Measuring computed tomography scanner variability of radiomics features D Mackin, X Fave, L Zhang, D Fried, J Yang, B Taylor, ... Investigative radiology 50 (11), 757-765, 2015 | 671 | 2015 |
ibex: An open infrastructure software platform to facilitate collaborative work in radiomics L Zhang, DV Fried, XJ Fave, LA Hunter, J Yang, LE Court Medical physics 42 (3), 1341-1353, 2015 | 399 | 2015 |
Delta-radiomics features for the prediction of patient outcomes in non–small cell lung cancer X Fave, L Zhang, J Yang, D Mackin, P Balter, D Gomez, D Followill, ... Scientific reports 7 (1), 588, 2017 | 349 | 2017 |
Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer? X Fave, D Mackin, J Yang, J Zhang, D Fried, P Balter, D Followill, ... Medical physics 42 (12), 6784-6797, 2015 | 194 | 2015 |
Harmonizing the pixel size in retrospective computed tomography radiomics studies D Mackin, X Fave, L Zhang, J Yang, AK Jones, CS Ng, L Court PloS one 12 (9), e0178524, 2017 | 157 | 2017 |
A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from MR images Z Zhang, J Yang, A Ho, W Jiang, J Logan, X Wang, PD Brown, ... European radiology 28, 2255-2263, 2018 | 150 | 2018 |
Impact of image preprocessing on the volume dependence and prognostic potential of radiomics features in non-small cell lung cancer X Fave, L Zhang, J Yang, D Mackin, P Balter, D Gomez, D Followill, ... Translational Cancer Research 5 (4), 349-363, 2016 | 128 | 2016 |
Effect of tube current on computed tomography radiomic features D Mackin, R Ger, C Dodge, X Fave, PC Chi, L Zhang, J Yang, S Bache, ... Scientific reports 8 (1), 2354, 2018 | 109 | 2018 |
Preliminary investigation into sources of uncertainty in quantitative imaging features X Fave, M Cook, A Frederick, L Zhang, J Yang, D Fried, F Stingo, L Court Computerized Medical Imaging and Graphics 44, 54-61, 2015 | 107 | 2015 |
Stage III non–small cell lung cancer: prognostic value of FDG PET quantitative imaging features combined with clinical prognostic factors DV Fried, O Mawlawi, L Zhang, X Fave, S Zhou, G Ibbott, Z Liao, LE Court Radiology 278 (1), 214-222, 2016 | 89 | 2016 |
Prospects for daily online adaptive radiotherapy via ethos for prostate cancer patients without nodal involvement using unedited CBCT auto‐segmentation M Moazzezi, B Rose, K Kisling, KL Moore, X Ray Journal of applied clinical medical physics 22 (10), 82-93, 2021 | 85 | 2021 |
Investigation of radiomic signatures for local recurrence using primary tumor texture analysis in oropharyngeal head and neck cancer patients Scientific reports 8 (1), 1524, 2018 | 78 | 2018 |
Computational resources for radiomics L Court, X Fave, D Mackin, J Lee, J Yang, L Zhang Translational Cancer Research 5 (4), 340-348, 2016 | 58* | 2016 |
Noninferiority Study of Automated Knowledge-Based Planning Versus Human-Driven Optimization Across Multiple Disease Sites Mariel Cornell, Robert Kaderka, Sebastian Hild, Xenia Ray, James Murphy ... International Journal of Radiation Oncology*Biology*Physics 106 (2), 430-439, 2020 | 53 | 2020 |
Uncertainty analysis of quantitative imaging features extracted from contrast-enhanced CT in lung tumors J Yang, L Zhang, XJ Fave, DV Fried, FC Stingo, CS Ng, LE Court Computerized Medical Imaging and Graphics 48, 1-8, 2016 | 47 | 2016 |
Machine learning applications in head and neck radiation oncology: lessons from open-source radiomics challenges H Elhalawani, TA Lin, S Volpe, ASR Mohamed, AL White, J Zafereo, ... Frontiers in oncology 8, 294, 2018 | 40 | 2018 |
TG‐51 reference dosimetry for the Halcyon™: a clinical experience SAM Lloyd, TY Lim, X Fave, E Flores‐Martinez, TF Atwood, V Moiseenko Journal of applied clinical medical physics 19 (4), 98-102, 2018 | 32 | 2018 |
Dosimetric and feasibility evaluation of a CBCT‐based daily adaptive radiotherapy protocol for locally advanced cervical cancer D Branco, J Mayadev, K Moore, X Ray Journal of Applied Clinical Medical Physics 24 (1), e13783, 2023 | 23 | 2023 |
Using pretreatment radiomics and delta-radiomics features to predict non–small cell lung cancer patient outcomes X Fave, L Zhang, J Yang, D Mackin, P Balter, DR Gomez, D Followill, ... International Journal of Radiation Oncology, Biology, Physics 98 (1), 249, 2017 | 21 | 2017 |
Wide-scale clinical implementation of knowledge-based planning: an investigation of workforce efficiency, need for post-automation refinement, and data-driven model maintenance R Kaderka, SJ Hild, VN Bry, M Cornell, XJ Ray, JD Murphy, TF Atwood, ... International Journal of Radiation Oncology* Biology* Physics 111 (3), 705-715, 2021 | 18 | 2021 |