| Weakly-supervised convolutional neural networks for multimodal image registration Y Hu, M Modat, E Gibson, W Li, N Ghavami, E Bonmati, G Wang, ... Medical image analysis 49, 1-13, 2018 | 554 | 2018 |
| Label-driven weakly-supervised learning for multimodal deformable image registration Y Hu, M Modat, E Gibson, N Ghavami, E Bonmati, CM Moore, M Emberton, ... 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 224 | 2018 |
| Adversarial deformation regularization for training image registration neural networks Y Hu, E Gibson, N Ghavami, E Bonmati, CM Moore, M Emberton, ... International conference on medical image computing and computer-assisted …, 2018 | 115 | 2018 |
| Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI … N Ghavami, Y Hu, E Gibson, E Bonmati, M Emberton, CM Moore, ... Medical image analysis 58, 101558, 2019 | 87 | 2019 |
| Inter-site variability in prostate segmentation accuracy using deep learning E Gibson, Y Hu, N Ghavami, HU Ahmed, C Moore, M Emberton, ... International conference on medical image computing and computer-assisted …, 2018 | 86 | 2018 |
| Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time J Matthew, E Skelton, TG Day, VA Zimmer, A Gomez, G Wheeler, ... Prenatal diagnosis 42 (1), 49-59, 2022 | 52 | 2022 |
| Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view VA Zimmer, A Gomez, E Skelton, R Wright, G Wheeler, S Deng, ... Medical image analysis 83, 102639, 2023 | 38 | 2023 |
| Automatic slice segmentation of intraoperative transrectal ultrasound images using convolutional neural networks N Ghavami, Y Hu, E Bonmati, R Rodell, E Gibson, C Moore, D Barratt Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and …, 2018 | 33 | 2018 |
| Integration of spatial information in convolutional neural networks for automatic segmentation of intraoperative transrectal ultrasound images N Ghavami, Y Hu, E Bonmati, R Rodell, E Gibson, C Moore, D Barratt Journal of Medical Imaging 6 (1), 011003-011003, 2019 | 32 | 2019 |
| Medical ultrasound, and preterm, perinatal and paediatric image analysis VA Zimmer, A Gomez, E Skelton, N Ghavami, R Wright, L Li, J Matthew, ... Springer, 2020 | 28 | 2020 |
| A multi-task approach using positional information for ultrasound placenta segmentation VA Zimmer, A Gomez, E Skelton, N Ghavami, R Wright, L Li, J Matthew, ... International Workshop on Advances in Simplifying Medical Ultrasound, 264-273, 2020 | 19 | 2020 |
| Current applications and future promises of machine learning in diffusion mri D Ravi, N Ghavami, DC Alexander, A Ianus International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 16 | 2019 |
| Longitudinal image registration with temporal-order and subject-specificity discrimination Q Yang, Y Fu, F Giganti, N Ghavami, Q Chen, JA Noble, T Vercauteren, ... International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 9 | 2020 |
| Morphological change forecasting for prostate glands using feature-based registration and Kernel density extrapolation Q Yang, T Vercauteren, Y Fu, F Giganti, N Ghavami, V Stavrinides, ... 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1072-1076, 2021 | 4 | 2021 |
| Deep generative models to simulate 2D patient-specific ultrasound images in real time C Magnetti, V Zimmer, N Ghavami, E Skelton, J Matthew, K Lloyd, ... Annual Conference on Medical Image Understanding and Analysis, 423-435, 2020 | 4 | 2020 |
| Ionic mechanisms of triggered activity in atrial cell models M Varela, R Morgan, N Ghavami, S James, O Aslanidi Computing in Cardiology 2014, 1021-1024, 2014 | 2 | 2014 |
| VP17. 01: Exploring a new paradigm for the fetal anomaly ultrasound scan: artificial intelligence in real‐time. J Matthew, E Skelton, T Day, V Zimmer, A Gomez, G Wheeler, N Toussaint, ... Ultrasound in Obstetrics & Gynecology 58, 2021 | 1 | 2021 |
| Automatic analysis of medical images for change detection in prostate cancer N Ghavami UCL (University College London), 2020 | | 2020 |
| An Adapted UNet Convolutional Neural Network Architecture for Automatic Prostate MRI Segmentation N Ghavami, Y Hu, E Gibson, D Barratt | | |
Yipeng Hu (胡一鹏)University College LondonVerified email at ucl.ac.uk
