Dean C. Barratt

6.4k citations

99 papers · 3.2k indexed · 2 hit papers · h-index 29

Impact in

Radiology, Nuclear Medicine and Imaging top 1%
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Computer Vision and Pattern Recognition top 1%
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications

Papers in

Computer Vision and Pattern Recognition 43
- Medical Image Segmentation Techniques 32
- Advanced Neural Network Applications 14
Radiology, Nuclear Medicine and Imaging 47
- Radiomics and Machine Learning in Medical Imaging 18
- Medical Imaging Techniques and Applications 12

Co-authors: Yipeng Hu Mark Emberton Eli Gibson Hashim U. Ahmed Ester Bonmati David J. Hawkes Matthew J. Clarkson Brian R Davidson
Journals: Medical Image Analysis (16 papers)IEEE Transactions on Medical Imaging (9 papers)Medical Physics (7 papers)The Journal of Urology (6 papers)International Journal of Computer Assisted Radiology and Surgery (4 papers)
Partner nations: United Kingdom United States Netherlands

In The Last Decade

Dean C. Barratt

92 papers receiving 3.2k citations

Hit Papers

align trajectories log scale

NiftyNet: a deep-learning platform for medical imaging 2018 · 363 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2018 Computer Methods and Programs in Biomedicine
2018 IEEE Transactions on Medical Imaging

Peers

Countries citing papers authored by Dean C. Barratt

Since Specialization

Citations

This map shows the geographic impact of Dean C. Barratt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dean C. Barratt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dean C. Barratt more than expected).

Fields of papers citing papers by Dean C. Barratt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dean C. Barratt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dean C. Barratt. The network helps show where Dean C. Barratt may publish in the future.

