Dmitry B. Goldgof

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 72

Top Venues

Medical Imaging: Computer-Aided Diagnosis

SMC

CoRR

CBMS

Publications

Shashwat Kumar, Francis Hahn, Xinming Ou, Dmitry B. Goldgof, Lawrence O. Hall, Jay Ligatti, S. Raj Rajagopalan, Armin Ziaie Tabari
A Preliminary Study on Using Large Language Models in Software Pentesting. CoRR (2024)
Manas Sanjay Pakalapati, Dmitry B. Goldgof, Lawrence O. Hall, Ghada Zamzmi
Anonymized Identity Tracking: Privacy Preserving Facial Encoding. CBMS (2024)
Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton
A Review of Nuclei Detection and Segmentation on Microscopy Images Using Deep Learning With Applications to Unbiased Stereology Counting. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Abhiram Kandiyana, Peter R. Mouton, Lawrence O. Hall, Dmitry B. Goldgof
Active Prompting of Vision Language Models for Human-in-the-loop Classification and Explanation of Microscopy Images. CBMS (2024)
Jacqueline Hausmann, Md Sirajus Salekin, Ghada Zamzmi, Peter R. Mouton, Stephanie Prescott, Thao Ho, Yu Sun, Dmitry B. Goldgof
Accurate Neonatal Face Detection for Improved Pain Classification in the Challenging NICU Setting. IEEE Access 12 (2024)
Md Imran Hossain, Ghada Zamzmi, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof
Enhancing Concept-Based Explanation with Vision-Language Models. CBMS (2024)
Hunter Morera, Palak Dave, Saeed S. Alahmari, Yaroslav Kolinko, Lawrence O. Hall, Dmitry B. Goldgof, Peter R. Mouton
MIMO YOLO - A Multiple Input Multiple Output Model for Automatic Cell Counting. CBMS (2023)
Nikolai Fetisov, Lawrence O. Hall, Dmitry B. Goldgof, Matthew B. Schabath
Unsupervised Prostate Cancer Histopathology Image Segmentation via Meta-Learning. CBMS (2023)
Md Imran Hossain, Ghada Zamzmi, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof
Enhancing Neonatal Pain Assessment Transparency via Explanatory Training Examples Identification. CBMS (2023)
Hunter Morera, Palak Dave, Yaroslav Kolinko, Kurtis Allen, Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton
Classification of global microglia proliferation based on deep learning with local images. Medical Imaging: Image Processing (2022)
Hunter Morera, Roshan Warman, Azubuogu Anudu, Chukwudumebi Uche, Ivana Radosavljevic, Nikhil Reddy, Ahan Kayastha, Niharika Baviriseaty, Rahul Mhaskar, Andrew A. Borkowski, Patrick Brady, Satish Singh, Gerard Mullin, José Lezama, Lawrence O. Hall, Dmitry B. Goldgof, Gitanjali Vidyarthi
Reduction of Video Capsule Endoscopy Reading Times Using Deep Learning with Small Data. Algorithms 15 (10) (2022)
Jacqueline Hausmann, Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Yu Sun
Robust Neonatal Face Detection in Real-world Clinical Settings. CoRR (2022)
Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Peter R. Mouton, Kanwaljeet J. S. Anand, Terri Ashmeade, Stephanie Prescott, Yangxin Huang, Yu Sun
Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation. MICCAI (3) (2022)
Ghada Zamzmi, Chih-Yun Pai, Dmitry B. Goldgof, Rangachar Kasturi, Terri Ashmeade, Yu Sun
A Comprehensive and Context-Sensitive Neonatal Pain Assessment Using Computer Vision. IEEE Trans. Affect. Comput. 13 (1) (2022)
Kaoutar Ben Ahmed, Lawrence O. Hall, Dmitry B. Goldgof, Ryan Fogarty
Achieving Multisite Generalization for CNN-Based Disease Diagnosis Models by Mitigating Shortcut Learning. IEEE Access 10 (2022)
Kaoutar Ben Ahmed, Gregory M. Goldgof, Rahul Paul, Dmitry B. Goldgof, Lawrence O. Hall
Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification. IEEE Access 9 (2021)
Rahul Paul, Sherzod Kariev, Dmitry Cherezov, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof
Deep radiomics: deep learning on radiomics texture images. Medical Imaging: Computer-Aided Diagnosis (2021)
Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
Multimodal spatio-temporal deep learning approach for neonatal postoperative pain assessment. Comput. Biol. Medicine 129 (2021)
Sidharth Srivatsav Sribhashyam, Md Sirajus Salekin, Dmitry B. Goldgof, Ghada Zamzmi, Yu Sun
Pattern Recognition in Vital Signs Using Spectrograms. CoRR (2021)
Yoganand Balagurunathan, Andrew Beers, Michael F. McNitt-Gray, Lubomir M. Hadjiiski, Sandy Napel, Dmitry B. Goldgof, Gustavo Pérez, Pablo Arbelaez, Alireza Mehrtash, Tina Kapur, Ehwa Yang, Jung Won Moon, Gabriel Bernardino Perez, Ricard Delgado-Gonzalo, Mohammad Mehdi Farhangi, Amir A. Amini, Renkun Ni, Xue Feng, Aditya Bagari, Kiran Vaidhya, Benjamin Veasey, Wiem Safta, Hichem Frigui, Joseph Enguehard, Ali Gholipour, Laura Silvana Castillo, Laura Alexandra Daza, Paul F. Pinsky, Jayashree Kalpathy-Cramer, Keyvan Farahani
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans. Medical Imaging 40 (12) (2021)
Kaoutar Ben Ahmed, Lawrence O. Hall, Dmitry B. Goldgof, Gregory M. Goldgof, Rahul Paul
Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders. CoRR (2021)
Sidharth Srivatsav Sribhashyam, Md Sirajus Salekin, Dmitry B. Goldgof, Ghada Zamzmi, Mark Last, Yu Sun
Pattern Recognition in Vital Signs Using Spectrograms. SMC (2021)
Diego Fabiano, Shaun J. Canavan, Heather Agazzi, Saurabh Hinduja, Dmitry B. Goldgof
Gaze-based classification of autism spectrum disorder. Pattern Recognit. Lett. 135 (2020)
Saeed S. Alahmari, Dmitry B. Goldgof, Peter R. Mouton, Lawrence O. Hall
Challenges for the Repeatability of Deep Learning Models. IEEE Access 8 (2020)
Rahul Paul, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof
Mitigating Adversarial Attacks on Medical Image Understanding Systems. ISBI (2020)
Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment. CoRR (2020)
Lawrence O. Hall, Rahul Paul, Dmitry B. Goldgof, Gregory M. Goldgof
Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset. CoRR (2020)
Rahul Paul, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof
Convolutional Neural Network ensembles for accurate lung nodule malignancy prediction 2 years in the future. Comput. Biol. Medicine 122 (2020)
Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
First Investigation Into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain. CoRR (2020)
Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
First Investigation into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain. FG (2020)
Ghada Zamzmi, Rahul Paul, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun
Pain Assessment From Facial Expression: Neonatal Convolutional Neural Network (N-CNN). IJCNN (2019)
C.-Y. Pai, H. Morera, Sudeep Sarkar, K. Hall, L. Cowan, P. A. Toyinbo, M. J. Peterson, Dmitry B. Goldgof
Automatic pressure ulcer measurement using RGB-D data. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
Multi-Channel Neural Network for Assessing Neonatal Pain from Videos. SMC (2019)
Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton
Automatic Cell Counting using Active Deep Learning and Unbiased Stereology. SMC (2019)
Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Palak Dave, Hady Ahmady Phoulady, Peter R. Mouton
