John Simpson

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All published works

Action	Title	Year	Authors
+	Can non-specialists provide high quality gold standard labels in challenging modalities?	2021	Samuel Budd Thomas G. Day John Simpson Karen G. Lloyd Jacqueline Matthew Emily Skelton Reza Razavi Bernhard Kainz
+	Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps	2021	Samuel Budd Matthew Sinclair Thomas G. Day Athanasios Vlontzos Jeremy Tan Tianrui Liu Jaqueline Matthew Emily Skelton John Simpson Reza Razavi
+	Detecting Outliers with Poisson Image Interpolation	2021	Jeremy Tan Benjamin Hou Thomas G. Day John Simpson Daniel Rueckert Bernhard Kainz
+ PDF Chat	Detecting Outliers with Poisson Image Interpolation	2021	Jeremy Tan Benjamin Hou Thomas G. Day John Simpson Daniel Rueckert Bernhard Kainz
+ PDF Chat	Can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities?	2021	Samuel Budd Thomas G. Day John Simpson Karen G. Lloyd Jacqueline Matthew Emily Skelton Reza Razavi Bernhard Kainz
+ PDF Chat	Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps	2021	Samuel Budd Matthew Sinclair Thomas G. Day Athanasios Vlontzos Jeremy Tan Tianrui Liu Jacqueline Matthew Emily Skelton John Simpson Reza Razavi
+	Automated Detection of Congenital HeartDisease in Fetal Ultrasound Screening	2020	Jeremy Tan Anselm Au Qingjie Meng Sandy FinesilverSmith John Simpson Daniel Rueckert Reza Razavi Thomas G. Day David Lloyd Bernhard Kainz
+	Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening	2020	Jeremy Tan Anselm Au Qingjie Meng Sandy FinesilverSmith John Simpson Daniel Rueckert Reza Razavi Thomas G. Day David Lloyd Bernhard Kainz
+ PDF Chat	Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening	2020	Jeremy Tan Anselm Au Qingjie Meng Sandy FinesilverSmith John Simpson Daniel Rueckert Reza Razavi Thomas G. Day David Lloyd Bernhard Kainz
+	Robotic-assisted Ultrasound for Fetal Imaging: Evolution from Single-arm to Dual-arm System	2019	Shuangyi Wang R. James Housden Yohan Noh Davinder Singh Anisha Singh Emily Skelton Jacqueline Matthew Cornelius Tan Junghwan Back Lukas Lindenroth
+ PDF Chat	Robotic-Assisted Ultrasound for Fetal Imaging: Evolution from Single-Arm to Dual-Arm System	2019	Shuangyi Wang R. James Housden Yohan Noh Davinder Singh Anisha Singh Emily Skelton Jacqueline Matthew Cornelius Tan Junghwan Back Lukas Lindenroth

