Syed Ahmed Nadeem
Orcid: 0000-0002-5933-3825Affiliations:
- University of Iowa, USA
According to our database1,
Syed Ahmed Nadeem
authored at least 17 papers
between 2016 and 2023.
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Bibliography
2023
WIREs Data. Mining. Knowl. Discov., November, 2023
Automated detection of ribs in chest CT scans and assessment of changes in their morphology between Total Lung Capacity (TLC) and Residual Volume (RV).
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023
2022
CT-based segmentation of thoracic vertebrae using deep learning and computation of the kyphotic angle.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
CT-based segmentation of pectoral muscle using deep learning and association of computed metrics with aging and sex.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
2021
A CT-Based Automated Algorithm for Airway Segmentation Using Freeze-and-Grow Propagation and Deep Learning.
IEEE Trans. Medical Imaging, 2021
Generalizability of a deep learning airway segmentation algorithm to a blinded low-dose CT dataset.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Unsupervised GAN-CIRCLE for high-resolution reconstruction of bone microstructure from low-resolution CT scans.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
2020
Anatomical labeling of human airway branches using a novel two-step machine learning and hierarchical features.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Deep learning based high-resolution reconstruction of trabecular bone microstructures from low-resolution CT scans using GAN-CIRCLE.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
Locally Adaptive Half-Max Methods for Airway Lumen-Area and Wall-Thickness and Their Repeat CT Scan Reproducibility.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
A fully automated CT-based airway segmentation algorithm using deep learning and topological leakage detection and branch augmentation approaches.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
2018
Topological leakage detection and freeze-and-grow propagation for improved CT-based airway segmentation.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
An automated airway segmentation algorithm for CT images using topological leakage detection and volume freezing.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
2017
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Novel Theory and Algorithms of Path-Gradient and Their Application to Image Segmentation.
Proceedings of the Ninth International Conference on Advances in Pattern Recognition, 2017
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017
2016
A Novel Iterative Method for Airway Tree Segmentation from CT Imaging Using Multiscale Leakage Detection.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016