Cover Image

Federative ischemic stroke segmentation as alternative to overcome domain-shift multi-institution challenges

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rangel, Edgar, Martinez, Fabio
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

APIS: A paired CT-MRI dataset for ischemic stroke segmentation challenge
by: Gómez, Santiago, et al.
Published: (2023)

Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation
by: Gomariz, Alvaro, et al.
Published: (2024)

CPAISD: Core-penumbra acute ischemic stroke dataset
by: Umerenkov, D., et al.
Published: (2024)

Clinically-aligned ischemic stroke segmentation and ASPECTS scoring on NCCT imaging using a slice-gated loss on foundation representations
by: Azeem, Hiba, et al.
Published: (2026)

Estimating forest carbon stocks from high-resolution remote sensing imagery by reducing domain shift with style transfer
by: Yu, Zhenyu, et al.
Published: (2025)

Diffusion based multi-domain neuroimaging harmonization method with preservation of anatomical details
by: Lan, Haoyu, et al.
Published: (2024)

Cascade learning in multi-task encoder-decoder networks for concurrent bone segmentation and glenohumeral joint assessment in shoulder CT scans
by: Marsilio, Luca, et al.
Published: (2024)

In-context learning for medical image segmentation
by: Takaya, Eichi, et al.
Published: (2024)

Federated brain tumor segmentation: an extensive benchmark
by: Manthe, Matthis, et al.
Published: (2024)

Region of interest detection for efficient aortic segmentation
by: Giordano, Loris, et al.
Published: (2026)

Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge
by: Luo, Gongning, et al.
Published: (2023)

Deep vessel segmentation with joint multi-prior encoding
by: Sadikine, Amine, et al.
Published: (2024)

Mind the Gap: Scanner-induced domain shifts pose challenges for representation learning in histopathology
by: Wilm, Frauke, et al.
Published: (2022)

KM-UNet KAN Mamba UNet for medical image segmentation
by: Zhang, Yibo
Published: (2025)

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV
by: Ye, Hongbo, et al.
Published: (2025)

Enhancing the automatic segmentation and analysis of 3D liver vasculature models
by: Machta, Yassine, et al.
Published: (2024)

An investigation into the causes of race bias in AI-based cine CMR segmentation
by: Lee, Tiarna, et al.
Published: (2024)

Influence based explainability of brain tumors segmentation in multimodal Magnetic Resonance Imaging
by: Torda, Tommaso, et al.
Published: (2024)

Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imaging
by: Ramos, Daniela L., et al.
Published: (2024)

A dataset of primary nasopharyngeal carcinoma MRI with multi-modalities segmentation
by: Li, Yin, et al.
Published: (2024)

Deep learning approaches to surgical video segmentation and object detection: A Scoping Review
by: Kamtam, Devanish N., et al.
Published: (2025)

Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions
by: Islam, Mohammad Mohaiminul, et al.
Published: (2024)

Weighted Mean Frequencies: a handcraft Fourier feature for 4D Flow MRI segmentation
by: Perrin, Simon, et al.
Published: (2025)

Meta-learners for few-shot weakly-supervised optic disc and cup segmentation on fundus images
by: Zumarsyah, Pandega Abyan, et al.
Published: (2025)

Deep learning-based segmentation of T1 and T2 cardiac MRI maps for automated disease detection
by: Popescu, Andreea Bianca, et al.
Published: (2025)

Generalisation of automatic tumour segmentation in histopathological whole-slide images across multiple cancer types
by: Skrede, Ole-Johan, et al.
Published: (2025)

Robust semi-automatic vessel tracing in the human retinal image by an instance segmentation neural network
by: Chen, Siyi, et al.
Published: (2024)

Expanding the Medical Decathlon dataset: segmentation of colon and colorectal cancer from computed tomography images
by: Chernenkiy, I. M., et al.
Published: (2024)

A multi-task neural network for atypical mitosis recognition under domain shift
by: Percannella, Gennaro, et al.
Published: (2025)

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge
by: Nan, Yang, et al.
Published: (2023)

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification
by: Pooch, Eduardo H. P., et al.
Published: (2019)

Scale-specific auxiliary multi-task contrastive learning for deep liver vessel segmentation
by: Sadikine, Amine, et al.
Published: (2024)

Enhanced segmentation of femoral bone metastasis in CT scans of patients using synthetic data generation with 3D diffusion models
by: Saillard, Emile, et al.
Published: (2024)

Dual-domain Multi-path Self-supervised Diffusion Model for Accelerated MRI Reconstruction
by: Zhang, Yuxuan, et al.
Published: (2025)

Anatomy-constrained modelling of image-derived input functions in dynamic PET using multi-organ segmentation
by: Langer, Valentin, et al.
Published: (2025)

CL-CaGAN: Capsule differential adversarial continuous learning for cross-domain hyperspectral anomaly detection
by: Wang, Jianing, et al.
Published: (2025)

FACMIC: Federated Adaptative CLIP Model for Medical Image Classification
by: Wu, Yihang, et al.
Published: (2024)

Federated Breast Cancer Detection Enhanced by Synthetic Ultrasound Image Augmentation
by: Pan, Hongyi, et al.
Published: (2025)

From Pretraining to Privacy: Federated Ultrasound Foundation Model with Self-Supervised Learning
by: Jiang, Yuncheng, et al.
Published: (2024)

FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging
by: Alhamoud, Kumail, et al.
Published: (2024)