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Lawrence Hall

Showing results (11-20 of 18) with videos related to

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Translational Oncology|April 29, 2014
Radiologically defined ecological dynamics and clinical outcomes in glioblastoma multiforme: preliminary resultsMu Zhou, Lawrence Hall, Dmitry Goldgof, et al.
IEEE Access : Practical Innovations, Open Solutions|January 5, 2019
Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer ScreeningSaeed S Alahmari, Dmitry Cherezov, Dmitry Goldgof, et al.
Journal of Chemical Neuroanatomy|December 31, 2018
Automated Cell Counts on Tissue Sections by Deep Learning and Unbiased StereologySaeed S Alahmari, Dmitry Goldgof, Lawrence Hall, et al.
Conference Proceedings. IEEE International Conference on Systems, Man, and Cybernetics|November 27, 2018
Improving malignancy prediction through feature selection informed by nodule size ranges in NLSTDmitry Cherezov, Samuel Hawkins, Dmitry Goldgof, et al.
Proceedings of ... International Joint Conference on Neural Networks. International Joint Conference on Neural Networks|November 17, 2018
Representation of Deep Features using Radiologist defined Semantic FeaturesRahul Paul, Ying Liu, Qian Li, et al.
Bioengineering (Basel, Switzerland)|May 25, 2024
Synergizing Deep Learning-Enabled Preprocessing and Human-AI Integration for Efficient Automatic Ground Truth GenerationChristopher Collazo, Ian Vargas, Brendon Cara, et al.
Cancers|May 16, 2023
Classifying Malignancy in Prostate Glandular Structures from Biopsy Scans with Deep LearningRyan Fogarty, Dmitry Goldgof, Lawrence Hall, et al.
Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer|July 17, 2016
Predicting Malignant Nodules from Screening CT ScansSamuel Hawkins, Hua Wang, Ying Liu, et al.
Pageof 2

Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
Translational Oncology|April 29, 2014
Radiologically defined ecological dynamics and clinical outcomes in glioblastoma multiforme: preliminary resultsMu Zhou, Lawrence Hall, Dmitry Goldgof, et al.
IEEE Access : Practical Innovations, Open Solutions|January 5, 2019
Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer ScreeningSaeed S Alahmari, Dmitry Cherezov, Dmitry Goldgof, et al.
Journal of Chemical Neuroanatomy|December 31, 2018
Automated Cell Counts on Tissue Sections by Deep Learning and Unbiased StereologySaeed S Alahmari, Dmitry Goldgof, Lawrence Hall, et al.
Conference Proceedings. IEEE International Conference on Systems, Man, and Cybernetics|November 27, 2018
Improving malignancy prediction through feature selection informed by nodule size ranges in NLSTDmitry Cherezov, Samuel Hawkins, Dmitry Goldgof, et al.
Proceedings of ... International Joint Conference on Neural Networks. International Joint Conference on Neural Networks|November 17, 2018
Representation of Deep Features using Radiologist defined Semantic FeaturesRahul Paul, Ying Liu, Qian Li, et al.
Bioengineering (Basel, Switzerland)|May 25, 2024
Synergizing Deep Learning-Enabled Preprocessing and Human-AI Integration for Efficient Automatic Ground Truth GenerationChristopher Collazo, Ian Vargas, Brendon Cara, et al.
Cancers|May 16, 2023
Classifying Malignancy in Prostate Glandular Structures from Biopsy Scans with Deep LearningRyan Fogarty, Dmitry Goldgof, Lawrence Hall, et al.
Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer|July 17, 2016
Predicting Malignant Nodules from Screening CT ScansSamuel Hawkins, Hua Wang, Ying Liu, et al.
Pageof 2