Thomas E. Tavolara

Orcid: 0000-0001-6455-3120

According to our database1, Thomas E. Tavolara authored at least 19 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Measuring What Matters: Intrinsic Distance Preservation as a Robust Metric for Embedding Quality.
CoRR, 2024

2023
Deep learning to predict the proportion of positive cells in CMYC-stained tissue microarrays of diffuse large B-cell lymphoma.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

Simple patch-wise transformations serve as a mechanism for slide-level augmentation for multiple instance learning applications.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

Background detection affects downstream classification of Camelyon16 whole slide images.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

The effects of sparsity induction methods on attention-based multiple instance learning applied to Camelyon16.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

Minimizing the intra-pathologist disagreement for tumor bud detection on H&E images using weakly supervised learning.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

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

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

Predicting HER2 scores from registered HER2 and H&E images.
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022

Automatic generation of the ground truth for tumor budding using H&E stained slides.
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 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


  Loading...