123 related articles for article (PubMed ID: 34587597)
1. Dynamic stochastic deep learning approaches for predicting geometric changes in head and neck cancer.
Pakela JM; Matuszak MM; Ten Haken RK; McShan DL; El Naqa I
Phys Med Biol; 2021 Nov; 66(22):. PubMed ID: 34587597
[No Abstract] [Full Text] [Related]
2. A novel surrogate to identify anatomical changes during radiotherapy of head and neck cancer patients.
Gros SA; Xu W; Roeske JC; Choi M; Emami B; Surucu M
Med Phys; 2017 Mar; 44(3):924-934. PubMed ID: 28019647
[TBL] [Abstract][Full Text] [Related]
3. A deep learning-based radiomics approach to predict head and neck tumor regression for adaptive radiotherapy.
Tanaka S; Kadoya N; Sugai Y; Umeda M; Ishizawa M; Katsuta Y; Ito K; Takeda K; Jingu K
Sci Rep; 2022 May; 12(1):8899. PubMed ID: 35624113
[TBL] [Abstract][Full Text] [Related]
4. Quantum recurrent neural networks for sequential learning.
Li Y; Wang Z; Han R; Shi S; Li J; Shang R; Zheng H; Zhong G; Gu Y
Neural Netw; 2023 Sep; 166():148-161. PubMed ID: 37487411
[TBL] [Abstract][Full Text] [Related]
5. Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch-based three-dimensional convolutional neural network.
Dinkla AM; Florkow MC; Maspero M; Savenije MHF; Zijlstra F; Doornaert PAH; van Stralen M; Philippens MEP; van den Berg CAT; Seevinck PR
Med Phys; 2019 Sep; 46(9):4095-4104. PubMed ID: 31206701
[TBL] [Abstract][Full Text] [Related]
6. Predicting Inpatient Payments Prior to Lower Extremity Arthroplasty Using Deep Learning: Which Model Architecture Is Best?
Karnuta JM; Navarro SM; Haeberle HS; Helm JM; Kamath AF; Schaffer JL; Krebs VE; Ramkumar PN
J Arthroplasty; 2019 Oct; 34(10):2235-2241.e1. PubMed ID: 31230954
[TBL] [Abstract][Full Text] [Related]
7. Use of deep learning to predict the need for aggressive nutritional supplementation during head and neck radiotherapy.
Dohopolski M; Wang K; Morgan H; Sher D; Wang J
Radiother Oncol; 2022 Jun; 171():129-138. PubMed ID: 35461951
[TBL] [Abstract][Full Text] [Related]
8. Automated delineation of head and neck organs at risk using synthetic MRI-aided mask scoring regional convolutional neural network.
Dai X; Lei Y; Wang T; Zhou J; Roper J; McDonald M; Beitler JJ; Curran WJ; Liu T; Yang X
Med Phys; 2021 Oct; 48(10):5862-5873. PubMed ID: 34342878
[TBL] [Abstract][Full Text] [Related]
9. Attention-aware 3D U-Net convolutional neural network for knowledge-based planning 3D dose distribution prediction of head-and-neck cancer.
Osman AFI; Tamam NM
J Appl Clin Med Phys; 2022 Jul; 23(7):e13630. PubMed ID: 35533234
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. 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]
13. Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low-field MR images.
Tong N; Gou S; Yang S; Cao M; Sheng K
Med Phys; 2019 Jun; 46(6):2669-2682. PubMed ID: 31002188
[TBL] [Abstract][Full Text] [Related]
14. Comparison of CBCT-based dose calculation methods in head and neck cancer radiotherapy: from Hounsfield unit to density calibration curve to deep learning.
Barateau A; De Crevoisier R; Largent A; Mylona E; Perichon N; Castelli J; Chajon E; Acosta O; Simon A; Nunes JC; Lafond C
Med Phys; 2020 Oct; 47(10):4683-4693. PubMed ID: 32654160
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. Prediction of inter-fractional radiotherapy dose plans with domain translation in spatiotemporal embeddings.
Svecic A; Roberge D; Kadoury S
Med Image Anal; 2020 Aug; 64():101728. PubMed ID: 32622121
[TBL] [Abstract][Full Text] [Related]
18. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
Tong N; Gou S; Yang S; Ruan D; Sheng K
Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
[TBL] [Abstract][Full Text] [Related]
19. Dosimetric Evaluation of Incorporating Patient Geometric Variations Into Adaptive Plan Optimization Through Probabilistic Treatment Planning in Head and Neck Cancers.
Liu Q; Liang J; Zhou D; Krauss DJ; Chen PY; Yan D
Int J Radiat Oncol Biol Phys; 2018 Jul; 101(4):985-997. PubMed ID: 29976511
[TBL] [Abstract][Full Text] [Related]
20. Evaluation of Deep Learning to Augment Image-Guided Radiotherapy for Head and Neck and Prostate Cancers.
Oktay O; Nanavati J; Schwaighofer A; Carter D; Bristow M; Tanno R; Jena R; Barnett G; Noble D; Rimmer Y; Glocker B; O'Hara K; Bishop C; Alvarez-Valle J; Nori A
JAMA Netw Open; 2020 Nov; 3(11):e2027426. PubMed ID: 33252691
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
