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Radiology. Artificial Intelligence
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April 12, 2023
Possible Flaw in Recent Publication
Thomas E Tavolara
Clinical Chemistry
|
December 17, 2024
An AI Model (LORIS) to Predict Immune Checkpoint Blockade Response in Cancer: A Clinical Data Science Perspective
Thomas E Tavolara, Wenchao Han, David S McClintock
Journal of Clinical Immunology
|
March 24, 2026
Enhancing Clinical Workflow Efficiency in Flow Cytometry Reporting with LLMs
Thomas E Tavolara, Jake Meyer, Christopher Garcia, et al.
Cancers
|
December 11, 2022
Contrastive Multiple Instance Learning: An Unsupervised Framework for Learning Slide-Level Representations of Whole Slide Histopathology Images without Labels
Thomas E Tavolara, Metin N Gurcan, M Khalid Khan Niazi
Computers in Biology and Medicine
|
August 14, 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, et al.
Seminars in Cancer Biology
|
October 13, 2023
One label is all you need: Interpretable AI-enhanced histopathology for oncology
Thomas E Tavolara, Ziyu Su, Metin N Gurcan, et al.
The Journal of Pathology. Clinical Research
|
March 6, 2025
Enhancing HER2 testing in breast cancer: predicting fluorescence in situ hybridization (FISH) scores from immunohistochemistry images via deep learning
Daniel O Macaulay, Wenchao Han, Mark D Zarella, et al.
Scientific Reports
|
December 14, 2019
A modular cGAN classification framework: Application to colorectal tumor detection
Thomas E Tavolara, M Khalid Khan Niazi, Vidya Arole, et al.
Proceedings of Spie--The International Society for Optical Engineering
|
August 4, 2023
Predicting obstructive sleep apnea severity from craniofacial images using ensemble machine learning models
Ziyu Su, Sandhya Kumar, Thomas E Tavolara, et al.
Scientific Reports
|
February 7, 2020
Author Correction: A modular cGAN classification framework: Application to colorectal tumor detection
Thomas E Tavolara, M Khalid Khan Niazi, Vidya Arole, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 20) with videos related to
Sort By:
Page
of 2
Radiology. Artificial Intelligence
|
April 12, 2023
Possible Flaw in Recent Publication
Thomas E Tavolara
Clinical Chemistry
|
December 17, 2024
An AI Model (LORIS) to Predict Immune Checkpoint Blockade Response in Cancer: A Clinical Data Science Perspective
Thomas E Tavolara, Wenchao Han, David S McClintock
Journal of Clinical Immunology
|
March 24, 2026
Enhancing Clinical Workflow Efficiency in Flow Cytometry Reporting with LLMs
Thomas E Tavolara, Jake Meyer, Christopher Garcia, et al.
Cancers
|
December 11, 2022
Contrastive Multiple Instance Learning: An Unsupervised Framework for Learning Slide-Level Representations of Whole Slide Histopathology Images without Labels
Thomas E Tavolara, Metin N Gurcan, M Khalid Khan Niazi
Computers in Biology and Medicine
|
August 14, 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, et al.
Seminars in Cancer Biology
|
October 13, 2023
One label is all you need: Interpretable AI-enhanced histopathology for oncology
Thomas E Tavolara, Ziyu Su, Metin N Gurcan, et al.
The Journal of Pathology. Clinical Research
|
March 6, 2025
Enhancing HER2 testing in breast cancer: predicting fluorescence in situ hybridization (FISH) scores from immunohistochemistry images via deep learning
Daniel O Macaulay, Wenchao Han, Mark D Zarella, et al.
Scientific Reports
|
December 14, 2019
A modular cGAN classification framework: Application to colorectal tumor detection
Thomas E Tavolara, M Khalid Khan Niazi, Vidya Arole, et al.
Proceedings of Spie--The International Society for Optical Engineering
|
August 4, 2023
Predicting obstructive sleep apnea severity from craniofacial images using ensemble machine learning models
Ziyu Su, Sandhya Kumar, Thomas E Tavolara, et al.
Scientific Reports
|
February 7, 2020
Author Correction: A modular cGAN classification framework: Application to colorectal tumor detection
Thomas E Tavolara, M Khalid Khan Niazi, Vidya Arole, et al.
Page
of 2