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Dmitry B. Goldgof
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- affiliation: University of South Florida, Tampa, FL, USA
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2020 – today
- 2024
- [j82]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: 49122-49133 (2024) - [j81]Saeed S. Alahmari, Lawrence O. Hall, Peter R. Mouton, Dmitry B. Goldgof:
Repeatability of Fine-Tuning Large Language Models Illustrated Using QLoRA. IEEE Access 12: 153221-153231 (2024) - [j80]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): 7458-7477 (2024) - [c155]Manas Sanjay Pakalapati, Dmitry B. Goldgof, Lawrence O. Hall, Ghada Zamzmi:
Anonymized Identity Tracking: Privacy Preserving Facial Encoding. CBMS 2024: 89-93 - [c154]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: 205-212 - [c153]Md Imran Hossain, Ghada Zamzmi, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof:
Enhancing Concept-Based Explanation with Vision-Language Models. CBMS 2024: 219-224 - [i13]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 abs/2401.17459 (2024) - 2023
- [c152]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: 311-316 - [c151]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: 827-831 - [c150]Nikolai Fetisov, Lawrence O. Hall, Dmitry B. Goldgof, Matthew B. Schabath:
Unsupervised Prostate Cancer Histopathology Image Segmentation via Meta-Learning. CBMS 2023: 838-844 - 2022
- [j79]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: 78726-78738 (2022) - [j78]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): 339 (2022) - [j77]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): 28-45 (2022) - [c149]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: 749-759 - [c148]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 - [d1]Kaoutar Ben Ahmed, Gregory M. Goldgof, Rahul Paul, Dmitry B. Goldgof, Lawrence O. Hall:
COVID-19 and Pneumonia Xrays. IEEE DataPort, 2022 - [i12]Jacqueline Hausmann, Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Yu Sun:
Robust Neonatal Face Detection in Real-world Clinical Settings. CoRR abs/2204.00655 (2022) - 2021
- [j76]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: 72970-72979 (2021) - [j75]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: 104150 (2021) - [j74]Yoganand Balagurunathan, Andrew Beers, Michael F. McNitt-Gray, Lubomir M. Hadjiiski, Sandy Napel, Dmitry B. Goldgof, Gustavo Pérez, Pablo Arbeláez, 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): 3748-3761 (2021) - [c147]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 - [c146]Sidharth Srivatsav Sribhashyam, Md Sirajus Salekin, Dmitry B. Goldgof, Ghada Zamzmi, Mark Last, Yu Sun:
Pattern Recognition in Vital Signs Using Spectrograms. SMC 2021: 1133-1138 - [i11]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 abs/2102.04300 (2021) - [i10]Sidharth Srivatsav Sribhashyam, Md Sirajus Salekin, Dmitry B. Goldgof, Ghada Zamzmi, Yu Sun:
Pattern Recognition in Vital Signs Using Spectrograms. CoRR abs/2108.03168 (2021) - 2020
- [j73]Saeed S. Alahmari, Dmitry B. Goldgof, Peter R. Mouton, Lawrence O. Hall:
Challenges for the Repeatability of Deep Learning Models. IEEE Access 8: 211860-211868 (2020) - [j72]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: 103882 (2020) - [j71]Diego Fabiano, Shaun J. Canavan, Heather Agazzi, Saurabh Hinduja, Dmitry B. Goldgof:
Gaze-based classification of autism spectrum disorder. Pattern Recognit. Lett. 135: 204-212 (2020) - [c145]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: 415-419 - [c144]Rahul Paul, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof:
Mitigating Adversarial Attacks on Medical Image Understanding Systems. ISBI 2020: 1517-1521 - [i9]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 abs/2003.10601 (2020) - [i8]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 abs/2004.02060 (2020) - [i7]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 abs/2012.02175 (2020)
2010 – 2019
- 2019
- [j70]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): 192-200 (2019) - [c143]Cagri Cetin, Dmitry B. Goldgof, Jay Ligatti:
SQL-Identifier Injection Attacks. CNS 2019: 151-159 - [c142]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: 95-100 - [c141]Ghada Zamzmi, Rahul Paul, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun:
Pain Assessment From Facial Expression: Neonatal Convolutional Neural Network (N-CNN). IJCNN 2019: 1-7 - [c140]Chih-Yun Pai, Hunter Morera, Sudeep Sarkar, Kimberly S. Hall, Linda J. Cowan, Peter A. Toyinbo, Matthew J. Peterson, Dmitry B. Goldgof:
Automatic pressure ulcer measurement using RGB-D data. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 1095320 - [c139]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: 109503Z - [c138]Jay Ligatti, Cagri Cetin, Shamaria Engram, Jean-Baptiste Subils, Dmitry B. Goldgof:
