| Advances in auto-segmentation CE Cardenas, J Yang, BM Anderson, LE Court, KB Brock Seminars in radiation oncology 29 (3), 185-197, 2019 | 439 | 2019 |
| Deep Learning Algorithm for Auto-Delineation of High-Risk Oropharyngeal Clinical Target Volumes With Built-In Dice Similarity Coefficient Parameter Optimization Function CE Cardenas, RE McCarroll, BA Elgohari, H Elhalawani, CD Fuller, ... International Journal of Radiation Oncology* Biology* Physics 101 (2), 468-478, 2018 | 167* | 2018 |
| Automatic detection of contouring errors using convolutional neural networks DJ Rhee, CE Cardenas, H Elhalawani, R McCarroll, L Zhang, J Yang, ... Medical physics 46 (11), 5086-5097, 2019 | 104 | 2019 |
| Automatic segmentation using deep learning to enable online dose optimization during adaptive radiation therapy of cervical cancer B Rigaud, BM Anderson, HY Zhiqian, M Gobeli, G Cazoulat, J Söderberg, ... International Journal of Radiation Oncology* Biology* Physics 109 (4), 1096-1110, 2021 | 80 | 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 |
| Dose prediction for head and neck radiotherapy using a three‐dimensional dense dilated U‐net architecture MP Gronberg, SS Gay, TJ Netherton, DJ Rhee, LE Court, CE Cardenas Medical physics 48 (9), 5567-5573, 2021 | 76 | 2021 |
| Generating high-quality lymph node clinical target volumes for head and neck cancer radiation therapy using a fully automated deep learning-based approach CE Cardenas, BM Beadle, AS Garden, HD Skinner, J Yang, DJ Rhee, ... International Journal of Radiation Oncology* Biology* Physics 109 (3), 801-812, 2021 | 69 | 2021 |
| Automatic contouring system for cervical cancer using convolutional neural networks DJ Rhee, A Jhingran, B Rigaud, T Netherton, CE Cardenas, L Zhang, ... Medical physics 47 (11), 5648-5658, 2020 | 69 | 2020 |
| Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks CE Cardenas, BM Anderson, M Aristophanous, J Yang, DJ Rhee, ... Physics in Medicine & Biology 63 (21), 215026, 2018 | 69 | 2018 |
| Retrospective validation and clinical implementation of automated contouring of organs at risk in the head and neck: a step toward automated radiation treatment planning for … RE McCarroll, BM Beadle, PA Balter, H Burger, CE Cardenas, S Dalvie, ... Journal of Global Oncology 4, 1-11, 2018 | 65 | 2018 |
| Prospective qualitative and quantitative analysis of real-time peer review quality assurance rounds incorporating direct physical examination for head and neck cancer radiation … CE Cardenas, ASR Mohamed, R Tao, AJR Wong, MJ Awan, S Kuruvila, ... International Journal of Radiation Oncology* Biology* Physics 98 (3), 532-540, 2017 | 65 | 2017 |
| The emergence of artificial intelligence within radiation oncology treatment planning TJ Netherton, CE Cardenas, DJ Rhee, LE Court, BM Beadle Oncology 99 (2), 124-134, 2021 | 60 | 2021 |
| Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System. L Court, K Kisling, R McCarroll, L Zhang, J Yang, H Simonds, ... Journal of visualized experiments: JoVE, 2018 | 59 | 2018 |
| Radiotherapy dose–volume parameters predict videofluoroscopy-detected dysphagia per DIGEST after IMRT for oropharyngeal cancer: Results of a prospective registry M Kamal, ASR Mohamed, S Volpe, J Zaveri, MP Barrow, GB Gunn, SY Lai, ... Radiotherapy and Oncology 128 (3), 442-451, 2018 | 44 | 2018 |
| The role of computational methods for automating and improving clinical target volume definition J Unkelbach, T Bortfeld, CE Cardenas, V Gregoire, W Hager, B Heijmen, ... Radiotherapy and Oncology 153, 15-25, 2020 | 43 | 2020 |
| Head and neck cancer patient images for determining auto‐segmentation accuracy in T2‐weighted magnetic resonance imaging through expert manual segmentations CE Cardenas, ASR Mohamed, J Yang, M Gooding, H Veeraraghavan, ... Medical physics 47 (5), 2317-2322, 2020 | 41 | 2020 |
| 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 | 41 | 2018 |
| Impact of slice thickness, pixel size, and CT dose on the performance of automatic contouring algorithms K Huang, DJ Rhee, R Ger, R Layman, J Yang, CE Cardenas, LE Court Journal of applied clinical medical physics 22 (5), 168-174, 2021 | 40 | 2021 |
| Radiomics feature stability of open-source software evaluated on apparent diffusion coefficient maps in head and neck cancer JC Korte, C Cardenas, N Hardcastle, T Kron, J Wang, H Bahig, B Elgohari, ... Scientific reports 11 (1), 17633, 2021 | 37 | 2021 |
| Prospective in silico study of the feasibility and dosimetric advantages of MRI-guided dose adaptation for human papillomavirus positive oropharyngeal cancer patients compared … ASR Mohamed, H Bahig, M Aristophanous, P Blanchard, M Kamal, ... Clinical and translational radiation oncology 11, 11-18, 2018 | 37 | 2018 |
Laurence CourtRadiation Physics, MD Anderson Cancer CenterVerificeret mail på mdanderson.org