Thomas C. Booth

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All published works

Action	Title	Year	Authors
+	Machine Learning Algorithms to Predict the Risk of Rupture of Intracranial Aneurysms: a Systematic Review	2024	Karan Daga Siddharth Agarwal Zaeem Moti Moonjoo Lee Munaib Din David Wood Marc Modat Thomas C. Booth
+ PDF Chat	Learning-Based Autonomous Navigation, Benchmark Environments and Simulation Framework for Endovascular Interventions	2024	Lennart Karstensen Harry H. Robertshaw Johannes Hatzl Benjamin M. Jackson Jens Langejürgen Katharina Breininger Christian Uhl S. M. Hadi Sadati Thomas C. Booth Christos Bergeles
+ PDF Chat	Autonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning	2024	Harry H. Robertshaw Lennart Karstensen Benjamin M. Jackson Alejandro Granados Thomas C. Booth
+ PDF Chat	Artificial intelligence for abnormality detection in high volume neuroimaging: a systematic review and meta-analysis	2024	Siddharth Agarwal David Wood Mariusz Grzeda C Suresh Munaib Din James H. Cole Marc Modat Thomas C. Booth
+ PDF Chat	Letter to the Editor: What are the legal and ethical considerations of submitting radiology reports to ChatGPT?	2024	Siddharth Agarwal David M. Wood Robin Carpenter Yiran Wei Marc Modat Thomas C. Booth
+ PDF Chat	Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium	2024	Haris Shuaib Gareth J. Barker Peter Sasieni Enrico De Vita Alysha Chelliah Andrei Roman Keyoumars Ashkan Erica Beaumont Lucy Brazil Chris Rowland-Hill
+ PDF Chat	A self-supervised text-vision framework for automated brain abnormality detection	2024	David Wood Emily Guilhem Sina Kafiabadi Ayisha Al Busaidi Kishan Dissanayake Ahmed Hammam Nina Mansoor Matthew Townend Siddharth Agarwal Yiran Wei
+ PDF Chat	Letter to the editor: what are the legal and ethical considerations of submitting radiology reports to ChatGPT?	2024	Siddharth Agarwal David M. Wood R Carpenter Yiran Wei Marc Modat Thomas C. Booth
+ PDF Chat	Radiogenomic biomarkers for immunotherapy in glioblastoma: A systematic review of magnetic resonance imaging studies	2024	Prajwal Ghimire Ben Kinnersley Golestan Karami Prabhu Arumugam Richard S. Houlston Keyoumars Ashkan Marc Modat Thomas C. Booth
+ PDF Chat	Artificial intelligence in the autonomous navigation of endovascular interventions: a systematic review	2023	Harry H. Robertshaw Lennart Karstensen Benjamin M. Jackson Hadi Sadati Kawal Rhode Sébastien Ourselin Alejandro Granados Thomas C. Booth
+ PDF Chat	Federated learning enables big data for rare cancer boundary detection	2022	Sarthak Pati Ujjwal Baid Brandon Edwards Micah Sheller Shih‐Han Wang G. Anthony Reina Patrick Foley А. Д. Груздев Deepthi Karkada Christos Davatzikos
+ PDF Chat	Automated triaging of head MRI examinations using convolutional neural networks	2022	David Wood David Wood Sina Kafiabadi Aisha Al Busaidi Emily Guilhem Antanas Montvila Siddharth Agarwal Jeremy A. Lynch Matthew Townend Gareth J. Barker
+	Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium	2022	Haris Shuaib Gareth J. Barker Peter Sasieni Enrico De Vita Alysha Chelliah Andrei Roman Keyoumars Ashkan Erica Beaumont Lucy Brazil Chris Rowland-Hill
+	Federated Learning Enables Big Data for Rare Cancer Boundary Detection	2022	Sarthak Pati Ujjwal Baid Brandon L. Edwards Micah Sheller Shih‐Han Wang G. Anthony Reina Patrick Foley А. Д. Груздев Deepthi Karkada Christos Davatzikos
