnar
Claudia Prieto
+ Complementary Time-Frequency Domain Networks for Dynamic Parallel MR Image Reconstruction 2020 Chen Qin
Jinming Duan
Kerstin Hammernik
Jo Schlemper
Thomas Küstner
René M. Botnar
Claudia Prieto
Anthony N. Price
Joseph V. Hajnal
Daniel Rueckert
+ Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning 2019 İlkay Öksüz
Bram Ruijsink
Esther Puyol‐Antón
James R. Clough
Gastão Cruz
Aurélien Bustin
Claudia Prieto
René M. Botnar
Daniel Rueckert
Julia A. Schnabel
+ PDF Chat Magnetic Resonance Fingerprinting Using Recurrent Neural Networks 2019 İlkay Öksüz
Gastão Cruz
James R. Clough
Aurélien Bustin
Nicolo Fuin
René M. Botnar
Claudia Prieto
Andrew P. King
Julia A. Schnabel
+ Magnetic Resonance Fingerprinting using Recurrent Neural Networks 2018 İlkay Öksüz
Gastão Cruz
James R. Clough
Aurélien Bustin
Nicolo Fuin
René M. Botnar
Claudia Prieto
Andrew P. King
Julia A. Schnabel
+ Magnetic Resonance Fingerprinting using Recurrent Neural Networks 2018 İlkay Öksüz
Gastão Cruz
James R. Clough
Aurélien Bustin
Nicolo Fuin
René M. Botnar
Claudia Prieto
Andrew P. King
Julia A. Schnabel
+ Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning 2018 İlkay Öksüz
Bram Ruijsink
Esther Puyol‐Antón
James R. Clough
Gastão Cruz
Aurélien Bustin
Claudia Prieto
René M. Botnar
Daniel Rueckert
Julia A. Schnabel
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ 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
3
+ The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance 1937 Milton Friedman
2
+ PDF Chat Realistic Adversarial Data Augmentation for MR Image Segmentation 2020 Chen Chen
Chen Qin
Huaqi Qiu
Cheng Ouyang
Shuo Wang
Liang Chen
Giacomo Tarroni
Wenjia Bai
Daniel Rueckert
2
+ Comparative Study of CNN and RNN for Natural Language Processing 2017 Wenpeng Yin
Katharina Kann
Mo Yu
Hinrich Schütze
2
+ PDF Chat Real‐time cardiovascular MR with spatio‐temporal artifact suppression using deep learning–proof of concept in congenital heart disease 2018 Andreas Hauptmann
Simon Arridge
Felix Lucka
Vivek Muthurangu
Jennifer A. Steeden
2
+ PDF Chat MoDL: Model-Based Deep Learning Architecture for Inverse Problems 2018 Hemant Kumar Aggarwal
Merry Mani
Mathews Jacob
2
+ 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
2
+ PDF Chat Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems 2018 Jong Chul Ye
Yoseob Han
Eunju Cha
2
+ PDF Chat MR Image Reconstruction Using Deep Density Priors 2018 Kerem Can Tezcan
Christian F. Baumgartner
Roger Luechinger
Klaas P. Pruessmann
Ender Konukoğlu
2
+ PDF Chat VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction 2019 Jinming Duan
Jo Schlemper
Chen Qin
Cheng Ouyang
Wenjia Bai
Carlo Biffi
Ghalib Bello
Ben Statton
Declan P. O’Regan
Daniel Rueckert
2
+ PDF Chat k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations 2019 Chen Qin
Jo Schlemper
Jinming Duan
Gavin Seegoolam
Anthony N. Price
Joseph V. Hajnal
Daniel Rueckert
2
+ PDF Chat ${k}$ -Space Deep Learning for Accelerated MRI 2019 Yoseob Han
Leonard Sunwoo
Jong Chul Ye
2
+ 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
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
+ PDF Chat Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging 2017 R. H. Robinson
Vanya V. Valindria
Wenjia Bai
Hideaki Suzuki
Paul M. Matthews
Chris Page
Daniel Rueckert
Ben Glocker
1
+ PDF Chat Learning-Based Quality Control for Cardiac MR Images 2018 Giacomo Tarroni
Ozan Oktay
Wenjia Bai
Andreas Schuh
Hideaki Suzuki
Jonathan Passerat‐Palmbach
Antonio de Marvao
Declan P. O’Regan
Stuart A. Cook
Ben Glocker
1
+ PDF Chat MR fingerprinting Deep RecOnstruction NEtwork (DRONE) 2018 Ouri Cohen
Bo Zhu
Matthew S. Rosen
1
+ PDF Chat Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection 2018 İlkay Öksüz
Bram Ruijsink
Esther Puyol‐Antón
Aurélien Bustin
Gastão Cruz
Claudia Prieto
Daniel Rueckert
Julia A. Schnabel
Andrew P. King
1
+ PDF Chat On instabilities of deep learning in image reconstruction and the potential costs of AI 2020 Vegard Antun
Francesco Renna
Clarice Poon
Ben Adcock
Anders C. Hansen
1
+ PDF Chat Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding. 2019 Muhammad Usman
Siddique Latif
Muhammad Asim
Junaid Qadir
1
+ PDF Chat Geometry of Deep Learning for Magnetic Resonance Fingerprinting 2019 Mohammad Golbabaee
Dongdong Chen
Pedro A. Gómez
Marion I. Menzel
Mike E. Davies
1
+ PDF Chat Training Medical Image Analysis Systems like Radiologists 2018 Gabriel Maicas
Andrew P. Bradley
Jacinto C. Nascimento
Ian Reid
