Mohammadreza Negahdar

According to our database1, Mohammadreza Negahdar authored at least 20 papers between 2011 and 2023.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Predicting Outcomes in Long COVID Patients with Spatiotemporal Attention.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Quantitative Assessment of COVID-19 Lung Disease Severity: A Segmentation-based Approach.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Automatic Grading of Emphysema by Combining 3D Lung Tissue Appearance and Deformation Map Using a Two-Stream Fully Convolutional Neural Network.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

2021
Automatic localization of lung opacity in chest CT images: a real-world study.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2019
Lung tissue characterization for emphysema differential diagnosis using deep convolutional neural networks.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

An End-to-End Deep Learning Pipeline for Emphysema Quantification Using Multi-label Learning.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Automated volumetric lung segmentation of thoracic CT images using fully convolutional neural network.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Universal multi-modal deep network for classification and segmentation of medical images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Automatic extraction of disease-specific features from Doppler images.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016
Neuron-Miner: An Advanced Tool for Morphological Search and Retrieval in Neuroscientific Image Databases.
Neuroinformatics, 2016

Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

A Cross-Modality Neural Network Transform for Semi-automatic Medical Image Annotation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Medical sieve: a cognitive assistant for radiologists and cardiologists.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

2013
Comparison of indices of regional lung function from 4-D X-ray CT: Jacobian vs. strain of deformation.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Assessment of flow and hemodynamics in the carotid artery using a reduced TE 4D flow spiral phase-contrast MRI.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Effect of Venc on accuracy of velocity profiles in multi-slice phase-contrast MR imaging of stenotic flow.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Regional lung strains via a volumetric mass conserving optical flow model.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Planar deformable motion estimation incorporating mass conservation and image gradient constancy.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Estimation of affine motion from projection data using a mass conservation model.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Multi-scale optical flow including normalized mutual information for planar deformable lung motion estimation from 4D CT.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011


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