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 | 1785 | 2018 |
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 | 47 | 2020 |
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 | 32 | 2019 |
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 | 17 | 2020 |
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 | 15 | 2021 |
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 | 8 | 2019 |
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 | 6 | 2019 |
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 | 5 | 2022 |
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 | 2 | 2021 |
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, ... | 2 | 2019 |
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 | 1 | 2019 |
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 |