Robert A. Gatenby

PLoS Comput. Biol., 2019

Neuroimaging Based Survival Time Prediction of GBM Patients Using CNNs from Small Data.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2017

Stem Cell Plasticity and Niche Dynamics in Cancer Progression.

[BibT_eX]

[DOI]

Noemi Picco

Alexander R. A. Anderson

IEEE Trans. Biomed. Eng., 2017

Aggregation Effects and Population-Based Dynamics as a Source of Therapy Resistance in Cancer.

[BibT_eX]

[DOI]

Joel S. Brown

Jessica J. Cunningham

IEEE Trans. Biomed. Eng., 2017

Synthetic minority image over-sampling technique: How to improve AUC for glioblastoma patient survival prediction.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Fine-tuning convolutional deep features for MRI based brain tumor classification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yoganand Balagurunathan

Robert J. Gillies

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

Signal intensity analysis of ecological defined habitat in soft tissue sarcomas to predict metastasis development.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

Predicting Ki67% expression from DCE-MR images of breast tumors using textural kinetic features in tumor habitats.

[BibT_eX]

[DOI]

Baishali Chaudhury

Mu Zhou

Robert J. Weinfurtner

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

Exploring deep features from brain tumor magnetic resonance images via transfer learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Daniel Nichol

Peter Jeavons

Alexander G. Fletcher

Alexander R. A. Anderson

Jacob G. Scott

PLoS Comput. Biol., 2015

Texture Feature Analysis to Predict Metastatic and Necrotic Soft Tissue Sarcomas.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Systems, 2015

Decoding brain cancer dynamics: a quantitative histogram-based approach using temporal MRI.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Imbalanced learning for clinical survival group prediction of brain tumor patients.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Prediction of treatment outcome in soft tissue sarcoma based on radiologically defined habitats.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

2014

Test-Retest Reproducibility Analysis of Lung CT Image Features.

[BibT_eX]

[DOI]

Yoganand Balagurunathan

J. Digit. Imaging, 2014

Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features.

[BibT_eX]

[DOI]

Samuel H. Hawkins

John N. Korecki

Yoganand Balagurunathan

IEEE Access, 2014

Using features from tumor subregions of breast DCE-MRI for estrogen receptor status prediction.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Prediction of treatment response and metastatic disease in soft tissue sarcoma.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

New method for predicting estrogen receptor status utilizing breast MRI texture kinetic analysis.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

2013

Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach.

[BibT_eX]

[DOI]

Emmanuel Rios Velazquez

Pattern Recognit., 2013

A Texture Feature Ranking Model for Predicting Survival Time of Brain Tumor Patients.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2013

Survival time prediction of patients with glioblastoma multiforme tumors using spatial distance measurement.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

2011

Developing a classifier model for lung tumors in CT-scan images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2011

2009

Assessing Radiology Resident Preparedness to Manage IV Contrast Media Reactions Using Simulation Technology.

[BibT_eX]

[DOI]

Elizabeth A. Krupinski

Proceedings of the Medicine Meets Virtual Reality 17 - NextMed: Design for/the Well Being, 2009

2008

Somatic Evolution of Cancer.

[BibT_eX]

[DOI]

Thomas L. Vincent

IGTR, 2008

2005

Modeling Cancer as an Evolutionary Game.

[BibT_eX]

[DOI]

Thomas L. Vincent

IGTR, 2005

2002

Analysis of tumor as an inverse problem provides a novel theoretical framework for understanding tumor biology and therapy.

[BibT_eX]

[DOI]