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Publication search results
found 114 matches
- 2025
- Yaru Cheng, Yuanjie Zheng, Junxia Wang:
CFNet: Automatic multi-modal brain tumor segmentation through hierarchical coarse-to-fine fusion and feature communication. Biomed. Signal Process. Control. 99: 106876 (2025) - 2024
- Hengxin Liu, Jingteng Huang, Qiang Li, Xin Guan, Ming-Lang Tseng:
A deep convolutional neural network for the automatic segmentation of glioblastoma brain tumor: Joint spatial pyramid module and attention mechanism network. Artif. Intell. Medicine 148: 102776 (2024) - Ekram Chamseddine, Lotfi Tlig, Mounir Sayadi:
Enhanced Deep Learning Framework for Automatic MRI Brain Tumor Segmentation with Data Augmentation. ATSIP 2024: 409-413 - Shoffan Saifullah, Rafal Drezewski:
Automatic Brain Tumor Segmentation Using Convolutional Neural Networks: U-Net Framework with PSO-Tuned Hyperparameters. PPSN (3) 2024: 333-351 - 2023
- Shiny K. V., N. Sugitha:
BirCat Optimization for Automatic Segmentation of Brain Tumors and Pixel Change Detection Using Post-operative MRI Images. J. Digit. Imaging 36(2): 647-665 (2023) - Simy Mary Kurian, Sujitha Juliet:
An automatic and intelligent brain tumor detection using Lee sigma filtered histogram segmentation model. Soft Comput. 27(18): 13305-13319 (2023) - K. Bhima, M. Neelakantappa, K. Dasaradh Ramaiah, A. Jagan:
An Efficient and Automatic Framework for Segmentation and Analysis of Tumor Structure in Brain MRI Images. ICCCSP 2023: 66-78 - Zhenhua Cai, Xiaoli Lin, Xiaolong Zhang, Jing Hu:
DU-DANet: Efficient 3D Automatic Brain Tumor Segmentation Based on Dual Attention. ICIC (3) 2023: 791-802 - Guiqiang Zhang, Jianting Shi, Wenqiang Liu, Guifu Zhang, Yuanhan He:
Research on Automatic Segmentation Algorithm of Brain Tumor Image Based on Multi-sequence Self-supervised Fusion in Complex Scenes. ICONIP (10) 2023: 28-49 - Xinyang Liu, Erin R. Bonner, Zhifan Jiang, Holger R. Roth, Syed Muhammad Anwar, Roger J. Packer, Miriam Bornhorst, Marius George Linguraru:
Automatic Segmentation of Rare Pediatric Brain Tumors Using Knowledge Transfer From Adult Data. ISBI 2023: 1-4 - Xinyang Liu, Erin R. Bonner, Zhifan Jiang, Holger R. Roth, Roger J. Packer, Miriam Bornhorst, Marius George Linguraru:
From adult to pediatric: deep learning-based automatic segmentation of rare pediatric brain tumors. Medical Imaging: Computer-Aided Diagnosis 2023 - Jingpeng Li, Atle Bjørnerud:
Automatic Postoperative Brain Tumor Segmentation with Limited Data using Transfer Learning and Triplet Attention. NLDL 2023 - Tejashwini P. S, Thriveni J, Venugopal K. R:
A Novel SLCA-UNet Architecture for Automatic MRI Brain Tumor Segmentation. CoRR abs/2307.08048 (2023) - 2022
- Siva Koteswara Rao Chinnam, Venkatramaphanikumar Sistla, Venkata Krishna Kishore Kolli:
Multimodal attention-gated cascaded U-Net model for automatic brain tumor detection and segmentation. Biomed. Signal Process. Control. 78: 103907 (2022) - Pengyu Li, Wenhao Wu, Lanxiang Liu, Fardad Michael Serry, Jinjia Wang, Hui Han:
