Fully automated deep-learning section-based muscle segmentation from CT images for sarcopenia assessment von Islam, S., Kanavati, F., Arain, Z., Da Costa, O. Fadeeva, Crum, W., Aboagye, E.O., Rockall, A.G.

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364P A deep learning model for the classification of lung cancer von Toyokawa, G., Kanavati, F., Momosaki, S., Tateishi, K., Takeoka, H., Okamoto, M., Yamazaki, K., Takeo, S., Iizuka, O., Tsuneki, M.

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Supervoxel Classification Forests for Estimating Pairwise Image Correspondences von Kanavati, F, Tong, T, Misawa, K, Fujiwara, M, Mori, K, Rueckert, D, Glocker, B

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A mathematical-descriptor of tumor-mesoscopic-structure from computed-tomography images annotates prognostic and molecular-phenotypes of epithelial ovarian cancer von Lu, H, Arshad, M, Thornton, A, Avesani, G, Cunnea, P, Curry, E, Kanavati, F, Nixon, K, Williams, ST, Ali Hassan, M, Bowtell, DDL, Gabra, H, Fotopoulou, C, Rockall, A, Aboagye, E

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Bayesian Sampling Bias Correction: Training with the Right Loss Function von Folgoc, L. Le, Baltatzis, V, Alansary, A, Desai, S, Devaraj, A, Ellis, S, Manzanera, O. E. Martinez, Kanavati, F, Nair, A, Schnabel, J, Glocker, B

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Joint Supervoxel Classification Forest for Weakly-Supervised Organ Segmentation von Kanavati, F, Misawa, K, Fujiwara, M, Mori, K, Rueckert, D, Glocker, B

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Automatic L3 slice detection in 3D CT images using fully-convolutional networks von Kanavati, F, Islam, S, Aboagye, EO, Rockall, A

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Fully-automated deep learning slice-based muscle estimation from CT images for sarcopenia assessment von Kanavati, F, Islam, S, Arain, Z, Aboagye, EO, Rockall, A

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Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data von Folgoc, LL, Baltatzis, V, Alansary, A, Desai, S, Devaraj, A, Ellis, S, Manzanera, OEM, Kanavati, F, Nair, A, Schnabel, J, Glocker, B

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Bayesian sampling bias correction: training with the right loss function von Folgoc, LL, Baltatzis, V, Alansary, A, Desai, S, Devaraj, A, Ellis, S, Manzanera, OEM, Kanavati, F, Nair, A, Schnabel, J, Glocker, B

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Bayesian Sampling Bias Correction: Training with the Right Loss Function von L Le Folgoc, Baltatzis, V, Alansary, A, Desai, S, Devaraj, A, Ellis, S, Martinez Manzanera, O E, Kanavati, F, Nair, A, Schnabel, J, Glocker, B

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