Alejandro P. Comellas

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Artur Wysoczanski, Nabil Ettehadi, Soroush Arabshahi, Yifei Sun, Karen Hinkley Stukovsky, Karol E. Watson, MeiLan K. Han, Erin D. Michos, Alejandro P. Comellas, Eric A. Hoffman, Andrew F. Laine, R. Graham Barr, Elsa D. Angelini

CoRR, 2024

2023

A survey on artificial intelligence in pulmonary imaging.

Punam K. Saha, Syed Ahmed Nadeem, Alejandro P. Comellas

WIREs Data. Mining. Knowl. Discov., November, 2023

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

Diedre S. Carmo, Jean Ribeiro, Alejandro P. Comellas, Joseph M. Reinhardt, Sarah E. Gerard, Letícia Rittner, Roberto A. Lotufo

CoRR, 2023

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

Diedre S. Carmo, Rosarie A. Tudas, Alejandro P. Comellas, Letícia Rittner, Roberto A. Lotufo, Joseph M. Reinhardt, Sarah E. Gerard

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).

Syed Ahmed Nadeem, Alejandro P. Comellas, Eric A. Hoffman, Punam K. Saha

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.

Syed Ahmed Nadeem, Alejandro P. Comellas, Indranil Guha, Elizabeth A. Regan, Eric A. Hoffman, Punam K. Saha

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.

Indra Narayan Dutta, Syed Ahmed Nadeem, Alejandro P. Comellas, Eric A. Hoffman, Punam K. Saha

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

Measurement of Mucociliary Transport: Novel Application of Positron Emission Tomography.

Carley G. Stewart, Brieanna Hilkin, Nicholas D. Gansemer, Susan A. Walsh, Michael R. Acevado, Vamsidhar Akurathi, Darpan N. Pandya, Alejandro P. Comellas, Thaddeus J. Wadas, David W. Dick, John J. Sunderland, David A. Stoltz, Michael J. Welsh, Mahmoud H. Abou Alaiwa

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.

Syed Ahmed Nadeem, Eric A. Hoffman, Jessica C. Sieren, Alejandro P. Comellas, Surya P. Bhatt, Igor Z. Barjaktarevic, Fereidoun Abtin, Punam K. Saha

IEEE Trans. Medical Imaging, 2021

Generalizability of a deep learning airway segmentation algorithm to a blinded low-dose CT dataset.

Syed Ahmed Nadeem, Alejandro P. Comellas, Eric A. Hoffman, Punam K. Saha

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.

Syed Ahmed Nadeem, Eric A. Hoffman, Alejandro P. Comellas, Punam K. Saha

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Registration-Invariant Biomechanical Features for Disease Staging of COPD in SPIROMICS.

Muhammad F. A. Chaudhary, Yue Pan, Di Wang, Sandeep Bodduluri, Surya P. Bhatt, Alejandro P. Comellas, Eric A. Hoffman, Gary E. Christensen, Joseph M. Reinhardt

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.

Syed Ahmed Nadeem, Eric A. Hoffman, Alejandro P. Comellas, Punam K. Saha

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020