Iterative Deep Learning Based Unbiased Stereology With Human-in-the-Loop. CoRR (2019)
Jean-Baptiste Subils, Joseph Perez, Peiwei Liu, Shamaria Engram, Cagri Cetin, Dmitry B. Goldgof, Natalie C. Ebner, Daniela Oliveira, Jay Ligatti
A Dual-Task Interference Game-Based Experimental Framework for Comparing the Usability of Authentication Methods. HSI (2019)
Jay Ligatti, Cagri Cetin, Shamaria Engram, Jean-Baptiste Subils, Dmitry B. Goldgof
Coauthentication. SAC (2019)
Md Sirajus Salekin, Ghada Zamzmi, Rahul Paul, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound. CoRR (2019)
Cagri Cetin, Dmitry B. Goldgof, Jay Ligatti
SQL-Identifier Injection Attacks. CNS (2019)
Ghada Zamzmi, Rahul Paul, Md Sirajus Salekin, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
Convolutional Neural Networks for Neonatal Pain Assessment. IEEE Trans. Biom. Behav. Identity Sci. 1 (3) (2019)
Rahul Paul, Dmitry Cherezov, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof
Towards deep radiomics: nodule malignancy prediction using CNNs on feature images. Medical Imaging: Computer-Aided Diagnosis (2019)
Kaoutar Ben Ahmed, Lawrence O. Hall, Renhao Liu, Robert A. Gatenby, Dmitry B. Goldgof
Neuroimaging Based Survival Time Prediction of GBM Patients Using CNNs from Small Data. SMC (2019)
Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
Multi-Channel Neural Network for Assessing Neonatal Pain from Videos. CoRR (2019)
Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun
Toward Ubiquitous Assessment of Neonates' Health Condition. UbiComp/ISWC Adjunct (2018)
Ruicong Zhi, Ghada Zamzmi, Dmitry B. Goldgof, Terri Ashmeade, Tingting Li, Yu Sun
Infants' Pain Recognition Based on Facial Expression: Dynamic Hybrid Descriptions. IEICE Trans. Inf. Syst. (7) (2018)
Rahul Paul, Lawrence O. Hall, Dmitry B. Goldgof, Matthew B. Schabath, Robert J. Gillies
Predicting Nodule Malignancy using a CNN Ensemble Approach. IJCNN (2018)
Saeed S. Alahmari, Dmitry Cherezov, Dmitry B. Goldgof, Lawrence O. Hall, Robert J. Gillies, Matthew B. Schabath
Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer Screening. IEEE Access 6 (2018)
Rahul Paul, Ying Liu, Qian Li, Lawrence O. Hall, Dmitry B. Goldgof, Yoganand Balagurunathan, Matthew B. Schabath, Robert J. Gillies
Representation of Deep Features using Radiologist defined Semantic Features. IJCNN (2018)
Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Palak Dave, Hady Ahmady Phoulady, Peter R. Mouton
Iterative Deep Learning Based Unbiased Stereology with Human-in-the-Loop. ICMLA (2018)
Ghada Zamzmi, Gabriel Ruiz, Matthew Shreve, Dmitry B. Goldgof, Rangachar Kasturi, Sudeep Sarkar
A method to Suppress Facial Expression in Posed and Spontaneous Videos. CoRR (2018)
Rahul Paul, Muhammad Shafiq-ul-Hassan, Eduardo G. Moros, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof
Stability of deep features across CT scanners and field of view using a physical phantom. Medical Imaging: Computer-Aided Diagnosis (2018)
Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun
Neonatal Pain Expression Recognition Using Transfer Learning. CoRR (2018)
Hady Ahmady Phoulady, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton
A framework for nucleus and overlapping cytoplasm segmentation in cervical cytology extended depth of field and volume images. Comput. Medical Imaging Graph. 59 (2017)
Kaoutar Ben Ahmed, Lawrence O. Hall, Dmitry B. Goldgof, Renhao Liu, Robert A. Gatenby