+	Automated triaging of head MRI examinations using convolutional neural networks	2021	David Wood Sina Kafiabadi Ayisha Al Busaidi Emily Guilhem Antanas Montvila Siddharth Agarwal Jeremy A. Lynch Matthew Townend Gareth J. Barker Sébastien Ourselin
+	Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets	2020	Reuben Dorent Thomas C. Booth Wenqi Li Carole H. Sudre Sina Kafiabadi M. Jorge Cardoso Sébastien Ourselin Tom Vercauteren
+	Labelling imaging datasets on the basis of neuroradiology reports: a validation study	2020	David Wood Sina Kafiabadi Aisha Al Busaidi Emily Guilhem Jeremy Lynch Matthew Townend Antanas Montvila Juveria Siddiqui Naveen Gadapa Matthew Benger
+	Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM)	2020	David Wood Jeremy Lynch Sina Kafiabadi Emily Guilhem Aisha Al Busaidi Antanas Montvila Thomas Varsavsky Juveria Siddiqui Naveen Gadapa Matthew Townend
+ PDF Chat	Labelling Imaging Datasets on the Basis of Neuroradiology Reports: A Validation Study	2020	David Wood Sina Kafiabadi Aisha Al Busaidi Emily Guilhem Jeremy Lynch Matthew Townend Antanas Montvila Juveria Siddiqui Naveen Gadapa Matthew Benger
+ PDF Chat	Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021	2020	Thomas C. Booth Bernice Akpinar Andrei Roman Haris Shuaib Aysha Luis Alysha Chelliah Ayisha Al Busaidi Ayesha Mirchandani Burcu Alparslan Nina Mansoor
+	Labelling imaging datasets on the basis of neuroradiology reports: a validation study	2020	David Wood Sina Kafiabadi Aisha Al Busaidi Emily Guilhem Jeremy A. Lynch Matthew Townend Antanas Montvila Juveria Siddiqui Naveen Gadapa Matthew Benger
+	Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM)	2020	David Wood Jeremy A. Lynch Sina Kafiabadi Emily Guilhem Aisha Al Busaidi Antanas Montvila Thomas Varsavsky Juveria Siddiqui Naveen Gadapa Matthew Townend
+	NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification	2019	David Wood James H. Cole Thomas C. Booth
+ PDF Chat	Machine learning and glioma imaging biomarkers	2019	Thomas C. Booth Matthew Williams Aysha Luis M. Jorge Cardoso K. Ashkan Haris Shuaib
+ PDF Chat	An Update on Machine Learning in Neuro-Oncology Diagnostics	2019	Thomas C. Booth

Common Coauthors

Coauthor	Papers Together
David Wood	11
Sébastien Ourselin	11
James H. Cole	10
Gareth J. Barker	10
Sina Kafiabadi	9
Matthew Townend	8
Marc Modat	8
Emily Guilhem	8
Antanas Montvila	7
Haris Shuaib	6
Aisha Al Busaidi	6
Juveria Siddiqui	5
Alysha Chelliah	5
Naveen Gadapa	5
Siddharth Agarwal	4
Aysha Luis	4
Jeremy A. Lynch	4
Jeremy Lynch	3
Benjamin M. Jackson	3
Andrei Roman	3
Keyoumars Ashkan	3
Stuart Currie	3
Matthew Williams	3
Lennart Karstensen	3
Ayisha Al Busaidi	3
Peter Sasieni	3
Matthew Benger	3
Harry H. Robertshaw	3
Elvis Ríos	2
Esteban Torche	2
Fábio Ynoe de Moraes	2
Jong Hee Chang	2
Amber L. Simpson	2
Michael Weller	2
Ben Glocker	2
Bjoern Menze	2
S. Benson	2
Bernardo Corrêa de Almeida Teixeira	2
Rourke Haas	2
James Powell	2
Gianluca Brugnara	2
Sergio A. Velastín	2
Karthik Ramadass	2
Michel Bilello	2
Rajan Jain	2
Yoon Seong Choi	2
F Sprenger	2
Nicholas Wang	2
Akifumi Hagiwara	2
А. Д. Груздев	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Classification of radiology reports using neural attention models	2017	Bonggun Shin Falgun H. Chokshi Timothy Lee Jinho D. Choi	3