Coauthentication. SAC 2019: 1906-1915 - [c137]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: 1331-1335 - [c136]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: 1551-1556 - [c135]Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton:
Automatic Cell Counting using Active Deep Learning and Unbiased Stereology. SMC 2019: 1708-1713 - [i6]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 abs/1901.04355 (2019) - [i5]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 abs/1908.09254 (2019) - [i4]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 abs/1909.02543 (2019) - 2018
- [j69]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: 77796-77806 (2018) - [j68]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. 101-D(7): 1860-1869 (2018) - [c134]Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun:
Toward Ubiquitous Assessment of Neonates' Health Condition. UbiComp/ISWC Adjunct 2018: 952-955 - [c133]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: 665-670 - [c132]Rahul Paul, Lawrence O. Hall, Dmitry B. Goldgof, Matthew B. Schabath, Robert J. Gillies:
Predicting Nodule Malignancy using a CNN Ensemble Approach. IJCNN 2018: 1-8 - [c131]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: 1-7 - [c130]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: 105753P - [i3]Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun:
Neonatal Pain Expression Recognition Using Transfer Learning. CoRR abs/1807.01631 (2018) - [i2]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 abs/1810.02401 (2018) - 2017
- [j67]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: 38-49 (2017) - [c129]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: 101342E - [c128]Ghada Zamzmi, Chih-Yun Pai, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun, Terri Ashmeade:
Automated Pain Assessment in Neonates. SCIA (2) 2017: 350-361 - [c127]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: 1357-1362 - [c126]Ekambaram Rajmadhan, Dmitry B. Goldgof, Lawrence O. Hall:
Finding label noise examples in large scale datasets. SMC 2017: 2420-2424 - 2016
- [j66]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): 476-487 (2016) - [j65]Ekambaram Rajmadhan, Sergiy Fefilatyev, Matthew Shreve, Kurt Kramer, Lawrence O. Hall, Dmitry B. Goldgof, Rangachar Kasturi:
Active cleaning of label noise. Pattern Recognit. 51: 463-480 (2016) - [c125]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: 2658-2662 - [c124]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: 4148-4153 - [c123]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: 235-242 - [c122]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: 201-204 - [c121]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: 97850T - [c120]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: 97851H - [c119]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: 97851I - [c118]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: 978535 - [c117]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: 979111 - [c116]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: 1939-1944 - [c115]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: 2570-2575 - [c114]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: 4549-4554 - [i1]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 abs/1607.00331 (2016) - 2015
- [c113]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: 1-5 - [c112]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: 94141U - [c111]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: 94142K - [c110]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: 94142H - [c109]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: 941415 - [c108]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: 2164-2169 - [c107]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: 2267-2272 - [c106]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: 2798-2802 - 2014
- [j64]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: 1418-1426 (2014) - [j63]Matthew Shreve, Jesse Brizzi, Sergiy Fefilatyev, Timur Luguev, Dmitry B. Goldgof, Sudeep Sarkar:
Automatic expression spotting in videos. Image Vis. Comput. 32(8): 476-486 (2014) - [j62]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): 805-823 (2014) - [j61]Dmitry B. Goldgof, Xiaoyi Jiang, Olga Regina Pereira Bellon:
Special issue on depth image analysis. Pattern Recognit. Lett. 50: 1-2 (2014) - [j60]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: 34-42 (2014) - [c105]Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof:
Exploring Brain Tumor Heterogeneity for Survival Time Prediction. ICPR 2014: 580-585 - [c104]Jesse Brizzi, Dmitry B. Goldgof, Sudeep Sarkar, Matthew Shreve:
