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Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Association of Atrial Tissue Fibrosis Identified by Delayed Enhancement MRI and Atrial Fibrillation Catheter Ablation
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Whole‐heart cine MRI using real‐time respiratory self‐gating
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Automatic Whole Heart Segmentation in Static Magnetic Resonance Image Volumes
inferredcites →https://doi.org/10.1007/978-3-642-33418-4_1openalex-snapshot
Automatic Multi-model-Based Segmentation of the Left Atrium in Cardiac MRI Scans
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Multi-atlas Propagation Whole Heart Segmentation from MRI and CTA Using a Local Normalised Correlation Coefficient Criterion
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Left Atrial Segmentation Challenge: A Unified Benchmarking Framework
inferredcites →https://doi.org/10.1007/978-3-642-54268-8_2openalex-snapshot
Automatic Segmentation of the Left Atrium on CT Images
inferredcites →https://doi.org/10.1007/978-3-642-54268-8_3openalex-snapshot
Multi-atlas-Based Segmentation of the Left Atrium and Pulmonary Veins
inferredcites →https://doi.org/10.1007/978-3-642-54268-8_4openalex-snapshot
Model-Based Segmentation of the Left Atrium in CT and MRI Scans
inferredcites →https://doi.org/10.1007/978-3-642-54268-8_5openalex-snapshot
Toward an Automatic Left Atrium Localization Based on Shape Descriptors and Prior Knowledge
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Decision Forests for Segmentation of the Left Atrium from 3D MRI
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In-silico modeling of atrial repolarization in normal and atrial fibrillation remodeled state
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Generalizing the Hough transform to detect arbitrary shapes
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Automated analysis of atrial late gadolinium enhancement imaging that correlates with endocardial voltage and clinical outcomes: A 2-center study
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Optimizing boundary detection via Simulated Search with applications to multi-modal heart segmentation
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STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation
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User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability
inferredcites →https://doi.org/10.1056/nejm199809033391003openalex-snapshot
Spontaneous Initiation of Atrial Fibrillation by Ectopic Beats Originating in the Pulmonary Veins
inferredcites →https://doi.org/10.1093/europace/eus027openalex-snapshot
2012 HRS/EHRA/ECAS Expert Consensus Statement on Catheter and Surgical Ablation of Atrial Fibrillation: Recommendations for Patient Selection, Procedural Techniques, Patient Management and Follow-up, Definitions, Endpoints, and Research Trial Design
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A multilevel banded graph cuts method for fast image segmentation
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Automatic Segmentation of the Left Atrium From MR Images via Variational Region Growing With a Moments-Based Shape Prior
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Robust and Objective Decomposition and Mapping of Bifurcating Vessels
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Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features
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A Framework for Geometric Analysis of Vascular Structures: Application to Cerebral Aneurysms
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Automatic Segmentation of Rotational X-Ray Images for Anatomic Intra-Procedural Surface Generation in Atrial Fibrillation Ablation Procedures
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A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI
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Multi-Part Modeling and Segmentation of Left Atrium in C-Arm CT for Image-Guided Ablation of Atrial Fibrillation
inferredcites →https://doi.org/10.1117/12.771023openalex-snapshot
Left atrium segmentation for atrial fibrillation ablation
inferredcites →https://doi.org/10.1145/1201775.882296openalex-snapshot
Anisotropic polygonal remeshing
inferredcites →https://doi.org/10.1145/777792.777839openalex-snapshot