Common Coauthors

Coauthor	Papers Together
Thomas G. Day	9
Reza Razavi	9
Bernhard Kainz	9
Daniel Rueckert	7
Jeremy Tan	7
Emily Skelton	6
Jacqueline Matthew	5
David Lloyd	5
Samuel Budd	4
Sandy FinesilverSmith	3
Anselm Au	3
Qingjie Meng	3
Kaspar Althoefer	2
Nicolas Toussaint	2
Junghwan Back	2
Cornelius Tan	2
R. James Housden	2
Emma C. Robinson	2
Lukas Lindenroth	2
Benjamin Hou	2
Joseph V. Hajnal	2
Matthew Sinclair	2
Caroline L. Knight	2
Tianrui Liu	2
Yohan Noh	2
Tara P. Fletcher	2
Kawal Rhode	2
Hongbin Liu	2
Ben Glocker	2
Davinder Singh	2
Athanasios Vlontzos	2
Veronika A. Zimmer	2
Karen G. Lloyd	2
Anisha Singh	2
Alberto Gómez	2
Shuangyi Wang	2
Dharmintra Pasupathy	2
Jaqueline Matthew	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning	2015	Yarin Gal Zoubin Ghahramani	4
+	SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound	2017	Christian F. Baumgartner Konstantinos Kamnitsas Jacqueline Matthew Tara P. Fletcher Sandra Smith Lisa M. Koch Bernhard Kainz Daniel Rueckert	4
+ PDF Chat	Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks	2018	Matthew Sinclair Christian F. Baumgartner Jacqueline Matthew Wenjia Bai Juan Cerrolaza Martinez Yuanwei Li Sandra Smith Caroline L. Knight Bernhard Kainz Joseph V. Hajnal	4
+	Deep-learning models improve on community-level diagnosis for common congenital heart disease lesions	2018	Rima Arnaout Lara Curran Erin Chinn Yili Zhao Anita J. Moon‐Grady	3
+	Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps	2021	Samuel Budd Matthew Sinclair Thomas G. Day Athanasios Vlontzos Jeremy Tan Tianrui Liu Jaqueline Matthew Emily Skelton John Simpson Reza Razavi	2
+	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	2
+ PDF Chat	Confident Head Circumference Measurement from Ultrasound with Real-Time Feedback for Sonographers	2019	Samuel Budd Matthew Sinclair Bishesh Khanal Jacqueline Matthew David Lloyd Alberto Gómez Nicolas Toussaint Emma C. Robinson Bernhard Kainz	2
+	Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation	2019	Nima Tajbakhsh Laura Jeyaseelan Qian Li Jeffrey N. Chiang Zhihao Wu Xiaowei Ding	2
+ PDF Chat	Pseudo-healthy synthesis with pathology disentanglement and adversarial learning	2020	Tian Xia Agisilaos Chartsias Sotirios A. Tsaftaris	2
+	Robustness study of noisy annotation in deep learning based medical image segmentation	2020	Shaode Yu Mingli Chen Erlei Zhang Junjie Wu Hang Yu Zi Yang Lin Ma Xuejun Gu Weiguo Lu	2
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	2
+ PDF Chat	Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening	2020	Jeremy Tan Anselm Au Qingjie Meng Sandy FinesilverSmith John Simpson Daniel Rueckert Reza Razavi Thomas G. Day David Lloyd Bernhard Kainz	2
+ PDF Chat	ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases	2017	Xiaosong Wang Yifan Peng Le Lü Zhiyong Lu Mohammadhadi Bagheri Ronald M. Summers	2
+ PDF Chat	Early Experiences with Crowdsourcing Airway Annotations in Chest CT	2016	Veronika Cheplygina Adria Perez‐Rovira Wieying Kuo Harm A.W.M. Tiddens Marleen de Bruijne	2
+	How Many Annotators Do We Need? - A Study on the Influence of Inter-Observer Variability on the Reliability of Automatic Mitotic Figure Assessment.	2020	Frauke Wilm Christof Bertram Christian Marzahl Alexander Bartel Taryn Donovan Charles‐Antoine Assenmacher Kathrin Becker Mark K. Bennett Sarah Corner Brieuc Cossic	2
+	Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks	2022	Matthew Sinclair Andreas Schuh Karl Hahn Kersten Petersen Ying Bai James Batten Michiel Schaap Ben Glocker	2
+ PDF Chat	Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study	2021	Christoph Baur Stefan Denner Benedikt Wiestler Nassir Navab Shadi Albarqouni	2
+	Unsupervised Brain Anomaly Detection and Segmentation with Transformers	2021	Walter Hugo Lopez Pinaya Petru-Daniel Tudosiu Robert Gray Geraint Rees Parashkev Nachev Sébastien Ourselin M. Jorge Cardoso	2
+ PDF Chat	Anomaly Detection Through Latent Space Restoration Using Vector Quantized Variational Autoencoders	2021	Sergio Naval Marimont Giacomo Tarroni	2
+ PDF Chat	CutPaste: Self-Supervised Learning for Anomaly Detection and Localization	2021	Chun‐Liang Li Kihyuk Sohn Jinsung Yoon Tomas Pfister	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+ PDF Chat	Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology	2019	James R. Clough İlkay Öksüz Nick Byrne Julia A. Schnabel Andrew P. King	2
+	mixup: Beyond Empirical Risk Minimization	2017	Hongyi Zhang Moustapha Cissé Yann Dauphin David López-Paz	2
+ PDF Chat	Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics	2018	Roberto Cipolla Yarin Gal Alex Kendall	2
+ PDF Chat	Building a Framework for Predictive Science	2011	Michael McKerns Leif Strand Tim Sullivan Alta Fang M. Aivazis	2
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	2
+	Towards Deep Learning Models Resistant to Adversarial Attacks.	2018	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	2
+	Topology-Preserving Deep Image Segmentation	2019	Xiao Hu Fuxin Li Dimitris Samaras Chao Chen	2
+ PDF Chat	Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening	2019	Nan Wu Jason Phang Jungkyu Park Yiqiu Shen Zhe Huang Masha Zorin Stanisław Jastrzȩbski Thibault Févry Joe Katsnelson Eric Kim	2
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	1
+	Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection	2018	David Zimmerer Simon Kohl Jens Petersen Fabian Isensee Klaus H. Maier‐Hein	1
+ PDF Chat	Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation	2020	Nima Tajbakhsh Laura Jeyaseelan Qian Li Jeffrey N. Chiang Zhihao Wu Xiaowei Ding	1
+	Data-Efficient Image Recognition with Contrastive Predictive Coding	2019	Olivier J. Hénaff Aravind Srinivas Jeffrey De Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aäron van den Oord	1
+	Generating Diverse High-Fidelity Images with VQ-VAE-2	2019	Ali Razavi Aäron van den Oord Oriol Vinyals	1
+	Quality of Uncertainty Quantification for Bayesian Neural Network Inference	2019	Jiayu Yao Weiwei Pan Soumya Ghosh Finale Doshi‐Velez	1
+	Generating Diverse High-Fidelity Images with VQ-VAE-2	2019	Ali Razavi Aäron van den Oord Oriol Vinyals	1
+	Detecting Outliers with Foreign Patch Interpolation	2020	Jeremy Tan Benjamin Hou James Batten Huaqi Qiu Bernhard Kainz	1
+	Deep Anomaly Detection Using Geometric Transformations	2018	Izhak Golan Ran El‐Yaniv	1
+	Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty	2020	Miguel Monteiro Loïc Le Folgoc Daniel C. Castro Nick Pawlowski Bernardo Marques Konstantinos Kamnitsas Mark van der Wilk Ben Glocker	1
+	Deep Anomaly Detection Using Geometric Transformations	2018	Izhak Golan Ran El‐Yaniv	1
+	Deep learning from crowds	2017	Filipe Rodrigues Francisco C. Pereira	1
+	A Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton	1
+	CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances	2020	Jihoon Tack Sangwoo Mo Jongheon Jeong Jinwoo Shin	1
+	CutPaste: Self-Supervised Learning for Anomaly Detection and Localization	2021	Chun‐Liang Li Kihyuk Sohn Jinsung Yoon Tomas Pfister	1