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
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
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
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
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
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
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
2016
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
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
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