Nadieh Khalili

Orcid: 0000-0002-2255-0332

According to our database1, Nadieh Khalili authored at least 11 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Uncertainty-guided annotation enhances segmentation with the human-in-the-loop.
CoRR, 2024

2021
Structure-Preserving Multi-domain Stain Color Augmentation Using Style-Transfer with Disentangled Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Machine learning for automatic segmentation of neonatal and fetal MR brain images.
PhD thesis, 2020

Deep Learning Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography.
IEEE Trans. Medical Imaging, 2020

2019
Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis.
CoRR, 2019

Automatic brain tissue segmentation in fetal MRI using convolutional neural networks.
CoRR, 2019

Deep learning analysis of cardiac CT angiography for detection of coronary arteries with functionally significant stenosis.
CoRR, 2019

Convolutional Neural Network-Based Regression for Quantification of Brain Characteristics Using MRI.
Proceedings of the New Knowledge in Information Systems and Technologies, 2019

Generative Adversarial Network for Segmentation of Motion Affected Neonatal Brain MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2017
Automatic segmentation of the intracranialvolume in fetal MR images.
CoRR, 2017

Automatic Segmentation of the Intracranial Volume in Fetal MR Images.
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017


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