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Dmitry Goldgof

Showing results (21-30 of 50) with videos related to

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Journal of Chemical Neuroanatomy|January 11, 2019
Automatic stereology of mean nuclear size of neurons using an active contour frameworkHady Ahmady Phoulady, Dmitry Goldgof, Lawrence O Hall, et al.
Scientific Reports|March 16, 2019
Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and AggressivenessDmitry Cherezov, Dmitry Goldgof, Lawrence Hall, et al.
Journal of Imaging Informatics in Medicine|November 11, 2025
Detection of Confounders and Potential Confounders in Computed Tomography Lung DatasetsNikolai Fetisov, Wai Lone Jonathan Ho, Ghada Zamzmi, et al.
Conference Proceedings. IEEE International Conference on Systems, Man, and Cybernetics|March 20, 2023
Pattern Recognition in Vital Signs Using SpectrogramsSidharth Srivatsav Sribhashyam, Md Sirajus Salekin, 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.
Proceedings. IEEE International Symposium on Computer-Based Medical Systems|September 22, 2025
Automated Deep Learning Approach for Post-Operative Neonatal Pain Detection and Prediction through Physiological SignalsJacqueline Hausmann, Jiayi Wang, Marcia Kneusel, et al.
Journal of Chemical Neuroanatomy|December 19, 2016
Unbiased estimation of cell number using the automatic optical fractionatorPeter R Mouton, Hady Ahmady Phoulady, Dmitry Goldgof, et al.
Frontiers in Pediatrics|February 23, 2023
Neonatal pain assessment: Do we have the right tools?Amelia Llerena, Krystal Tran, Danyal Choudhary, 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.
Pageof 5

Showing results (21-30 of 50) with videos related to

Sort By:
Pageof 5
Journal of Chemical Neuroanatomy|January 11, 2019
Automatic stereology of mean nuclear size of neurons using an active contour frameworkHady Ahmady Phoulady, Dmitry Goldgof, Lawrence O Hall, et al.
Scientific Reports|March 16, 2019
Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and AggressivenessDmitry Cherezov, Dmitry Goldgof, Lawrence Hall, et al.
Journal of Imaging Informatics in Medicine|November 11, 2025
Detection of Confounders and Potential Confounders in Computed Tomography Lung DatasetsNikolai Fetisov, Wai Lone Jonathan Ho, Ghada Zamzmi, et al.
Conference Proceedings. IEEE International Conference on Systems, Man, and Cybernetics|March 20, 2023
Pattern Recognition in Vital Signs Using SpectrogramsSidharth Srivatsav Sribhashyam, Md Sirajus Salekin, 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.
Proceedings. IEEE International Symposium on Computer-Based Medical Systems|September 22, 2025
Automated Deep Learning Approach for Post-Operative Neonatal Pain Detection and Prediction through Physiological SignalsJacqueline Hausmann, Jiayi Wang, Marcia Kneusel, et al.
Journal of Chemical Neuroanatomy|December 19, 2016
Unbiased estimation of cell number using the automatic optical fractionatorPeter R Mouton, Hady Ahmady Phoulady, Dmitry Goldgof, et al.
Frontiers in Pediatrics|February 23, 2023
Neonatal pain assessment: Do we have the right tools?Amelia Llerena, Krystal Tran, Danyal Choudhary, 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.
Pageof 5