Nooshin Ghavami

Orcid: 0000-0002-4310-1245

According to our database1, Nooshin Ghavami authored at least 13 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view.
Medical Image Anal., 2023

2021
Morphological Change Forecasting For Prostate Glands Using Feature-Based Registration And Kernel Density Extrapolation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Longitudinal Image Registration with Temporal-Order and Subject-Specificity Discrimination.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
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.
Medical Image Anal., 2019

2018
Weakly-supervised convolutional neural networks for multimodal image registration.
Medical Image Anal., 2018

Automatic slice segmentation of intraoperative transrectal ultrasound images using convolutional neural networks.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

Adversarial Deformation Regularization for Training Image Registration Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Label-driven weakly-supervised learning for multimodal deformarle image registration.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Label-driven weakly-supervised learning for multimodal deformable image registration.
CoRR, 2017

2014
Ionic Mechanisms of Triggered Activity in Atrial Cell Models.
Proceedings of the Computing in Cardiology, CinC 2014, 2014


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