Robert J Gillies - Citegraph

Author Info

Name	Affiliation	Papers
ROBERT J GILLIES	Department of Imaging, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA	31
Collaborators	Citations	PageRank
84	47	12.10
Referers	Referees	References
146	301	103

Search Limit

100301

Publications (31 rows)

Collaborators (84 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
CancerCellTracker: a brightfield time-lapse microscopy framework for cancer drug sensitivity estimation	0	0.34	2022
Mitigating Adversarial Attacks on Medical Image Understanding Systems	0	0.34	2020
Towards deep radiomics - nodule malignancy prediction using CNNs on feature images.	0	0.34	2019
Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer Screening.	0	0.34	2018
Stability of deep features across CT scanners and field of view using a physical phantom.	0	0.34	2018
Radiomic biomarkers from PET/CT multi-modality fusion images for the prediction of immunotherapy response in advanced non-small cell lung cancer patients.	0	0.34	2018
Combining Deep Neural Network And Traditional Image Features To Improve Survival Prediction Accuracy For Lung Cancer Patients From Diagnostic Ct	0	0.34	2016
Signal intensity analysis of ecological defined habitat in soft tissue sarcomas to predict metastasis development.	0	0.34	2016
Performance comparison of quantitative semantic features and lung-RADS in the National Lung Screening Trial.	0	0.34	2016
Quantitative imaging features to predict cancer status in lung nodules.	0	0.34	2016
Improving Malignancy Prediction Through Feature Selection Informed By Nodule Size Ranges In Nlst	0	0.34	2016
Change descriptors for determining nodule malignancy in national lung screening trial CT screening images.	0	0.34	2016
A Quantitative Histogram-Based Approach To Predict Treatment Outcome For Soft Tissue Sarcomas Using Pre- And Post-Treatment Mris	0	0.34	2016
A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study.	6	0.55	2016
Predicting Ki67% expression from DCE-MR images of breast tumors using textural kinetic features in tumor habitats.	0	0.34	2016
A Robust Approach For Automated Lung Segmentation In Thoracic Ct	2	0.39	2015
Imbalanced learning for clinical survival group prediction of brain tumor patients	0	0.34	2015
Identifying metastatic breast tumors using textural kinetic features of a contrast based habitat in DCE-MRI	1	0.36	2015
Prediction of treatment outcome in soft tissue sarcoma based on radiologically defined habitats	3	0.39	2015
Texture Feature Analysis To Predict Metastatic And Necrotic Soft Tissue Sarcomas	3	0.37	2015
Decoding brain cancer dynamics: a quantitative histogram-based approach using temporal MRI	0	0.34	2015
Correlation Based Random Subspace Ensembles For Predicting Number Of Axillary Lymph Node Metastases In Breast Dce-Mri Tumors	0	0.34	2015
Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features	3	0.40	2014
Using features from tumor subregions of breast DCE-MRI for estrogen receptor status prediction	2	0.40	2014
New method for predicting estrogen receptor status utilizing breast MRI texture kinetic analysis	2	0.48	2014
Test–Retest Reproducibility Analysis of Lung CT Image Features	0	0.34	2014
Exploring Brain Tumor Heterogeneity for Survival Time Prediction	1	0.37	2014
Automated Delineation of Lung Tumors from CT Images Using a Single Click Ensemble Segmentation Approach.	19	1.08	2013
Effect of Texture Features in Computer Aided Diagnosis of Pulmonary Nodules in Low-Dose Computed Tomography	2	0.37	2013
A Texture Feature Ranking Model for Predicting Survival Time of Brain Tumor Patients	1	0.42	2013
Survival time prediction of patients with glioblastoma multiforme tumors using spatial distance measurement	2	0.44	2013