235 related articles for article (PubMed ID: 30809047)
1. Deep learning in head & neck cancer outcome prediction.
Diamant A; Chatterjee A; Vallières M; Shenouda G; Seuntjens J
Sci Rep; 2019 Feb; 9(1):2764. PubMed ID: 30809047
[TBL] [Abstract][Full Text] [Related]
2. Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings.
Pang S; Field M; Dowling J; Vinod S; Holloway L; Sowmya A
Artif Intell Med; 2022 Jan; 123():102230. PubMed ID: 34998514
[TBL] [Abstract][Full Text] [Related]
3. Cross-institutional outcome prediction for head and neck cancer patients using self-attention neural networks.
Le WT; Vorontsov E; Romero FP; Seddik L; Elsharief MM; Nguyen-Tan PF; Roberge D; Bahig H; Kadoury S
Sci Rep; 2022 Feb; 12(1):3183. PubMed ID: 35210482
[TBL] [Abstract][Full Text] [Related]
4. Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics.
Huynh BN; Groendahl AR; Tomic O; Liland KH; Knudtsen IS; Hoebers F; van Elmpt W; Malinen E; Dale E; Futsaether CM
Front Med (Lausanne); 2023; 10():1217037. PubMed ID: 37711738
[TBL] [Abstract][Full Text] [Related]
5. Computed tomography-based deep-learning prediction of neoadjuvant chemoradiotherapy treatment response in esophageal squamous cell carcinoma.
Hu Y; Xie C; Yang H; Ho JWK; Wen J; Han L; Lam KO; Wong IYH; Law SYK; Chiu KWH; Vardhanabhuti V; Fu J
Radiother Oncol; 2021 Jan; 154():6-13. PubMed ID: 32941954
[TBL] [Abstract][Full Text] [Related]
6. Outcome prediction of head and neck squamous cell carcinoma by MRI radiomic signatures.
Mes SW; van Velden FHP; Peltenburg B; Peeters CFW; Te Beest DE; van de Wiel MA; Mekke J; Mulder DC; Martens RM; Castelijns JA; Pameijer FA; de Bree R; Boellaard R; Leemans CR; Brakenhoff RH; de Graaf P
Eur Radiol; 2020 Nov; 30(11):6311-6321. PubMed ID: 32500196
[TBL] [Abstract][Full Text] [Related]
7. Computed tomography-derived radiomic signature of head and neck squamous cell carcinoma (peri)tumoral tissue for the prediction of locoregional recurrence and distant metastasis after concurrent chemo-radiotherapy.
Keek S; Sanduleanu S; Wesseling F; de Roest R; van den Brekel M; van der Heijden M; Vens C; Giuseppina C; Licitra L; Scheckenbach K; Vergeer M; Leemans CR; Brakenhoff RH; Nauta I; Cavalieri S; Woodruff HC; Poli T; Leijenaar R; Hoebers F; Lambin P
PLoS One; 2020; 15(5):e0232639. PubMed ID: 32442178
[TBL] [Abstract][Full Text] [Related]
8. Computed Tomography Radiomics Predicts HPV Status and Local Tumor Control After Definitive Radiochemotherapy in Head and Neck Squamous Cell Carcinoma.
Bogowicz M; Riesterer O; Ikenberg K; Stieb S; Moch H; Studer G; Guckenberger M; Tanadini-Lang S
Int J Radiat Oncol Biol Phys; 2017 Nov; 99(4):921-928. PubMed ID: 28807534
[TBL] [Abstract][Full Text] [Related]
9. Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features.
Klyuzhin IS; Xu Y; Ortiz A; Ferres JL; Hamarneh G; Rahmim A
Comput Methods Programs Biomed; 2022 Jun; 219():106750. PubMed ID: 35381490
[TBL] [Abstract][Full Text] [Related]
10. Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer.
