Robert A. Gatenby
Orcid: 0000-0002-1621-1510
According to our database1,
Robert A. Gatenby
authored at least 34 papers
between 2002 and 2023.
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Bibliography
2023
CoRR, 2023
2022
CancerCellTracker: a brightfield time-lapse microscopy framework for cancer drug sensitivity estimation.
Bioinform., 2022
2019
PLoS Comput. Biol., 2019
Neuroimaging Based Survival Time Prediction of GBM Patients Using CNNs from Small Data.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
2017
IEEE Trans. Biomed. Eng., 2017
Aggregation Effects and Population-Based Dynamics as a Source of Therapy Resistance in Cancer.
IEEE Trans. Biomed. Eng., 2017
Synthetic minority image over-sampling technique: How to improve AUC for glioblastoma patient survival prediction.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
A quantitative histogram-based approach to predict treatment outcome for Soft Tissue Sarcomas using pre- and post-treatment MRIs.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Change descriptors for determining nodule malignancy in national lung screening trial CT screening images.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Signal intensity analysis of ecological defined habitat in soft tissue sarcomas to predict metastasis development.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Predicting Ki67% expression from DCE-MR images of breast tumors using textural kinetic features in tumor habitats.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Exploring deep features from brain tumor magnetic resonance images via transfer learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
Steering Evolution with Sequential Therapy to Prevent the Emergence of Bacterial Antibiotic Resistance.
PLoS Comput. Biol., 2015
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Correlation Based Random Subspace Ensembles for Predicting Number of Axillary Lymph Node Metastases in Breast DCE-MRI Tumors.
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Decoding brain cancer dynamics: a quantitative histogram-based approach using temporal MRI.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Prediction of treatment outcome in soft tissue sarcoma based on radiologically defined habitats.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Identifying metastatic breast tumors using textural kinetic features of a contrast based habitat in DCE-MRI.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
2014
J. Digit. Imaging, 2014
IEEE Access, 2014
Using features from tumor subregions of breast DCE-MRI for estrogen receptor status prediction.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
New method for predicting estrogen receptor status utilizing breast MRI texture kinetic analysis.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
2013
Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach.
Pattern Recognit., 2013
A Texture Feature Ranking Model for Predicting Survival Time of Brain Tumor Patients.
Proceedings of the IEEE International Conference on Systems, 2013
Survival time prediction of patients with glioblastoma multiforme tumors using spatial distance measurement.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
2011
Proceedings of the IEEE International Conference on Systems, 2011
2009
Assessing Radiology Resident Preparedness to Manage IV Contrast Media Reactions Using Simulation Technology.
Proceedings of the Medicine Meets Virtual Reality 17 - NextMed: Design for/the Well Being, 2009
2008
2005
2002
Analysis of tumor as an inverse problem provides a novel theoretical framework for understanding tumor biology and therapy.
Appl. Math. Lett., 2002