172 related articles for article (PubMed ID: 37134002)
1. Whole-body tumor segmentation from PET/CT images using a two-stage cascaded neural network with camouflaged object detection mechanisms.
He J; Zhang Y; Chung M; Wang M; Wang K; Ma Y; Ding X; Li Q; Pu Y
Med Phys; 2023 Oct; 50(10):6151-6162. PubMed ID: 37134002
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Deep neural network for automatic volumetric segmentation of whole-body CT images for body composition assessment.
Lee YS; Hong N; Witanto JN; Choi YR; Park J; Decazes P; Eude F; Kim CO; Chang Kim H; Goo JM; Rhee Y; Yoon SH
Clin Nutr; 2021 Aug; 40(8):5038-5046. PubMed ID: 34365038
[TBL] [Abstract][Full Text] [Related]
5. Deep segmentation networks predict survival of non-small cell lung cancer.
Baek S; He Y; Allen BG; Buatti JM; Smith BJ; Tong L; Sun Z; Wu J; Diehn M; Loo BW; Plichta KA; Seyedin SN; Gannon M; Cabel KR; Kim Y; Wu X
Sci Rep; 2019 Nov; 9(1):17286. PubMed ID: 31754135
[TBL] [Abstract][Full Text] [Related]
6. ABCNet: A new efficient 3D dense-structure network for segmentation and analysis of body tissue composition on body-torso-wide CT images.
Liu T; Pan J; Torigian DA; Xu P; Miao Q; Tong Y; Udupa JK
Med Phys; 2020 Jul; 47(7):2986-2999. PubMed ID: 32170754
[TBL] [Abstract][Full Text] [Related]
7. Cross modality fusion for modality-specific lung tumor segmentation in PET-CT images.
Zhang X; Zhang B; Deng S; Meng Q; Chen X; Xiang D
Phys Med Biol; 2022 Nov; 67(22):. PubMed ID: 36220014
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. A novel adaptive cubic quasi-Newton optimizer for deep learning based medical image analysis tasks, validated on detection of COVID-19 and segmentation for COVID-19 lung infection, liver tumor, and optic disc/cup.
Liu Y; Zhang M; Zhong Z; Zeng X
Med Phys; 2023 Mar; 50(3):1528-1538. PubMed ID: 36057788
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Automatic anatomy recognition in whole-body PET/CT images.
Wang H; Udupa JK; Odhner D; Tong Y; Zhao L; Torigian DA
Med Phys; 2016 Jan; 43(1):613. PubMed ID: 26745953
[TBL] [Abstract][Full Text] [Related]
12. Prognostic value of metabolic tumor burden from (18)F-FDG PET in surgical patients with non-small-cell lung cancer.
Zhang H; Wroblewski K; Liao S; Kampalath R; Penney BC; Zhang Y; Pu Y
Acad Radiol; 2013 Jan; 20(1):32-40. PubMed ID: 22999369
[TBL] [Abstract][Full Text] [Related]
13. Body region localization in whole-body low-dose CT images of PET/CT scans using virtual landmarks.
Bai P; Udupa JK; Tong Y; Xie S; Torigian DA
Med Phys; 2019 Mar; 46(3):1286-1299. PubMed ID: 30609058
[TBL] [Abstract][Full Text] [Related]
14. DGCBG-Net: A dual-branch network with global cross-modal interaction and boundary guidance for tumor segmentation in PET/CT images.
Zou Z; Zou B; Kui X; Chen Z; Li Y
Comput Methods Programs Biomed; 2024 Jun; 250():108125. PubMed ID: 38631130
[TBL] [Abstract][Full Text] [Related]
15. Modality-Specific Segmentation Network for Lung Tumor Segmentation in PET-CT Images.
Xiang D; Zhang B; Lu Y; Deng S
IEEE J Biomed Health Inform; 2023 Mar; 27(3):1237-1248. PubMed ID: 35759605
[TBL] [Abstract][Full Text] [Related]
16. Tumor Segmentation and Feature Extraction from Whole-Body FDG-PET/CT Using Cascaded 2D and 3D Convolutional Neural Networks.
Jemaa S; Fredrickson J; Carano RAD; Nielsen T; de Crespigny A; Bengtsson T
J Digit Imaging; 2020 Aug; 33(4):888-894. PubMed ID: 32378059
[No Abstract] [Full Text] [Related]
17. Quantification of body-torso-wide tissue composition on low-dose CT images via automatic anatomy recognition.
Liu T; Udupa JK; Miao Q; Tong Y; Torigian DA
Med Phys; 2019 Mar; 46(3):1272-1285. PubMed ID: 30614020
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Prostate and dominant intraprostatic lesion segmentation on PET/CT using cascaded regional-net.
Matkovic LA; Wang T; Lei Y; Akin-Akintayo OO; Abiodun Ojo OA; Akintayo AA; Roper J; Bradley JD; Liu T; Schuster DM; Yang X
Phys Med Biol; 2021 Dec; 66(24):. PubMed ID: 34808603
[TBL] [Abstract][Full Text] [Related]
20. Generating lung tumor internal target volumes from 4D-PET maximum intensity projections.
Lamb JM; Robinson C; Bradley J; Laforest R; Dehdashti F; White BM; Wuenschel S; Low DA
Med Phys; 2011 Oct; 38(10):5732-7. PubMed ID: 21992387
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
