| Extension of CERR for computational radiomics: a comprehensive MATLAB platform for reproducible radiomics research AP Apte, A Iyer, M Crispin‐Ortuzar, R Pandya, LV Van Dijk, E Spezi, ... Medical physics 45 (8), 3713-3720, 2018 | 128 | 2018 |
| Impact of image preprocessing on the scanner dependence of multi-parametric MRI radiomic features and covariate shift in multi-institutional glioblastoma datasets H Um, F Tixier, D Bermudez, JO Deasy, RJ Young, H Veeraraghavan Physics in Medicine & Biology 64 (16), 165011, 2019 | 91 | 2019 |
| MRI radiomic features are associated with survival in melanoma brain metastases treated with immune checkpoint inhibitors A Bhatia, M Birger, H Veeraraghavan, H Um, F Tixier, AS McKenney, ... Neuro-oncology 21 (12), 1578-1586, 2019 | 49 | 2019 |
| Preoperative MRI-radiomics features improve prediction of survival in glioblastoma patients over MGMT methylation status alone F Tixier, H Um, D Bermudez, A Iyer, A Apte, MS Graham, KS Nevel, ... Oncotarget 10 (6), 660, 2019 | 45 | 2019 |
| Reliability of tumor segmentation in glioblastoma: Impact on the robustness of MRI‐radiomic features F Tixier, H Um, RJ Young, H Veeraraghavan Medical physics 46 (8), 3582-3591, 2019 | 42 | 2019 |
| Volumetric analysis of IDH-mutant lower-grade glioma: a natural history study of tumor growth rates before and after treatment RY Huang, RJ Young, BM Ellingson, H Veeraraghavan, W Wang, F Tixier, ... Neuro-oncology 22 (12), 1822-1830, 2020 | 28 | 2020 |
| Radiomic analysis to predict histopathologically confirmed pseudoprogression in glioblastoma patients AS McKenney, E Weg, TA Bale, AT Wild, H Um, MJ Fox, A Lin, JT Yang, ... Advances in Radiation Oncology, 100916, 2022 | 7 | 2022 |
| Local block-wise self attention for normal organ segmentation J Jiang, E Sharif, H Um, S Berry, H Veeraraghavan arXiv preprint arXiv:1909.05054, 2019 | 6 | 2019 |
| Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT H Um, J Jiang, M Thor, A Rimner, L Luo, JO Deasy, H Veeraraghavan arXiv preprint arXiv:2005.13690, 2020 | 2 | 2020 |
| Impact of Image Preprocessing Methods on the Robustness of MRI-Based Radiomic Classifiers for Glioblastoma H Um, F Tixier, D Bermudez, A Iyer, A Apte, J Deasy, I Mellinghoff, ... MEDICAL PHYSICS 45 (6), E384-E384, 2018 | 1 | 2018 |
| MRI texture features and outcomes to immune checkpoint inhibitors in melanoma brain metastases. A Bhatia, M Birger, H Veeraraghavan, H Um, AS McKenney, M Cugliari, ... Journal of Clinical Oncology 36 (15_suppl), 2069-2069, 2018 | 1 | 2018 |
| Multiple Resolution Residual Network for Automatic Glioblastoma Segmentation in MRI H Um, J Jiang, F Tixier, R Young, H Veeraraghavan MEDICAL PHYSICS 47 (6), E641-E641, 2020 | | 2020 |
| Multiple Resolution Residual Network for Automatic Lung Tumor and Lymph Node Segmentation Using CT Images H Um, J Jiang, A Rimner, L Luo, J Deasy, M Thor, H Veeraraghavan MEDICAL PHYSICS 46 (6), E211-E211, 2019 | | 2019 |
| Synthetic CTs Generated by Deep Learning Approaches: How Good Are They for Radiomics Analysis? F Tixier, P Klages, S Riyahi, J Jiang, H Um, N Tyagi, R Young, ... MEDICAL PHYSICS 46 (6), E331-E331, 2019 | | 2019 |
| Longitudinal Segmentation of Parotid Gland Changes From MRI Through Unsupervised Cross-Modality Deep Learning Through Structure-Specific Appearance Constraints J Jiang, H Um, Y Hu, N Tyagi, C Wang, N Lee, J Deasy, S Berry, ... MEDICAL PHYSICS 46 (6), E372-E372, 2019 | | 2019 |
| Complementary Value of MRI-Radiomics Features and Molecular Biomarkers in Glioblastoma to Predict Overall Survival F Tixier, H Um, D Bermudez, A Iyer, A Apte, J Deasy, I Mellinghoff, ... MEDICAL PHYSICS 45 (6), E583-E583, 2018 | | 2018 |
