| Advances in auto-segmentation CE Cardenas, J Yang, BM Anderson, LE Court, KB Brock Seminars in radiation oncology 29 (3), 185-197, 2019 | 355 | 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 | 145* | 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 | 94 | 2019 |
| 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 | 76 | 2018 |
| 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 |
| 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 | 67 | 2021 |
| 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 | 63 | 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 | 62 | 2017 |
| 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 | 59 | 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 | 57 | 2020 |
| 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 | 56 | 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 | 54* | 2018 |
| 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 | 49 | 2021 |
| 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 | 42 | 2020 |
| 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 | 41 | 2018 |
| 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 |
| 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 | 36 | 2020 |
| Out‐of‐field doses and neutron dose equivalents for electron beams from modern Varian and Elekta linear accelerators CE Cardenas, PL Nitsch, RJ Kudchadker, RM Howell, SF Kry Journal of applied clinical medical physics 17 (4), 442-455, 2016 | 34 | 2016 |
| Patterns-of-failure guided biological target volume definition for head and neck cancer patients: FDG-PET and dosimetric analysis of dose escalation candidate subregions ASR Mohamed, CE Cardenas, AS Garden, MJ Awan, CD Rock, ... Radiotherapy and Oncology 124 (2), 248-255, 2017 | 32 | 2017 |
| 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 | 31 | 2018 |
Laurence CourtRadiation Physics, MD Anderson Cancer Center在 mdanderson.org 的电子邮件经过验证