Automatic brain tumor segmentation from Multiparametric MRI based on cascaded 3D U-Net and 3D U-Net++. Biomed. Signal Process. Control. 78: 103979 (2022) - C. Jaspin Jeba Sheela, G. Suganthi:
Automatic Brain Tumor Segmentation from MRI using Greedy Snake Model and Fuzzy C-Means Optimization. J. King Saud Univ. Comput. Inf. Sci. 34(3): 557-566 (2022) - Yu Wang, Yarong Ji:
TensorMixup Data Augmentation Method for Fully Automatic Brain Tumor Segmentation. ICPR 2022: 4615-4622 - Hao Li, Yang Nan, Guang Yang:
LKAU-Net: 3D Large-Kernel Attention-Based U-Net for Automatic MRI Brain Tumor Segmentation. MIUA 2022: 313-327 - Yu Wang, Yarong Ji, Hongbing Xiao:
A Data Augmentation Method for Fully Automatic Brain Tumor Segmentation. CoRR abs/2202.06344 (2022) - 2021
- Baoshi Chen, Lingling Zhang, Hongyan Chen, Kewei Liang, Xuzhu Chen:
A novel extended Kalman filter with support vector machine based method for the automatic diagnosis and segmentation of brain tumors. Comput. Methods Programs Biomed. 200: 105797 (2021) - Kalaiselvi Thiruvenkadam, Kalaichelvi Nagarajan:
Fully automatic brain tumor extraction and tissue segmentation from multimodal MRI brain images. Int. J. Imaging Syst. Technol. 31(1): 336-350 (2021) - Mohamed Amine Guerroudji, Kahina Amara, Samir Benbelkacem, Adel Oulefki, Nadia Zenati, Djamel Aouam, Oualid Djekoune, Mostefa Masmoudi:
Automatic Brain Tumor Segmentation, and 3D Reconstruction and Visualization Using Augmented Reality. AI-CSP 2021: 1-5 - Alexandre Carré, Eric Deutsch, Charlotte Robert:
Automatic Brain Tumor Segmentation with a Bridge-Unet Deeply Supervised Enhanced with Downsampling Pooling Combination, Atrous Spatial Pyramid Pooling, Squeeze-and-Excitation and EvoNorm. BrainLes@MICCAI (2) 2021: 253-266 - Zhaopei Li, Zhiqiang Shen, Jianhui Wen, Tian He, Lin Pan:
Automatic Brain Tumor Segmentation Using Multi-scale Features and Attention Mechanism. BrainLes@MICCAI (1) 2021: 216-226 - Camillo Saueressig, Adam Berkley, Reshma Munbodh, Ritambhara Singh:
A Joint Graph and Image Convolution Network for Automatic Brain Tumor Segmentation. BrainLes@MICCAI (1) 2021: 356-365 - Yaying Shi, Christian Micklisch, Erum Mushtaq, Salman Avestimehr, Yonghong Yan, Xiaodong Zhang:
An Ensemble Approach to Automatic Brain Tumor Segmentation. BrainLes@MICCAI (2) 2021: 138-148 - Yading Yuan:
Evaluating Scale Attention Network for Automatic Brain Tumor Segmentation with Large Multi-parametric MRI Database. BrainLes@MICCAI (2) 2021: 42-53 - Benjamin Maas, Erfan Zabeh, Soroush Arabshahi:
QuickTumorNet: Fast Automatic Multi-Class Segmentation of Brain Tumors. NER 2021: 81-85 - Vikas Kumar Anand, Sanjeev Grampurohit, Pranav Aurangabadkar, Avinash Kori, Mahendra Khened, Raghavendra S. Bhat, Ganapathy Krishnamurthi:
Brain Tumor Segmentation and Survival Prediction using Automatic Hard mining in 3D CNN Architecture. CoRR abs/2101.01546 (2021) - Xi Guan, Guang Yang, Jianming Ye, Weiji Yang, Xiaomei Xu, Weiwei Jiang, Xiaobo Lai:
3D AGSE-VNet: An Automatic Brain Tumor MRI Data Segmentation Framework. CoRR abs/2107.12046 (2021)
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