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A comparison of Bayesian and non-linear regression methods for robust estimation of pharmacokinetics in DCE-MRI and how it affects cancer diagnosis.

N. Dikaios, D. Atkinson, C. Tudisca, P. Purpura, M. Forster, H. Ahmed, T. Beale, M. Emberton, and S. Punwani. Comput. Medical Imaging Graph., (2017)

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Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation.W. Yan, B. Chiu, Z. Shen, Q. Yang, T. Syer, Z. Min, S. Punwani, M. Emberton, D. Atkinson, D. Barratt and 1 other author(s). CoRR, (2023)Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation.E. Chiou, F. Giganti, S. Punwani, I. Kokkinos, and E. Panagiotaki. MICCAI (1), volume 12261 of Lecture Notes in Computer Science, page 510-520. Springer, (2020)Multi-modal pharmacokinetic modelling for DCE-MRI: using diffusion weighted imaging to constrain the local arterial input function.V. Hamy, M. Modat, R. Shipley, N. Dikaios, J. Cleary, S. Punwani, S. Ourselin, D. Atkinson, and A. Melbourne. Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90340R. SPIE, (2014)GAS: A genetic atlas selection strategy in multi-atlas segmentation framework.M. Antonelli, M. Cardoso, E. Johnston, M. Appayya, B. Presles, M. Modat, S. Punwani, and S. Ourselin. Medical Image Anal., (2019)Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion.S. Saeed, T. Syer, W. Yan, Q. Yang, M. Emberton, S. Punwani, M. Clarkson, D. Barratt, and Y. Hu. MIDL, volume 227 of Proceedings of Machine Learning Research, page 814-828. PMLR, (2023)The Impact of Using Voxel-Level Segmentation Metrics on Evaluating Multifocal Prostate Cancer Localisation.W. Yan, Q. Yang, T. Syer, Z. Min, S. Punwani, M. Emberton, D. Barratt, B. Chiu, and Y. Hu. AMAI@MICCAI, volume 13540 of Lecture Notes in Computer Science, page 128-138. Springer, (2022)Direct parametric reconstruction from undersampled (k, t)-space data in dynamic contrast enhanced MRI.N. Dikaios, S. Arridge, V. Hamy, S. Punwani, and D. Atkinson. Medical Image Anal., 18 (7): 989-1001 (2014)Cross-Modality Image Registration using a Training-Time Privileged Third Modality.Q. Yang, D. Atkinson, Y. Fu, T. Syer, W. Yan, S. Punwani, M. Clarkson, D. Barratt, T. Vercauteren, and Y. Hu. CoRR, (2022)Development and Phantom Validation of a 3-D-Ultrasound-Guided System for Targeting MRI-Visible Lesions During Transrectal Prostate Biopsy.Y. Hu, V. Kasivisvanathan, L. Simmons, M. Clarkson, S. Thompson, T. Shah, H. Ahmed, S. Punwani, D. Hawkes, M. Emberton and 2 other author(s). IEEE Trans. Biomed. Eng., 64 (4): 946-958 (2017)Robust CT Synthesis for Radiotherapy Planning: Application to the Head and Neck Region.N. Burgos, M. Cardoso, F. Guerreiro, C. Veiga, M. Modat, J. McClelland, A. Knopf, S. Punwani, D. Atkinson, S. Arridge and 2 other author(s). MICCAI (2), volume 9350 of Lecture Notes in Computer Science, page 476-484. Springer, (2015)

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A comparison of Bayesian and non-linear regression methods for robust estimation of pharmacokinetics in DCE-MRI and how it affects cancer diagnosis.

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