Gareth Funka-Lea

3.8k total citations · 2 hit papers
32 papers, 2.4k citations indexed

About

Gareth Funka-Lea is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Gareth Funka-Lea has authored 32 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 14 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Biomedical Engineering. Recurrent topics in Gareth Funka-Lea's work include Medical Image Segmentation Techniques (22 papers), Medical Imaging Techniques and Applications (9 papers) and Advanced Neural Network Applications (4 papers). Gareth Funka-Lea is often cited by papers focused on Medical Image Segmentation Techniques (22 papers), Medical Imaging Techniques and Applications (9 papers) and Advanced Neural Network Applications (4 papers). Gareth Funka-Lea collaborates with scholars based in United States, Germany and France. Gareth Funka-Lea's co-authors include Yuri Boykov, Isabelle Bloch, Elsa D. Angelini, David Lesage, Růžena Bajcsy, Marie‐Pierre Jolly, Yefeng Zheng, Hüseyin Tek, Charles Florin and Leo Grady and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, International Journal of Computer Vision and Medical Image Analysis.

In The Last Decade

Gareth Funka-Lea

32 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Graph Cuts and Efficient N-D Image Segmentation

2006 1.3k citations Yuri Boykov, Gareth Funka-Lea profile →
A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes

2009 619 citations David Lesage, Elsa D. Angelini et al. Medical Image Analysis profile →

Peers

Countries citing papers authored by Gareth Funka-Lea

Since Specialization

Citations

This map shows the geographic impact of Gareth Funka-Lea'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 Gareth Funka-Lea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gareth Funka-Lea more than expected).

Fields of papers citing papers by Gareth Funka-Lea

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gareth Funka-Lea. 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 Gareth Funka-Lea. The network helps show where Gareth Funka-Lea may publish in the future.

Co-authorship network of co-authors of Gareth Funka-Lea

This figure shows the co-authorship network connecting the top 25 collaborators of Gareth Funka-Lea. A scholar is included among the top collaborators of Gareth Funka-Lea based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gareth Funka-Lea. Gareth Funka-Lea is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Deep bleeder acoustic coagulation (DBAC)—Part I: development and in vitro testing of a research prototype cuff system 2015 ·Journal of Therapeutic Ultrasound ·K. Michael Sekins, Stephen Barnes, (unknown), (unknown), Stephen J. Hsu, (unknown), (unknown), Caroline Maleke, (unknown), (unknown), (unknown), (unknown), Gareth Funka-Lea, Stuart B. Mitchell, Barbrina Dunmire, (unknown), (unknown), Keith H.K. Wong, (unknown), Lawrence A. Crum	2
2	CTA Coronary Labeling through Efficient Geodesics between Trees Using Anatomy Priors 2014 ·Lecture notes in computer science ·Mehmet Gulsun, Gareth Funka-Lea, Yefeng Zheng, (unknown)	12
3	Robust and Accurate Coronary Artery Centerline Extraction in CTA by Combining Model-Driven and Data-Driven Approaches 2013 ·Lecture notes in computer science ·Yefeng Zheng, Hüseyin Tek, Gareth Funka-Lea	41
4	Efficient Detection of Native and Bypass Coronary Ostia in Cardiac CT Volumes: Anatomical vs. Pathological Structures 2011 ·Lecture notes in computer science ·Yefeng Zheng, Hüseyin Tek, Gareth Funka-Lea, S. Kevin Zhou, Fernando Vega-Higuera, Dorin Comaniciu	6
5	Robust and Fast Contrast Inflow Detection for 2D X-ray Fluoroscopy 2011 ·Lecture notes in computer science ·Terrence Chen, Gareth Funka-Lea, Dorin Comaniciu	5
6	Automatic Extraction of 3D Dynamic Left Ventricle Model from 2D Rotational Angiocardiogram 2011 ·Lecture notes in computer science ·Mingqing Chen, Yefeng Zheng, (unknown), Christopher Rohkohl, Guenter Lauritsch, Jan Boese, Gareth Funka-Lea, Joachim Hornegger, Dorin Comaniciu	6
7	A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes breakdown → 2009 ·Medical Image Analysis ·David Lesage, Elsa D. Angelini, Isabelle Bloch, Gareth Funka-Lea	619
8	Organ Segmentation with Level Sets Using Local Shape and Appearance Priors 2009 ·Lecture notes in computer science ·Timo Kohlberger, Mustafa Gökhan Uzunbaş, Christopher Alvino, Timor Kadir, Daniel O. Slosman, Gareth Funka-Lea	15
9	Bayesian Maximal Paths for Coronary Artery Segmentation from 3D CT Angiograms 2009 ·Lecture notes in computer science ·David Lesage, Elsa D. Angelini, Isabelle Bloch, Gareth Funka-Lea	30
10	Design and study of flux-based features for 3D vascular tracking 2009 ·David Lesage, Elsa D. Angelini, Isabelle Bloch, Gareth Funka-Lea	13
11	Soft Level Set Coupling for LV Segmentation in Gated Perfusion SPECT 2007 ·Lecture notes in computer science ·Timo Kohlberger, Gareth Funka-Lea, (unknown)	5
12	Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support 2007 ·Lecture notes in computer science ·Charles Florin, Nikos Paragios, Gareth Funka-Lea, Jim Williams	28
13	4D Shape Priors for a Level Set Segmentation of the Left Myocardium in SPECT Sequences 2006 ·Lecture notes in computer science ·Timo Kohlberger, Daniel Cremers, Mikaël Rousson, (unknown), Gareth Funka-Lea	28
14	An Energy Minimization Approach to the Data Driven Editing of Presegmented Images/Volumes 2006 ·Lecture notes in computer science ·Leo Grady, Gareth Funka-Lea	24
15	Automatic Heart Isolation for CT Coronary Visualization Using Graph-Cuts 2006 ·Gareth Funka-Lea, Yuri Boykov, Charles Florin, Marie‐Pierre Jolly, (unknown), (unknown), Daniel Rinck	48
16	Multi-modality model-based registration in the cardiac domain 2002 ·Thomas O’Donnell, (unknown), Sandra S. Halliburton, Alok Gupta, Gareth Funka-Lea, Richard D. White	6
17	The use of hybrid models to recover cardiac wall motion in tagged MR images 1996 ·Gareth Funka-Lea, Alok Gupta	4
18	A digital brain atlas and its application to the visceral neuraxis 1994 ·Journal of Neuroscience Methods ·Gareth Funka-Lea, James S. Schwaber	3
19	Active Color Image Analysis for Recognizing Shadows 1992 ·ScholarlyCommons (University of Pennsylvania) ·Gareth Funka-Lea, Růžena Bajcsy	5
20	Segmentation, Modeling And Classification Of The Compact Objects In A Pile 1990 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Alok Gupta, Gareth Funka-Lea, Kwangyoen Wohn	7

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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