+ PDF Chat	Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers	2020	John Mongan Linda Moy Charles E. Kahn	3
+ PDF Chat	Deep Reinforcement Learning for Guidewire Navigation in Coronary Artery Phantom	2021	Jihoon Kweon Kyung-Hwan Kim Chaehyuk Lee Hwi Kwon Jinwoo Park Kyoseok Song Young In Kim Jeeone Park Inwook Back Jae‐Hyung Roh	2
+ PDF Chat	Machine learning and glioma imaging biomarkers	2019	Thomas C. Booth Matthew Williams Aysha Luis M. Jorge Cardoso K. Ashkan Haris Shuaib	2
+	TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning	2021	Fernando Pérez‐García Rachel Sparks Sébastien Ourselin	2
+	Caveats in Generating Medical Imaging Labels from Radiology Reports.	2019	Tobi Olatunji Yao Li Ben Covington Alexander Rhodes Anthony Upton	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+ PDF Chat	nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation	2020	Fabian Isensee Paul F. Jaeger Simon Kohl Jens Petersen Klaus H. Maier‐Hein	2
+	Brain Abnormality Detection by Deep Convolutional Neural Network	2017	Mina Rezaei Haojin Yang Christoph Meinel	2
+ PDF Chat	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	2
+	Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders	2018	Xiaoran Chen Ender Konukoglu	2
+	Learning Transferable Features with Deep Adaptation Networks	2015	Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan	1
+	Differential Privacy: A Survey of Results	2008	Cynthia Dwork	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	A nonparametric method for automatic correction of intensity nonuniformity in MRI data	1998	John G. Sled Alex Zijdenbos Alan C. Evans	1
+ PDF Chat	Computation of the mid-sagittal plane in 3-D brain images	2002	S. Prima Sébastien Ourselin Nicholas Ayache	1
+	The minisum location problem for the Jaccard metric	1981	H. Späth	1
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	HeMIS: Hetero-Modal Image Segmentation	2016	Mohammad Havaei Nicolas Guizard Nicolas Chapados Yoshua Bengio	1
+	Recurrent Models of Visual Attention	2014	Volodymyr Mnih Nicolas Heess Alex Graves Koray Kavukcuoglu	1
+	Instance Normalization: The Missing Ingredient for Fast Stylization	2016	Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky	1
+ PDF Chat	The Importance of Skip Connections in Biomedical Image Segmentation	2016	Michal Drozdzal Eugene Vorontsov Gabriel Chartrand Samuel Kadoury Chris Pal	1
+ PDF Chat	Deep Learning for Multi-task Medical Image Segmentation in Multiple Modalities	2016	Pim Moeskops Jelmer M. Wolterink Bas H. M. van der Velden Kenneth G. A. Gilhuijs Tim Leiner Max A. Viergever Ivana Išgum	1
+ PDF Chat	Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks	2017	Konstantinos Kamnitsas Christian F. Baumgartner Christian Ledig Virginia Newcombe Joanna Simpson Andrew D. Kane David Menon Aditya Nori Antonio Criminisi Daniel Rueckert	1
+ PDF Chat	A note on the triangle inequality for the Jaccard distance	2018	Sven Kosub	1
+ PDF Chat	Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery	2017	Thomas Schlegl Philipp Seeböck Sebastian M. Waldstein Ursula Schmidt‐Erfurth Georg Langs	1
+	What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?	2017	Alex Kendall Yarin Gal	1
