Cover Image

MedFL-Stress: A Systematic Robustness Evaluation of Federated Brain Tumor Segmentation under Cross-Hospital MRI Appearance Shift

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Naseer, Kiran, Butt, Naveed Anwer
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DRBD-Mamba for Robust and Efficient Brain Tumor Segmentation with Analytical Insights
by: Ali, Danish, et al.
Published: (2025)

FL-MedSegBench: A Comprehensive Benchmark for Federated Learning on Medical Image Segmentation
by: Zhu, Meilu, et al.
Published: (2026)

Confidence-Calibrating Regularization for Robust Brain MRI Segmentation Under Domain Shift
by: Khan, Behraj, et al.
Published: (2025)

SmaRT: Style-Modulated Robust Test-Time Adaptation for Cross-Domain Brain Tumor Segmentation in MRI
by: Wang, Yuanhan, et al.
Published: (2025)

D3Seg: Dependency-Aware Diffusion for Brain Tumor Segmentation with Missing Modalities
by: Ali, Danish, et al.
Published: (2026)

Hybrid Multihead Attentive Unet-3D for Brain Tumor Segmentation
by: Butt, Muhammad Ansab, et al.
Published: (2024)

Hyper-Connections for Adaptive Multi-Modal MRI Brain Tumor Segmentation
by: Kumar, Lokendra, et al.
Published: (2026)

MedMAP: Promoting Incomplete Multi-modal Brain Tumor Segmentation with Alignment
by: Liu, Tianyi, et al.
Published: (2024)

Multi-modal Generation via Cross-Modal In-Context Learning
by: Kumar, Amandeep, et al.
Published: (2024)

The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI
by: de Verdier, Maria Correia, et al.
Published: (2024)

Robust Brain Tumor Segmentation with Incomplete MRI Modalities Using Hölder Divergence and Mutual Information-Enhanced Knowledge Transfer
by: Cheng, Runze, et al.
Published: (2025)

PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation
by: Zhang, Yuan, et al.
Published: (2025)

ADP-FL-MedSeg: Adaptive Differential Privacy for Federated Medical Segmentation Across Diverse Modalities
by: Saha, Puja, et al.
Published: (2026)

Modality-Aware and Shift Mixer for Multi-modal Brain Tumor Segmentation
by: Huang, Zhongzhen, et al.
Published: (2024)

MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation
by: Gani, Hanan, et al.
Published: (2024)

M-Net: MRI Brain Tumor Sequential Segmentation Network via Mesh-Cast
by: Lu, Jiacheng, et al.
Published: (2025)

PGR-Net: Prior-Guided ROI Reasoning Network for Brain Tumor MRI Segmentation
by: Lu, Jiacheng, et al.
Published: (2026)

Federated Modality-specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation
by: Dai, Qian, et al.
Published: (2024)

Brain Tumor Detection in MRI Based on Federated Learning with YOLOv11
by: Monisha, Sheikh Moonwara Anjum, et al.
Published: (2025)

CCSD: Cross-Modal Compositional Self-Distillation for Robust Brain Tumor Segmentation with Missing Modalities
by: Xie, Dongqing, et al.
Published: (2025)

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation
by: Niu, Quanzhu, et al.
Published: (2025)

AgriCLIP: Adapting CLIP for Agriculture and Livestock via Domain-Specialized Cross-Model Alignment
by: Nawaz, Umair, et al.
Published: (2024)

Towards Label-Free Brain Tumor Segmentation: Unsupervised Learning with Multimodal MRI
by: Comas-Quiles, Gerard, et al.
Published: (2025)

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

Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation
by: Khan, Muhammad Irfan, et al.
Published: (2024)

Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation
by: Khan, Muhammad Irfan, et al.
Published: (2024)

Federated Modality-specific Encoders and Partially Personalized Fusion Decoder for Multimodal Brain Tumor Segmentation
by: Liu, Hong, et al.
Published: (2026)

A Unified Attention U-Net Framework for Cross-Modality Tumor Segmentation in MRI and CT
by: Rai, Nishan, et al.
Published: (2026)

Auto3DSeg for Brain Tumor Segmentation from 3D MRI in BraTS 2023 Challenge
by: Myronenko, Andriy, et al.
Published: (2025)

Brain Tumor Segmentation in MRI Images with 3D U-Net and Contextual Transformer
by: Nguyen, Thien-Qua T., et al.
Published: (2024)

On-the-Fly Data Augmentation for Brain Tumor Segmentation
by: Jain, Ishika, et al.
Published: (2025)

ReSAM: Refine, Requery, and Reinforce: Self-Prompting Point-Supervised Segmentation for Remote Sensing Images
by: Subhani, M. Naseer
Published: (2025)

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

Enhancing Neuro-Oncology Through Self-Assessing Deep Learning Models for Brain Tumor Unified Model for MRI Segmentation
by: Zhou, Andrew
Published: (2025)

PlateSegFL: A Privacy-Preserving License Plate Detection Using Federated Segmentation Learning
by: Anuvab, Md. Shahriar Rahman, et al.
Published: (2024)

Federated Fine-tuning of SAM-Med3D for MRI-based Dementia Classification
by: Mouheb, Kaouther, et al.
Published: (2025)

Assessment of Using Synthetic Data in Brain Tumor Segmentation
by: Jahagirdar, Aditi, et al.
Published: (2025)

Reproducible Evaluation of Data Augmentation and Loss Functions for Brain Tumor Segmentation
by: B, Saumya
Published: (2025)

Brain Tumor Segmentation with Special Emphasis on the Non-Enhancing Brain Tumor Compartment
by: Schaffer, T., et al.
Published: (2026)

Exploiting Test-Time Augmentation in Federated Learning for Brain Tumor MRI Classification
by: Melo, Thamara Leandra de Deus, et al.
Published: (2026)