Robert J. Gillies

38 papers B 13Journal 9Unranked 16

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	CancerCellTracker: a brightfield time-lapse microscopy framework for cancer drug sensitivity estimation. Bioinform. Qibing Jiang, Praneeth Sudalagunta, Maria C. Silva, Rafael R. Canevarolo, Xiaohong Zhao, Khandakar Tanvir Ahmed, Raghunandan Reddy Alugubelli, Gabriel Deavila, Alexandre Tungesvik, Lia Perez, Robert A. Gatenby, Robert J. Gillies, Rachid Baz, Mark B. Meads, Kenneth H. Shain, Ariosto Siqueira Silva, Wei Zhang
2021	—	`conf`	Deep radiomics: deep learning on radiomics texture images. Computer-Aided Diagnosis Rahul Paul, Sherzod Kariev, Dmitry Cherezov, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof
2020	J	`jnl`	A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets. Nat. Mach. Intell. Pritam Mukherjee, Mu Zhou, Edward Lee, Anne Schicht, Yoganand Balagurunathan, Sandy Napel, Robert J. Gillies, Simon Wong, Alexander Thieme, Ann N. Leung, Olivier Gevaert
2020	J	`jnl`	Convolutional Neural Network ensembles for accurate lung nodule malignancy prediction 2 years in the future. Comput. Biol. Medicine Rahul Paul, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof
2020	—	`conf`	Mitigating Adversarial Attacks on Medical Image Understanding Systems. ISBI Rahul Paul, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof
2019	—	`conf`	Towards deep radiomics: nodule malignancy prediction using CNNs on feature images. Computer-Aided Diagnosis Rahul Paul, Dmitry Cherezov, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof
2018	J	`jnl`	Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer Screening. IEEE Access Saeed S. Alahmari, Dmitry Cherezov, Dmitry B. Goldgof, Lawrence O. Hall, Robert J. Gillies, Matthew B. Schabath
2018	B	`conf`	Predicting Nodule Malignancy using a CNN Ensemble Approach. IJCNN Rahul Paul, Lawrence O. Hall, Dmitry B. Goldgof, Matthew B. Schabath, Robert J. Gillies
2018	B	`conf`	Representation of Deep Features using Radiologist defined Semantic Features. IJCNN Rahul Paul, Ying Liu, Qian Li, Lawrence O. Hall, Dmitry B. Goldgof, Yoganand Balagurunathan, Matthew B. Schabath, Robert J. Gillies
2018	—	`conf`	Stability of deep features across CT scanners and field of view using a physical phantom. Computer-Aided Diagnosis Rahul Paul, Muhammad Shafiq-ul-Hassan, Eduardo G. Moros, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof
2017	J	`jnl`	TumorNet: Lung Nodule Characterization Using Multi-View Convolutional Neural Network with Gaussian Process. CoRR Sarfaraz Hussein, Robert J. Gillies, Kunlin Cao, Qi Song, Ulas Bagci
2017	—	`conf`	TumorNet: Lung nodule characterization using multi-view Convolutional Neural Network with Gaussian Process. ISBI Sarfaraz Hussein, Robert J. Gillies, Kunlin Cao, Qi Song, Ulas Bagci
2016	J	`jnl`	A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study. J. Digit. Imaging Jayashree Kalpathy-Cramer, Binsheng Zhao, Dmitry B. Goldgof, Yuhua Gu, Xingwei Wang, Hao Yang, Yongqiang Tan, Robert J. Gillies, Sandy Napel
2016	B	`conf`	A quantitative histogram-based approach to predict treatment outcome for Soft Tissue Sarcomas using pre- and post-treatment MRIs. SMC Hamidreza Farhidzadeh, Dmitry B. Goldgof, Lawrence O. Hall, Jacob G. Scott, Robert A. Gatenby, Robert J. Gillies, Meera Raghavan
2016	—	`conf`	Change descriptors for determining nodule malignancy in national lung screening trial CT screening images. Computer-Aided Diagnosis Benjamin Geiger, Samuel H. Hawkins, Lawrence O. Hall, Dmitry B. Goldgof, Yoganand Balagurunathan, Robert A. Gatenby, Robert J. Gillies
2016	B	`conf`	Combining deep neural network and traditional image features to improve survival prediction accuracy for lung cancer patients from diagnostic CT. SMC Rahul Paul, Samuel H. Hawkins, Lawrence O. Hall, Dmitry B. Goldgof, Robert J. Gillies
2016	B	`conf`	Improving malignancy prediction through feature selection informed by nodule size ranges in NLST. SMC Dmitry Cherezov, Samuel H. Hawkins, Dmitry B. Goldgof, Lawrence O. Hall, Yoganand Balagurunathan, Robert J. Gillies, Matthew B. Schabath
2016	—	`conf`	Performance comparison of quantitative semantic features and lung-RADS in the National Lung Screening Trial. Image Perception, Observer Performance, and Technology Assessment Qian Li, Yoganand Balagurunathan, Ying Liu, Matthew B. Schabath, Robert J. Gillies
