Nooshin Ghavami

发表

Integration of spatial information in convolutional neural networks for automatic segmentation of intraoperative transrectal ultrasound images

Nooshin Ghavami, Yipeng Hu, Ester Bonmati, 2018, Journal of medical imaging.

Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination

Tom Vercauteren, J. Alison Noble, Nooshin Ghavami, 2020, MICCAI.

Ionic mechanisms of triggered activity in atrial cell models

Stuart James, Nooshin Ghavami, Marta Varela, 2014, Computing in Cardiology 2014.

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

Yipeng Hu, Nooshin Ghavami, Ester Bonmati, 2019, Medical Image Anal..

Current Applications and Future Promises of Machine Learning in Diffusion MRI

Daniel C. Alexander, Nooshin Ghavami, Andrada Ianuş, 2019, Computational Diffusion MRI.

Label-driven weakly-supervised learning for multimodal deformarle image registration

Marc Modat, Dean C. Barratt, J. Alison Noble, 2017, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Morphological Change Forecasting For Prostate Glands Using Feature-Based Registration And Kernel Density Extrapolation pdf

Tom Vercauteren, Nooshin Ghavami, Yipeng Hu, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation

Joseph V. Hajnal, Nooshin Ghavami, Julia A. Schnabel, 2020, ASMUS/PIPPI@MICCAI.

Adversarial Deformation Regularization for Training Image Registration Neural Networks

Dean C. Barratt, J. Alison Noble, Nooshin Ghavami, 2018, MICCAI.

Automatic slice segmentation of intraoperative transrectal ultrasound images using convolutional neural networks

Dean C. Barratt, Nooshin Ghavami, Yipeng Hu, 2018, Medical Imaging.

Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning

Dean C. Barratt, Henkjan J. Huisman, Nooshin Ghavami, 2018, MICCAI.

Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time

Nooshin Ghavami, Julia A. Schnabel, Jo Hajnal, 2020, MIUA.

Weakly-supervised convolutional neural networks for multimodal image registration

Sébastien Ourselin, Marc Modat, Dean C. Barratt, 2018, Medical Image Anal..

Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time

Daniel Rueckert, Bernhard Kainz, Reza Razavi, 2021, Prenatal diagnosis.