Vallières M; Kay-Rivest E; Perrin LJ; Liem X; Furstoss C; Aerts HJWL; Khaouam N; Nguyen-Tan PF; Wang CS; Sultanem K; Seuntjens J; El Naqa I
Sci Rep; 2017 Aug; 7(1):10117. PubMed ID: 28860628
[TBL] [Abstract][Full Text] [Related]
11. Multi-Institutional Validation of Deep Learning for Pretreatment Identification of Extranodal Extension in Head and Neck Squamous Cell Carcinoma.
Kann BH; Hicks DF; Payabvash S; Mahajan A; Du J; Gupta V; Park HS; Yu JB; Yarbrough WG; Burtness BA; Husain ZA; Aneja S
J Clin Oncol; 2020 Apr; 38(12):1304-1311. PubMed ID: 31815574
[TBL] [Abstract][Full Text] [Related]
12. Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks.
Ibragimov B; Xing L
Med Phys; 2017 Feb; 44(2):547-557. PubMed ID: 28205307
[TBL] [Abstract][Full Text] [Related]
13. Improved outcome prediction of oropharyngeal cancer by combining clinical and MRI features in machine learning models.
Bos P; van den Brekel MWM; Gouw ZAR; Al-Mamgani A; Taghavi M; Waktola S; Aerts HJWL; Castelijns JA; Beets-Tan RGH; Jasperse B
Eur J Radiol; 2021 Jun; 139():109701. PubMed ID: 33865064
[TBL] [Abstract][Full Text] [Related]
14. Prediction of Response to Stereotactic Radiosurgery for Brain Metastases Using Convolutional Neural Networks.
Cha YJ; Jang WI; Kim MS; Yoo HJ; Paik EK; Jeong HK; Youn SM
Anticancer Res; 2018 Sep; 38(9):5437-5445. PubMed ID: 30194200
[TBL] [Abstract][Full Text] [Related]
15. Deep learning for patient-specific quality assurance: Identifying errors in radiotherapy delivery by radiomic analysis of gamma images with convolutional neural networks.
Nyflot MJ; Thammasorn P; Wootton LS; Ford EC; Chaovalitwongse WA
Med Phys; 2019 Feb; 46(2):456-464. PubMed ID: 30548601
[TBL] [Abstract][Full Text] [Related]
16. Predicting acute radiation induced xerostomia in head and neck Cancer using MR and CT Radiomics of parotid and submandibular glands.
Sheikh K; Lee SH; Cheng Z; Lakshminarayanan P; Peng L; Han P; McNutt TR; Quon H; Lee J
Radiat Oncol; 2019 Jul; 14(1):131. PubMed ID: 31358029
[TBL] [Abstract][Full Text] [Related]
17. Modeling Texture in Deep 3D CNN for Survival Analysis.
Chaddad A; Sargos P; Desrosiers C
IEEE J Biomed Health Inform; 2021 Jul; 25(7):2454-2462. PubMed ID: 32960772
[TBL] [Abstract][Full Text] [Related]
18. Deep Learning-based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses.
Choe J; Lee SM; Do KH; Lee G; Lee JG; Lee SM; Seo JB
Radiology; 2019 Aug; 292(2):365-373. PubMed ID: 31210613
[TBL] [Abstract][Full Text] [Related]
19. AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.
Zhu W; Huang Y; Zeng L; Chen X; Liu Y; Qian Z; Du N; Fan W; Xie X
Med Phys; 2019 Feb; 46(2):576-589. PubMed ID: 30480818
[TBL] [Abstract][Full Text] [Related]
20. Distant metastasis time to event analysis with CNNs in independent head and neck cancer cohorts.
Lombardo E; Kurz C; Marschner S; Avanzo M; Gagliardi V; Fanetti G; Franchin G; Stancanello J; Corradini S; Niyazi M; Belka C; Parodi K; Riboldi M; Landry G
Sci Rep; 2021 Mar; 11(1):6418. PubMed ID: 33742070
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