Co-authors

The 25 scholars most cited alongside Dean C. Barratt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dean C. Barratt Line = papers co-authored together Dean C. Barratt links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	A semi-supervised prototypical network for prostate lesion segmentation from multimodality MRI Physics in Medicine and Biology ·Yan Wen, Yipeng Hu, Qianye Yang, Yunguan Fu, Tom Syer, Zhe Min, Shonit Punwani, Mark Emberton, Dean C. Barratt, Carmen Chi-Min Cho, Bernard Chiu	2025	0
2	Active learning using adaptable task-based prioritisation Medical Image Analysis ·Shaheer U. Saeed, João Ramalhinho, Mark A. Pinnock, Ziyi Shen, Yunguan Fu, Nina Montaña-Brown, Ester Bonmati, Dean C. Barratt, Stephen P. Pereira, Brian R Davidson, Matthew J. Clarkson, Yipeng Hu	2024	2
3	Time conditioning for arbitrary contrast phase generation in interventional computed tomography Physics in Medicine and Biology ·Mark A. Pinnock, Yipeng Hu, Steve Bandula, Dean C. Barratt	2024	3
4	Combiner and HyperCombiner networks: Rules to combine multimodality MR images for prostate cancer localisation Medical Image Analysis ·Yan Wen, Bernard Chiu, Ziyi Shen, Qianye Yang, Tom Syer, Zhe Min, Shonit Punwani, Mark Emberton, David Atkinson, Dean C. Barratt, Yipeng Hu	2023	3
5	Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration Medical Image Analysis ·Yiwen Li, Yunguan Fu, Iani J. M. B. Gayo, Qianye Yang, Zhe Min, Shaheer U. Saeed, Yan Wen, Yipei Wang, J. Alison Noble, Mark Emberton, Matthew J. Clarkson, Henkjan Huisman, Dean C. Barratt, Victor Adrian Prisacariu, Yipeng Hu	2023	14
6	Long-Term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker IEEE Transactions on Biomedical Engineering ·Qi Li, Ziyi Shen, Qian Li, Dean C. Barratt, Thomas Dowrick, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu	2023	6
7	Image quality assessment for machine learning tasks using meta-reinforcement learning Medical Image Analysis ·Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, J. Alison Noble, Dean C. Barratt, Yipeng Hu	2022	28
8	Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study Medical Image Analysis ·Sulaiman Vesal, Iani J. M. B. Gayo, Indrani Bhattacharya, Shyam Natarajan, Leonard S. Marks, Dean C. Barratt, Richard E. Fan, Yipeng Hu, Geoffrey A. Sonn, Mirabela Rusu	2022	22
9	Meta-Learning Initializations for Interactive Medical Image Registration IEEE Transactions on Medical Imaging ·Zachary M. C. Baum, Yipeng Hu, Dean C. Barratt	2022	13
10	Cross-Modality Image Registration Using a Training-Time Privileged Third Modality IEEE Transactions on Medical Imaging ·Qianye Yang, David Atkinson, Yunguan Fu, Tom Syer, Yan Wen, Shonit Punwani, Matthew J. Clarkson, Dean C. Barratt, Tom Vercauteren, Yipeng Hu	2022	5
11	Voice-Assisted Image Labeling for Endoscopic Ultrasound Classification Using Neural Networks IEEE Transactions on Medical Imaging ·Ester Bonmati, Yipeng Hu, Alexander Grimwood, Gavin Johnson, George Goodchild, Margaret G. Keane, Kurinchi Selvan Gurusamy, Brian R Davidson, Matthew J. Clarkson, Stephen P. Pereira, Dean C. Barratt	2021	16
12	DeepReg: a deep learning toolkit for medical image registration The Journal of Open Source Software ·Yunguan Fu, Nina Montaña-Brown, Shaheer U. Saeed, Adrià Casamitjana, Zachary M. C. Baum, Rémi Delaunay, Qianye Yang, Alexander Grimwood, Zhe Min, Stefano B. Blumberg, Juan Eugenio Iglesias, Dean C. Barratt, Ester Bonmati, Daniel C. Alexander, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu	2020	18
13	NiftyNet: a deep-learning platform for medical imaging Computer Methods and Programs in Biomedicine ·Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert Gray, Tom Doel, Yipeng Hu, T. Whyntie, Parashkev Nachev, Marc Modat, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren Hit paper breakdown →	2018	363
14	Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks IEEE Transactions on Medical Imaging ·Eli Gibson, Francesco Giganti, Yipeng Hu, Ester Bonmati, Steve Bandula, Kurinchi Selvan Gurusamy, Brian R Davidson, Stephen P. Pereira, Matthew J. Clarkson, Dean C. Barratt Hit paper breakdown →	2018	472
15	Weakly-supervised convolutional neural networks for multimodal image registration Medical Image Analysis ·Yipeng Hu, Marc Modat, Eli Gibson, Wenqi Li, Nooshin Ghavami, Ester Bonmati, Guotai Wang, Steven Bandula, Caroline M. Moore, Mark Emberton, Sébastien Ourselin, J. Alison Noble, Dean C. Barratt, Tom Vercauteren	2018	250
16	Designing image segmentation studies: Statistical power, sample size and reference standard quality Medical Image Analysis ·Eli Gibson, Yipeng Hu, Henkjan Huisman, Dean C. Barratt	2017	19
17	The concordance between the volume hotspot and the grade hotspot: a 3-D reconstructive model using the pathology outputs from the PROMIS trial Prostate Cancer and Prostatic Diseases ·Ahmed El‐Shater Bosaily, Massimo Valério, Yipeng Hu, Alex Freeman, Charles Jameson, Louise Brown, Richard Kaplan, Richard Hindley, Dean C. Barratt, Mark Emberton, Hashim U. Ahmed	2016	7
18	2012 9th IEEE International Symposium on Biomedical Imaging (ISBI) Devis Peressutti, Erik-Jan Rijkhorst, Dean C. Barratt, Graeme Penney, Andrew P. King	2012	14
19	Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions: International Workshop, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 2011, Proceedings Springer eBooks ·Anant Madabhushi, Jason Dowling, Henkjan Huisman, Dean C. Barratt	2011	2
20	Optimisation and evaluation of an electromagnetic tracking device for high-accuracy three-dimensional ultrasound imaging of the carotid arteries Ultrasound in Medicine & Biology ·Dean C. Barratt, Alun H. Davies, Alun D. Hughes, Simon Thom, K.N. Humphries	2001	42

About Dean C. Barratt

Dean C. Barratt is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Radiation and Biomedical Engineering, having authored 99 papers that have together received 3.2k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (36 papers), Medical Image Segmentation Techniques (32 papers), Medical Imaging and Analysis (18 papers), Radiomics and Machine Learning in Medical Imaging (18 papers), Advanced Neural Network Applications (14 papers), Prostate Cancer Treatment and Research (14 papers), Medical Imaging Techniques and Applications (12 papers) and Cerebrovascular and Carotid Artery Diseases (12 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.4k citations), Computer Vision and Pattern Recognition (1.1k citations), Health Informatics (71 citations), Pulmonary and Respiratory Medicine (1.1k citations) and Radiation (248 citations). Dean C. Barratt has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Yipeng Hu, Mark Emberton, Eli Gibson, Hashim U. Ahmed, Ester Bonmati, David J. Hawkes, David J. Hawkes, Matthew J. Clarkson, Brian R Davidson and Kurinchi Selvan Gurusamy. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Medical Imaging, Medical Physics, The Journal of Urology and International Journal of Computer Assisted Radiology and Surgery.

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