Carlos E. Cardenas
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Citée par
Advances in auto-segmentation
CE Cardenas, J Yang, BM Anderson, LE Court, KB Brock
Seminars in radiation oncology 29 (3), 185-197, 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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