Restricted delaunay triangulations and normal cycle
inferredcites →https://doi.org/10.1145/777837.777839openalex-snapshot
Restricted delaunay triangulations and normal cycle
inferredcites →https://doi.org/10.1145/882262.882296openalex-snapshot
Anisotropic polygonal remeshing
inferredcites →https://doi.org/10.1161/circep.111.962720openalex-snapshot
Left Atrial Anatomy Revisited
inferredcites →https://doi.org/10.1259/bjr/67593727openalex-snapshot
An objective approach to digital removal of saccular aneurysms: technique and applications
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A General Segmentation Quality Estimation Method
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Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation
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Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation
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Segmentation of the Left Atrium from 3D Gadolinium-Enhanced MR Images with Convolutional Neural Networks
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Multi-task Learning for Left Atrial Segmentation on GE-MRI
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Left Atrial Segmentation Combining Multi-atlas Whole Heart Labeling and Shape-Based Atlas Selection
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A Semantic-Wise Convolutional Neural Network Approach for 3-D Left Atrium Segmentation from Late Gadolinium Enhanced Magnetic Resonance Imaging
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Convolutional Neural Networks for Segmentation of the Left Atrium from Gadolinium-Enhancement MRI Images
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Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation
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Standard Quasi-Conformal Flattening of the Right and Left Atria
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Two-Stage 2D CNN for Automatic Atrial Segmentation from LGE-MRIs
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Optimisation of Left Atrial Feature Tracking Using Retrospective Gated Computed Tomography Images
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Automatic Semi-supervised Left Atrial Segmentation Using Deep-Supervision 3DResUnet with Pseudo Labeling Approach for LAScarQS 2022 Challenge
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Left atrial evaluation by cardiovascular magnetic resonance: sensitive and unique biomarkers
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FK-means: automatic atrial fibrosis segmentation using fractal-guided K-means clustering with Voronoi-clipping feature extraction of anatomical structures
inferred← citeshttps://doi.org/10.1109/access.2020.2966985openalex-snapshot
Simultaneous Multi-Structure Segmentation of the Heart and Peripheral Tissues in Contrast Enhanced Cardiac Computed Tomography Angiography
inferred← citeshttps://doi.org/10.1109/access.2020.2998735openalex-snapshot
Data Efficient Segmentation of Various 3D Medical Images Using Guided Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1109/andescon.2016.7836246openalex-snapshot
Left ventricle myocardium segmentation in multi-slice computerized tomography
inferred← citeshttps://doi.org/10.1109/bibm.2018.8621570openalex-snapshot
Fully Automated Left Atrial Segmentation from MR Image Sequences Using Deep Convolutional Neural Network and Unscented Kalman Filter
inferred← citeshttps://doi.org/10.1109/bibm55620.2022.9995371openalex-snapshot
DTSC-Net: Semi-supervised 3D Biomedical Image Segmentation through Dual-Teacher Simplified Consistency
inferred← citeshttps://doi.org/10.1109/bigdata47090.2019.9006175openalex-snapshot
Auto-CNNp: a component-based framework for automating CNN parallelism
inferred← citeshttps://doi.org/10.1109/csci49370.2019.00179openalex-snapshot
Automating CNN Parallelism with Components
inferred← citeshttps://doi.org/10.1109/embc44109.2020.9175749openalex-snapshot
A Semi-Automatic Method To Segment The Left Atrium in MR Volumes With Varying Slice Numbers
inferred← citeshttps://doi.org/10.1109/ibcast61650.2024.10877006openalex-snapshot
Delineation of the Atrial Chamber from the Cardiac Pool
inferred← citeshttps://doi.org/10.1109/icdsaai65575.2025.11011896openalex-snapshot
FADA: Fourier-Augmented Dual Attention Architecture for Enhanced Contextual Awareness in Medical Image Segmentation
