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Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures.

E. Bonmati, Y. Hu, E. Gibson, L. Uribarri, G. Keane, K. Gurusamy, B. Davidson, S. Pereira, M. Clarkson, и D. Barratt. Int. J. Comput. Assist. Radiol. Surg., 13 (6): 875-883 (2018)

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Josefine Gibson

Joel Gibson

Eli Schachtel

Eli Kolundžija

Michael Eli

Другие публикации лиц с тем же именем

Label-driven weakly-supervised learning for multimodal deformarle image registration.Y. Hu, M. Modat, E. Gibson, N. Ghavami, E. Bonmati, C. Moore, M. Emberton, J. Noble, D. Barratt, и T. Vercauteren. ISBI, стр. 1070-1074. IEEE, (2018)NiftyNet: a deep-learning platform for medical imaging.E. Gibson, W. Li, C. Sudre, L. Fidon, D. Shakir, G. Wang, Z. Eaton-Rosen, R. Gray, T. Doel, Y. Hu и 6 other автор(ы). CoRR, (2017)No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks.S. Liu, A. Setio, F. Ghesu, E. Gibson, S. Grbic, B. Georgescu, и D. Comaniciu. CoRR, (2020)2D-3D Registration Accuracy Estimation for Optimised Planning of Image-Guided Pancreatobiliary Interventions.Y. Hu, E. Bonmati, E. Gibson, J. Hipwell, D. Hawkes, S. Bandula, S. Pereira, и D. Barratt. MICCAI (1), том 9900 из Lecture Notes in Computer Science, стр. 516-524. (2016)3D-2D GAN based brain metastasis synthesis with configurable parameters for fully 3D data augmentation.G. Zhao, Y. Yoo, T. Re, J. Das, H. Wang, M. Kim, C. Shen, Y. Lee, D. Kondziolka, M. Ibrahim и 8 other автор(ы). Medical Imaging: Image Processing, том 12464 из SPIE Proceedings, SPIE, (2023)Designing image segmentation studies: Statistical power, sample size and reference standard quality.E. Gibson, Y. Hu, H. Huisman, и D. Barratt. Medical Image Anal., (2017)Registration Accuracy: How Good Is Good Enough? A Statistical Power Calculation Incorporating Image Registration Uncertainty.E. Gibson, A. Fenster, и A. Ward. MICCAI (2), Volume 7511 von Lecture Notes in Computer Science, Seite 643-650. Springer, (2012)Multiparametric MR imaging of prostate cancer foci: assessing the detectability and localizability of Gleason 7 peripheral zone cancers based on image contrasts.E. Gibson, M. Gaed, W. Hrinivich, J. Gómez, M. Moussa, C. Romagnoli, J. Mandel, M. Bastian-Jordan, D. Cool, S. Ghoul und 6 andere Autor(en). Medical Imaging: Digital Pathology, Volume 9041 von SPIE Proceedings, Seite 90410N. SPIE, (2014)Toward quantitative digital histopathology for prostate cancer: comparison of inter-slide interpolation methods for tumour measurement.M. Salarian, M. Shahedi, E. Gibson, M. Gaed, J. Gómez, M. Moussa, G. Bauman, und A. Ward. Medical Imaging: Digital Pathology, Volume 8676 von SPIE Proceedings, Seite 86760F. SPIE, (2013)Classification of prostate cancer grade using temporal ultrasound: in vivo feasibility study.S. Ghavidel, F. Imani, S. Khallaghi, E. Gibson, A. Khojaste, M. Gaed, M. Moussa, J. Gomez, D. Siemens, M. Leveridge und 5 andere Autor(en). Medical Imaging: Image-Guided Procedures, Volume 9786 von SPIE Proceedings, Seite 97860K. SPIE, (2016)