Fine-tuning convolutional deep features for MRI based brain tumor classification. Medical Imaging: Computer-Aided Diagnosis (2017)
Ghada Zamzmi, Chih-Yun Pai, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun, Terri Ashmeade
Automated Pain Assessment in Neonates. SCIA (2) (2017)
Renhao Liu, Lawrence O. Hall, Kevin W. Bowyer, Dmitry B. Goldgof, Robert A. Gatenby, Kaoutar Ben Ahmed
Synthetic minority image over-sampling technique: How to improve AUC for glioblastoma patient survival prediction. SMC (2017)
Ekambaram Rajmadhan, Dmitry B. Goldgof, Lawrence O. Hall
Finding label noise examples in large scale datasets. SMC (2017)
Renhao Liu, Lawrence O. Hall, Dmitry B. Goldgof, Mu Zhou, Robert A. Gatenby, Kaoutar Ben Ahmed
Exploring deep features from brain tumor magnetic resonance images via transfer learning. IJCNN (2016)
Benjamin Geiger, Samuel H. Hawkins, Lawrence O. Hall, Dmitry B. Goldgof, Yoganand Balagurunathan, Robert A. Gatenby, Robert J. Gillies
Change descriptors for determining nodule malignancy in national lung screening trial CT screening images. Medical Imaging: Computer-Aided Diagnosis (2016)
Hamidreza Farhidzadeh, Joo Y. Kim, Jacob G. Scott, Dmitry B. Goldgof, Lawrence O. Hall, Louis B. Harrison
Classification of progression free survival with nasopharyngeal carcinoma tumors. Medical Imaging: Computer-Aided Diagnosis (2016)
Jayashree Kalpathy-Cramer, Binsheng Zhao, Dmitry B. Goldgof, Yuhua Gu, Xingwei Wang, Hao Yang, Yongqiang Tan, Robert J. Gillies, Sandy Napel
A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study. J. Digit. Imaging 29 (4) (2016)
Baishali Chaudhury, Mu Zhou, Hamidreza Farhidzadeh, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Robert J. Weinfurtner, Jennifer S. Drukteinis
Predicting Ki67% expression from DCE-MR images of breast tumors using textural kinetic features in tumor habitats. Medical Imaging: Computer-Aided Diagnosis (2016)
Hamidreza Farhidzadeh, Baishali Chaudhury, Jacob G. Scott, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Meera Raghavan
Signal intensity analysis of ecological defined habitat in soft tissue sarcomas to predict metastasis development. Medical Imaging: Computer-Aided Diagnosis (2016)
Dmitry Cherezov, Samuel H. Hawkins, Dmitry B. Goldgof, Lawrence O. Hall, Yoganand Balagurunathan, Robert J. Gillies, Matthew B. Schabath
Improving malignancy prediction through feature selection informed by nodule size ranges in NLST. SMC (2016)
Ekambaram Rajmadhan, Sergiy Fefilatyev, Matthew Shreve, Kurt Kramer, Lawrence O. Hall, Dmitry B. Goldgof, Rangachar Kasturi
Active cleaning of label noise. Pattern Recognit. 51 (2016)
Ghada Zamzmi, Chih-Yun Pai, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun, Terri Ashmeade
Machine-based Multimodal Pain Assessment Tool for Infants: A Review. CoRR (2016)
Rahul Paul, Samuel H. Hawkins, Lawrence O. Hall, Dmitry B. Goldgof, Robert J. Gillies
Combining deep neural network and traditional image features to improve survival prediction accuracy for lung cancer patients from diagnostic CT. SMC (2016)
Hady Ahmady Phoulady, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton
A new approach to detect and segment overlapping cells in multi-layer cervical cell volume images. ISBI (2016)
Hady Ahmady Phoulady, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton
Nucleus segmentation in histology images with hierarchical multilevel thresholding. Medical Imaging: Digital Pathology (2016)
Hady Ahmady Phoulady, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton
Automatic quantification and classification of cervical cancer via Adaptive Nucleus Shape Modeling. ICIP (2016)
Hamidreza Farhidzadeh, Dmitry B. Goldgof, Lawrence O. Hall, Jacob G. Scott, Robert A. Gatenby, Robert J. Gillies, Meera Raghavan
A quantitative histogram-based approach to predict treatment outcome for Soft Tissue Sarcomas using pre- and post-treatment MRIs. SMC (2016)
Ghada Zamzmi, Chih-Yun Pai, Dmitry B. Goldgof, Rangachar Kasturi, Terri Ashmeade, Yu Sun
An approach for automated multimodal analysis of infants' pain. ICPR (2016)
Hamidreza Farhidzadeh, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Meera Raghavan
Texture Feature Analysis to Predict Metastatic and Necrotic Soft Tissue Sarcomas. SMC (2015)
Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof, Robert J. Gillies, Robert A. Gatenby
Imbalanced learning for clinical survival group prediction of brain tumor patients. Medical Imaging: Computer-Aided Diagnosis (2015)
Hailing Zhou, Dmitry B. Goldgof, Samuel H. Hawkins, Lei Wei, Ying Liu, Douglas C. Creighton, Robert J. Gillies, Lawrence O. Hall, Saeid Nahavandi
A Robust Approach for Automated Lung Segmentation in Thoracic CT. SMC (2015)
Ghada Zamzmi, Gabriel Ruiz, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun, Terri Ashmeade
Pain assessment in infants: Towards spotting pain expression based on infants' facial strain. FG (2015)
Hamidreza Farhidzadeh, Baishali Chaudhury, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Meera Raghavan
Prediction of treatment outcome in soft tissue sarcoma based on radiologically defined habitats. Medical Imaging: Computer-Aided Diagnosis (2015)
Baishali Chaudhury, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Jennifer S. Drukteinis
Correlation Based Random Subspace Ensembles for Predicting Number of Axillary Lymph Node Metastases in Breast DCE-MRI Tumors. SMC (2015)
Baishali Chaudhury, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Jennifer S. Drukteinis
Identifying metastatic breast tumors using textural kinetic features of a contrast based habitat in DCE-MRI. Medical Imaging: Computer-Aided Diagnosis (2015)
Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof, Robin Russo, Robert J. Gillies, Robert A. Gatenby
Decoding brain cancer dynamics: a quantitative histogram-based approach using temporal MRI. Medical Imaging: Computer-Aided Diagnosis (2015)
Matthew Shreve, Mauricio Pamplona, Timur Luguev, Dmitry B. Goldgof, Sudeep Sarkar
High-resolution 3D surface strain magnitude using 2D camera and low-resolution depth sensor. Pattern Recognit. Lett. 50 (2014)
Rangachar Kasturi, Dmitry B. Goldgof, Ekambaram Rajmadhan, Gill A. Pratt, Eric Krotkov, Douglas Hackett, Yang Ran, Qinfen Zheng, Rajeev Sharma, Mark Anderson, Mark Peot, Mario Aguilar, Deepak Khosla, Yang Chen, Kyungnam Kim, Lior Elazary, Randolph C. Voorhies, Daniel F. Parks, Laurent Itti
Performance Evaluation of Neuromorphic-Vision Object Recognition Algorithms. ICPR (2014)
Hamidreza Farhidzadeh, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Meera Raghavan, Robert A. Gatenby
Prediction of treatment response and metastatic disease in soft tissue sarcoma. Medical Imaging: Computer-Aided Diagnosis (2014)
Hady Ahmady Phoulady, Baishali Chaudhury, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton, Ardeshir Hakam, Erin M. Siegel
Experiments with large ensembles for segmentation and classification of cervical cancer biopsy images. SMC (2014)
Baishali Chaudhury, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Jennifer S. Drukteinis