Optical Flow Based Expression Suppression in Video. ICPR 2014: 1817-1821 - [c103]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: 2401-2406 - [c102]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: 90351V - [c101]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: 903518 - [c100]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: 870-875 - [c99]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: 2624-2629 - 2013
- [j59]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): 692-702 (2013) - [c98]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: 64-69 - [c97]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: 161-169 - [c96]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: 823-832 - [c95]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: 86702O - [c94]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: 3887-3891 - [c93]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: 4533-4538 - [e1]Xiaoyi Jiang, Olga Regina Pereira Bellon, Dmitry B. Goldgof, Takeshi Oishi:
Advances in Depth Image Analysis and Applications - International Workshop, WDIA 2012, Tsukuba, Japan, November 11, 2012, Revised Selected and Invited Papers. Lecture Notes in Computer Science 7854, Springer 2013, ISBN 978-3-642-40302-6 [contents] - 2012
- [j58]Juana Canul-Reich, Lawrence O. Hall, Dmitry B. Goldgof, John N. Korecki, Steven Eschrich:
Iterative Feature perturbation as a gene Selector for microarray Data. Int. J. Pattern Recognit. Artif. Intell. 26(5) (2012) - [c92]Baishali Chaudhury, Kurt Kramer, Daniel Elozory, Gerry Hernandez, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton:
A novel algorithm for automated counting of stained cells on thick tissue sections. CBMS 2012: 1-6 - [c91]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: 3504-3508 - [c90]Matthew Shreve, Sergiy Fefilatyev, Nestor Bonilla, Gerry Hernandez, Dmitry B. Goldgof, Sudeep Sarkar:
View-Invariant Method for Calculating 2D Optical Strain. WDIA 2012: 42-49 - 2011
- [j57]Valentina N. Korzhova, Dmitry B. Goldgof, Grigori M. Sisoev:
Model-Based Recovery of Fluid Flow Parameters from Video. Int. J. Pattern Recognit. Artif. Intell. 25(3): 309-336 (2011) - [j56]Lawrence O. Hall, Dmitry B. Goldgof:
Convergence of the Single-Pass and Online Fuzzy C-Means Algorithms. IEEE Trans. Fuzzy Syst. 19(4): 792-794 (2011) - [c89]Matthew Shreve, Neeha Jain, Dmitry B. Goldgof, Sudeep Sarkar, Walter G. Kropatsch, Chieh-Han John Tzou, Manfred Frey:
Evaluation of Facial Reconstructive Surgery on Patients with Facial Palsy Using Optical Strain. CAIP (1) 2011: 512-519 - [c88]Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Andrew Remsen:
Increased classification accuracy and speedup through pair-wise feature selection for support vector machines. CIDM 2011: 318-324 - [c87]Matthew Shreve, Sridhar Godavarthy, Dmitry B. Goldgof, Sudeep Sarkar:
Macro- and micro-expression spotting in long videos using spatio-temporal strain. FG 2011: 51-56 - [c86]Sergiy Fefilatyev, Kurt Kramer, Lawrence O. Hall, Dmitry B. Goldgof, Rangachar Kasturi, Andrew Remsen, Kendra Daly:
Detection of Anomalous Particles from the Deepwater Horizon Oil Spill Using the SIPPER3 Underwater Imaging Platform. ICDM Workshops 2011: 741-748 - [c85]Om Pavithra Bonam, Daniel Elozory, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Osvaldo Mangual, Peter R. Mouton:
Toward automated quantification of biological microstructures using unbiased stereology. Medical Imaging: Computer-Aided Diagnosis 2011: 79633G - [c84]Daniel T. Elozory, Om Pavithra Bonam, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Osvaldo Mangual, Peter R. Mouton:
Automatic location of microscopic focal planes for computerized stereology. Medical Imaging: Computer-Aided Diagnosis 2011: 79633C - [c83]John N. Korecki, Lawrence O. Hall, Dmitry B. Goldgof, Steven Eschrich:
Procedure for stability analysis of gene selection from cross-site gene expression data. SMC 2011: 909-913 - [c82]Satrajit Basu, Lawrence O. Hall, Dmitry B. Goldgof, Yuhua Gu, Virendra Kumar, Jung Choi, Robert J. Gillies, Robert A. Gatenby:
Developing a classifier model for lung tumors in CT-scan images. SMC 2011: 1306-1312 - 2010
- [j55]Joshua Candamo, Matthew Shreve, Dmitry B. Goldgof, Deborah B. Sapper, Rangachar Kasturi:
Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms. IEEE Trans. Intell. Transp. Syst. 11(1): 206-224 (2010) - [c81]Matthew Shreve, Vasant Manohar, Dmitry B. Goldgof, Sudeep Sarkar:
Face recognition under camouflage and adverse illumination. BTAS 2010: 1-6 - [c80]Lawrence O. Hall, Dmitry B. Goldgof:
On convergence properties of the singlepass and online fuzzy c-means algorithm. FUZZ-IEEE 2010: 1-3 - [c79]Joshua Candamo, Dmitry B. Goldgof, Rangachar Kasturi, Sridhar Godavarthy:
Detecting Wires in Cluttered Urban Scenes Using a Gaussian Model. ICPR 2010: 432-435 - [c78]Vasant Manohar, Matthew Shreve, Dmitry B. Goldgof, Sudeep Sarkar:
