Automated detection of retinal cell nuclei in 3D micro-CT images of zebrafish using support vector machine classification. - Yifu Ding; Thomas E. Tavolara; Keith Cheng (Digital Pathology, 2016)

Automated T1 bladder risk stratification based on depth of lamina propria invasion from H and E tissue biopsies: a deep learning approach. - M. Khalid Khan Niazi; Thomas E. Tavolara; Vidya Arole; Anil V. Parwani; Cheryl Lee; Metin N. Gurcan (Digital Pathology, 2018)

Generalization of tumor identification algorithms. - Muhammad Khalid Khan Niazi; Thomas E. Tavolara; Çaglar Senaras; Gary Tozbikian; Douglas J. Hartman; Vidya Arole; Liron Pantanowitz; Metin N. Gurcan (Digital Pathology, 2019)

Colorectal tumor identification by transferring knowledge from pan-cytokeratin to H&E. - Thomas E. Tavolara; Muhammad Khalid Khan Niazi; Wei Chen; Wendy L. Frankel; Metin N. Gurcan (Digital Pathology, 2019)

Segmentation of mycobacterium tuberculosis bacilli clusters from acid-fast stained lung biopsies: a deep learning approach. - Thomas E. Tavolara; Muhammad Khalid Khan Niazi; Gillian Beamer; Metin N. Gurcan (Digital Pathology, 2020)

Panoptic segmentation of wounds in a pig model. - Thomas E. Tavolara; Adam M. Jorgensen; Metin N. Gurcan; Sean V. Murphy; M. Khalid Khan Niazi (Computer-Aided Diagnosis, 2021)

Grading and localization of histological features for bioengineered kidney constructs. - Thomas E. Tavolara; Gabriel Carreno-Galeano; Metin N. Gurcan; Sang Jin Lee; M. Khalid Khan Niazi (Digital Pathology, 2021)

Identifying lung imaging biomarkers of BCG vaccination after infection with Mycobacterium tuberculosis. - Thomas E. Tavolara; M. Khalid Khan Niazi; Gillian Beamer; Metin N. Gurcan (Digital Pathology, 2021)

Identification of difficult to intubate patients from frontal face images using an ensemble of deep learning models. - Thomas E. Tavolara; Metin N. Gurcan; Scott Segal; M. Khalid Khan Niazi (Comput. Biol. Medicine, 2021)

Automatic generation of the ground truth for tumor budding using H&E stained slides. - Thomas E. Tavolara; Arijit Dutta; Martin V. Burks; Wei Chen; Wendy L. Frankel; Metin N. Gurcan; M. Khalid Khan Niazi (Digital and Computational Pathology, 2022)

Predicting HER2 scores from registered HER2 and H&E images. - Thomas E. Tavolara; M. Khalid Khan Niazi; Gary Tozbikian; Robert Wesolowski; Metin N. Gurcan (Digital and Computational Pathology, 2022)

Attention2majority: Weak multiple instance learning for regenerative kidney grading on whole slide images. - Ziyu Su; Thomas E. Tavolara; Gabriel Carreno-Galeano; Sang Jin Lee; Metin N. Gurcan; M. Khalid Khan Niazi (Medical Image Anal., 2022)

Predicting obstructive sleep apnea severity from craniofacial images using ensemble machine learning models. - Ziyu Su; Sandhya Kumar; Thomas E. Tavolara; Metin N. Gurcan; Scott Segal; M. Khalid Khan Niazi (Computer-Aided Diagnosis, 2023)

Minimizing the intra-pathologist disagreement for tumor bud detection on H&E images using weakly supervised learning. - Thomas E. Tavolara; Wei Chen; Wendy L. Frankel; Metin N. Gurcan; M. Khalid Khan Niazi (Digital and Computational Pathology, 2023)

The effects of sparsity induction methods on attention-based multiple instance learning applied to Camelyon16. - Thomas E. Tavolara; Metin N. Gurcan; M. Khalid Khan Niazi (Digital and Computational Pathology, 2023)

Background detection affects downstream classification of Camelyon16 whole slide images. - Thomas E. Tavolara; M. Khalid Khan Niazi; Metin N. Gurcan (Digital and Computational Pathology, 2023)

Simple patch-wise transformations serve as a mechanism for slide-level augmentation for multiple instance learning applications. - Thomas E. Tavolara; M. Khalid Khan Niazi; Metin N. Gurcan (Digital and Computational Pathology, 2023)

Deep learning to predict the proportion of positive cells in CMYC-stained tissue microarrays of diffuse large B-cell lymphoma. - Thomas E. Tavolara; M. Khalid Khan Niazi; David Jaye; Christopher Flowers; Lee Cooper 001; Metin N. Gurcan (Digital and Computational Pathology, 2023)

IHCScoreGAN: An unsupervised generative adversarial network for end-to-end ki67 scoring for clinical breast cancer diagnosis. - Carl Molnar; Thomas E. Tavolara; Christopher A. Garcia; David S. McClintock; Mark D. Zarella; Wenchao Han (MIDL, 2024)

Measuring What Matters: Intrinsic Distance Preservation as a Robust Metric for Embedding Quality. - Steven N. Hart; Thomas E. Tavolara (CoRR, 2024)