Gustavo Carneiro
1
+ PDF Chat Better than real: Complex-valued neural nets for MRI fingerprinting 2017 Patrick Virtue
Stella X. Yu
Michael Lustig
1
+ PDF Chat An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation 2018 Lorenz Berger
Hyde Eoin
M. Jorge Cardoso
Sébastien Ourselin
1
+ PDF Chat An Artificial Agent for Robust Image Registration 2017 Rui Liao
Shun Miao
Pierre de Tournemire
Saša Grbić
Ali Kamen
Tommaso Mansi
Dorin Comaniciu
1
+ PDF Chat MRF denoising with compressed sensing and adaptive filtering 2014 Zhe Wang
Qinwei Zhang
Jing Yuan
Xiaogang Wang
1
+ PDF Chat Learning-Based Compressive MRI 2018 Baran Gözcü
Rabeeh Karimi Mahabadi
Yen-Huan Li
Efe Ilıcak
Tolga Çukur
Jonathan Scarlett
Volkan Cevher
1
+ PDF Chat Left Ventricle Segmentation via Optical-Flow-Net from Short-Axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion 2018 Wenjun Yan
Yuanyuan Wang
Zeju Li
Rob J. van der Geest
Qian Tao
1
+ PDF Chat A machine-learning framework for automatic reference-free quality assessment in MRI 2018 Thomas Küstner
Sergios Gatidis
Annika Liebgott
Martin Schwartz
Lars Mauch
Petros Martirosian
H. R. Schmidt
NF Schwenzer
Konstantin Nikolaou
Fabian Bamberg
1
+ PDF Chat Non-rigid image registration using self-supervised fully convolutional networks without training data 2018 Hongming Li
Yong Fan
1
+ PDF Chat Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data 2017 Salman Khan
Munawar Hayat
Mohammed Bennamoun
Ferdous Sohel
Roberto Togneri
1
+ On the Properties of Neural Machine Translation: Encoder–Decoder Approaches 2014 Kyunghyun Cho
Bart van Merriënboer
Dzmitry Bahdanau
Yoshua Bengio
1
+ PDF Chat Motion Compensated Dynamic MRI Reconstruction With Local Affine Optical Flow Estimation 2019 Ningning Zhao
Daniel O’Connor
Adrian Basarab
Dan Ruan
Ke Sheng
1
+ PDF Chat DIMENSION: Dynamic MR imaging with both k‐space and spatial prior knowledge obtained via multi‐supervised network training 2019 Shanshan Wang
Ziwen Ke
Huitao Cheng
Sen Jia
Leslie Ying
Hairong Zheng
Dong Liang
1
+ PDF Chat Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI 2019 Gabriel Maicas
Andrew P. Bradley
Jacinto C. Nascimento
Ian Reid
Gustavo Carneiro
1
+ Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction. 2019 Jo Schlemper
Jinming Duan
Cheng Ouyang
Chen Qin
José Caballero
Joseph V. Hajnal
Daniel Rueckert
1
+ $Σ$-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction 2019 Kerstin Hammernik
Jo Schlemper
Chen Qin
Jinming Duan
Ronald M. Summers
Daniel Rueckert
1
+ PDF Chat Deep learning in medical image registration: a review 2020 Yabo Fu
Yang Lei
Tonghe Wang
Walter J. Curran
Tian Liu
Xiaofeng Yang
1
+ PDF Chat Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior 2020 Max-Heinrich Laves
Malte Tölle
Tobias Ortmaier
1
+ PDF Chat An Unsupervised Learning Model for Deformable Medical Image Registration 2018 Guha Balakrishnan
Amy Zhao
Mert R. Sabuncu
Adrian V. Dalca
John V. Guttag
1
+ PDF Chat Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural Networks 2018 Fabian Balsiger
Amaresha Shridhar Konar
Shivaprasad Ashok Chikop
Vimal Chandran
Olivier Scheidegger
Sairam Geethanath
Mauricio Reyes
1
+ PDF Chat Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI With Limited Training Data 2019 Andreas Kofler
Marc Dewey
Tobias Schaeffter
Christian Wald
Christoph Kolbitsch
1
+ PDF Chat NIMA: Neural Image Assessment 2018 Hossein Talebi
Peyman Milanfar
1
+ An overview of deep learning in medical imaging focusing on MRI 2018 Alexander Selvikvåg Lundervold
Arvid Lundervold
1
+ PDF Chat CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance 2017 Andrew Jesson
Nicolas Guizard
Sina Hamidi Ghalehjegh
Damien Goblot
Florian Soudan
Nicolas Chapados
1
+ PDF Chat MR-MOTUS: model-based non-rigid motion estimation for MR-guided radiotherapy using a reference image and minimal <i>k</i>-space data 2019 Niek R. F. Huttinga
Cornelis A. T. van den Berg
Peter R. Luijten
Alessandro Sbrizzi
1
+ PDF Chat Improving the Generalizability of Convolutional Neural Network-Based Segmentation on CMR Images 2020 Chen Chen
Wenjia Bai
Rhodri Davies
Anish Bhuva
Charlotte Manisty
João B. Augusto
James Moon
Nay Aung
Aaron M. Lee
Mihir M. Sanghvi
1
+ PDF Chat ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms 2022 Hemant Kumar Aggarwal
Aniket Pramanik
Maneesh John
Mathews Jacob
1
+ 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
1
+ PDF Chat MRIReco.jl: An MRI reconstruction framework written in Julia 2021 Tobias Knopp
Mirco Grosser
1