Modeling Facial Skin Motion Properties in Video and Its Application to Matching Faces across Expressions. ICPR 2010: 2122-2125 - [c77]Sergiy Fefilatyev, Dmitry B. Goldgof, Chad Lembke:
Tracking Ships from Fast Moving Camera through Image Registration. ICPR 2010: 3500-3503 - [c76]Yuhua Gu, Lawrence O. Hall, Dmitry B. Goldgof:
Evaluating scalable fuzzy clustering. SMC 2010: 873-880 - [c75]Juana Canul-Reich, Lawrence O. Hall, Dmitry B. Goldgof, Steven Eschrich:
Filtering for improved gene selection on microarray data. SMC 2010: 3250-3257
2000 – 2009
- 2009
- [j54]Rangachar Kasturi, Dmitry B. Goldgof, Padmanabhan Soundararajan, Vasant Manohar, John S. Garofolo, Rachel Bowers, Matthew Boonstra, Valentina N. Korzhova, Jing Zhang:
Framework for Performance Evaluation of Face, Text, and Vehicle Detection and Tracking in Video: Data, Metrics, and Protocol. IEEE Trans. Pattern Anal. Mach. Intell. 31(2): 319-336 (2009) - [j53]Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof:
A scalable framework for cluster ensembles. Pattern Recognit. 42(5): 676-688 (2009) - [j52]Kurt Kramer, Lawrence O. Hall, Dmitry B. Goldgof, Andrew Remsen, Tong Luo:
Fast Support Vector Machines for Continuous Data. IEEE Trans. Syst. Man Cybern. Part B 39(4): 989-1001 (2009) - [j51]Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof, Yuhua Gu, Andrew Maudsley, Ammar Darkazanli:
A Scalable Framework For Segmenting Magnetic Resonance Images. J. Signal Process. Syst. 54(1-3): 183-203 (2009) - [c74]Yuhua Gu, Lawrence O. Hall, Dmitry B. Goldgof:
Ant Clustering Using Ensembles of Partitions. MCS 2009: 283-292 - [c73]Weijian Cheng, Lawrence O. Hall, Dmitry B. Goldgof, Chuanmin Hu, Inia M. Soto:
Automatic Red Tide Detection from MODIS Satellite Images. SMC 2009: 1864-1868 - [c72]Matthew Shreve, Sridhar Godavarthy, Vasant Manohar, Dmitry B. Goldgof, Sudeep Sarkar:
Towards macro- and micro-expression spotting in video using strain patterns. WACV 2009: 1-6 - [p1]Lawrence O. Hall, Dmitry B. Goldgof, Juana Canul-Reich, Prodip Hore, Weijian Cheng, Larry Shoemaker:
Scaling Fuzzy Models. Scalable Fuzzy Algorithms for Data Management and Analysis 2009: 31-53 - 2008
- [c71]Joshua Candamo, Dmitry B. Goldgof:
Wire detection in low-altitude, urban, and low-quality video frames. ICPR 2008: 1-4 - [c70]Sergiy Fefilatyev, Dmitry B. Goldgof:
Detection and tracking of marine vehicles in video. ICPR 2008: 1-4 - [c69]Rangachar Kasturi, Noah Sulman, Thomas A. Sanocki, Dmitry B. Goldgof:
How effective is human video surveillance performance? ICPR 2008: 1-3 - [c68]Vasant Manohar, Matthew Shreve, Dmitry B. Goldgof, Sudeep Sarkar:
Finite element modeling of facial deformation in videos for computing strain pattern. ICPR 2008: 1-4 - [c67]Jing Zhang, Dmitry B. Goldgof, Rangachar Kasturi:
A new edge-based text verification approach for video. ICPR 2008: 1-4 - [c66]Yan Qiu, Xuejun Sun, Vasant Manohar, Dmitry B. Goldgof:
Towards registration of temporal mammograms by finite element simulation of MR breast volumes. Medical Imaging: Image-Guided Procedures 2008: 69182F - [c65]Xuejun Sun, Dmitry B. Goldgof, Walker H. Land:
Robust segmentation using kernel and spatial based fuzzy c-means methods on breast x-ray images. Medical Imaging: Image Processing 2008: 69143X - [c64]Juana Canul-Reich, Lawrence O. Hall, Dmitry B. Goldgof, Steven Eschrich:
Feature selection for microarray data by AUC analysis. SMC 2008: 768-773 - 2007
- [j50]Yong Zhang, Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap:
A sensitivity analysis method and its application in physics-based nonrigid motion modeling. Image Vis. Comput. 25(3): 262-273 (2007) - [j49]Leonid V. Tsap, Mark A. Duchaineau, Dmitry B. Goldgof, Min C. Shin:
Data-driven feature modeling, recognition and analysis in a discovery of supersonic cracks in multimillion-atom simulations. Pattern Recognit. 40(9): 2400-2407 (2007) - [c63]Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof:
Single Pass Fuzzy C Means. FUZZ-IEEE 2007: 1-7 - [c62]Li Chen, Dmitry B. Goldgof, Lawrence O. Hall, Steven Eschrich:
Noise-Based Feature Perturbation as a Selection Method for Microarray Data. ISBRA 2007: 237-247 - [c61]Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof:
A fuzzy c means variant for clustering evolving data streams. SMC 2007: 360-365 - [c60]Sergiy Fefilatyev, Tim V. Ivanovskiy, Lawrence O. Hall, Dmitry B. Goldgof, Shibendra S. Pobi, Halina Greenstien, Amit P. Pathak, Christopher R. Garret:
Clinical deployment of a medical expert system to increase accruals for clinical trials: Challenges. SMC 2007: 1482-1487 - [c59]Yong Zhang, Yan Qiu, Dmitry B. Goldgof, Sudeep Sarkar, Lihua Li:
3D Finite Element Modeling of Nonrigid Breast Deformation for Feature Registration in -ray and MR Images. WACV 2007: 38 - [c58]Vasant Manohar, Dmitry B. Goldgof, Sudeep Sarkar, Yong Zhang:
Facial Strain Pattern as a Soft Forensic Evidence. WACV 2007: 42 - 2006
