Timothy J. W. Dawes

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All published works
Action Title Year Authors
+ PDF Chat Deep-learning cardiac motion analysis for human survival prediction 2019 Ghalib Bello
Timothy J. W. Dawes
Jinming Duan
Carlo Biffi
Antonio de Marvao
Luke Howard
J. Simon R. Gibbs
Martin R. Wilkins
Stuart A. Cook
Daniel Rueckert
+ 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
+ Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network 2019 Shihao Jin
Nicoló Savioli
Antonio de Marvao
Timothy J. W. Dawes
Axel Gandy
Daniel Rueckert
Declan P. O’Regan
+ PDF Chat Deep Nested Level Sets: Fully Automated Segmentation of Cardiac MR Images in Patients with Pulmonary Hypertension 2018 Jinming Duan
Jo Schlemper
Wenjia Bai
Timothy J. W. Dawes
Ghalib Bello
Georgia Doumou
Antonio de Marvao
Declan P. O’Regan
Daniel Rueckert
+ Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach 2018 Jinming Duan
Ghalib Bello
Jo Schlemper
Wenjia Bai
Timothy J. W. Dawes
Carlo Biffi
Antonio de Marvao
Georgia Doumou
Declan P. O’Regan
Daniel Rueckert
+ Deep nested level sets: Fully automated segmentation of cardiac MR images in patients with pulmonary hypertension 2018 Jinming Duan
Jo Schlemper
Wenjia Bai
Timothy J. W. Dawes
Ghalib Bello
Georgia Doumou
Antonio de Marvao
Declan P. O’Regan
Daniel Rueckert
+ 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
+ PDF Chat Three-dimensional cardiovascular imaging-genetics: a mass univariate framework 2017 Carlo Biffi
Antonio de Marvao
Mark Attard
Timothy J. W. Dawes
Nicola Whiffin
Wenjia Bai
Wenzhe Shi
Catherine Francis
Hannah V. Meyer
Rachel Buchan
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI 2016 Phi Vu Tran
3
+ Human-level CMR image analysis with deep fully convolutional networks. 2017 Wenjia Bai
Matthew Sinclair
Giacomo Tarroni
Ozan Oktay
Martin Rajchl
Ghislain Vaillant
Aaron M. Lee
Nay Aung
Elena Lukaschuk
Mihir M. Sanghvi
3
+ PDF Chat A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI 2016 M. R. Avendi
Arash Kheradvar
Hamid Jafarkhani
3
+ PDF Chat 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation 2016 Özgün Çiçek
Ahmed Abdulkadir
Soeren S. Lienkamp
Thomas Brox
Olaf Ronneberger
3
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
3
+ Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation 2016 Konstantinos Kamnitsas
Christian Ledig
Virginia Newcombe
Joanna Simpson
Andrew D. Kane
David Menon
Daniel Rueckert
Ben Glocker
3
+ 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
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
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 Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers 2018 Mahendra Khened
Varghese Alex Kollerathu
Ganapathy Krishnamurthi
2
+ PDF Chat Deep Nested Level Sets: Fully Automated Segmentation of Cardiac MR Images in Patients with Pulmonary Hypertension 2018 Jinming Duan
Jo Schlemper
Wenjia Bai
Timothy J. W. Dawes
Ghalib Bello
Georgia Doumou
Antonio de Marvao
Declan P. O’Regan
Daniel Rueckert
2
+ PDF Chat Deep-learning cardiac motion analysis for human survival prediction 2019 Ghalib Bello
Timothy J. W. Dawes
Jinming Duan
Carlo Biffi
Antonio de Marvao
Luke Howard
J. Simon R. Gibbs
Martin R. Wilkins
Stuart A. Cook
Daniel Rueckert
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 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
+ $\nu$-net: Deep Learning for Generalized Biventricular Cardiac Mass and Function Parameters 2017 Hinrich B. Winther
Christian Hundt
Bertil Schmidt
Christoph Czerner
Johann Bauersachs
Frank Wacker
Jens Vogel‐Claussen
2
+ PDF Chat Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges 2018 Mihaela Pop
Maxime Sermesant
Pierre-Marc Jodoin
Alain Lalande
Xiahai Zhuang
Guang Yang
Alistair A. Young
Olivier Bernard
2
+ Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials 2012 Philipp Krähenbühl
Vladlen Koltun
2
+ PDF Chat An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation 2018 Christian F. Baumgartner
Lisa M. Koch
Marc Pollefeys
Ender Konukoğlu
2
+ PDF Chat V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation 2016 Fausto Milletarì
Nassir Navab
Seyed‐Ahmad Ahmadi
2
+ Left Ventricle Segmentation in Cardiac MR Images Using Fully Convolutional Network 2018 Mina Nasr-Esfahani
Majid Mohrekesh
Mojtaba Akbari
S. M. Reza Soroushmehr
