247 related articles for article (PubMed ID: 34238799)
1. 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]
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. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9. Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework.
Shiri I; Vafaei Sadr A; Amini M; Salimi Y; Sanaat A; Akhavanallaf A; Razeghi B; Ferdowsi S; Saberi A; Arabi H; Becker M; Voloshynovskiy S; Gündüz D; Rahmim A; Zaidi H
Clin Nucl Med; 2022 Jul; 47(7):606-617. PubMed ID: 35442222
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
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. Clinical Evaluation of Deep Learning for Tumor Delineation on
Kovacs DG; Ladefoged CN; Andersen KF; Brittain JM; Christensen CB; Dejanovic D; Hansen NL; Loft A; Petersen JH; Reichkendler M; Andersen FL; Fischer BM
J Nucl Med; 2024 Feb; 65(4):623-9. PubMed ID: 38388516
[TBL] [Abstract][Full Text] [Related]
14. Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss.
Xu Y; Klyuzhin I; Harsini S; Ortiz A; Zhang S; Bénard F; Dodhia R; Uribe CF; Rahmim A; Lavista Ferres J
Comput Biol Med; 2023 May; 158():106882. PubMed ID: 37037147
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Automatic gross tumor segmentation of canine head and neck cancer using deep learning and cross-species transfer learning.
Groendahl AR; Huynh BN; Tomic O; Søvik Å; Dale E; Malinen E; Skogmo HK; Futsaether CM
Front Vet Sci; 2023; 10():1143986. PubMed ID: 37026102
[TBL] [Abstract][Full Text] [Related]
17. A multimodality segmentation framework for automatic target delineation in head and neck radiotherapy.
Yang J; Beadle BM; Garden AS; Schwartz DL; Aristophanous M
Med Phys; 2015 Sep; 42(9):5310-20. PubMed ID: 26328980
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. TMTV-Net: fully automated total metabolic tumor volume segmentation in lymphoma PET/CT images - a multi-center generalizability analysis.
Yousefirizi F; Klyuzhin IS; O JH; Harsini S; Tie X; Shiri I; Shin M; Lee C; Cho SY; Bradshaw TJ; Zaidi H; Bénard F; Sehn LH; Savage KJ; Steidl C; Uribe CF; Rahmim A
Eur J Nucl Med Mol Imaging; 2024 Jun; 51(7):1937-1954. PubMed ID: 38326655
[TBL] [Abstract][Full Text] [Related]
20. Deep learning based time-to-event analysis with PET, CT and joint PET/CT for head and neck cancer prognosis.
Wang Y; Lombardo E; Avanzo M; Zschaek S; Weingärtner J; Holzgreve A; Albert NL; Marschner S; Fanetti G; Franchin G; Stancanello J; Walter F; Corradini S; Niyazi M; Lang J; Belka C; Riboldi M; Kurz C; Landry G
Comput Methods Programs Biomed; 2022 Jul; 222():106948. PubMed ID: 35752119
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]