- [j48]Yong Zhang, Lawrence O. Hall, Dmitry B. Goldgof, Sudeep Sarkar:
A constrained genetic approach for computing material property of elastic objects. IEEE Trans. Evol. Comput. 10(3): 341-357 (2006) - [c57]Vasant Manohar, Padmanabhan Soundararajan, Harish Raju, Dmitry B. Goldgof, Rangachar Kasturi, John S. Garofolo:
Performance Evaluation of Object Detection and Tracking in Video. ACCV (2) 2006: 151-161 - [c56]Vasant Manohar, Padmanabhan Soundararajan, Matthew Boonstra, Harish Raju, Dmitry B. Goldgof, Rangachar Kasturi, John S. Garofolo:
Performance Evaluation of Text Detection and Tracking in Video. Document Analysis Systems 2006: 576-587 - [c55]Sergiy Fefilatyev, Volha Smarodzinava, Lawrence O. Hall, Dmitry B. Goldgof:
Horizon Detection Using Machine Learning Techniques. ICMLA 2006: 17-21 - [c54]Valentina N. Korzhova, Dmitry B. Goldgof, Grigori M. Sisoev:
Detection of SpiralWaves in Video. ICPR (1) 2006: 396-399 - [c53]Cindy L. Bethel, Lawrence O. Hall, Dmitry B. Goldgof:
Mining for Implications in Medical Data. ICPR (1) 2006: 1212-1215 - [c52]Padmanabhan Soundararajan, Matthew Boonstra, Vasant Manohar, Valentina N. Korzhova, Dmitry B. Goldgof, Rangachar Kasturi, Shubha Prasad, Harish Raju, Rachel Bowers, John S. Garofolo:
Evaluation Framework for Video OCR. ICVGIP 2006: 829-836 - [c51]Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof:
A Cluster Ensemble Framework for Large Data sets. SMC 2006: 3342-3347 - 2005
- [j47]Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins:
Active Learning to Recognize Multiple Types of Plankton. J. Mach. Learn. Res. 6: 589-613 (2005) - [c50]Dmitry B. Goldgof:
Model Construction of Nonrigid Biological Objects from Images. ENC 2005 - [c49]Tong Luo, Lawrence O. Hall, Dmitry B. Goldgof, Andrew Remsen:
Bit Reduction Support Vector Machine. ICDM 2005: 733-736 - [c48]Yuhua Gu, Lawrence O. Hall, Dmitry B. Goldgof, Parag M. Kanade, F. Reed Murtagh:
Sequence tolerant segmentation system of brain MRI. SMC 2005: 2936-2943 - 2004
- [j46]Eugene Fink, Princeton K. Kokku, Savvas Nikiforou, Lawrence O. Hall, Dmitry B. Goldgof, Jeffrey P. Krischer:
Selection of patients for clinical trials: an interactive web-based system. Artif. Intell. Medicine 31(3): 241-254 (2004) - [j45]Min C. Shin, Leonid V. Tsap, Dmitry B. Goldgof:
Gesture recognition using Bezier curves for visualization navigation from registered 3-D data. Pattern Recognit. 37(5): 1011-1024 (2004) - [j44]Yong Zhang, Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap:
A modeling approach for burn scar assessment using natural features and elastic property. IEEE Trans. Medical Imaging 23(10): 1325-1329 (2004) - [j43]Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins:
Recognizing plankton images from the shadow image particle profiling evaluation recorder. IEEE Trans. Syst. Man Cybern. Part B 34(4): 1753-1762 (2004) - [j42]Mark W. Powell, Sudeep Sarkar, Dmitry B. Goldgof, Krassimir Ivanov:
A methodology for extracting objective color from images. IEEE Trans. Syst. Man Cybern. Part B 34(5): 1964-1978 (2004) - [j41]Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins:
Errata to "Recognizing Plankton Images From the Shadow Image Particle Profiling Evaluation Recorder". IEEE Trans. Syst. Man Cybern. Part B 34(6): 2423-2423 (2004) - [c47]Bhavesh D. Goswami, Lawrence O. Hall, Dmitry B. Goldgof, Eugene Fink, Jeffrey P. Krischer:
Using Probabilistic Methods to Optimize Data Entry in Accrual of Patients to Clinical Trials. CBMS 2004: 434- - [c46]Yong Zhang, Dmitry B. Goldgof, Sudeep Sarkar:
Significance of Elastic Properties in Physics-Based Nonrigid Motion Modeling, A Numerical Sensitivity Analysis. CVPR Workshops 2004: 21 - [c45]Yong Zhang, Sangeeta J. Kundu, Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap:
Elastic Face, An Anatomy-Based Biometrics Beyond Visible Cue. ICPR (2) 2004: 19-22 - [c44]Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins:
Active Learning to Recognize Multiple Types of Plankton. ICPR (3) 2004: 478-481 - [c43]Yan Qiu, Dmitry B. Goldgof, Lihua Li, Sudeep Sarkar, Yong Zhang, Sorin Anton:
Correspondence Recovery In 2-View Mammography. ISBI 2004: 197-200 - [c42]Yan Qiu, Lihua Li, Dmitry B. Goldgof, Sudeep Sarkar, Sorin Anton, Robert A. Clark:
Three-dimensional finite element model for lesion correspondence in breast imaging. Medical Imaging: Image Processing 2004 - 2003
- [j40]Chandra Kambhamettu, Dmitry B. Goldgof, Matthew He, Pavel Laskov:
3D nonrigid motion analysis under small deformations. Image Vis. Comput. 21(3): 229-245 (2003) - [j39]Steven Eschrich, Jingwei Ke, Lawrence O. Hall, Dmitry B. Goldgof:
Fast accurate fuzzy clustering through data reduction. IEEE Trans. Fuzzy Syst. 11(2): 262-270 (2003) - [j38]Adam W. Hoover, Dmitry B. Goldgof, Kevin W. Bowyer:
