Robert A. Gatenby

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 14

Top Topics

Magnetic Resonance

Top Venues

Medical Imaging: Computer-Aided Diagnosis

IEEE Trans. Biomed. Eng.

PLoS Comput. Biol.

Publications

Dipesh Niraula, Issam El-Naqa, Jack Adam Tuszynski, Robert A. Gatenby
Modeling non-genetic information dynamics in cells using reservoir computing. CoRR (2023)
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
CancerCellTracker: a brightfield time-lapse microscopy framework for cancer drug sensitivity estimation. Bioinform. 38 (16) (2022)
Sandhya Prabhakaran, Chandler Gatenbee, Mark Robertson-Tessi, Jeffrey West, Amer A. Beg, Jhanelle Gray, Scott Antonia, Robert A. Gatenby, Alexander R. A. Anderson
Mistic: An open-source multiplexed image t-SNE viewer. Patterns 3 (7) (2022)
Rachel Howard, Aaron Scheiner, Jessica J. Cunningham, Robert A. Gatenby
Cytoplasmic convection currents and intracellular temperature gradients. PLoS Comput. Biol. 15 (11) (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)
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)
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)
Joel S. Brown, Jessica J. Cunningham, Robert A. Gatenby
Aggregation Effects and Population-Based Dynamics as a Source of Therapy Resistance in Cancer. IEEE Trans. Biomed. Eng. 64 (3) (2017)
Noemi Picco, Robert A. Gatenby, Alexander R. A. Anderson
Stem Cell Plasticity and Niche Dynamics in Cancer Progression. IEEE Trans. Biomed. Eng. 64 (3) (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)
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)
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)
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)
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)
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
Steering Evolution with Sequential Therapy to Prevent the Emergence of Bacterial Antibiotic Resistance. PLoS Comput. Biol. 11 (9) (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)
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)
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)
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)
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)
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)
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)
Elizabeth A. Krupinski, Bhavika Patel, William Berger, Allan J. Hamilton, Alyson E. Knapp, Gary J. Becker, Robert A. Gatenby
Assessing Radiology Resident Preparedness to Manage IV Contrast Media Reactions Using Simulation Technology. MMVR (2009)
Thomas L. Vincent, Robert A. Gatenby
Somatic Evolution of Cancer. IGTR 10 (1) (2008)
Thomas L. Vincent, Robert A. Gatenby
Modeling Cancer as an Evolutionary Game. IGTR 7 (3) (2005)
Robert A. Gatenby, Philip K. Maini, Edward T. Gawlinski
Analysis of tumor as an inverse problem provides a novel theoretical framework for understanding tumor biology and therapy. Appl. Math. Lett. 15 (3) (2002)