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ORCIDThomas E. Tavolara
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2020 – today
- 2024
[i1]Steven N. Hart, Thomas E. Tavolara:
Measuring What Matters: Intrinsic Distance Preservation as a Robust Metric for Embedding Quality. CoRR abs/2407.21590 (2024)- 2023
- [c16]Ziyu Su, Sandhya Kumar, Thomas E. Tavolara
, Metin N. Gurcan, Scott Segal, M. Khalid Khan Niazi:
Predicting obstructive sleep apnea severity from craniofacial images using ensemble machine learning models. Computer-Aided Diagnosis 2023 - [c15]Thomas E. Tavolara, Wei Chen, Wendy L. Frankel, Metin N. Gurcan, M. Khalid Khan Niazi:
Minimizing the intra-pathologist disagreement for tumor bud detection on H&E images using weakly supervised learning. Digital and Computational Pathology 2023 - [c14]Thomas E. Tavolara, Metin N. Gurcan, M. Khalid Khan Niazi:
The effects of sparsity induction methods on attention-based multiple instance learning applied to Camelyon16. Digital and Computational Pathology 2023 - [c13]Thomas E. Tavolara, M. Khalid Khan Niazi, Metin N. Gurcan:
Background detection affects downstream classification of Camelyon16 whole slide images. Digital and Computational Pathology 2023 - [c12]Thomas E. Tavolara, M. Khalid Khan Niazi, Metin N. Gurcan:
Simple patch-wise transformations serve as a mechanism for slide-level augmentation for multiple instance learning applications. Digital and Computational Pathology 2023 - [c11]Thomas E. Tavolara, M. Khalid Khan Niazi, David Jaye, Christopher Flowers, Lee Cooper, Metin N. Gurcan:
Deep learning to predict the proportion of positive cells in CMYC-stained tissue microarrays of diffuse large B-cell lymphoma. Digital and Computational Pathology 2023 - 2022
- [j2]Ziyu Su, Thomas E. Tavolara, Gabriel Carreno-Galeano, Sang Jin Lee, Metin N. Gurcan, M. Khalid Khan Niazi:
Attention2majority: Weak multiple instance learning for regenerative kidney grading on whole slide images. Medical Image Anal. 79: 102462 (2022) - [c10]Thomas E. Tavolara, Arijit Dutta, Martin V. Burks, Wei Chen, Wendy L. Frankel, Metin N. Gurcan, M. Khalid Khan Niazi:
Automatic generation of the ground truth for tumor budding using H&E stained slides. Digital and Computational Pathology 2022 - [c9]Thomas E. Tavolara, M. Khalid Khan Niazi, Gary Tozbikian, Robert Wesolowski, Metin N. Gurcan:
Predicting HER2 scores from registered HER2 and H&E images. Digital and Computational Pathology 2022 - 2021
- [j1]Thomas E. Tavolara, Metin N. Gurcan, Scott Segal, M. Khalid Khan Niazi:
Identification of difficult to intubate patients from frontal face images using an ensemble of deep learning models. Comput. Biol. Medicine 136: 104737 (2021) - [c8]Thomas E. Tavolara, Adam M. Jorgensen, Metin N. Gurcan, Sean V. Murphy, M. Khalid Khan Niazi:
Panoptic segmentation of wounds in a pig model. Computer-Aided Diagnosis 2021 - [c7]Thomas E. Tavolara, Gabriel Carreno-Galeano, Metin N. Gurcan, Sang Jin Lee, M. Khalid Khan Niazi:
Grading and localization of histological features for bioengineered kidney constructs. Digital Pathology 2021 - [c6]Thomas E. Tavolara, M. Khalid Khan Niazi, Gillian Beamer, Metin N. Gurcan:
Identifying lung imaging biomarkers of BCG vaccination after infection with Mycobacterium tuberculosis. Digital Pathology 2021 - 2020
- [c5]Thomas E. Tavolara, Muhammad Khalid Khan Niazi, Gillian Beamer, Metin N. Gurcan:
Segmentation of mycobacterium tuberculosis bacilli clusters from acid-fast stained lung biopsies: a deep learning approach. Digital Pathology 2020: 113200E
2010 – 2019
- 2019
- [c4]Muhammad Khalid Khan Niazi, Thomas E. Tavolara, Çaglar Senaras, Gary Tozbikian, Douglas J. Hartman, Vidya Arole, Liron Pantanowitz, Metin N. Gurcan:
Generalization of tumor identification algorithms. Digital Pathology 2019: 109560Z - [c3]Thomas E. Tavolara, Muhammad Khalid Khan Niazi, Wei Chen, Wendy L. Frankel, Metin N. Gurcan:
Colorectal tumor identification by transferring knowledge from pan-cytokeratin to H&E. Digital Pathology 2019: 1095614 - 2018
- [c2]M. Khalid Khan Niazi, Thomas E. Tavolara, Vidya Arole, Anil V. Parwani, Cheryl Lee, Metin N. Gurcan:
Automated T1 bladder risk stratification based on depth of lamina propria invasion from H and E tissue biopsies: a deep learning approach. Digital Pathology 2018: 105810H - 2016
- [c1]Yifu Ding, Thomas E. Tavolara, Keith Cheng:
Automated detection of retinal cell nuclei in 3D micro-CT images of zebrafish using support vector machine classification. Digital Pathology 2016: 97911A
Coauthor Index
aka: Metin N. Gurcan
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