Ester Bonmati

1.8k total citations · 1 hit paper
25 papers, 985 citations indexed

About

Ester Bonmati is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ester Bonmati has authored 25 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ester Bonmati's work include Advanced Neural Network Applications (7 papers), Medical Image Segmentation Techniques (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Ester Bonmati is often cited by papers focused on Advanced Neural Network Applications (7 papers), Medical Image Segmentation Techniques (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Ester Bonmati collaborates with scholars based in United Kingdom, Spain and United States. Ester Bonmati's co-authors include Yipeng Hu, Dean C. Barratt, Eli Gibson, Matthew J. Clarkson, Brian R Davidson, Kurinchi Selvan Gurusamy, Stephen P. Pereira, Francesco Giganti, Steve Bandula and Caroline M. Moore and has published in prestigious journals such as The Journal of Urology, IEEE Transactions on Medical Imaging and Physics in Medicine and Biology.

In The Last Decade

Ester Bonmati

22 papers receiving 964 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.

Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks

2018 472 citations Eli Gibson, Francesco Giganti et al. IEEE Transactions on Medical Imaging profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ester Bonmati United Kingdom	11	564	480	286	204	139	25	985
Zhoubing Xu United States	15	627 1.1×	402 0.8×	220 0.8×	221 1.1×	151 1.1×	37	976
Kelei He China	16	580 1.0×	441 0.9×	210 0.7×	369 1.8×	135 1.0×	25	1.1k
Ali Gooya United Kingdom	17	540 1.0×	462 1.0×	228 0.8×	160 0.8×	130 0.9×	50	1.1k
Wenjian Qin China	17	562 1.0×	330 0.7×	212 0.7×	372 1.8×	124 0.9×	70	1.0k
Djamal Boukerroui France	13	650 1.2×	875 1.8×	296 1.0×	407 2.0×	140 1.0×	30	1.5k
Jiawei Sun China	17	410 0.7×	163 0.3×	146 0.5×	194 1.0×	128 0.9×	54	747
Shun Miao United States	16	456 0.8×	524 1.1×	416 1.5×	197 1.0×	87 0.6×	41	1.2k
Fa Wu China	9	692 1.2×	333 0.7×	209 0.7×	471 2.3×	78 0.6×	19	1.1k
Bob D. de Vos Netherlands	15	1.1k 2.0×	435 0.9×	679 2.4×	231 1.1×	185 1.3×	38	1.7k
Xiaokun Liang China	18	910 1.6×	268 0.6×	506 1.8×	181 0.9×	237 1.7×	71	1.3k

Countries citing papers authored by Ester Bonmati

Since Specialization

Citations

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

Fields of papers citing papers by Ester Bonmati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ester Bonmati. 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 Ester Bonmati. The network helps show where Ester Bonmati may publish in the future.

Co-authorship network of co-authors of Ester Bonmati

This figure shows the co-authorship network connecting the top 25 collaborators of Ester Bonmati. A scholar is included among the top collaborators of Ester Bonmati 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 Ester Bonmati. Ester Bonmati 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

Bonmati, Ester, et al.. (2025). Federated learning using quality-based aggregation method for brain tumour segmentation on multimodality medical images. Intelligent Systems with Applications. 28. 200601–200601.

Bonmati, Ester, et al.. (2025). Guided ultrasound acquisition for nonrigid image registration using reinforcement learning. Medical Image Analysis. 102. 103555–103555.

