412 related articles for article (PubMed ID: 35210482)
1. 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]
2. A convolutional neural network with self-attention for fully automated metabolic tumor volume delineation of head and neck cancer in [Formula: see text]F]FDG PET/CT.
Nikulin P; Zschaeck S; Maus J; Cegla P; Lombardo E; Furth C; Kaźmierska J; Rogasch JMM; Holzgreve A; Albert NL; Ferentinos K; Strouthos I; Hajiyianni M; Marschner SN; Belka C; Landry G; Cholewinski W; Kotzerke J; Hofheinz F; van den Hoff J
Eur J Nucl Med Mol Imaging; 2023 Jul; 50(9):2751-2766. PubMed ID: 37079128
[TBL] [Abstract][Full Text] [Related]
3. A multi-objective radiomics model for the prediction of locoregional recurrence in head and neck squamous cell cancer.
Wang K; Zhou Z; Wang R; Chen L; Zhang Q; Sher D; Wang J
Med Phys; 2020 Oct; 47(10):5392-5400. PubMed ID: 32657426
[TBL] [Abstract][Full Text] [Related]
4. 2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma.
Starke S; Leger S; Zwanenburg A; Leger K; Lohaus F; Linge A; Schreiber A; Kalinauskaite G; Tinhofer I; Guberina N; Guberina M; Balermpas P; von der Grün J; Ganswindt U; Belka C; Peeken JC; Combs SE; Boeke S; Zips D; Richter C; Troost EGC; Krause M; Baumann M; Löck S
Sci Rep; 2020 Sep; 10(1):15625. PubMed ID: 32973220
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Predictive value of quantitative diffusion-weighted imaging and 18-F-FDG-PET in head and neck squamous cell carcinoma treated by (chemo)radiotherapy.
Martens RM; Noij DP; Koopman T; Zwezerijnen B; Heymans M; de Jong MC; Hoekstra OS; Vergeer MR; de Bree R; Leemans CR; de Graaf P; Boellaard R; Castelijns JA
Eur J Radiol; 2019 Apr; 113():39-50. PubMed ID: 30927958
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Immunohistochemical and molecular imaging biomarker signature for the prediction of failure site after chemoradiation for head and neck squamous cell carcinoma.
Rasmussen GB; Håkansson KE; Vogelius IR; Rasmussen JH; Friborg JT; Fischer BM; Schumaker L; Cullen K; Therkildsen MH; Bentzen SM; Specht L
Acta Oncol; 2017 Nov; 56(11):1562-1570. PubMed ID: 28840766
[TBL] [Abstract][Full Text] [Related]
9. [Formula: see text]: deep learning-based radiomics for the time-to-event outcome prediction in lung cancer.
Afshar P; Mohammadi A; Tyrrell PN; Cheung P; Sigiuk A; Plataniotis KN; Nguyen ET; Oikonomou A
Sci Rep; 2020 Jul; 10(1):12366. PubMed ID: 32703973
[TBL] [Abstract][Full Text] [Related]
10. Correlation between fluorodeoxyglucose hotspots on pretreatment positron emission tomography/CT and preferential sites of local relapse after chemoradiotherapy for head and neck squamous cell carcinoma.
Chaput A; Calais J; Robin P; Thureau S; Bourhis D; Modzelewski R; Schick U; Vera P; Salaün PY; Abgral R
Head Neck; 2017 Jun; 39(6):1155-1165. PubMed ID: 28263422
[TBL] [Abstract][Full Text] [Related]
11. Comparison of PET and CT radiomics for prediction of local tumor control in head and neck squamous cell carcinoma.
Bogowicz M; Riesterer O; Stark LS; Studer G; Unkelbach J; Guckenberger M; Tanadini-Lang S
Acta Oncol; 2017 Nov; 56(11):1531-1536. PubMed ID: 28820287
[TBL] [Abstract][Full Text] [Related]
12. Functional-structural sub-region graph convolutional network (FSGCN): Application to the prognosis of head and neck cancer with PET/CT imaging.
Lv W; Zhou Z; Peng J; Peng L; Lin G; Wu H; Xu H; Lu L
Comput Methods Programs Biomed; 2023 Mar; 230():107341. PubMed ID: 36682111
[TBL] [Abstract][Full Text] [Related]
13. Artificial intelligence to predict outcomes of head and neck radiotherapy.
Bang C; Bernard G; Le WT; Lalonde A; Kadoury S; Bahig H
Clin Transl Radiat Oncol; 2023 Mar; 39():100590. PubMed ID: 36935854
[TBL] [Abstract][Full Text] [Related]
14. Prediction of local relapse and distant metastasis in patients with definitive chemoradiotherapy-treated cervical cancer by deep learning from [
Shen WC; Chen SW; Wu KC; Hsieh TC; Liang JA; Hung YC; Yeh LS; Chang WC; Lin WC; Yen KY; Kao CH
Eur Radiol; 2019 Dec; 29(12):6741-6749. PubMed ID: 31134366
[TBL] [Abstract][Full Text] [Related]
15. Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study.
Gottlich HC; Gregory AV; Sharma V; Khanna A; Moustafa AU; Lohse CM; Potretzke TA; Korfiatis P; Potretzke AM; Denic A; Rule AD; Takahashi N; Erickson BJ; Leibovich BC; Kline TL
J Digit Imaging; 2023 Aug; 36(4):1770-1781. PubMed ID: 36932251
[TBL] [Abstract][Full Text] [Related]
16. Use of Diffusion-Weighted Imaging and
Noij DP; Martens RM; Koopman T; Hoekstra OS; Comans EFI; Zwezerijnen B; de Bree R; de Graaf P; Castelijns JA
Clin Oncol (R Coll Radiol); 2018 Dec; 30(12):780-792. PubMed ID: 30318343
[TBL] [Abstract][Full Text] [Related]
17. Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics.
Kazmierski M; Welch M; Kim S; McIntosh C; Rey-McIntyre K; Huang SH; Patel T; Tadic T; Milosevic M; Liu FF; Ryczkowski A; Kazmierska J; Ye Z; Plana D; Aerts HJWL; Kann BH; Bratman SV; Hope AJ; Haibe-Kains B
Cancer Res Commun; 2023 Jun; 3(6):1140-1151. PubMed ID: 37397861
[TBL] [Abstract][Full Text] [Related]
18. Towards reliable head and neck cancers locoregional recurrence prediction using delta-radiomics and learning with rejection option.
Wang K; Dohopolski M; Zhang Q; Sher D; Wang J
Med Phys; 2023 Apr; 50(4):2212-2223. PubMed ID: 36484346
[TBL] [Abstract][Full Text] [Related]
19. Parametric image generation with the uEXPLORER total-body PET/CT system through deep learning.
Huang Z; Wu Y; Fu F; Meng N; Gu F; Wu Q; Zhou Y; Yang Y; Liu X; Zheng H; Liang D; Wang M; Hu Z
Eur J Nucl Med Mol Imaging; 2022 Jul; 49(8):2482-2492. PubMed ID: 35312030
[TBL] [Abstract][Full Text] [Related]
20. A Deep Neural Network Application for Improved Prediction of [Formula: see text] in Type 1 Diabetes.
Zaitcev A; Eissa MR; Hui Z; Good T; Elliott J; Benaissa M
IEEE J Biomed Health Inform; 2020 Oct; 24(10):2932-2941. PubMed ID: 31976917
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
