Cross-Modality Deep Feature Learning for Brain Tumor Segmentation

Cross-Modality Deep Feature Learning for Brain Tumor Segmentation

7 January 2022

Dingwen Zhang

Jungong Han

Junwei Han

Papers citing "Cross-Modality Deep Feature Learning for Brain Tumor Segmentation"

9 / 9 papers shown

Title
sDREAMER: Self-distilled Mixture-of-Modality-Experts Transformer for Automatic Sleep Staging Jingyuan Chen Yuan Yao Mie Anderson Natalie Hauglund Celia Kjaerby Verena Untiet Maiken Nedergaard Jiebo Luo 41 1 0 28 Jan 2025
Real-Time Image Segmentation via Hybrid Convolutional-Transformer Architecture Search Hongyuan Yu Cheng Wan Mengchen Liu Dongdong Chen Bin Xiao Xiyang Dai Yan Huang Yuan Lu Liang Wang 71 5 0 15 Mar 2024
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation Cheng Li Y. Osman Weijian Huang Zhen-long Xue H. Han Hairong Zheng Shanshan Wang 11 1 0 16 Nov 2022
Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients J. Nalepa Krzysztof Kotowski B. Machura Szymon Adamski O. Bożek ... Marek Strzelczak Lukasz Zarudzki A. Krason F. Arcadu J. Tessier 16 18 0 03 Sep 2022
A Tri-attention Fusion Guided Multi-modal Segmentation Network Tongxue Zhou S. Ruan P. Vera S. Canu MedIm 35 45 0 02 Nov 2021
nnFormer: Interleaved Transformer for Volumetric Segmentation Hong-Yu Zhou J. Guo Yinghao Zhang Lequan Yu Liansheng Wang Yizhou Yu ViT MedIm 27 307 0 07 Sep 2021
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities Tongxue Zhou S. Canu P. Vera S. Ruan 21 141 0 13 Apr 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation K. R. M. Fernando Cris P Tsokos 23 53 0 09 Mar 2021
CPP-Net: Context-aware Polygon Proposal Network for Nucleus Segmentation Shengcong Chen Changxing Ding Minfeng Liu Jun Cheng Dacheng Tao 45 46 0 13 Feb 2021