Cover Image

Degradation-Aware Blur-Segmentation of Brain Tumor

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Yuchun, Li, Xiaosong, Liang, Gefei, Liu, Yang
Format:	Preprint
Published:	2026
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Segment Anything Model for Brain Tumor Segmentation
by: Zhang, Peng, et al.
Published: (2023)

Frequency-Aware Ensemble Learning for BraTS 2025 Pediatric Brain Tumor Segmentation
by: Yi, Yuxiao, et al.
Published: (2025)

Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective
by: Shao, Minye, et al.
Published: (2025)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
by: Li, Hongwei Bran, et al.
Published: (2023)

An Ensemble Approach for Brain Tumor Segmentation and Synthesis
by: Rivera, Juampablo E. Heras, et al.
Published: (2024)

AMGFormer: Adaptive Multi-Granular Transformer for Brain Tumor Segmentation with Missing Modalities
by: Guo, Chengxiang, et al.
Published: (2026)

Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging
by: Capellán-Martín, Daniel, et al.
Published: (2024)

BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification
by: Fateh, Amirreza, et al.
Published: (2025)

Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation
by: Fu, Jingru, et al.
Published: (2024)

A New Logic For Pediatric Brain Tumor Segmentation
by: Bengtsson, Max, et al.
Published: (2024)

Fed-MUnet: Multi-modal Federated Unet for Brain Tumor Segmentation
by: Zhou, Ruojun, et al.
Published: (2024)

EndoCaver: Handling Fog, Blur and Glare in Endoscopic Images via Joint Deblurring-Segmentation
by: Wu, Zhuoyu, et al.
Published: (2026)

Unsupervised Tumor-Aware Distillation for Multi-Modal Brain Image Translation
by: Huang, Chuan, et al.
Published: (2024)

SEDNet: Shallow Encoder-Decoder Network for Brain Tumor Segmentation
by: Olisah, Chollette C., et al.
Published: (2024)

Task-oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor Segmentation
by: Zhang, Zhenxuan, et al.
Published: (2025)

Anatomical Consistency Distillation and Inconsistency Synthesis for Brain Tumor Segmentation with Missing Modalities
by: Zhang, Zheyu, et al.
Published: (2024)

Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learning
by: Behzadpour, Majid, et al.
Published: (2025)

Graph-Based Multi-Modal Light-weight Network for Adaptive Brain Tumor Segmentation
by: Huo, Guohao, et al.
Published: (2025)

Learning Lens Blur Fields
by: Lin, Esther Y. H., et al.
Published: (2023)

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding
by: Huynh, Tuan-Luc, et al.
Published: (2025)

Deep Ensemble approach for Enhancing Brain Tumor Segmentation in Resource-Limited Settings
by: Fadugba, Jeremiah, et al.
Published: (2025)

GANet-Seg: Adversarial Learning for Brain Tumor Segmentation with Hybrid Generative Models
by: Cui, Qifei, et al.
Published: (2025)

On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks
by: Maani, Fadillah, et al.
Published: (2024)

How We Won BraTS-SSA 2025: Brain Tumor Segmentation in the Sub-Saharan African Population Using Segmentation-Aware Data Augmentation and Model Ensembling
by: Ankomah, Claudia Takyi, et al.
Published: (2025)

Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation
by: Jiang, Zhifan, et al.
Published: (2024)

Generative Adversarial Network on Motion-Blur Image Restoration
by: Li, Zhengdong
Published: (2024)

Selective Complementary Feature Fusion and Modal Feature Compression Interaction for Brain Tumor Segmentation
by: Chen, Dong, et al.
Published: (2025)

Segmentation of Pediatric Brain Tumors using a Radiologically informed, Deep Learning Cascade
by: Mulvany, Timothy, et al.
Published: (2024)

Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation
by: Shi, Hairong, et al.
Published: (2024)

Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation
by: Li, Haoyue, et al.
Published: (2025)

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion
by: Yan, Zhiqiang, et al.
Published: (2024)

Few-Shot Distribution-Aligned Flow Matching for Data Synthesis in Medical Image Segmentation
by: Yang, Jie, et al.
Published: (2026)

Optimizing Brain Tumor Segmentation with MedNeXt: BraTS 2024 SSA and Pediatrics
by: Hashmi, Sarim, et al.
Published: (2024)

Generative Adversarial Networks for Weakly Supervised Generation and Evaluation of Brain Tumor Segmentations on MR Images
by: Yoo, Jay J., et al.
Published: (2022)

ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation
by: Yavari, Sara, et al.
Published: (2025)

PanTS: The Pancreatic Tumor Segmentation Dataset
by: Li, Wenxuan, et al.
Published: (2025)

BELE: Blur Equivalent Linearized Estimator
by: Giannitrapani, Paolo, et al.
Published: (2025)

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
by: Kazerooni, Anahita Fathi, et al.
Published: (2024)

Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning
by: Jung, Sunyoung, et al.
Published: (2024)

Mind the Gap: Promoting Missing Modality Brain Tumor Segmentation with Alignment
by: Liu, Tianyi, et al.
Published: (2024)