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Eric Carver
Eric Carver
Verified email at brown.edu
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Year
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
17412018
Segmentation of the prostatic gland and the intraprostatic lesions on multiparametic magnetic resonance imaging using mask region-based convolutional neural networks
Z Dai, E Carver, C Liu, J Lee, A Feldman, W Zong, M Pantelic, M Elshaikh, ...
Advances in radiation oncology 5 (3), 473-481, 2020
462020
Automatic brain tumor segmentation and overall survival prediction using machine learning algorithms
E Carver, C Liu, W Zong, Z Dai, JM Snyder, J Lee, N Wen
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
312019
A deep dive into understanding tumor foci classification using multiparametric MRI based on convolutional neural network
W Zong, JK Lee, C Liu, EN Carver, AM Feldman, B Janic, MA Elshaikh, ...
Medical physics 47 (9), 4077-4086, 2020
162020
Improvement of multiparametric MR image segmentation by augmenting the data with generative adversarial networks for glioma patients
EN Carver, Z Dai, E Liang, J Snyder, N Wen
Frontiers in Computational Neuroscience 14, 495075, 2021
142021
Utilizing a deep learning-based object detection and instance segmentation algorithm for the delineation of prostate and prostate cancer segmentation
AM Feldman, Z Dai, E Carver, C Liu, JK Lee, M Pantelic, MA Elshaikh, ...
International Journal of Radiation Oncology, Biology, Physics 105 (1), S197-S198, 2019
82019
Volumetric and voxel-wise analysis of dominant intraprostatic lesions on multiparametric MRI
J Lee, E Carver, A Feldman, MV Pantelic, M Elshaikh, N Wen
Frontiers in oncology 9, 616, 2019
62019
Prostate cancer malignancy detection and localization from mpMRI using auto-deep learning as one step closer to clinical utilization
W Zong, E Carver, S Zhu, E Schaff, D Chapman, J Lee, ...
Scientific Reports 12 (1), 22430, 2022
52022
Brain tumor segmentation using non-local mask R-CNN and single model ensemble
Z Dai, N Wen, E Carver
International MICCAI Brainlesion Workshop, 239-248, 2021
22021
Prostate and Prostate Cancer Segmentation Using a Deep Learning-Based Object Detection Algorithm
A Feldman, Z Dai, E Carver, C Liu, JK Lee, M Pantelic, MA Elshaikh, ...
22019
COMP-03. QUANTITATIVE IMAGE FEATURE ANALYSIS IN DIFFUSE GLIOMA–A VALUABLE MR IMAGING BIOMARKER FOR PREOPERATIVE IDH MUTATION CLASSIFICATION
E Carver, J Snyder, B Griffith, N Wen
Neuro-Oncology 21 (Supplement_6), vi61-vi61, 2019
12019
Investigating Normalization Methods in Generation of an Automated, Robust Radiomics Biomarker Modeling for Glioblastoma Multiforme Patient Overall Survival
EN Carver, Z Dai, J Snyder, B Griffith, L Poisson, L Scarpace, N Wen
AAPM 65th Annual Meeting & Exhibition, 2023
2023
Multi-Leaf Collimator Angle Optimization for Single Isocenter Plans with Multiple Lesions
YA Abdelal, ZH Saleh, ML Schwer, EE Klein, GA Cardarelli, EN Carver
AAPM 65th Annual Meeting & Exhibition, 2023
2023
Automated, Robust Radiomics Biomarker Modeling for Glioblastoma
EN Carver
Wayne State University, 2022
2022
Gleason grade group predictions from mp-MRI of prostate cancer patients using auto deep learning
W Zong, E Carver, A Feldman, J Lee, Z Sun, L Xu, A Dabaja, N Wen
Cancer Research 81 (13_Supplement), 186-186, 2021
2021
Multi-Institutional Data Analysis of Radiomic Signature Set to Predict Overall Survival in Glioblastoma Patients
E Carver, Z Dai, J Snyder, B Griffith, L Poisson, L Rogers, N Wen
MEDICAL PHYSICS 48 (6), 2021
2021
Glioblastoma MR Images Synthesis with Generative Adversarial Network
N Wen, Z Dai, E Carver, E Liang, J Snyder, B Griffith, B Movsas
International Journal of Radiation Oncology, Biology, Physics 108 (2), E28, 2020
2020
Molecular subtype stratification for prostate cancer from mpMRI and histopathology images using convolutional neural networks and transfer learning
W Zong, EN Carver, A Feldman, N Palanisamy, N Wen
Cancer Research 80 (16_Supplement), 5302-5302, 2020
2020
Prospective Study Using Delta-Radiomics and MRI Biomarkers to Assess Tumor Response of the Dominant Intraprostatic Lesion (DIL) at Multiple Treatment Time Points
M Dumas, E Mohamed, E Carver, A Feldman, M Pantelic, D Hearshen, ...
MEDICAL PHYSICS 47 (6), E548-E548, 2020
2020
Creation of An Automated Hand-Crafted Radiomics Methodology and Assessment of Its Potential to Contribute to a Prospective Trial
E Carver, J Snyder, D Bergman, M Shah, S Siddiqui, N Wen
MEDICAL PHYSICS 47 (6), E595-E595, 2020
2020
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