Publications by authors named "Dmitry B Goldgof"

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DeepHeme, a high-performance, generalizable deep ensemble for bone marrow morphometry and hematologic diagnosis.
Shenghuan Sun, Zhanghan Yin, Jacob G Van Cleave, Linlin Wang, Brenda Fried, Dmitry B Goldgof, Gregory M Goldgof

Sci Transl Med· June 2025

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DeepHeme: A generalizable, bone marrow classifier with hematopathologist-level performance.
Gregory M Goldgof, Shenghuan Sun, Jacob Van Cleave, Linlin Wang, Fabienne Lucas, Dmitry B Goldgof

bioRxiv· February 2023

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Ensembles of Convolutional Neural Networks for Survival Time Estimation of High-Grade Glioma Patients from Multimodal MRI.
Kaoutar Ben Ahmed, Lawrence O Hall, Dmitry B Goldgof, Robert Gatenby

Diagnostics (Basel)· January 2022

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Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification.
Kaoutar Ben Ahmed, Gregory M Goldgof, Rahul Paul, Dmitry B Goldgof, Lawrence O Hall

IEEE Access· May 2021

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Lung Nodule Sizes Are Encoded When Scaling CT Image for CNN's.
Dmitry Cherezov, Rahul Paul, Nikolai Fetisov, Robert J Gillies, Matthew B Schabath, Dmitry B Goldgof

Tomography· June 2020

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Deep Feature Stability Analysis Using CT Images of a Physical Phantom Across Scanner Manufacturers, Cartridges, Pixel Sizes, and Slice Thickness.
Rahul Paul, Mohammed Shafiq-Ul Hassan, Eduardo G Moros, Robert J Gillies, Lawrence O Hall, Dmitry B Goldgof

Tomography· June 2020

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Hybrid models for lung nodule malignancy prediction utilizing convolutional neural network ensembles and clinical data.
Rahul Paul, Matthew B Schabath, Robert Gillies, Lawrence O Hall, Dmitry B Goldgof

J Med Imaging (Bellingham)· March 2020

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Explaining Deep Features Using Radiologist-Defined Semantic Features and Traditional Quantitative Features.
Rahul Paul, Matthew Schabath, Yoganand Balagurunathan, Ying Liu, Qian Li, Dmitry B Goldgof

Tomography· March 2019

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Delta radiomic features improve prediction for lung cancer incidence: A nested case-control analysis of the National Lung Screening Trial.
Dmitry Cherezov, Samuel H Hawkins, Dmitry B Goldgof, Lawrence O Hall, Ying Liu

Cancer Med· December 2018

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Predicting malignant nodules by fusing deep features with classical radiomics features.
Rahul Paul, Samuel H Hawkins, Matthew B Schabath, Robert J Gillies, Lawrence O Hall, Dmitry B Goldgof

J Med Imaging (Bellingham)· January 2018

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Identifying spatial imaging biomarkers of glioblastoma multiforme for survival group prediction.
Mu Zhou, Baishali Chaudhury, Lawrence O Hall, Dmitry B Goldgof, Robert J Gillies

J Magn Reson Imaging· July 2017

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Deep Feature Transfer Learning in Combination with Traditional Features Predicts Survival Among Patients with Lung Adenocarcinoma.
Rahul Paul, Samuel H Hawkins, Yoganand Balagurunathan, Matthew B Schabath, Robert J Gillies, Dmitry B Goldgof

Tomography· December 2016

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Heterogeneity in intratumoral regions with rapid gadolinium washout correlates with estrogen receptor status and nodal metastasis.
Baishali Chaudhury, Mu Zhou, Dmitry B Goldgof, Lawrence O Hall, Robert A Gatenby

J Magn Reson Imaging· November 2015

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Quantitative imaging biomarkers: a review of statistical methods for computer algorithm comparisons.
Nancy A Obuchowski, Anthony P Reeves, Erich P Huang, Xiao-Feng Wang, Andrew J Buckler, Dmitry B Goldgof

Stat Methods Med Res· February 2015

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Test-retest reproducibility analysis of lung CT image features.
Yoganand Balagurunathan, Virendra Kumar, Yuhua Gu, Jongphil Kim, Hua Wang, Dmitry B Goldgof

J Digit Imaging· December 2014

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Reproducibility and Prognosis of Quantitative Features Extracted from CT Images.
Yoganand Balagurunathan, Yuhua Gu, Hua Wang, Virendra Kumar, Olya Grove, Dmitry B Goldgof

Transl Oncol· February 2014

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Automated Delineation of Lung Tumors from CT Images Using a Single Click Ensemble Segmentation Approach.
Yuhua Gu, Virendra Kumar, Lawrence O Hall, Dmitry B Goldgof, Ching-Yen Li

Pattern Recognit· March 2013

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Radiomics: the process and the challenges.
Virendra Kumar, Yuhua Gu, Satrajit Basu, Anders Berglund, Steven A Eschrich, Dmitry B Goldgof

Magn Reson Imaging· November 2012

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A semiautomatic CT-based ensemble segmentation of lung tumors: comparison with oncologists' delineations and with the surgical specimen.
Emmanuel Rios Velazquez, Hugo J W L Aerts, Yuhua Gu, Dmitry B Goldgof, Dirk De Ruysscher

Radiother Oncol· November 2012

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Fast support vector machines for continuous data.
Kurt A Kramer, Lawrence O Hall, Dmitry B Goldgof, Andrew Remsen, Tong Luo

IEEE Trans Syst Man Cybern B Cybern· August 2009

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A Scalable Framework For Cluster Ensembles.
Prodip Hore, Lawrence O Hall, Dmitry B Goldgof

Pattern Recognit· May 2009

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A Scalable Framework For Segmenting Magnetic Resonance Images.
Prodip Hore, Lawrence O Hall, Dmitry B Goldgof, Yuhua Gu, Andrew A Maudsley

J Signal Process Syst· January 2009

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A modeling approach for burn scar assessment using natural features and elastic property.
Yong Zhang, Dmitry B Goldgof, Sudeep Sarkar, Leonid V Tsap

IEEE Trans Med Imaging· October 2004

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A methodology for extracting objective color from images.
Mark W Powell, Sudeep Sarkar, Dmitry B Goldgof, Krassimir Ivanov

IEEE Trans Syst Man Cybern B Cybern· October 2004

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Recognizing plankton images from the shadow image particle profiling evaluation recorder.
Tong Luo, Kurt Kramer, Dmitry B Goldgof, Lawrence O Hall, Scott Samson

IEEE Trans Syst Man Cybern B Cybern· August 2004

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