+ PDF Chat	On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task	2017	Wenqi Li Guotai Wang Lucas Fidon Sébastien Ourselin M. Jorge Cardoso Tom Vercauteren	1
+ PDF Chat	Radiologic Image-Based Statistical Shape Analysis of Brain Tumours	2018	Karthik Bharath Sebastian Kurtek Arvind Rao Veerabhadran Baladandayuthapani	1
+	An Overview of Multi-Task Learning in Deep Neural Networks	2017	Sebastian Ruder	1
+	Learning without Forgetting	2017	Zhizhong Li Derek Hoiem	1
+	Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks	2015	Adrien Payan Giovanni Montana	1
+	Training Convolutional Networks with Noisy Labels	2014	Sainbayar Sukhbaatar Joan Bruna Manohar Paluri Lubomir Bourdev Rob Fergus	1
+	Disjoint Multi-task Learning between Heterogeneous Human-centric Tasks	2018	Dong-Jin Kim Jinsoo Choi Tae-Hyun Oh Young-Jin Yoon In So Kweon	1
+	Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network	2016	Ehsan Hosseini-Asl Georgy Gimel’farb Ayman El‐Baz	1
+ PDF Chat	Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images	2018	Donghuan Lu Karteek Popuri Gavin Weiguang Ding Rakesh Balachandar Mirza Faisal Beg Michael D. Weiner Paul Aisen Ronald C. Petersen Cliford Jack William J. Jagust	1
+ PDF Chat	Rainbow: Combining Improvements in Deep Reinforcement Learning	2018	Matteo Hessel Joseph Modayil Hado van Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot Mohammad Gheshlaghi Azar David Silver	1
+	Deep contextualized word representations	2018	Matthew E. Peters Mark E Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer	1
+	Conditional Adversarial Domain Adaptation	2017	Mingsheng Long Zhangjie Cao Jianmin Wang Michael I. Jordan	1
+ PDF Chat	Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images	2019	Christoph Baur Benedikt Wiestler Shadi Albarqouni Nassir Navab	1
+ PDF Chat	Continuous Dice Coefficient: a Method for Evaluating Probabilistic Segmentations	2018	Reuben R. Shamir Yuval Duchin Jinyoung Kim Guillermo Sapiro Noam Harel	1
+ PDF Chat	Voxel-Based Morphometry—The Methods	2000	John Ashburner Karl Friston	1
+ PDF Chat	Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study	2018	John R. Zech Marcus A. Badgeley Manway Liu Anthony Costa J. Titano Eric K. Oermann	1
+ PDF Chat	Towards Safe Deep Learning: Accurately Quantifying Biomarker Uncertainty in Neural Network Predictions	2018	Zach Eaton-Rosen Felix Bragman Sotirios Bisdas Sébastien Ourselin M. Jorge Cardoso	1
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	1
+ PDF Chat	Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation	2019	Micah Sheller G. Anthony Reina Brandon Edwards Jason Martin Spyridon Bakas	1
+	An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection	2018	Liyan Sun Jiexiang Wang Yue Huang Xinghao Ding Hayit Greenspan John Paisley	1
+	Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge	2018	Spyridon Bakas Mauricio Reyes Enzo Battistella Siddhartha Chandra Huiguang He Lucas Fidon Maria Vakalopoulou Roger Sun et al. Éric Deutsch	1
+ PDF Chat	The consistency of neuropathological diagnoses in patients undergoing surgery for suspected recurrence of glioblastoma	2018	Matthias Holdhoff Xiaobu Ye Anna F. Piotrowski Roy E. Strowd Shannon Seopaul Yao Lu Norman Barker Ananyaa Sivakumar Fausto J. Rodríguez Stuart A. Grossman	1
+	A Survey on Multi-Task Learning	2017	Yu Zhang Qiang Yang	1