Ester Bonmati

Orcid: 0000-0001-9217-5438

According to our database1, Ester Bonmati authored at least 27 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2022
Voice-Assisted Image Labeling for Endoscopic Ultrasound Classification Using Neural Networks.
IEEE Trans. Medical Imaging, 2022

Active learning using adaptable task-based prioritisation.
CoRR, 2022

Deep hashing for global registration of untracked 2D laparoscopic ultrasound to CT.
Int. J. Comput. Assist. Radiol. Surg., 2022

2021
Voice-assisted Image Labelling for Endoscopic Ultrasound Classification using Neural Networks.
CoRR, 2021

Image quality assessment for closed-loop computer-assisted lung ultrasound.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Endoscopic Ultrasound Image Synthesis Using a Cycle-Consistent Adversarial Network.
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021

2020
DeepReg: a deep learning toolkit for medical image registration.
J. Open Source Softw., 2020

Introduction to Medical Image Registration with DeepReg, Between Old and New.
CoRR, 2020

SciKit-Surgery: compact libraries for surgical navigation.
Int. J. Comput. Assist. Radiol. Surg., 2020

Assisted Probe Positioning for Ultrasound Guided Radiotherapy Using Image Sequence Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

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 Anal., 2019

2018
Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks.
IEEE Trans. Medical Imaging, 2018

Weakly-supervised convolutional neural networks for multimodal image registration.
Medical Image Anal., 2018

Novel Brain Complexity Measures Based on Information Theory.
Entropy, 2018

Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures.
Int. J. Comput. Assist. Radiol. Surg., 2018

Automatic slice segmentation of intraoperative transrectal ultrasound images using convolutional neural networks.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

Technical note: automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

Adversarial Deformation Regularization for Training Image Registration Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Label-driven weakly-supervised learning for multimodal deformarle image registration.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network.
CoRR, 2017

Label-driven weakly-supervised learning for multimodal deformable image registration.
CoRR, 2017

Brain parcellation based on information theory.
Comput. Methods Programs Biomed., 2017

Towards Image-Guided Pancreas and Biliary Endoscopy: Automatic Multi-organ Segmentation on Abdominal CT with Dense Dilated Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Study of brain complexity using information theory tools.
PhD thesis, 2016

2D-3D Registration Accuracy Estimation for Optimised Planning of Image-Guided Pancreatobiliary Interventions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Assessment of Electromagnetic Tracking Accuracy for Endoscopic Ultrasound.
Proceedings of the Computer-Assisted and Robotic Endoscopy - Third International Workshop, 2016

2015
Hierarchical clustering based on the information bottleneck method using a control process.
Pattern Anal. Appl., 2015


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