Copertina

Left Atrial Segmentation with nnU-Net Using MRI

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Hosseinabadi, Fatemeh, Sharifi, Seyedhassan
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Image and Video Processing Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Pediatric Appendicitis Detection from Ultrasound Images
di: Hosseinabadi, Fatemeh, et al.
Pubblicazione: (2025)

Training Beyond Convergence: Grokking nnU-Net for Glioma Segmentation in Sub-Saharan MRI
di: Barakat, Mohtady, et al.
Pubblicazione: (2026)

A Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net
di: Pham, William, et al.
Pubblicazione: (2024)

Automated surgical planning with nnU-Net: delineation of the anatomy in hepatobiliary phase MRI
di: Olthof, Karin A., et al.
Pubblicazione: (2025)

Two-Stage nnU-Net for Automatic Multi-class Bi-Atrial Segmentation from LGE-MRIs
di: On, Y., et al.
Pubblicazione: (2025)

Towards Reliable Pediatric Brain Tumor Segmentation: Task-Specific nnU-Net Enhancements
di: Li, Xiaolong, et al.
Pubblicazione: (2025)

Rel-UNet: Reliable Tumor Segmentation via Uncertainty Quantification in nnU-Net
di: Ziaee, Seyed Sina, et al.
Pubblicazione: (2025)

How good nnU-Net for Segmenting Cardiac MRI: A Comprehensive Evaluation
di: Gunawardhana, Malitha, et al.
Pubblicazione: (2024)

Lung tumor segmentation in MRI mice scans using 3D nnU-Net with minimum annotations
di: Kaniewski, Piotr, et al.
Pubblicazione: (2024)

Stress-testing cross-cancer generalizability of 3D nnU-Net for PET-CT tumor segmentation: multi-cohort evaluation with novel oesophageal and lung cancer datasets
di: Ghosh, Soumen, et al.
Pubblicazione: (2025)

Topology-Driven Fusion of nnU-Net and MedNeXt for Accurate Brain Tumor Segmentation on Sub-Saharan Africa Dataset
di: Bohara, Prabin, et al.
Pubblicazione: (2026)

Training and Comparison of nnU-Net and DeepMedic Methods for Autosegmentation of Pediatric Brain Tumors
di: Vossough, Arastoo, et al.
Pubblicazione: (2024)

MRI Breast tissue segmentation using nnU-Net for biomechanical modeling
di: Pooyan, Melika, et al.
Pubblicazione: (2024)

Dual channel CW nnU-Net for 3D PET-CT Lesion Segmentation in 2024 autoPET III Challenge
di: Wang, Ching-Wei, et al.
Pubblicazione: (2024)

Selective Phase-Aware Training of nnU-Net for Robust Breast Cancer Segmentation in Multi-Center DCE-MRI
di: Zayim, Beyza, et al.
Pubblicazione: (2025)

Multiscale Encoder and Omni-Dimensional Dynamic Convolution Enrichment in nnU-Net for Brain Tumor Segmentation
di: Mistry, Sahaj K., et al.
Pubblicazione: (2024)

Deep Dive into MRI: Exploring Deep Learning Applications in 0.55T and 7T MRI
di: Alves, Ana Carolina, et al.
Pubblicazione: (2024)

Fully Differentiable dMRI Streamline Propagation in PyTorch
di: Yoon, Jongyeon, et al.
Pubblicazione: (2025)

A Novel Framework using Intuitionistic Fuzzy Logic with U-Net and U-Net++ Architecture: A case Study of MRI Bain Image Segmentation
di: Verma, Hanuman, et al.
Pubblicazione: (2026)

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa
di: Chepchirchir, Rancy, et al.
Pubblicazione: (2025)

Language Models for Automated Classification of Brain MRI Reports and Growth Chart Generation
di: Daniali, Maryam, et al.
Pubblicazione: (2025)

A Comprehensive Framework for Uncertainty Quantification of Voxel-wise Supervised Models in IVIM MRI
di: Casali, Nicola, et al.
Pubblicazione: (2025)

Ultra-Strong Gradient Diffusion MRI with Self-Supervised Learning for Prostate Cancer Characterization
di: Patil, Tanishq, et al.
Pubblicazione: (2025)

NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping
di: Li, Yamin, et al.
Pubblicazione: (2024)

Multi-modal Cross-domain Self-supervised Pre-training for fMRI and EEG Fusion
di: Wei, Xinxu, et al.
Pubblicazione: (2024)

Exploiting Temporal State Space Sharing for Video Semantic Segmentation
di: Hesham, Syed Ariff Syed, et al.
Pubblicazione: (2025)

Automatic 8-tissue Segmentation for 6-month Infant Brains
di: Dong, Yilan, et al.
Pubblicazione: (2024)

CogGen: Cognitive-Load-Informed Fully Unsupervised Deep Generative Modeling for Compressively Sampled MRI Reconstruction
di: Zhu, Qingyong, et al.
Pubblicazione: (2026)

Deep Learning Approach for the Diagnosis of Pediatric Pneumonia Using Chest X-ray Imaging
di: Hosseinabadi, Fatemeh, et al.
Pubblicazione: (2025)

Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains
di: Trombetta, Robin, et al.
Pubblicazione: (2024)

U-Net in Medical Image Segmentation: A Review of Its Applications Across Modalities
di: Neha, Fnu, et al.
Pubblicazione: (2024)

Reliable Explainability of Deep Learning Spatial-Spectral Classifiers for Improved Semantic Segmentation in Autonomous Driving
di: Gutiérrez-Zaballa, Jon, et al.
Pubblicazione: (2025)

Research on Feature Extraction Data Processing System For MRI of Brain Diseases Based on Computer Deep Learning
di: Xiao, Lingxi, et al.
Pubblicazione: (2024)

Advanced U-Net Architectures with CNN Backbones for Automated Lung Cancer Detection and Segmentation in Chest CT Images
di: Golkarieh, Alireza, et al.
Pubblicazione: (2025)

Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data
di: Menges, Daniel, et al.
Pubblicazione: (2024)

Detecting Concept Drift in Neural Networks Using Chi-squared Goodness of Fit Testing
di: Ayers, Jacob Glenn, et al.
Pubblicazione: (2025)

An Explainable Deep Learning-Based Method For Schizophrenia Diagnosis Using Generative Data-Augmentation
di: Saadatinia, Mehrshad, et al.
Pubblicazione: (2023)

Generating Realistic X-ray Scattering Images Using Stable Diffusion and Human-in-the-loop Annotations
di: Zhao, Zhuowen, et al.
Pubblicazione: (2024)

K-SAM: A Prompting Method Using Pretrained U-Net to Improve Zero Shot Performance of SAM on Lung Segmentation in CXR Images
di: Deriche, Mohamed, et al.
Pubblicazione: (2024)

Assessing Foundational Medical 'Segment Anything' (Med-SAM1, Med-SAM2) Deep Learning Models for Left Atrial Segmentation in 3D LGE MRI
di: Mehrnia, Mehri, et al.
Pubblicazione: (2024)