Alejandro P. Comellas

Orcid: 0000-0003-1521-7520

According to our database1, Alejandro P. Comellas authored at least 13 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Bibliography

2024
Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies.
CoRR, 2024

2023
A survey on artificial intelligence in pulmonary imaging.
WIREs Data. Mining. Knowl. Discov., November, 2023

MEDPSeg: End-to-end segmentation of pulmonary structures and lesions in computed tomography.
CoRR, 2023

Automatic segmentation of lung findings in CT and application to Long COVID.
CoRR, 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

Measurement of Mucociliary Transport: Novel Application of Positron Emission Tomography.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 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

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

Registration-Invariant Biomechanical Features for Disease Staging of COPD in SPIROMICS.
Proceedings of the Thoracic Image Analysis - Second International Workshop, 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


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