Research graph
References from LiteFreqMamba:lightweight frequency-enhanced Mamba for efficient 3D brain tumor segmentation. Local targets link to admitted publications; unresolved targets remain external evidence.
The RSNA-ASNR-MICCAI BraTS 2021 benchmark on brain tumor segmentation and radiogenomic classification
10.3389/fradi.2021.704187 · 2021 · External reference
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BraTS challenge
10.48550/arxiv.1811.02629 · 2018 · External reference
The 2021 WHO classification of tumors of the central nervous system: a summary
10.1093/neuonc/noab106 · 2021 · External reference
Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features
10.1038/sdata.2017.117 · 2017 · External reference
The multimodal brain tumor image segmentation benchmark (BRATS)
10.1109/tmi.2014.2377694 · 2015 · External reference
Fully convolutional networks for semantic segmentation
10.1109/cvpr.2015.7298965 · 2015 · External reference
3D U-Net: Learning dense volumetric segmentation from sparse annotation
10.1007/978-3-319-46723-8_49 · 2016 · External reference
U-Net: Convolutional networks for biomedical image segmentation
10.1007/978-3-319-24574-4_28 · 2015 · External reference
UNet++: A nested U-Net architecture for medical image segmentation
10.1007/978-3-030-00889-5_1 · 2020 · External reference
DeepLab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs
10.1109/tpami.2017.2699184 · 2018 · External reference
Swin UNETR: Swin transformers for semantic segmentation of brain tumors in MRI images
10.1007/978-3-031-08999-2_22 · 2022 · External reference
V-Net: Fully convolutional neural networks for volumetric medical image segmentation
10.1109/3dv.2016.79 · 2016 · External reference
An image is worth 16x16 words: Transformers for image recognition at scale
2021 · External reference
UNETR: Transformers for 3D medical image segmentation
10.1109/wacv51458.2022.00181 · 2022 · External reference
TransBTS: Multimodal brain tumor segmentation using transformer
10.1007/978-3-030-87193-2_11 · 2021 · External reference
Attention is all you need
2017 · External reference
Swin transformer: Hierarchical vision transformer using shifted windows
10.1109/iccv48922.2021.00986 · 2021 · External reference
Pale transformer: A general vision transformer backbone with pale-shaped attention
10.1609/aaai.v36i3.20176 · 2022 · External reference
Mamba: linear-time sequence modeling with selective state spaces
10.48550/arxiv.2312.00752 · 2023 · External reference
Efficiently modeling long sequences with structured state spaces
2022 · External reference
Hybrid CNN-Mamba model for multi-scale fundus image enhancement
10.1364/boe.542471 · 2025 · External reference
SAFFusion: A saliency-aware frequency fusion network for multimodal medical image fusion
10.1364/boe.555458 · 2025 · External reference
U-Mamba: Enhancing long-range dependency for biomedical image segmentation
10.48550/arxiv.2401.04722 · 2024 · External reference
SegMamba: Long-range sequential modeling mamba for 3D medical image segmentation
10.1007/978-3-031-72111-3_54 · 2024 · External reference
On the spectral bias of neural networks
2019 · External reference
Wavelet-attention CNN for brain tumor segmentation
2022 · External reference
10.1038/s41592-020-01008-z · 2021 · Admitted local publication
Deep learning-based vessel extraction in 3D confocal microscope images of cleared human glioma tissues
10.1364/boe.516541 · 2024 · External reference
Swin transformer v2: Scaling up capacity and resolution
10.1109/cvpr52688.2022.01170 · 2022 · External reference
HiPPO: Recurrent memory with optimal polynomial projections
2020 · External reference
Vision mamba: Efficient visual representation learning with bidirectional state space model
2024 · External reference
VMamba: Visual state space model
10.52202/079017-3273 · 2024 · External reference
Fast fourier convolution
2020 · External reference
FcaNet: Frequency channel attention networks
10.1109/iccv48922.2021.00082 · 2021 · External reference
WaveViT: Wavelet vision transformer for visual recognition
2022 · External reference
Multi-level wavelet-based generative adversarial network for image restoration
2018 · External reference
DuDoRNet: Learning a dual-domain recurrent network for fast MRI reconstruction with deep T1 prior
10.1109/cvpr42600.2020.00433 · 2020 · External reference
Attention unet: Learning where to look for the pancreas
10.48550/arxiv.1804.03999 · 2018 · External reference
Squeeze-and-excitation networks
10.1109/cvpr.2018.00745 · 2018 · External reference
MONAI: An open-source framework for deep learning in healthcare
10.48550/arxiv.2211.02701 · 2022 · External reference
Decoupled weight decay regularization
2019 · External reference