Using features from tumor subregions of breast DCE-MRI for estrogen receptor status prediction. SMC (2014)
Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof
Exploring Brain Tumor Heterogeneity for Survival Time Prediction. ICPR (2014)
Yoganand Balagurunathan, Virendra Kumar, Yuhua Gu, Jongphil Kim, Hua Wang, Ying Liu, Dmitry B. Goldgof, Lawrence O. Hall, René Korn, Binsheng Zhao, Lawrence H. Schwartz, Satrajit Basu, Steven Eschrich, Robert A. Gatenby, Robert J. Gillies
Test-Retest Reproducibility Analysis of Lung CT Image Features. J. Digit. Imaging 27 (6) (2014)
Baishali Chaudhury, Lawrence O. Hall, Dmitry B. Goldgof, Robert A. Gatenby, Robert J. Gillies, Jennifer S. Drukteinis
New method for predicting estrogen receptor status utilizing breast MRI texture kinetic analysis. Medical Imaging: Computer-Aided Diagnosis (2014)
Jesse Brizzi, Dmitry B. Goldgof, Sudeep Sarkar, Matthew Shreve
Optical Flow Based Expression Suppression in Video. ICPR (2014)
Dmitry B. Goldgof, Xiaoyi Jiang, Olga Regina Pereira Bellon
Special issue on depth image analysis. Pattern Recognit. Lett. 50 (2014)
Matthew Shreve, Jesse Brizzi, Sergiy Fefilatyev, Timur Luguev, Dmitry B. Goldgof, Sudeep Sarkar
Automatic expression spotting in videos. Image Vis. Comput. 32 (8) (2014)
Samuel H. Hawkins, John N. Korecki, Yoganand Balagurunathan, Yuhua Gu, Virendra Kumar, Satrajit Basu, Lawrence O. Hall, Dmitry B. Goldgof, Robert A. Gatenby, Robert J. Gillies
Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features. IEEE Access 2 (2014)
Sergiy Fefilatyev, Matthew Shreve, Dmitry B. Goldgof
Detection of the Vanishing Line of the Ocean Surface from Pairs of Scale-Invariant Keypoints. ICIAP (1) (2013)
Henry Krewer, Benjamin Geiger, Lawrence O. Hall, Dmitry B. Goldgof, Yuhua Gu, Melvyn Tockman, Robert J. Gillies
Effect of Texture Features in Computer Aided Diagnosis of Pulmonary Nodules in Low-Dose Computed Tomography. SMC (2013)
Maurício Pamplona Segundo, Sudeep Sarkar, Dmitry B. Goldgof, Luciano Silva, Olga Regina Pereira Bellon
Continuous 3D Face Authentication Using RGB-D Cameras. CVPR Workshops (2013)
Baishali Chaudhury, Hady Ahmady Phoulady, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton, Ardeshir Hakam, Erin M. Siegel
An Ensemble Algorithm Framework for Automated Stereology of Cervical Cancer. ICIAP (1) (2013)
Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof, Robert A. Gatenby, Robert J. Gillies
A Texture Feature Ranking Model for Predicting Survival Time of Brain Tumor Patients. SMC (2013)
Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof, Robert J. Gillies, Robert A. Gatenby
Survival time prediction of patients with glioblastoma multiforme tumors using spatial distance measurement. Medical Imaging: Computer-Aided Diagnosis (2013)
Yuhua Gu, Virendra Kumar, Lawrence O. Hall, Dmitry B. Goldgof, Ching-Yen Li, René Korn, Claus Bendtsen, Emmanuel Rios Velazquez, Andre Dekker, Hugo J. W. L. Aerts, Philippe Lambin, Xiuli Li, Jie Tian, Robert A. Gatenby, Robert J. Gillies
Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach. Pattern Recognit. 46 (3) (2013)
Sergiy Fefilatyev, Matthew Shreve, Kurt Kramer, Lawrence O. Hall, Dmitry B. Goldgof, Rangachar Kasturi, Kendra Daly, Andrew Remsen, Horst Bunke
Label-noise reduction with support vector machines. ICPR (2012)

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Publication Activity (10 Years)

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Dmitry B. Goldgof