These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
170 related articles for article (PubMed ID: 38896829)
1. Multi-modal segmentation with missing image data for automatic delineation of gross tumor volumes in head and neck cancers. Zhao Y; Wang X; Phan J; Chen X; Lee A; Yu C; Huang K; Court LE; Pan T; Wang H; Wahid KA; Mohamed ASR; Naser M; Fuller CD; Yang J Med Phys; 2024 Oct; 51(10):7295-7307. PubMed ID: 38896829 [TBL] [Abstract][Full Text] [Related]
2. Gross tumor volume segmentation for head and neck cancer radiotherapy using deep dense multi-modality network. Guo Z; Guo N; Gong K; Zhong S; Li Q Phys Med Biol; 2019 Oct; 64(20):205015. PubMed ID: 31514173 [TBL] [Abstract][Full Text] [Related]
3. Comparing different CT, PET and MRI multi-modality image combinations for deep learning-based head and neck tumor segmentation. Ren J; Eriksen JG; Nijkamp J; Korreman SS Acta Oncol; 2021 Nov; 60(11):1399-1406. PubMed ID: 34264157 [TBL] [Abstract][Full Text] [Related]
4. Comparison of deep learning networks for fully automated head and neck tumor delineation on multi-centric PET/CT images. Wang Y; Lombardo E; Huang L; Avanzo M; Fanetti G; Franchin G; Zschaeck S; Weingärtner J; Belka C; Riboldi M; Kurz C; Landry G Radiat Oncol; 2024 Jan; 19(1):3. PubMed ID: 38191431 [TBL] [Abstract][Full Text] [Related]
5. Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients. Moe YM; Groendahl AR; Tomic O; Dale E; Malinen E; Futsaether CM Eur J Nucl Med Mol Imaging; 2021 Aug; 48(9):2782-2792. PubMed ID: 33559711 [TBL] [Abstract][Full Text] [Related]
6. SwinCross: Cross-modal Swin transformer for head-and-neck tumor segmentation in PET/CT images. Li GY; Chen J; Jang SI; Gong K; Li Q Med Phys; 2024 Mar; 51(3):2096-2107. PubMed ID: 37776263 [TBL] [Abstract][Full Text] [Related]
7. Information fusion for fully automated segmentation of head and neck tumors from PET and CT images. Shiri I; Amini M; Yousefirizi F; Vafaei Sadr A; Hajianfar G; Salimi Y; Mansouri Z; Jenabi E; Maghsudi M; Mainta I; Becker M; Rahmim A; Zaidi H Med Phys; 2024 Jan; 51(1):319-333. PubMed ID: 37475591 [TBL] [Abstract][Full Text] [Related]
8. Realistic CT data augmentation for accurate deep-learning based segmentation of head and neck tumors in kV images acquired during radiation therapy. Gardner M; Bouchta YB; Mylonas A; Mueller M; Cheng C; Chlap P; Finnegan R; Sykes J; Keall PJ; Nguyen DT Med Phys; 2023 Jul; 50(7):4206-4219. PubMed ID: 37029643 [TBL] [Abstract][Full Text] [Related]
9. Transfer learning for auto-segmentation of 17 organs-at-risk in the head and neck: Bridging the gap between institutional and public datasets. Clark B; Hardcastle N; Johnston LA; Korte J Med Phys; 2024 Jul; 51(7):4767-4777. PubMed ID: 38376454 [TBL] [Abstract][Full Text] [Related]
10. 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]
11. Deep learning-based automatic delineation of anal cancer gross tumour volume: a multimodality comparison of CT, PET and MRI. Groendahl AR; Moe YM; Kaushal CK; Huynh BN; Rusten E; Tomic O; Hernes E; Hanekamp B; Undseth C; Guren MG; Malinen E; Futsaether CM Acta Oncol; 2022 Jan; 61(1):89-96. PubMed ID: 34783610 [TBL] [Abstract][Full Text] [Related]
12. Fully Automated Gross Tumor Volume Delineation From PET in Head and Neck Cancer Using Deep Learning Algorithms. Shiri I; Arabi H; Sanaat A; Jenabi E; Becker M; Zaidi H Clin Nucl Med; 2021 Nov; 46(11):872-883. PubMed ID: 34238799 [TBL] [Abstract][Full Text] [Related]
13. 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]
14. Benefits of automated gross tumor volume segmentation in head and neck cancer using multi-modality information. Bollen H; Willems S; Wegge M; Maes F; Nuyts S Radiother Oncol; 2023 May; 182():109574. PubMed ID: 36822358 [TBL] [Abstract][Full Text] [Related]
15. A comparison of methods for fully automatic segmentation of tumors and involved nodes in PET/CT of head and neck cancers. Groendahl AR; Skjei Knudtsen I; Huynh BN; Mulstad M; Moe YM; Knuth F; Tomic O; Indahl UG; Torheim T; Dale E; Malinen E; Futsaether CM Phys Med Biol; 2021 Mar; 66(6):065012. PubMed ID: 33666176 [TBL] [Abstract][Full Text] [Related]
16. Head and neck tumor segmentation convolutional neural network robust to missing PET/CT modalities using channel dropout. Zhao LM; Zhang H; Kim DD; Ghimire K; Hu R; Kargilis DC; Tang L; Meng S; Chen Q; Liao WH; Bai H; Jiao Z; Feng X Phys Med Biol; 2023 Apr; 68(9):. PubMed ID: 37019119 [No Abstract] [Full Text] [Related]
17. Automated lung tumor delineation on positron emission tomography/computed tomography via a hybrid regional network. Lei Y; Wang T; Jeong JJ; Janopaul-Naylor J; Kesarwala AH; Roper J; Tian S; Bradley JD; Liu T; Higgins K; Yang X Med Phys; 2023 Jan; 50(1):274-283. PubMed ID: 36203393 [TBL] [Abstract][Full Text] [Related]
18. 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. Fully Automated Delineation of Gross Tumor Volume for Head and Neck Cancer on PET-CT Using Deep Learning: A Dual-Center Study. Huang B; Chen Z; Wu PM; Ye Y; Feng ST; Wong CO; Zheng L; Liu Y; Wang T; Li Q; Huang B Contrast Media Mol Imaging; 2018; 2018():8923028. PubMed ID: 30473644 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]