Wang, Yipei, Qianye Yang, Shonit Punwani, et al.. (2025). AI-assisted prostate cancer detection and localisation on biparametric MR by classifying radiologist-positives. 64–64. 1 indexed citations

Shen, Ziyi, Yunguan Fu, Ester Bonmati, et al.. (2024). Active learning using adaptable task-based prioritisation. Medical Image Analysis. 95. 103181–103181. 2 indexed citations

Dowrick, Thomas, et al.. (2023). Fan-Slicer: A Pycuda Package for Fast Reslicing of Ultrasound Shaped Planes. Journal of Open Research Software. 11. 1 indexed citations

Koo, Bong-Jin, Ester Bonmati, Kurinchi Selvan Gurusamy, et al.. (2022). Deep hashing for global registration of untracked 2D laparoscopic ultrasound to CT. International Journal of Computer Assisted Radiology and Surgery. 17(8). 1461–1468. 5 indexed citations

Bonmati, Ester, Yipeng Hu, Alexander Grimwood, et al.. (2021). Voice-Assisted Image Labeling for Endoscopic Ultrasound Classification Using Neural Networks. IEEE Transactions on Medical Imaging. 41(6). 1311–1319. 16 indexed citations

Fu, Yunguan, Adrià Casamitjana, Zachary M. C. Baum, et al.. (2020). DeepReg: a deep learning toolkit for medical image registration. The Journal of Open Source Software. 5(55). 2705–2705. 18 indexed citations

Thompson, Stephen, et al.. (2020). SciKit-Surgery: compact libraries for surgical navigation. International Journal of Computer Assisted Radiology and Surgery. 15(7). 1075–1084. 20 indexed citations

10.

Boers, Tim, Yipeng Hu, Eli Gibson, et al.. (2020). Interactive 3D U-net for the segmentation of the pancreas in computed tomography scans. Physics in Medicine and Biology. 65(6). 65002–65002. 35 indexed citations

11.

Ghavami, Nooshin, Yipeng Hu, Eli Gibson, et al.. (2019). Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration. Medical Image Analysis. 58. 101558–101558. 54 indexed citations

12.

Bonmati, Ester, et al.. (2018). Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalizing neural network. Lirias (KU Leuven). 23 indexed citations

13.

Gibson, Eli, Francesco Giganti, Yipeng Hu, et al.. (2018). Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks. IEEE Transactions on Medical Imaging. 37(8). 1822–1834. 472 indexed citations breakdown →

14.

Hu, Yipeng, Marc Modat, Eli Gibson, et al.. (2018). Weakly-supervised convolutional neural networks for multimodal image registration. Medical Image Analysis. 49. 1–13. 250 indexed citations

15.

Bonmati, Ester, Yipeng Hu, Barbara Villarini, et al.. (2018). Technical Note: Error metrics for estimating the accuracy of needle/instrument placement during transperineal magnetic resonance/ultrasound‐guided prostate interventions. Medical Physics. 45(4). 1408–1414. 4 indexed citations

16.

Bonmati, Ester, Anton Bardera, Miquel Feixas, & Imma Boada. (2018). Novel Brain Complexity Measures Based on Information Theory. Entropy. 20(7). 491–491. 6 indexed citations

17.

Bonmati, Ester, Yipeng Hu, Eli Gibson, et al.. (2018). Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures. International Journal of Computer Assisted Radiology and Surgery. 13(6). 875–883. 4 indexed citations

18.

Ghavami, Nooshin, Yipeng Hu, Ester Bonmati, et al.. (2018). Integration of spatial information in convolutional neural networks for automatic segmentation of intraoperative transrectal ultrasound images. Journal of Medical Imaging. 6(1). 1–1. 23 indexed citations

19.

Bonmati, Ester, Anton Bardera, & Imma Boada. (2017). Brain parcellation based on information theory. Computer Methods and Programs in Biomedicine. 151. 203–212. 6 indexed citations

20.

Donaldson, Ian, Dean C. Barratt, Yipeng Hu, et al.. (2017). MP33-20 THE SMARTTARGET BIOPSY TRIAL: A PROSPECTIVE PAIRED BLINDED TRIAL WITH RANDOMISATION TO COMPARE VISUAL-ESTIMATION AND IMAGE-FUSION TARGETED PROSTATE BIOPSIES. The Journal of Urology. 197(4S). 5 indexed citations

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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