Robert A. Gatenby

35 papers B 9Journal 14Unranked 12

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Deep reinforcement learning identifies personalized intermittent androgen deprivation therapy for prostate cancer. Briefings Bioinform. Yitao Lu, Qian Chu, Zhen Li, Mengdi Wang, Robert A. Gatenby, Qingpeng Zhang
2023	J	`jnl`	Modeling non-genetic information dynamics in cells using reservoir computing. CoRR Dipesh Niraula, Issam El-Naqa, Jack Adam Tuszynski, Robert A. Gatenby
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
2022	J	`jnl`	Mistic: An open-source multiplexed image t-SNE viewer. Patterns Sandhya Prabhakaran, Chandler Gatenbee, Mark Robertson-Tessi, Jeffrey West, Amer A. Beg, Jhanelle Gray, Scott Antonia, Robert A. Gatenby, Alexander R. A. Anderson
2019	J	`jnl`	Cytoplasmic convection currents and intracellular temperature gradients. PLoS Comput. Biol. Rachel Howard, Aaron Scheiner, Jessica J. Cunningham, Robert A. Gatenby
2019	B	`conf`	Neuroimaging Based Survival Time Prediction of GBM Patients Using CNNs from Small Data. SMC Kaoutar Ben Ahmed, Lawrence O. Hall, Renhao Liu, Robert A. Gatenby, Dmitry B. Goldgof
2017	J	`jnl`	Aggregation Effects and Population-Based Dynamics as a Source of Therapy Resistance in Cancer. IEEE Trans. Biomed. Eng. Joel S. Brown, Jessica J. Cunningham, Robert A. Gatenby
2017	—	`conf`	Fine-tuning convolutional deep features for MRI based brain tumor classification. Computer-Aided Diagnosis Kaoutar Ben Ahmed, Lawrence O. Hall, Dmitry B. Goldgof, Renhao Liu, Robert A. Gatenby
2017	J	`jnl`	Stem Cell Plasticity and Niche Dynamics in Cancer Progression. IEEE Trans. Biomed. Eng. Noemi Picco, Robert A. Gatenby, Alexander R. A. Anderson
2017	B	`conf`	Synthetic minority image over-sampling technique: How to improve AUC for glioblastoma patient survival prediction. SMC Renhao Liu, Lawrence O. Hall, Kevin W. Bowyer, Dmitry B. Goldgof, Robert A. Gatenby, Kaoutar Ben Ahmed
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`	Exploring deep features from brain tumor magnetic resonance images via transfer learning. IJCNN Renhao Liu, Lawrence O. Hall, Dmitry B. Goldgof, Mu Zhou, Robert A. Gatenby, Kaoutar Ben Ahmed
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`	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`	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	J	`jnl`	Steering Evolution with Sequential Therapy to Prevent the Emergence of Bacterial Antibiotic Resistance. PLoS Comput. Biol. Daniel Nichol, Peter Jeavons, Alexander G. Fletcher, Robert A. Bonomo, Philip K. Maini, Jerome L. Paul, Robert A. Gatenby, Alexander R. A. Anderson, Jacob G. Scott
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	—	`conf`	Prediction of treatment response and metastatic disease in soft tissue sarcoma. Computer-Aided Diagnosis Hamidreza Farhidzadeh, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Meera Raghavan, Robert A. Gatenby
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	—	`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
2009	—	`conf`	Assessing Radiology Resident Preparedness to Manage IV Contrast Media Reactions Using Simulation Technology. MMVR Elizabeth A. Krupinski, Bhavika Patel, William Berger, Allan J. Hamilton, Alyson E. Knapp, Gary J. Becker, Robert A. Gatenby
2008	J	`jnl`	Somatic Evolution of Cancer. IGTR Thomas L. Vincent, Robert A. Gatenby
2005	J	`jnl`	Modeling Cancer as an Evolutionary Game. IGTR Thomas L. Vincent, Robert A. Gatenby
2002	J	`jnl`	Analysis of tumor as an inverse problem provides a novel theoretical framework for understanding tumor biology and therapy. Appl. Math. Lett. Robert A. Gatenby, Philip K. Maini, Edward T. Gawlinski