Feature level quantitative ultrasound and CT information fusion to predict the outcome of head & neck cancer radiotherapy treatment: Enhanced principal component analysis
Fuente:
Wiley Open Access
Guardado en:
| Autores principales: | Amir Moslemi, Aryan Safakish, Lakshmanan Sannachi, David Alberico, Gregory J. Czarnota |
|---|---|
| Formato: | Artículo Open Access |
| Publicado: |
Wiley
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Radiation therapy response prediction for head and neck cancer using multimodal imaging and multiview dynamic graph autoencoder feature selection
por: Amir Moslemi, et al.
Publicado: (2025)
por: Amir Moslemi, et al.
Publicado: (2025)
Critical review of patient outcome study in head and neck cancer radiotherapy
por: Chen, Jingyuan, et al.
Publicado: (2025)
por: Chen, Jingyuan, et al.
Publicado: (2025)
Quantification of head and neck cancer patients' anatomical changes during radiotherapy: prediction of replanning need
por: Rios-Ibacache, Odette, et al.
Publicado: (2025)
por: Rios-Ibacache, Odette, et al.
Publicado: (2025)
Impact of harmonization on predicting complications in head and neck cancer after radiotherapy using MRI radiomics and machine learning techniques
por: Benyamin Khajetash, et al.
Publicado: (2025)
por: Benyamin Khajetash, et al.
Publicado: (2025)
Preliminary treatment planning strategy for blood dose reduction in head and neck radiotherapy
por: Seohan Kim, et al.
Publicado: (2026)
por: Seohan Kim, et al.
Publicado: (2026)
Dynamic blood dose estimates in radiotherapy and correlations with adverse clinical outcomes in brain, head‐and‐neck, and lung cancer patients
por: Sebastian Tattenberg, et al.
Publicado: (2025)
por: Sebastian Tattenberg, et al.
Publicado: (2025)
Dose prediction for head‐and‐neck cancer using a fusion of lightweight 3D multi‐scale feature enhancement modules
por: Long Wei, et al.
Publicado: (2026)
por: Long Wei, et al.
Publicado: (2026)
A novel imaging setup for hybrid radiotherapy tailored PET/MR in patients with head and neck cancer
por: Winter, R. M., et al.
Publicado: (2024)
por: Winter, R. M., et al.
Publicado: (2024)
Development of a defacing algorithm to protect the privacy of head and neck cancer patients in publicly-accessible radiotherapy datasets
por: O'Sullivan-Steben, Kayla, et al.
Publicado: (2025)
por: O'Sullivan-Steben, Kayla, et al.
Publicado: (2025)
Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data
por: Hui‐Ju Wang, et al.
Publicado: (2025)
por: Hui‐Ju Wang, et al.
Publicado: (2025)
Automatic target volume segmentation for offline adaptive head–and‐neck radiotherapy
por: Gilles Moliner, et al.
Publicado: (2026)
por: Gilles Moliner, et al.
Publicado: (2026)
Patient‐specific modeling of radiation‐induced lymphopenia for head and neck cancer
por: Jiaxin Li, et al.
Publicado: (2025)
por: Jiaxin Li, et al.
Publicado: (2025)
Enhancing accuracy in proton therapy: The impact of geometric uncertainty models in head and neck cancer treatment
por: Ying Zhang, et al.
Publicado: (2025)
por: Ying Zhang, et al.
Publicado: (2025)
Open or closed: Experience of head and neck radiotherapy masks – A mixed‐methods study
por: Erik Lundin, et al.
Publicado: (2024)
por: Erik Lundin, et al.
Publicado: (2024)
Novel pre‐spatial data fusion deep learning approach for multimodal volumetric outcome prediction models in radiotherapy
por: John C. Asbach, et al.
Publicado: (2025)
por: John C. Asbach, et al.
Publicado: (2025)
Evaluation of radiotherapy planning approaches for head and neck patients with tumors close to the skin surface
por: Julie S. Kirk, et al.
Publicado: (2024)
por: Julie S. Kirk, et al.
Publicado: (2024)
The impact of neck tilt on the accuracy of deep learning generated contours for CT images of the head and neck
por: Jamison Brooks, et al.
Publicado: (2025)
por: Jamison Brooks, et al.
Publicado: (2025)
Clinical utility of automatic treatment planning for proton therapy of head-and-neck cancer patients using JulianA
por: Bellotti, Renato, et al.
Publicado: (2024)
por: Bellotti, Renato, et al.
Publicado: (2024)
Impact of amalgam dental filling on radiotherapy of head and neck cancer: In vivo dosimetry and dose calculation using AAA and Acuros algorithms
por: Emese Fodor, et al.
Publicado: (2025)
por: Emese Fodor, et al.
Publicado: (2025)
Advantages and limitations of navigation‐based multicriteria optimization (MCO) in selectively sparing pharyngeal constrictor muscles in head and neck radiotherapy treatment planning
por: Laura K. Howard, et al.
Publicado: (2025)
por: Laura K. Howard, et al.
Publicado: (2025)
Clinical feasibility of atlas‐based auto‐segmentation for organ‐at‐risk contouring in head‐and‐neck radiotherapy
por: Han Liu, et al.
Publicado: (2025)
por: Han Liu, et al.
