Thomas E. Tavolara

Orcid: 0000-0001-6455-3120

According to our database1, Thomas E. Tavolara authored at least 11 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Predicting obstructive sleep apnea severity from craniofacial images using ensemble machine learning models.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022
Attention2majority: Weak multiple instance learning for regenerative kidney grading on whole slide images.
Medical Image Anal., 2022

2021
Identification of difficult to intubate patients from frontal face images using an ensemble of deep learning models.
Comput. Biol. Medicine, 2021

Identifying lung imaging biomarkers of BCG vaccination after infection with Mycobacterium tuberculosis.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

Grading and localization of histological features for bioengineered kidney constructs.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

Panoptic segmentation of wounds in a pig model.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020
Segmentation of mycobacterium tuberculosis bacilli clusters from acid-fast stained lung biopsies: a deep learning approach.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

2019
Colorectal tumor identification by transferring knowledge from pan-cytokeratin to H&E.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

Generalization of tumor identification algorithms.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

2018
Automated T1 bladder risk stratification based on depth of lamina propria invasion from H and E tissue biopsies: a deep learning approach.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

2016
Automated detection of retinal cell nuclei in 3D micro-CT images of zebrafish using support vector machine classification.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016


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