Aurélien Bustin

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All published works
Action Title Year Authors
+ Pilot tone-guided focused navigation for free-breathing whole-liver fat-water and T2* quantification 2023 Adèle Mackowiak
Christopher W. Roy
Mariana Falcão
Mario Bacher
Aurélien Bustin
Jérôme Yerly
Peter Speier
Matthias Stuber
Naïk Vietti Violi
Jessica Bastiaansen
+ PDF Chat Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation 2020 İlkay Öksüz
James R. Clough
Bram Ruijsink
Esther Puyol Antón
Aurélien Bustin
Gastão Cruz
Claudia Prieto
Andrew P. King
Julia A. Schnabel
+ Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation 2019 İlkay Öksüz
James R. Clough
Bram Ruijsink
Esther Puyol Antón
Aurélien Bustin
Gastão Cruz
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 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
+ Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space 2019 lkay Oksuz
James R. Clough
Bram Ruijsink
Esther Puyol‐Antón
Aurélien Bustin
Gastão Cruz
Claudia Prieto
Daniel Rueckert
Andrew P. King
Julia A. Schnabel
+ Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation 2019 İlkay Öksüz
James R. Clough
Bram Ruijsink
Esther Puyol Antón
Aurélien Bustin
Gastão Cruz
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
+ 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
+ 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
+ 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
+ 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
+ PDF Chat Motion Estimated-Compensated Reconstruction with Preserved-Features in Free-Breathing Cardiac MRI 2017 Aurélien Bustin
Anne Menini
Martin Janich
Darius Burschka
Jacques Felblinger
Anja Brau
Freddy Odille
+ Motion Estimated-Compensated Reconstruction with Preserved-Features in Free-Breathing Cardiac MRI 2016 Aurélien Bustin
Anne Menini
Martin Janich
Darius Burschka
Jacques Felblinger
Anja Brau
Freddy Odille
+ Motion Estimated-Compensated Reconstruction with Preserved-Features in Free-Breathing Cardiac MRI 2016 Aurélien Bustin
Anne Menini
Martin Janich
Darius Burschka
Jacques Felblinger
Anja Brau
Freddy Odille
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Learning Spatiotemporal Features with 3D Convolutional Networks 2015 Du Tran
Lubomir Bourdev
Rob Fergus
Lorenzo Torresani
Manohar Paluri
6
+ 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
+ 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
3
+ 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
3
+ 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
3
+ 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
3
+ 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
3
+ 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
3
+ PDF Chat Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network 2019 Liyan Sun
Zhiwen Fan
Xinghao Ding
Yue Huang
John Paisley
2
+ PDF Chat A survey on deep learning in medical image analysis 2017 Geert Litjens
Thijs Kooi
Babak Ehteshami Bejnordi
Arnaud Arindra Adiyoso Setio
Francesco Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
Clara I. Sá‎nchez
2
+ PDF Chat Automated cardiovascular magnetic resonance image analysis with fully convolutional networks 2018 Wenjia Bai
Matthew Sinclair
Giacomo Tarroni
Ozan Oktay
Martin Rajchl
Ghislain Vaillant
Aaron M. Lee
Nay Aung
Elena Lukaschuk
Mihir M. Sanghvi
2
+ PDF Chat CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-view CNN 2017 Aliasghar Mortazi
Rashed Karim
Kawal Rhode
Jeremy R. Burt
Ulaş Bağcı
2
+ Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation 2017 Ozan Oktay
Enzo Ferrante
Konstantinos Kamnitsas
Mattias P. Heinrich‬
Wenjia Bai
José Caballero
Stuart A. Cook
Antonio de Marvao
Timothy J. W. Dawes
Declan P. O’Regan
2
+ Segmentation-Aware Image Denoising without Knowing True Segmentation 2019 Sicheng Wang
Bihan Wen
Junru Wu
Dacheng Tao
Zhangyang Wang
2
+ PDF Chat Brain Segmentation from k-Space with End-to-End Recurrent Attention Network 2019 Qiaoying Huang
Xiaohong Chen
Dimitris Metaxas
Mariappan S. Nadar
2
+ PDF Chat ${k}$ -Space Deep Learning for Accelerated MRI 2019 Yoseob Han
Leonard Sunwoo
Jong Chul Ye
2
+ When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach 2018 Ding Liu
Bihan Wen
Xianming Liu
Zhangyang Wang
Thomas Huang
2
+ Comparative Study of CNN and RNN for Natural Language Processing 2017 Wenpeng Yin
Katharina Kann
Mo Yu
Hinrich Schütze
2
+ 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
+ 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
+ Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space 2019 lkay Oksuz
James R. Clough
Bram Ruijsink
Esther Puyol‐Antón
Aurélien Bustin
Gastão Cruz
Claudia Prieto
Daniel Rueckert
Andrew P. King
Julia A. Schnabel
1
+ PDF Chat NIMA: Neural Image Assessment 2018 Hossein Talebi
Peyman Milanfar
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 MRF denoising with compressed sensing and adaptive filtering 2014 Zhe Wang
Qinwei Zhang
Jing Yuan
Xiaogang Wang
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 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
+ Deep learning for undersampled MRI reconstruction 2018 Chang Min Hyun
Hwa Pyung Kim
Sung Min Lee
Sung Chul Lee
Jin Keun Seo
1
+ Scikit-learn: Machine Learning in Python 2012 Fabián Pedregosa
Gaël Varoquaux
Alexandre Gramfort
Vincent Michel
Bertrand Thirion
Olivier Grisel
Mathieu Blondel
Peter Prettenhofer
Ron J. Weiss
Vincent Dubourg
1
+ PDF Chat Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information 2006 Emmanuel J. Candès
Justin Romberg
Terence Tao
1
+ On the Properties of Neural Machine Translation: Encoder-Decoder Approaches 2014 Kyunghyun Cho
Bart van Merriënboer
Dzmitry Bahdanau
Yoshua Bengio
1
+ Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach 1988 Elizabeth R. DeLong
David M. DeLong
Daniel L. Clarke‐Pearson
1
+ Long-Term Recurrent Convolutional Networks for Visual Recognition and Description 2016 Jeff Donahue
Lisa Anne Hendricks
Marcus Rohrbach
Subhashini Venugopalan
Sergio Guadarrama
Kate Saenko
Trevor Darrell
1
+ PDF Chat Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising 2017 Kai Zhang
Wangmeng Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
1
+ PDF Chat Curriculum learning of multiple tasks 2015 Anastasia Pentina
Viktoriia Sharmanska
Christoph H. Lampert
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
+ Wide Inference Network for Image Denoising. 2017 Peng Liu
Ruogu Fang
1
+ Wide Inference Network for Image Denoising via Learning Pixel-distribution Prior 2017 Peng Liu
Ruogu Fang
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
+ PDF Chat MR fingerprinting Deep RecOnstruction NEtwork (DRONE) 2018 Ouri Cohen
Bo Zhu
Matthew S. Rosen
1
+ k-Space Deep Learning for Accelerated MRI 2018 Yoseob Han
Leonard Sunwoo
Jong Chul Ye
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 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