Egomotion estimation of a range camera using the space envelope. IEEE Trans. Syst. Man Cybern. Part B 33(4): 717-721 (2003) - [c41]Min C. Shin, Leonid V. Tsap, Dmitry B. Goldgof:
Towards Perceptual Interface for Visualization Navigation of Large Data Sets. CVPR Workshops 2003: 48 - [c40]Yong Chu, Lihua Li, Dmitry B. Goldgof, Yan Qiu, Robert A. Clark:
Classification of masses on mammograms using support vector machine. Medical Imaging: Image Processing 2003 - [c39]Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins:
Learning to recognize plankton. SMC 2003: 888-893 - [c38]Lavanya Nallamshetty, Steven Eschrich, David Cuthbertson, Jamie Malloy, Dmitry B. Goldgof, Angela M. Alexander, Massimo Trucco, Jorma Ilonen, Hans K. Akerblom, Jeffrey P. Krischer:
An expert system for evaluating risk in type-1 diabetes. SMC 2003: 1660-1665 - [c37]Eugene Fink, Lawrence O. Hall, Dmitry B. Goldgof, Bhavesh D. Goswami, Matthew Boonstra, Jeffrey P. Krischer:
Experiments on the automated selection of patients for clinical trials. SMC 2003: 4541-4545 - [c36]Yong Zhang, Dmitry B. Goldgof, Sudeep Sarkar:
Towards Physically-Sound Registration Using Object-Specific Properties for Regularization. WBIR 2003: 358-366 - 2002
- [j37]Mingrui Zhang, Lawrence O. Hall, Dmitry B. Goldgof:
A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms. IEEE Trans. Syst. Man Cybern. Part B 32(5): 571-582 (2002) - [c35]Yong Zhang, Lawrence O. Hall, Dmitry B. Goldgof, Sudeep Sarkar:
A constrained genetic approach for reconstructing Young's modulus of elastic objects from boundary displacement measurements. IEEE Congress on Evolutionary Computation 2002: 1003-1008 - [c34]Yong Zhang, Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap:
Tracking Objects Using Recovered Physical Motion Parameters. ICPR (2) 2002: 10-13 - [c33]Yong Zhang, Dmitry B. Goldgof, Sudeep Sarkar, Min C. Shin:
Recovering Elastic Property of Soft Tissues Using 2D Image Sequences With Limited Range Data. ICPR (1) 2002: 755-758 - 2001
- [j36]Lynn M. Fletcher-Heath, Lawrence O. Hall, Dmitry B. Goldgof, F. Reed Murtagh:
Automatic segmentation of non-enhancing brain tumors in magnetic resonance images. Artif. Intell. Medicine 21(1-3): 43-63 (2001) - [j35]Min C. Shin, Dmitry B. Goldgof, Kevin W. Bowyer:
Comparison of Edge Detector Performance through Use in an Object Recognition Task. Comput. Vis. Image Underst. 84(1): 160-178 (2001) - [j34]Mark W. Powell, Dmitry B. Goldgof:
Software Toolkit for Teaching Image Processing. Int. J. Pattern Recognit. Artif. Intell. 15(5): 833-844 (2001) - [j33]Mark W. Powell, Sudeep Sarkar, Dmitry B. Goldgof:
A Simple Strategy for Calibrating the Geometry of Light Sources. IEEE Trans. Pattern Anal. Mach. Intell. 23(9): 1022-1027 (2001) - [j32]Lin Zhou, Chandra Kambhamettu, Dmitry B. Goldgof, Kannappan Palaniappan, Frederick Hasler:
Tracking Nonrigid Motion and Structure from 2D Satellite Cloud Images without Correspondences. IEEE Trans. Pattern Anal. Mach. Intell. 23(11): 1330-1336 (2001) - [j31]Senthil Kumar, Maha Sallam, Dmitry B. Goldgof:
Matching point features under small nonrigid motion. Pattern Recognit. 34(12): 2353-2365 (2001) - [j30]Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar:
Fusion of physically-based registration and deformation modeling for nonrigid motion analysis. IEEE Trans. Image Process. 10(11): 1659-1669 (2001) - [j29]Min C. Shin, Dmitry B. Goldgof, Kevin W. Bowyer, Savvas Nikiforou:
Comparison of edge detection algorithms using a structure from motion task. IEEE Trans. Syst. Man Cybern. Part B 31(4): 589-601 (2001) - 2000
- [j28]Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar, Pauline S. Powers:
A Method for Increasing Precision and Reliability of Elasticity Analysis in Complicated Burn Scar Cases. Int. J. Pattern Recognit. Artif. Intell. 14(2): 189-210 (2000) - [j27]Mingrui Zhang, Lawrence O. Hall, Dmitry B. Goldgof, Frank E. Müller-Karger:
Knowledge-Guided Classification of Coastal Zone Color Images Off the West Florida Shelf. Int. J. Pattern Recognit. Artif. Intell. 14(8): 987-1007 (2000) - [j26]Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar:
Nonrigid Motion Analysis Based on Dynamic Refinement of Finite Element Models. IEEE Trans. Pattern Anal. Mach. Intell. 22(5): 526-543 (2000) - [c32]Mark W. Powell, Sudeep Sarkar, Dmitry B. Goldgof:
Calibration of Light Sources. CVPR 2000: 2263-2269 - [c31]Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar:
Multiscale Combination of Physically-Based Registration and Deformation Modeling. CVPR 2000: 2422-2429 - [c30]Lin Zhou, Chandra Kambhamettu, Dmitry B. Goldgof:
Fluid Structure and Motion Analysis from Multi-spectrum 2D Cloud Image Sequences. CVPR 2000: 2744-2751 - [c29]Wensheng Yao, Lawrence O. Hall, Dmitry B. Goldgof, Frank E. Müller-Karger:
Finding Green River in SeaWiFS Satellite Images. ICPR 2000: 2307-2310 - [c28]Min C. Shin, Ramprasad Balasubramanian, Dmitry B. Goldgof, Carlos Kim:
