Alexander Thorley

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All published works
Action Title Year Authors
+ PDF Chat Development of automated neural network prediction for echocardiographic left ventricular ejection fraction 2024 Yuting Zhang
Boyang Liu
Karina V Bunting
David Brind
Alexander Thorley
Andreas Karwath
Wenqi Lu
Diwei Zhou
Xiaoxia Wang
Alastair Mobley
+ PDF Chat Development of Automated Neural Network Prediction for Echocardiographic Left ventricular Ejection Fraction 2024 Yuting Zhang
Boyang Liu
Karina V Bunting
David Brind
Alexander Thorley
Andreas Karwath
Wenqi Lu
Diwei Zhou
Xiaoxia Wang
Alastair Mobley
+ Fourier-Net+: Leveraging Band-Limited Representation for Efficient 3D Medical Image Registration 2023 Xi Jia
Alexander Thorley
Alberto Gómez
Wenqi Lu
Dipak Kotecha
Jinming Duan
+ PDF Chat Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning 2022 Alessa Hering
Lasse Hansen
Tony C. W. Mok
Albert C. S. Chung
Hanna Siebert
Stephanie Häger
Annkristin Lange
Sven Kuckertz
Stefan Heldmann
Wei Shao
+ PDF Chat Learning a Model-Driven Variational Network for Deformable Image Registration 2021 Xi Jia
Alexander Thorley
Wei Chen
Huaqi Qiu
Linlin Shen
Iain B. Styles
Hyung Jin Chang
Aleš Leonardis
Antonio de Marvao
Declan P. O’Regan
+ PDF Chat Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration 2021 Alexander Thorley
Xi Jia
Hyung Jin Chang
Boyang Liu
Karina V Bunting
Victoria Stoll
Antonio de Marvao
Declan P. O’Regan
Georgios V. Gkoutos
Dipak Kotecha
+ Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration 2021 Alexander Thorley
Xi Jia
Hyung Jin Chang
Boyang Liu
Karina V Bunting
Victoria Stoll
Antonio de Marvao
Declan P. O’Regan
Georgios V. Gkoutos
Dipak Kotecha
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces 2019 Adrian V. Dalca
Guha Balakrishnan
John Guttag
Mert R. Sabuncu
3
+ PDF Chat Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks 2020 Tony C. W. Mok
Albert C. S. Chung
3
+ PDF Chat Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach 2019 Jinming Duan
Ghalib Bello
Jo Schlemper
Wenjia Bai
Timothy J. W. Dawes
Carlo Biffi
Antonio de Marvao
Georgia Doumoud
Declan P. O’Regan
Daniel Rueckert
3
+ PDF Chat VoxelMorph: A Learning Framework for Deformable Medical Image Registration 2019 Guha Balakrishnan
Amy Zhao
Mert R. Sabuncu
John V. Guttag
Adrian V. Dalca
3
+ PDF Chat Fast Alternating Direction Optimization Methods 2014 Tom Goldstein
Brendan O’Donoghue
Simon Setzer
Richard G. Baraniuk
2
+ Quicksilver: Fast predictive image registration – A deep learning approach 2017 Xiao Yang
Roland Kwitt
Martin Styner
Marc Niethammer
2
+ PDF Chat DeepFLASH: An Efficient Network for Learning-Based Medical Image Registration 2020 Jian Wang
Miaomiao Zhang
2
+ A Log-Euclidean Framework for Statistics on Diffeomorphisms 2006 Vincent Arsigny
Olivier Commowick
Xavier Pennec
Nicholas Ayache
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
1
+ PDF Chat Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences 2018 Chen Qin
Wenjia Bai
Jo Schlemper
Steffen E. Petersen
Stefan K. Piechnik
Stefan Neubauer
Daniel Rueckert
1
+ Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration 2018 Jun Zhang
1
+ PDF Chat A deep learning framework for unsupervised affine and deformable image registration 2018 Bob D. de Vos
Floris F. Berendsen
Max A. Viergever
Hessam Sokooti
Marius Staring
Ivana Išgum
1
+ PDF Chat A New Variational Model for Joint Image Reconstruction and Motion Estimation in Spatiotemporal Imaging 2019 Chong Chen
Barbara Gris
Ozan Öktem
1
+ PDF Chat Learning a Probabilistic Model for Diffeomorphic Registration 2019 Julian Krebs
Hervé Delingette
Boris Mailhé
Nicholas Ayache
Tommaso Mansi
1
+ PDF Chat End-to-End Learning of Motion Representation for Video Understanding 2018 Lijie Fan
Wenbing Huang
Chuang Gan
Stefano Ermon
Boqing Gong
Junzhou Huang
1
+ PDF Chat PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume 2018 Deqing Sun
Xiaodong Yang
Ming-Yu Liu
Jan Kautz
1
+ Multi-Scale Context Aggregation by Dilated Convolutions 2015 Fisher Yu
Vladlen Koltun
1
+ PDF Chat Recursive Cascaded Networks for Unsupervised Medical Image Registration 2019 Shengyu Zhao
Yue Dong
Eric Chang
Yan Xu
1
+ PDF Chat Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge 2019 Yiming Xiao
Hassan Rivaz
Matthieu Chabanas
Maryse Fortin
Inês Machado
Yangming Ou
Mattias P. Heinrich‬
Julia A. Schnabel
Xia Zhong
Andreas Maier
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 Closing the Gap Between Deep and Conventional Image Registration Using Probabilistic Dense Displacement Networks 2019 Mattias P. Heinrich‬