2016	—	`conf`	Predicting Ki67% expression from DCE-MR images of breast tumors using textural kinetic features in tumor habitats. Computer-Aided Diagnosis Baishali Chaudhury, Mu Zhou, Hamidreza Farhidzadeh, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Robert J. Weinfurtner, Jennifer S. Drukteinis
2016	—	`conf`	Quantitative imaging features to predict cancer status in lung nodules. Image Perception, Observer Performance, and Technology Assessment Ying Liu, Yoganand Balagurunathan, Thomas Atwater, Sanja Antic, Qian Li, Ronald Walker, Gary T. Smith, Pierre P. Massion, Matthew B. Schabath, Robert J. Gillies
2016	—	`conf`	Signal intensity analysis of ecological defined habitat in soft tissue sarcomas to predict metastasis development. Computer-Aided Diagnosis Hamidreza Farhidzadeh, Baishali Chaudhury, Jacob G. Scott, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Meera Raghavan
2015	B	`conf`	A Robust Approach for Automated Lung Segmentation in Thoracic CT. SMC Hailing Zhou, Dmitry B. Goldgof, Samuel H. Hawkins, Lei Wei, Ying Liu, Douglas C. Creighton, Robert J. Gillies, Lawrence O. Hall, Saeid Nahavandi
2015	B	`conf`	Correlation Based Random Subspace Ensembles for Predicting Number of Axillary Lymph Node Metastases in Breast DCE-MRI Tumors. SMC Baishali Chaudhury, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Jennifer S. Drukteinis
2015	—	`conf`	Decoding brain cancer dynamics: a quantitative histogram-based approach using temporal MRI. Computer-Aided Diagnosis Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof, Robin Russo, Robert J. Gillies, Robert A. Gatenby
2015	—	`conf`	Identifying metastatic breast tumors using textural kinetic features of a contrast based habitat in DCE-MRI. Computer-Aided Diagnosis Baishali Chaudhury, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Jennifer S. Drukteinis
2015	—	`conf`	Imbalanced learning for clinical survival group prediction of brain tumor patients. Computer-Aided Diagnosis Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof, Robert J. Gillies, Robert A. Gatenby
2015	—	`conf`	Prediction of treatment outcome in soft tissue sarcoma based on radiologically defined habitats. Computer-Aided Diagnosis Hamidreza Farhidzadeh, Baishali Chaudhury, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Meera Raghavan
2015	B	`conf`	Texture Feature Analysis to Predict Metastatic and Necrotic Soft Tissue Sarcomas. SMC Hamidreza Farhidzadeh, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Meera Raghavan
2014	—	`conf`	New method for predicting estrogen receptor status utilizing breast MRI texture kinetic analysis. Computer-Aided Diagnosis Baishali Chaudhury, Lawrence O. Hall, Dmitry B. Goldgof, Robert A. Gatenby, Robert J. Gillies, Jennifer S. Drukteinis
2014	J	`jnl`	Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features. IEEE Access 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
2014	J	`jnl`	Test-Retest Reproducibility Analysis of Lung CT Image Features. J. Digit. Imaging 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
2014	B	`conf`	Using features from tumor subregions of breast DCE-MRI for estrogen receptor status prediction. SMC Baishali Chaudhury, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Jennifer S. Drukteinis
2013	B	`conf`	A Texture Feature Ranking Model for Predicting Survival Time of Brain Tumor Patients. SMC Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof, Robert A. Gatenby, Robert J. Gillies
2013	J	`jnl`	Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach. Pattern Recognit. 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
2013	B	`conf`	Effect of Texture Features in Computer Aided Diagnosis of Pulmonary Nodules in Low-Dose Computed Tomography. SMC Henry Krewer, Benjamin Geiger, Lawrence O. Hall, Dmitry B. Goldgof, Yuhua Gu, Melvyn Tockman, Robert J. Gillies
2013	—	`conf`	Survival time prediction of patients with glioblastoma multiforme tumors using spatial distance measurement. Computer-Aided Diagnosis Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof, Robert J. Gillies, Robert A. Gatenby
2011	B	`conf`	Developing a classifier model for lung tumors in CT-scan images. SMC Satrajit Basu, Lawrence O. Hall, Dmitry B. Goldgof, Yuhua Gu, Virendra Kumar, Jung Choi, Robert J. Gillies, Robert A. Gatenby
2008	B	`conf`	Seed pruning using a multi-resolution approach for automated segmentation of breast cancer tissue. ICIP Rohit C. Philip, Jeffrey J. Rodriguez, Robert J. Gillies