Framework of Integrating 2D Points and Curves for Tracking of 3D Nonrigid Motion and Structure. ICPR 2000: 3831-3834 - [c27]Yong Zhang, Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap:
Model-Based Nonrigid Motion Analysis Using Natural Feature Adaptive Mesh. ICPR 2000: 3839-3843 - [c26]Min C. Shin, Dmitry B. Goldgof, Carlos Kim, Jialin Zhong, Dongbai Guo:
Customizable MPEG-4 face player using real-time 2D image sequence. WACV 2000: 91-97
1990 – 1999
- 1999
- [j25]Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar:
Model-based force-driven nonrigid motion recovery from sequences of range images without point correspondences. Image Vis. Comput. 17(14): 997-1007 (1999) - [c25]Min C. Shin, Dmitry B. Goldgof, Kevin W. Bowyer:
Comparison of Edge Detectors Using an Object Recognition Task. CVPR 1999: 1360- - [c24]Lin Zhou, Chandra Kambhamettu, Dmitry B. Goldgof:
Extracting Nonrigid Motion and 3D Structure of Hurricanes from Satellite Image Sequences without Correspondences. CVPR 1999: 2280-2285 - 1998
- [j24]Adam W. Hoover, Dmitry B. Goldgof, Kevin W. Bowyer:
The Space Envelope: A Representation for 3D Scenes. Comput. Vis. Image Underst. 69(3): 310-329 (1998) - [j23]Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar, Wen-Chen Huang:
Efficient Nonlinear Finite Element Modeling of Nonrigid Objects via Optimization of Mesh Models. Comput. Vis. Image Underst. 69(3): 330-350 (1998) - [j22]Tai Wai Cheng, Dmitry B. Goldgof, Lawrence O. Hall:
Fast fuzzy clustering. Fuzzy Sets Syst. 93(1): 49-56 (1998) - [j21]Sudeep Sarkar, Dmitry B. Goldgof:
Integrating Image Computation in Undergraduate Level Data-Structure Education. Int. J. Pattern Recognit. Artif. Intell. 12(8): 1071-1080 (1998) - [j20]Adam W. Hoover, Dmitry B. Goldgof, Kevin W. Bowyer:
Dynamic-Scale Model Construction From Range Imagery. IEEE Trans. Pattern Anal. Mach. Intell. 20(12): 1352-1357 (1998) - [j19]Matthew C. Clark, Lawrence O. Hall, Dmitry B. Goldgof, Robert P. Velthuizen, F. Reed Murtagh, Martin L. Silbiger:
Automatic Tumor Segmentation Using Knowledge-Based Clustering. IEEE Trans. Medical Imaging 17(2): 187-201 (1998) - [j18]Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar, Pauline S. Powers:
A Vision-Based Technique for Objective Assessment of Burn Scars. IEEE Trans. Medical Imaging 17(4): 620-633 (1998) - [c23]Min C. Shin, Dmitry B. Goldgof, Kevin W. Bowyer:
An Objective Comparison Methodology of Edge Detection Algorithms Using a Structure from Motion Task. CVPR 1998: 190-195 - [c22]Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar:
Nonrigid Motion Analysis Based on Dynamic Refinement of Finite Element Models. CVPR 1998: 728-734 - [c21]Sanjukta Bhanja, Lynn M. Fletcher-Heath, Lawrence O. Hall, Dmitry B. Goldgof, Jeffrey P. Krischer:
A Qualitative Expert System for Clinical Trial Assignment. FLAIRS 1998: 84-88 - [c20]Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar:
Model-based Nonrigid Motion Recovery from Sequences of Range Images without Point Correspondences. ICIP (2) 1998: 218-222 - [c19]Ramprasad Balasubramanian, Dmitry B. Goldgof, Chandra Kambhamettu:
Tracking of Nonrigid Motion and 3D Structure from 2D Image Sequences without Correspondences. ICIP (1) 1998: 933-937 - [c18]Matthew C. Clark, Lawrence O. Hall, Dmitry B. Goldgof, Robert Paul Velthuizen, F. Reed Murtagh, Martin L. Silbiger:
Automatic brain tumor segmentation. Medical Imaging: Image Processing 1998 - [c17]Lynn M. Fletcher-Heath, Lawrence O. Hall, Dmitry B. Goldgof:
Segmenting nonenhancing brain tumors from normal tissues in magnetic resonance images. Medical Imaging: Image Processing 1998 - 1996
- [j17]Adam W. Hoover, Gillian Jean-Baptiste, Xiaoyi Jiang, Patrick J. Flynn, Horst Bunke, Dmitry B. Goldgof, Kevin W. Bowyer, David W. Eggert, Andrew W. Fitzgibbon, Robert B. Fisher:
An Experimental Comparison of Range Image Segmentation Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 18(7): 673-689 (1996) - [j16]Louise Stark, Kevin W. Bowyer, Adam W. Hoover, Dmitry B. Goldgof:
Recognizing object function through reasoning about partial shape descriptions and dynamic physical properties. Proc. IEEE 84(11): 1640-1656 (1996) - [c16]Senthil Kumar, Dmitry B. Goldgof:
Recovery of Global Nonrigid Motion - Based Approach Without Point Correspondences. CVPR 1996: 594-599 - [c15]Senthil Kumar, Chandra Kambhamettu, Dmitry B. Goldgof, Maha Sallam:
Model based estimation of point correspondences between boundaries undergoing nonrigid motion [digital mammography application]. ICIP (1) 1996: 359-362 - [c14]Mingrui Zhang, Lawrence O. Hall, Dmitry B. Goldgof:
Knowledge-based classification of CZCS images and monitoring of red tides off the west Florida shelf. ICPR 1996: 452-456 - 1995
- [j15]Adam W. Hoover, Dmitry B. Goldgof, Kevin W. Bowyer:
