Dr Ester Bonmati Coll : WestminsterResearch

Featured Outputs

Assisted Probe Positioning for Ultrasound Guided Radiotherapy Using Image Sequence Classification
Grimwood, A., McNair, H., Hu, Y., Bonmati Coll, E., Barratt, D. and Harris, E.J. 2020. Assisted Probe Positioning for Ultrasound Guided Radiotherapy Using Image Sequence Classification. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 23rd International Conference. Lima, Peru 04 - 08 Oct 2020 Springer. https://doi.org/10.1007/978-3-030-59716-0_52

Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures
Bonmati Coll, E., Hu, Y., Gibson, E., Uribarri, L., Keane, G., Gurusami, K., Davidson, B., Pereira, S.P., Clarkson, M.J. and Barratt, D.C. 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, pp. 875-883. https://doi.org/10.1007/s11548-018-1762-2

Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalizing neural network
Bonmati Coll, E., Hu, Y., Sindhwani, N., Dietz, H.P., D'hooge, J., Barratt, D., Deprest, J. and Vercauteren, T. 2018. Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalizing neural network. Journal of Medical Imaging. 5 (2) 021206. https://doi.org/10.1117/1.jmi.5.2.021206

Assessment of Electromagnetic Tracking Accuracy for Endoscopic Ultrasound
Bonmati Coll, E., Hu, Y., Gurusamy, K., Davidson, B., Pereira, S.P., Clarkson, M.J. and Barratt, D.C. 2016. Assessment of Electromagnetic Tracking Accuracy for Endoscopic Ultrasound. Computer-Assisted and Robotic Endoscopy. CARE 2016. Athens, Greece 17 Oct 2016 Springer. https://doi.org/10.1007/978-3-319-54057-3_4

Outputs by Type

Conference paper

2020

2017

Towards image-guided pancreas and biliary endoscopy: Automatic multi-organ segmentation on abdominal CT with dense dilated networks
Gibson, E., Giganti, F., Hu, Y., Bonmati Coll, E., Bandula, S., Gurusamy, K., Davidson, B.R., Pereira, S.P., Clarkson, M.J. and Barratt, D.C. 2017. Towards image-guided pancreas and biliary endoscopy: Automatic multi-organ segmentation on abdominal CT with dense dilated networks. Medical Image Computing and Computer Assisted Intervention − MICCAI 2017. Quebec City, QC, Canada 11 - 13 Sep 2017 Springer. https://doi.org/10.1007/978-3-319-66182-7_83

2016

2D-3D Registration Accuracy Estimation for Optimised Planning of Image-Guided Pancreatobiliary Interventions
Hu, Y., Bonmati Coll, E., Gibson, E., Hipwell, J.H., Hawkes, D.J., Bandula, S., Pereira, S.P. and Barratt, D.C. 2016. 2D-3D Registration Accuracy Estimation for Optimised Planning of Image-Guided Pancreatobiliary Interventions. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016. MICCAI 2016. Athens, Greece 17 - 21 Oct 2016 Springer. https://doi.org/10.1007/978-3-319-46720-7_60

Journal article

2024

Active learning using adaptable task-based prioritisation
Shaheer U. Saeed, João Ramalhinho, Mark Pinnock, Ziyi Shen, Yunguan Fu, Nina Montaña-Brown, Ester Bonmati, Dean C. Barratt, Stephen P. Pereira, Brian Davidson, Matthew J. Clarkson and Yipeng Hu 2024. Active learning using adaptable task-based prioritisation. Medical Image Analysis. 95 103181. https://doi.org/10.1016/j.media.2024.103181

2023

Fan-Slicer: A Pycuda Package for Fast Reslicing of Ultrasound Shaped Planes
João Ramalhinho, Thomas Dowrick, Bonmati Coll, E. and Matthew J. Clarkson 2023. Fan-Slicer: A Pycuda Package for Fast Reslicing of Ultrasound Shaped Planes. Journal of Open Research Software. 11 (1), p. 3. https://doi.org/10.5334/jors.422

2022

Voice-Assisted Image Labeling for Endoscopic Ultrasound Classification Using Neural Networks
Bonmati Coll, E., Hu, Y., Grimwood, A., Johnson, G.J., Goodchild, G., Keane, M.G., Gurusamy, K., Davidson, B., Clarkson, M.J., Pereira, S.P. and Barratt, D.C. 2022. Voice-Assisted Image Labeling for Endoscopic Ultrasound Classification Using Neural Networks. IEEE Transactions on Medical Imaging. 41 (6), pp. 1311-1319. https://doi.org/10.1109/tmi.2021.3139023

2018

Novel Brain Complexity Measures Based on Information Theory
Bonmati Coll, E., Bardera, A., Feixas, M. and Boada, I. 2018. Novel Brain Complexity Measures Based on Information Theory. Entropy. 20 (7) 491. https://doi.org/10.3390/e20070491

2018

Automatic Multi-Organ Segmentation on Abdominal CT with Dense V-Networks
Gibson, E., Giganti, F., Hu, Y., Bonmati Coll, E., Bandula, S., Gurusamy, K., Davidson, B., Pereira, S.P., Clarkson, M.J. and Barratt, D.C. 2018. Automatic Multi-Organ Segmentation on Abdominal CT with Dense V-Networks. IEEE Transactions on Medical Imaging. 37 (8), pp. 1822-1834. https://doi.org/10.1109/tmi.2018.2806309

2017

Brain parcellation based on information theory
Bonmati Coll, E., Bardera, A. and Boada, I. 2017. Brain parcellation based on information theory. Computer Methods and Programs in Biomedicine. 151, pp. 203-212. https://doi.org/10.1016/j.cmpb.2017.07.012

2015

Hierarchical clustering based on the information bottleneck method using a control process
Bonmati Coll, E., Bardera, A., Boada, I., Feixas, M. and Sbert, M. 2015. Hierarchical clustering based on the information bottleneck method using a control process. Pattern Analysis and Applications (PAA). 18, pp. 619-637. https://doi.org/10.1007/s10044-015-0467-1

Article

2016

Measuring Complex Brain Networks Structure
Bonmati Ester, Bardera Anton, Boada Imma and Bonmati Coll, E. 2016. Measuring Complex Brain Networks Structure. Frontiers in Neuroinformatics. Conference Abstract: Neuroinformatics 2016. https://doi.org/10.3389/conf.fninf.2016.20.00012