Ionic Mechanisms of Triggered Activity in Atrial Cell Models. - Marta Varela; Ross Morgan; Nooshin Ghavami; Stuart James; Oleg V. Aslanidi (CinC, 2014)

Label-driven weakly-supervised learning for multimodal deformable image registration. - Yipeng Hu; Marc Modat; Eli Gibson; Nooshin Ghavami; Ester Bonmati; Caroline M. Moore; Mark Emberton; J. Alison Noble; Dean C. Barratt; Tom Vercauteren (CoRR, 2017)

Label-driven weakly-supervised learning for multimodal deformarle image registration. - Yipeng Hu; Marc Modat; Eli Gibson; Nooshin Ghavami; Ester Bonmati; Caroline M. Moore; Mark Emberton; J. Alison Noble; Dean C. Barratt; Tom Vercauteren (ISBI, 2018)

Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning. - Eli Gibson; Yipeng Hu; Nooshin Ghavami; Hashim Uddin Ahmed; Caroline M. Moore; Mark Emberton; Henkjan J. Huisman; Dean C. Barratt (MICCAI (4), 2018)

Adversarial Deformation Regularization for Training Image Registration Neural Networks. - Yipeng Hu; Eli Gibson; Nooshin Ghavami; Ester Bonmati; Caroline M. Moore; Mark Emberton; Tom Vercauteren; J. Alison Noble; Dean C. Barratt (MICCAI (1), 2018)

Automatic slice segmentation of intraoperative transrectal ultrasound images using convolutional neural networks. - Nooshin Ghavami; Yipeng Hu; Ester Bonmati; Rachael Rodell; Eli Gibson; Caroline M. Moore; Dean C. Barratt (Image-Guided Procedures, 2018)

Weakly-supervised convolutional neural networks for multimodal image registration. - Yipeng Hu; Marc Modat; Eli Gibson; Wenqi Li 001; Nooshin Ghavami; Ester Bonmati; Guotai Wang; Steven Bandula; Caroline M. Moore; Mark Emberton; Sébastien Ourselin; J. Alison Noble; et al. (Medical Image Anal., 2018)

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. - Nooshin Ghavami; Yipeng Hu; Eli Gibson; Ester Bonmati; Mark Emberton; Caroline M. Moore; Dean C. Barratt (Medical Image Anal., 2019)

Longitudinal Image Registration with Temporal-Order and Subject-Specificity Discrimination. - Qianye Yang; Yunguan Fu; Francesco Giganti; Nooshin Ghavami; Qingchao Chen; J. Alison Noble; Tom Vercauteren; Dean C. Barratt; Yipeng Hu (MICCAI (3), 2020)

A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation. - Veronika A. Zimmer; Alberto Gómez 002; Emily Skelton; Nooshin Ghavami; Robert Wright; Lei Li 020; Jacqueline Matthew; Joseph V. Hajnal; Julia A. Schnabel (ASMUS/PIPPI@MICCAI, 2020)

Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time. - Cesare Magnetti; Veronika A. M. Zimmer; Nooshin Ghavami; Emily Skelton; Jacqueline Matthew; Karen Lloyd; Joseph V. Hajnal; Julia A. Schnabel; Alberto Gómez 002 (MIUA, 2020)

Morphological Change Forecasting For Prostate Glands Using Feature-Based Registration And Kernel Density Extrapolation. - Qianye Yang; Tom Vercauteren; Yunguan Fu; Francesco Giganti; Nooshin Ghavami; Vasilis Stavrinides; Caroline M. Moore; Matthew J. Clarkson; Dean C. Barratt; Yipeng Hu (ISBI, 2021)

Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view. - Veronika A. Zimmer; Alberto Gómez 002; Emily Skelton; Robert Wright; Gavin Wheeler; Shujie Deng; Nooshin Ghavami; Karen Lloyd; Jacqueline Matthew; Bernhard Kainz; Daniel Rueckert; Joseph V. Hajnal; et al. (Medical Image Anal., 2023)