BPG is committed to discovery and dissemination of knowledge
JOURNAL HOME
Number of total visits
218241
Number of visits today
22
Number of downloads
58061
MEMBERSHIP
BPG JOURNALS
Cited by in F6Publishing
For: Ilhan A, Sekeroglu B, Abiyev R. Brain tumor segmentation in MRI images using nonparametric localization and enhancement methods with U-net. Int J CARS. [DOI: 10.1007/s11548-022-02566-7] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Hao D, Li H. A graph‐based edge attention gate medical image segmentation method. IET Image Processing 2023. [DOI: 10.1049/ipr2.12780] [Reference Citation Analysis]
2 Zhou T, Ruan S, Hu H. A literature survey of MR-based brain tumor segmentation with missing modalities. Comput Med Imaging Graph 2023;104:102167. [PMID: 36584536 DOI: 10.1016/j.compmedimag.2022.102167] [Reference Citation Analysis]
3 Sahli H, Ben Slama A, Zeraii A, Labidi S, Sayadi M. ResNet-SVM: Fusion based glioblastoma tumor segmentation and classification. J Xray Sci Technol 2023;31:27-48. [PMID: 36278391 DOI: 10.3233/XST-221240] [Reference Citation Analysis]
4 Ilhan A, Alpan K, Sekeroglu B, Abiyev R. COVID-19 Lung CT image segmentation using localization and enhancement methods with U-Net. Procedia Comput Sci 2023;218:1660-7. [PMID: 36743788 DOI: 10.1016/j.procs.2023.01.144] [Reference Citation Analysis]
5 Wang L, Yu L, Zhu J, Tang H, Gou F, Wu J. Auxiliary Segmentation Method of Osteosarcoma in MRI Images Based on Denoising and Local Enhancement. Healthcare 2022;10:1468. [DOI: 10.3390/healthcare10081468] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
6 Ramaraj K, Govindaraj V, Zhang Y, Rajasekaran Murugan P, Wang S, Thiyagarajan A, Sankaran S. Agnostic multimodal brain anomalies detection using a novel single-structured framework for better patient diagnosis and therapeutic planning in clinical oncology. Biomedical Signal Processing and Control 2022;77:103786. [DOI: 10.1016/j.bspc.2022.103786] [Reference Citation Analysis]
7 Zeineldin RA, Karar ME, Elshaer Z, Coburger J, Wirtz CR, Burgert O, Mathis-Ullrich F. Explainability of deep neural networks for MRI analysis of brain tumors. Int J Comput Assist Radiol Surg 2022. [PMID: 35460019 DOI: 10.1007/s11548-022-02619-x] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
Write to the Help Desk
© 2004-2023 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

California Corporate Number: 3537345