Ebrahim Nasr-Esfahani
Nader Karimi
Shadrokh Samavi
Kayvan Najarian
2
+ PDF Chat An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders 2016 Jacob Walker
Carl Doersch
Abhinav Gupta
Martial Hebert
1
+ Incorporating prior knowledge in medical image segmentation: a survey. 2016 Masoud S. Nosrati
Ghassan Hamarneh
1
+ PDF Chat Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images 2016 Hao Chen
Yefeng Zheng
JinHyeong Park
Pheng‐Ann Heng
Shuai Zhou
1
+ PDF Chat Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network 2016 Wenzhe Shi
José Caballero
Ferenc Huszár
Johannes Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
1
+ PDF Chat Accelerating the Super-Resolution Convolutional Neural Network 2016 Chao Dong
Chen Change Loy
Xiaoou Tang
1
+ Semantic Segmentation using Adversarial Networks 2016 Pauline Luc
Camille Couprie
Soumith Chintala
Jakob Verbeek
1
+ PDF Chat Deep Representation Learning for Human Motion Prediction and Classification 2017 Judith Bütepage
Michael J. Black
Danica Kragić
Hedvig Kjellström
1
+ 2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation 2017 Jay Patravali
Shubham Jain
Sasank Chilamkurthy
1
+ PDF Chat DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network 2018 Jared Katzman
Uri Shaham
Alexander Cloninger
Jonathan Bates
Tingting Jiang
Yuval Kluger
1
+ PDF Chat DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks 2018 Changhee Lee
William R. Zame
Jinsung Yoon
Mihaela van der Schaar
1
+ Disease-Atlas: Navigating Disease Trajectories with Deep Learning 2018 Bryan Lim
Mihaela van der Schaar
1
+ PDF Chat Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling 2018 Carlo Biffi
Ozan Oktay
Giacomo Tarroni
Wenjia Bai
Antonio de Marvao
Georgia Doumou
Martin Rajchl
Reem Bedair
Sanjay Prasad
Stuart A. Cook
1
+ 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
1
+ Graph- and finite element-based total variation models for the inverse problem in diffuse optical tomography 2019 Wenqi Lu
Jinming Duan
David Orive-Miguel
Lionel Hervé
Iain B. Styles
1
+ Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data 2019 Changhee Lee
Jinsung Yoon
Mihaela van der Schaar
1
+ PDF Chat GSimp: A Gibbs sampler based left-censored missing value imputation approach for metabolomics studies 2018 Runmin Wei
Jingye Wang
Erik Jia
Tianlu Chen
Yan Ni
Jia Wang
1
+ Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images 2016 Hao Chen
Yefeng Zheng
JinHyeong Park
Pheng‐Ann Heng
Shuai Zhou
1
+ Holistically-Nested Edge Detection 2015 Saining Xie
Zhuowen Tu
1
+ Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach 2018 Jinming Duan
Ghalib Bello
Jo Schlemper
Wenjia Bai
Timothy J. W. Dawes
Carlo Biffi
Antonio de Marvao
Georgia Doumou
Declan P. O’Regan
Daniel Rueckert
1
+ Deep representation learning for human motion prediction and classification 2017 Judith Bütepage
Michael J. Black
Danica Kragić
Hedvig Kjellström
1
+ PDF Chat Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features 2018 Fabian Isensee
Paul F. Jaeger
Peter M. Full
Ivo Wolf
Sandy Engelhardt
Klaus H. Maier‐Hein
1
+ PDF Chat Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network 2017 Christian Ledig
Lucas Theis
Ferenc Huszár
José Caballero
Andrew Cunningham
Alejandro Acosta
Andrew P. Aitken
Alykhan Tejani
Johannes Totz
Zehan Wang
1
+ Discriminative Recurrent Sparse Auto-Encoders 2013 Jason Tyler Rolfe
Yann LeCun
1
+ PDF Chat 2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation 2018 Jay Patravali
Shubham Jain
Sasank Chilamkurthy
1
+ PDF Chat Iterative Instance Segmentation 2016 Ke Li
Bharath Hariharan
Jitendra Malik
1
+ PDF Chat Left Ventricle Segmentation in Cardiac MR Images Using Fully Convolutional Network 2018 Mina Nasr-Esfahani
Majid Mohrekesh
Mojtaba Akbari
S. M. Reza Soroushmehr
Ebrahim Nasr-Esfahani
Nader Karimi
Shadrokh Samavi
Kayvan Najarian
1
+ PDF Chat Learning a Predictable and Generative Vector Representation for Objects 2016 Rohit Girdhar
David F. Fouhey
Mikel Rodríguez
Abhinav Gupta
1
+ Multivariate Data Analysis, 6th ed 2006 Ronald L. Tatham
Rolph E. Anderson
Barry J. Babin
William C. Black
Joseph F. Hair
1
+ Disease-Atlas: Navigating Disease Trajectories with Deep Learning 2018 Bryan Lim
Mihaela van der Schaar
1
+ Incorporating prior knowledge in medical image segmentation: a survey 2016 Masoud S. Nosrati
Ghassan Hamarneh
1