123 related articles for article (PubMed ID: 38593831)
1. BAF-Net: bidirectional attention-aware fluid pyramid feature integrated multimodal fusion network for diagnosis and prognosis.
Wu H; Peng L; Du D; Xu H; Lin G; Zhou Z; Lu L; Lv W
Phys Med Biol; 2024 Apr; 69(10):. PubMed ID: 38593831
[No Abstract] [Full Text] [Related]
2. 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]
3. DMCT-Net: dual modules convolution transformer network for head and neck tumor segmentation in PET/CT.
Wang J; Peng Y; Guo Y
Phys Med Biol; 2023 May; 68(11):. PubMed ID: 37141902
[No Abstract] [Full Text] [Related]
4. CCGL-YOLOV5:A cross-modal cross-scale global-local attention YOLOV5 lung tumor detection model.
Zhou T; Liu F; Ye X; Wang H; Lu H
Comput Biol Med; 2023 Oct; 165():107387. PubMed ID: 37659112
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. ISA-Net: Improved spatial attention network for PET-CT tumor segmentation.
Huang Z; Zou S; Wang G; Chen Z; Shen H; Wang H; Zhang N; Zhang L; Yang F; Wang H; Liang D; Niu T; Zhu X; Hu Z
Comput Methods Programs Biomed; 2022 Nov; 226():107129. PubMed ID: 36156438
[TBL] [Abstract][Full Text] [Related]
7. Overall Survival Prognostic Modelling of Non-small Cell Lung Cancer Patients Using Positron Emission Tomography/Computed Tomography Harmonised Radiomics Features: The Quest for the Optimal Machine Learning Algorithm.
Amini M; Hajianfar G; Hadadi Avval A; Nazari M; Deevband MR; Oveisi M; Shiri I; Zaidi H
Clin Oncol (R Coll Radiol); 2022 Feb; 34(2):114-127. PubMed ID: 34872823
[TBL] [Abstract][Full Text] [Related]
8. MFCNet: A multi-modal fusion and calibration networks for 3D pancreas tumor segmentation on PET-CT images.
Wang F; Cheng C; Cao W; Wu Z; Wang H; Wei W; Yan Z; Liu Z
Comput Biol Med; 2023 Mar; 155():106657. PubMed ID: 36791551
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising.
Fu M; Zhang N; Huang Z; Zhou C; Zhang X; Yuan J; He Q; Yang Y; Zheng H; Liang D; Wu FX; Fan W; Hu Z
IEEE Trans Med Imaging; 2024 Apr; 43(4):1554-1567. PubMed ID: 38096101
[TBL] [Abstract][Full Text] [Related]
12. Boundary Aware Semantic Segmentation using Pyramid-dilated Dense U-Net for Lung Segmentation in Computed Tomography Images.
Agnes SA
J Med Phys; 2023; 48(2):161-174. PubMed ID: 37576094
[TBL] [Abstract][Full Text] [Related]
13. LSAM: L2-norm self-attention and latent space feature interaction for automatic 3D multi-modal head and neck tumor segmentation.
Li L; Tan J; Yu L; Li C; Nan H; Zheng S
Phys Med Biol; 2023 Nov; 68(22):. PubMed ID: 37852283
[No Abstract] [Full Text] [Related]
14. Semisupervised 3D segmentation of pancreatic tumors in positron emission tomography/computed tomography images using a mutual information minimization and cross-fusion strategy.
Shao M; Cheng C; Hu C; Zheng J; Zhang B; Wang T; Jin G; Liu Z; Zuo C
Quant Imaging Med Surg; 2024 Feb; 14(2):1747-1765. PubMed ID: 38415108
[TBL] [Abstract][Full Text] [Related]
15. MHD-Net: Memory-Aware Hetero-Modal Distillation Network for Thymic Epithelial Tumor Typing With Missing Pathology Modality.
Zhang H; Liu J; Liu W; Chen H; Yu Z; Yuan Y; Wang P; Qin J
IEEE J Biomed Health Inform; 2024 May; 28(5):3003-3014. PubMed ID: 38470599
[TBL] [Abstract][Full Text] [Related]
16. Recurrent feature fusion learning for multi-modality pet-ct tumor segmentation.
Bi L; Fulham M; Li N; Liu Q; Song S; Dagan Feng D; Kim J
Comput Methods Programs Biomed; 2021 May; 203():106043. PubMed ID: 33744750
[TBL] [Abstract][Full Text] [Related]
17. FCP-Net: A Feature-Compression-Pyramid Network Guided by Game-Theoretic Interactions for Medical Image Segmentation.
Liu Y; Zhou J; Liu L; Zhan Z; Hu Y; Fu Y; Duan H
IEEE Trans Med Imaging; 2022 Jun; 41(6):1482-1496. PubMed ID: 34982679
[TBL] [Abstract][Full Text] [Related]
18. CAM-Wnet: An effective solution for accurate pulmonary embolism segmentation.
Liu Z; Yuan H; Wang H
Med Phys; 2022 Aug; 49(8):5294-5303. PubMed ID: 35609213
[TBL] [Abstract][Full Text] [Related]
19. Spatial adaptive and transformer fusion network (STFNet) for low-count PET blind denoising with MRI.
Zhang L; Xiao Z; Zhou C; Yuan J; He Q; Yang Y; Liu X; Liang D; Zheng H; Fan W; Zhang X; Hu Z
Med Phys; 2022 Jan; 49(1):343-356. PubMed ID: 34796526
[TBL] [Abstract][Full Text] [Related]
20. Multi-Level Multi-Modality Fusion Radiomics: Application to PET and CT Imaging for Prognostication of Head and Neck Cancer.
Lv W; Ashrafinia S; Ma J; Lu L; Rahmim A
IEEE J Biomed Health Inform; 2020 Aug; 24(8):2268-2277. PubMed ID: 31804945
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]