1
+ 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
1
+ PDF Chat mlVIRNET: Multilevel Variational Image Registration Network 2019 Alessa Hering
Bram van Ginneken
Stefan Heldmann
1
+ PDF Chat Image-and-Spatial Transformer Networks for Structure-Guided Image Registration 2019 Matthew C. H. Lee
Ozan Oktay
Andreas Schuh
Michiel Schaap
Ben Glocker
1
+ PDF Chat Model-Based and Data-Driven Strategies in Medical Image Computing 2019 Daniel Rueckert
Julia A. Schnabel
1
+ PDF Chat CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation 2020 Ali Emre Kavur
Naciye Sinem Gezer
Mustafa Barış
Sinem Aslan
Pierre-Henri Conze
Vladimir Groza
Duc Duy Pham
Soumick Chatterjee
Philipp Ernst
Savaş Özkan
1
+ PDF Chat Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation 2020 Liang Liu
Jiangning Zhang
Ruifei He
Yong Liu
Yabiao Wang
Ying Tai
Donghao Luo
Chengjie Wang
Jilin Li
Feiyue Huang
1
+ BIAS: Transparent reporting of biomedical image analysis challenges 2020 Lena Maier‐Hein
Annika Reinke
Michal Kozubek
Anne L. Martel
Tal Arbel
Matthias Eisenmann
Allan Hanbury
Pierre Jannin
Henning Müller
Sinan Onogur
1
+ PDF Chat Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks 2020 Tony C. W. Mok
Albert C. S. Chung
1
+ PDF Chat Deep Learning Based Registration Using Spatial Gradients and Noisy Segmentation Labels 2021 Théo Estienne
Maria Vakalopoulou
Enzo Battistella
Alexandre Carré
Théophraste Henry
Marvin Lerousseau
Charlotte Robert
Nikos Paragios
Éric Deutsch
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 Deep learning in medical image registration: a survey 2020 Grant Haskins
Uwe Krüger
Pingkun Yan
1
+ PDF Chat MoDL: Model-Based Deep Learning Architecture for Inverse Problems 2018 Hemant Kumar Aggarwal
Merry Mani
Mathews Jacob
1
+ PDF Chat Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography 2019 Sarah Leclerc
Erik Smistad
João Pedrosa
Andreas Østvik
Frédéric Cervenansky
Florian Espinosa
Torvald Espeland
Erik Andreas Rye Berg
Pierre-Marc Jodoin
Thomas Grenier
1
+ PDF Chat Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration 2017 Jan Rühaak
Thomas Polzin
Stefan Heldmann
Ivor Simpson
Heinz Handels
Jan Modersitzki
Mattias P. Heinrich‬
1
+ PDF Chat The Medical Segmentation Decathlon 2022 Michela Antonelli
Annika Reinke
Spyridon Bakas
Keyvan Farahani
Annette Kopp‐Schneider
Bennett A. Landman
Geert Litjens
Bjoern Menze
Olaf Ronneberger
Ronald M. Summers
1
+ CNN-based lung CT registration with multiple anatomical constraints 2021 Alessa Hering
Stephanie Häger
Jan Hendrik Moltz
Nikolas Leßmann
Stefan Heldmann
Bram van Ginneken
1
+ PDF Chat HyperMorph: Amortized Hyperparameter Learning for Image Registration 2021 Andrew Hoopes
Malte Hoffmann
Bruce Fischl
John V. Guttag
Adrian V. Dalca
1
+ PDF Chat Geodesic density regression for correcting 4DCT pulmonary respiratory motion artifacts 2021 Wei Shao
Yue Pan
Oguz C. Durumeric
Joseph M. Reinhardt
John E. Bayouth
Mirabela Rusu
Gary E. Christensen
1
+ PDF Chat Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration 2021 Alexander Thorley
Xi Jia
Hyung Jin Chang
Boyang Liu
Karina V Bunting
Victoria Stoll
Antonio de Marvao
Declan P. O’Regan
Georgios V. Gkoutos
Dipak Kotecha
1
+ PDF Chat Joint Progressive and Coarse-to-Fine Registration of Brain MRI via Deformation Field Integration and Non-Rigid Feature Fusion 2022 Jinxin Lv
Zhiwei Wang
Hongkuan Shi
Haobo Zhang
Sheng Wang
Yilang Wang
Qiang Li
1
+ PDF Chat Conditional Deformable Image Registration with Convolutional Neural Network 2021 Tony C. W. Mok
Albert C. S. Chung
1
+ PDF Chat Deformable Registration of Brain MR Images via a Hybrid Loss 2022 Luyi Han
Haoran Dou
Yunzhi Huang
Pew‐Thian Yap
1
+ Cost Function Unrolling in Unsupervised Optical Flow 2020 Gal Lifshitz
Dan Raviv
1
+ PDF Chat Fast 3D Registration with Accurate Optimisation and Little Learning for Learn2Reg 2021 2022 Hanna Siebert
Lasse Hansen
Mattias P. Heinrich‬
1
+ SynthMorph: Learning Contrast-Invariant Registration Without Acquired Images 2021 Malte Hoffmann
Benjamin Billot
Douglas N. Greve
Juan Eugenio Iglesias
Bruce Fischl
Adrian V. Dalca
1
+ LASSO regression 2018 Jonas Ranstam
Jonathan Cook
1
+ Regularized directional representations for medical image registration 2021 Vincent Jaouen
Pierre-Henri Conze
Guillaume Dardenne
Julien Bert
Dimitris Visvikis
1
+ Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation 2020 David Powers
1
+ Fully Convolutional Networks for Semantic Segmentation 2014 J. D. Long
Evan Shelhamer
Trevor Darrell
1