Publicado: (2025)
Lightweight deep training network for lymph nodes segmentation from head and neck CT images
por: Fan Lu, et al.
Publicado: (2025)
por: Fan Lu, et al.
Publicado: (2025)
Fraction-variant VMAT planning for patients with complex gynecological and head-and-neck cancer
por: Torelli, Nathan, et al.
Publicado: (2025)
por: Torelli, Nathan, et al.
Publicado: (2025)
Nominal plan robustness may predict plan degradation in proton therapy for oropharyngeal head‐and‐neck cancer
por: Mark J. Zakhary, et al.
Publicado: (2026)
por: Mark J. Zakhary, et al.
Publicado: (2026)
Dysphagia optimized knowledge‐based planning for head and neck cancer
por: Tu Thi, et al.
Publicado: (2026)
por: Tu Thi, et al.
Publicado: (2026)
vOARiability: Interobserver and intermodality variability analysis in OAR contouring from head and neck CT and MR images
por: Gašper Podobnik, et al.
Publicado: (2024)
por: Gašper Podobnik, et al.
Publicado: (2024)
Sparse probabilistic evaluation for treatment planning: a feasibility study in IMPT head & neck patients
por: de Jong, Jenneke I., et al.
Publicado: (2026)
por: de Jong, Jenneke I., et al.
Publicado: (2026)
CycleSeg: Simultaneous synthetic CT generation and unsupervised segmentation for MR‐only radiotherapy treatment planning of prostate cancer
por: Huan Minh Luu, et al.
Publicado: (2024)
por: Huan Minh Luu, et al.
Publicado: (2024)
Evaluating automatically generated normal tissue contours for safe use in head and neck and cervical cancer treatment planning
por: Raphael Douglas, et al.
Publicado: (2024)
por: Raphael Douglas, et al.
Publicado: (2024)
Large-scale automatic carbon ion treatment planning for head and neck cancers via parallel multi-agent reinforcement learning
por: Zhang, Jueye, et al.
Publicado: (2025)
por: Zhang, Jueye, et al.
Publicado: (2025)
On the use of principal component analysis method to optimize sphere packing algorithm for lattice radiotherapy of large/bulky unresectable tumor
por: Joshua Misa, et al.
Publicado: (2025)
por: Joshua Misa, et al.
Publicado: (2025)
Radiomics‐based prediction of T cell‐inflamed gene expression profile and prognosis in head and neck squamous cell carcinoma
por: Huanyu Jiang, et al.
Publicado: (2025)
por: Huanyu Jiang, et al.
Publicado: (2025)
Advances in human papillomavirus detection and molecular understanding in head and neck cancers: Implications for clinical management
por: Ngoc Ha Tran, et al.
Publicado: (2024)
por: Ngoc Ha Tran, et al.
Publicado: (2024)
Enhancing adaptive proton therapy through CBCT images: Synthetic head and neck CT generation based on 3D vision transformers
por: David Viar‐Hernandez, et al.
Publicado: (2024)
por: David Viar‐Hernandez, et al.
Publicado: (2024)
New index for quantitative comparison of dose distributions in radiotherapy
por: Vadim Y. Kuperman, et al.
Publicado: (2025)
por: Vadim Y. Kuperman, et al.
Publicado: (2025)
Technical assessment of a novel vertical CT system for upright radiotherapy simulation and treatment planning
por: Jordan M. Slagowski, et al.
Publicado: (2026)
por: Jordan M. Slagowski, et al.
Publicado: (2026)
Technical assessment of a novel vertical CT system for upright radiotherapy simulation and treatment planning
por: Slagowski, Jordan M., et al.
Publicado: (2025)
por: Slagowski, Jordan M., et al.
Publicado: (2025)
A general model for head and neck auto‐segmentation with patient pre‐treatment imaging during adaptive radiation therapy
por: Brett Clark, et al.
Publicado: (2025)
por: Brett Clark, et al.
Publicado: (2025)
Automatic treatment planning for radiotherapy: a cross-modality and protocol study
por: Szalkowski, Gregory, et al.
Publicado: (2024)
por: Szalkowski, Gregory, et al.
Publicado: (2024)
Human papillomavirus associated oropharyngeal cancer now the most common mucosal head and neck cancer in Queensland
por: Sandro V Porceddu, et al.
Publicado: (2024)
por: Sandro V Porceddu, et al.
Publicado: (2024)
Ejemplares similares
-
Radiation therapy response prediction for head and neck cancer using multimodal imaging and multiview dynamic graph autoencoder feature selection
por: Amir Moslemi, et al.
Publicado: (2025) -
Critical review of patient outcome study in head and neck cancer radiotherapy
por: Chen, Jingyuan, et al.
Publicado: (2025) -
Quantification of head and neck cancer patients' anatomical changes during radiotherapy: prediction of replanning need
por: Rios-Ibacache, Odette, et al.
Publicado: (2025) -
Impact of harmonization on predicting complications in head and neck cancer after radiotherapy using MRI radiomics and machine learning techniques
por: Benyamin Khajetash, et al.
Publicado: (2025) -
Preliminary treatment planning strategy for blood dose reduction in head and neck radiotherapy
por: Seohan Kim, et al.
Publicado: (2026)