Extracting a Valid Boundary Representation from a Segmented Range Image. IEEE Trans. Pattern Anal. Mach. Intell. 17(9): 920-924 (1995) - [j14]Art Matheny, Dmitry B. Goldgof:
The Use of Three- and Four-Dimensional Surface Harmonics for Rigid and Nonrigid Shape Recovery and Representation. IEEE Trans. Pattern Anal. Mach. Intell. 17(10): 967-981 (1995) - [j13]Senthil Kumar, Song Han, Dmitry B. Goldgof, Kevin W. Bowyer:
On Recovering Hyperquadrics from Range Data. IEEE Trans. Pattern Anal. Mach. Intell. 17(11): 1079-1083 (1995) - [c13]Kannappan Palaniappan, Chandra Kambhamettu, Frederick Hasler, Dmitry B. Goldgof:
Structure and Semi-Fluid Motion Analysis of Stereoscopic Satellite Images for Cloud Tracking. ICCV 1995: 659-665 - [c12]Matthew C. Clark, Lawrence O. Hall, Dmitry B. Goldgof, Martin L. Silbiger:
Using Fuzzy Information in Knowledge Guided Segmentation of Brain Tumors. Fuzzy Logic in Artificial Intelligence 1995: 167-181 - 1994
- [j12]Chih-Tzay D. Lin, Dmitry B. Goldgof, Wen-Chen Huang:
Motion estimation from scaled orthographic projections without correspondences. Image Vis. Comput. 12(2): 95-108 (1994) - [j11]Senthil Kumar, Nathan Ranganathan, Dmitry B. Goldgof:
Parallel algorithms for circle detection in images. Pattern Recognit. 27(8): 1019-1028 (1994) - [j10]Sanjoy K. Mishra, Dmitry B. Goldgof, Chandra Kambhamettu:
Estimating non-rigid motion from point and line correspondences. Pattern Recognit. Lett. 15(6): 559-566 (1994) - [j9]Senthil Kumar, Dmitry B. Goldgof:
Automatic tracking of SPAMM grid and the estimation of deformation parameters from cardiac MR images. IEEE Trans. Medical Imaging 13(1): 122-132 (1994) - [c11]Chandra Kambhamettu, Dmitry B. Goldgof, Matthew He:
Determination of motion parameters and estimation of point correspondences in small nonrigid deformations. CVPR 1994: 943-946 - [c10]Senthil Kumar, Dmitry B. Goldgof:
A robust technique for the estimation of the deformable hyperquadrics from images. ICPR (1) 1994: 74-78 - [c9]Matthew C. Clark, Lawrence O. Hall, Chunlin Li, Dmitry B. Goldgof:
Knowledge based (re-)clustering. ICPR (2) 1994: 245-250 - [c8]Adam W. Hoover, Gillian Jean-Baptiste, Dmitry B. Goldgof, Kevin W. Bowyer:
A methodology for evaluating range image segmentation techniques. WACV 1994: 264-271 - 1993
- [j8]Wen-Chen Huang, Dmitry B. Goldgof:
Analysis of Intensity and Range Image Sequences Using Adaptive-Size Meshes. J. Vis. Commun. Image Represent. 4(4): 364-381 (1993) - [j7]Wen-Chen Huang, Dmitry B. Goldgof:
Adaptive-Size Meshes for Rigid and Nonrigid Shape Analysis and Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 15(6): 611-616 (1993) - [j6]David W. Eggert, Kevin W. Bowyer, Charles R. Dyer, Henrik I. Christensen, Dmitry B. Goldgof:
The Scale Space Aspect Graph. IEEE Trans. Pattern Anal. Mach. Intell. 15(11): 1114-1130 (1993) - [j5]Chunlin Li, Dmitry B. Goldgof, Lawrence O. Hall:
Knowledge-based classification and tissue labeling of MR images of human brain. IEEE Trans. Medical Imaging 12(4): 740-750 (1993) - [c7]Song Han, Dmitry B. Goldgof, Kevin W. Bowyer:
Using hyperquadrics for shape recovery from range data. ICCV 1993: 492-496 - 1992
- [j4]Sanjoy K. Mishra, Chandra Kambhamettu, Dmitry B. Goldgof, Thomas S. Huang:
Curvature-based nonrigid motion analysis from three-dimensional correspondences. Int. J. Imaging Syst. Technol. 4(3): 214-225 (1992) - [j3]Dmitry B. Goldgof, Hua Lee, Thomas S. Huang:
Matching and motion estimation of three-dimensional point and line sets using eigenstructure without correspondences. Pattern Recognit. 25(3): 271-286 (1992) - [c6]Chandra Kambhamettu, Dmitry B. Goldgof:
Point correspondence recovery in non-rigid motion. CVPR 1992: 222-227 - [c5]David W. Eggert, Kevin W. Bowyer, Charles R. Dyer, Henrik I. Christensen, Dmitry B. Goldgof:
The scale space aspect graph. CVPR 1992: 335-340 - [c4]Wen-Chen Huang, Dmitry B. Goldgof:
Adaptive-size physically-based models for nonrigid motion analysis. CVPR 1992: 833-835 - 1991
- [c3]Sanjoy K. Mishra, Dmitry B. Goldgof, Thomas S. Huang:
Motion analysis and epicardial deformation estimation from angiography data. CVPR 1991: 331-336 - 1990
- [j2]Dmitry B. Goldgof, Thomas S. Huang, Hua Lee:
Terrain analysis from curvature profiles. Int. J. Imaging Syst. Technol. 2(3): 169-182 (1990)
1980 – 1989
- 1989
- [b1]Dmitry B. Goldgof:
Motion estimation from three-dimensional data. University of Illinois Urbana-Champaign, USA, 1989 - [j1]Dmitry B. Goldgof, Thomas S. Huang, Hua Lee:
A Curvature-Based Approach to Terrain Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 11(11): 1213-1217 (1989) - 1988
- [c2]Dmitry B. Goldgof, Hua Lee, Thomas S. Huang:
Motion analysis of nonrigid surfaces. CVPR 1988: 375-380 - [c1]Dmitry B. Goldgof, Thomas S. Huang, Hua Lee:
Feature extraction and terrain matching. CVPR 1988: 899-904
Coauthor Index
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