Thomas E. Tavolara
Orcid: 0000-0001-6455-3120
According to our database1,
Thomas E. Tavolara
authored at least 12 papers
between 2016 and 2024.
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Bibliography
2024
Measuring What Matters: Intrinsic Distance Preservation as a Robust Metric for Embedding Quality.
CoRR, 2024
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
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
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