inferred← citeshttps://doi.org/10.1109/icpcsn58827.2023.00120openalex-snapshot
An Efficient Application of Hybrid Optimization with Deep Learning Approach in the Prediction of Cardiovascular Disease
inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9534418openalex-snapshot
An Improved Dense V-Network for Fast and Precise Segmentation of Left Atrium
inferred← citeshttps://doi.org/10.1109/isbi.2017.7950649openalex-snapshot
A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images
inferred← citeshttps://doi.org/10.1109/isbi60581.2025.10980758openalex-snapshot
DASAM: Medical Domain Adaptation of Segment Anything Model Without Further Pre-Training
inferred← citeshttps://doi.org/10.1109/jbhi.2018.2852635openalex-snapshot
RACE-Net: A Recurrent Neural Network for Biomedical Image Segmentation
inferred← citeshttps://doi.org/10.1109/jbhi.2021.3077469openalex-snapshot
JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets
inferred← citeshttps://doi.org/10.1109/rbme.2018.2885714openalex-snapshot
Deep Learning in Cardiology
inferred← citeshttps://doi.org/10.1109/rbme.2020.2988295openalex-snapshot
Harnessing Machine Intelligence in Automatic Echocardiogram Analysis: Current Status, Limitations, and Future Directions
inferred← citeshttps://doi.org/10.1109/tetci.2024.3375075openalex-snapshot
Global Convolutional Self-Action Module for Fast Brain Tumor Image Segmentation
inferred← citeshttps://doi.org/10.1109/tip.2024.3513156openalex-snapshot
Learning Lossless Compression for High Bit-Depth Volumetric Medical Image
inferred← citeshttps://doi.org/10.1109/tip.2025.3592549openalex-snapshot
Multi-Source Domain Generalization for Learned Lossless Volumetric Biomedical Image Compression
inferred← citeshttps://doi.org/10.1109/tmi.2016.2593900openalex-snapshot
Simultaneous Analysis of 2D Echo Views for Left Atrial Segmentation and Disease Detection
inferred← citeshttps://doi.org/10.1109/tmi.2017.2671839openalex-snapshot
Novel MRI Technique Enables Non-Invasive Measurement of Atrial Wall Thickness
inferred← citeshttps://doi.org/10.1109/tmi.2018.2805821openalex-snapshot
Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images
inferred← citeshttps://doi.org/10.1109/tmi.2018.2866845openalex-snapshot
Fully Automatic Left Atrium Segmentation From Late Gadolinium Enhanced Magnetic Resonance Imaging Using a Dual Fully Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/tmi.2021.3117495openalex-snapshot
LA-Net: A Multi-Task Deep Network for the Segmentation of the Left Atrium
inferred← citeshttps://doi.org/10.1109/tmi.2022.3212780openalex-snapshot
aiWave: Volumetric Image Compression With 3-D Trained Affine Wavelet-Like Transform
inferred← citeshttps://doi.org/10.1109/tmi.2022.3219284openalex-snapshot
Learning Whole Heart Mesh Generation From Patient Images for Computational Simulations
inferred← citeshttps://doi.org/10.1109/tmi.2025.3590694openalex-snapshot
A Benchmark Framework for the Right Atrium Cavity Segmentation From LGE-MRIs
inferred← citeshttps://doi.org/10.1109/tpami.2026.3705213openalex-snapshot
RAC-Net: Interpretable Medical Small Target Segmentation Network With X-Ray Radiation Attenuation Characterization
inferred← citeshttps://doi.org/10.1109/tvcg.2020.2966702openalex-snapshot
Fast Quasi-Conformal Regional Flattening of the Left Atrium
inferred← citeshttps://doi.org/10.1115/1.4064527openalex-snapshot
LinFlo-Net: A Two-Stage Deep Learning Method to Generate Simulation Ready Meshes of the Heart
inferred← citeshttps://doi.org/10.1117/12.2512777openalex-snapshot
Semi-automatic aortic valve tract segmentation in 3D cardiac magnetic resonance images using shape-based B-spline explicit active surfaces
inferred← citeshttps://doi.org/10.1117/12.3048192openalex-snapshot
Assessing the performance of the DINOv2 self-supervised learning vision transformer model for the segmentation of the left atrium from MRI images
inferred← citeshttps://doi.org/10.1134/s105466181902010xopenalex-snapshot
A Substructure Segmentation Method of Left Heart Regions from Cardiac CT Images Using Local Mesh Descriptors, Context and Spatial Location Information
inferred← citeshttps://doi.org/10.1145/3487027.3487036openalex-snapshot
4D Surface Mesh Reconstruction from Segmented Cardiac Images using Subdivision Surfaces
inferred← citeshttps://doi.org/10.1145/3615862openalex-snapshot
A Systematic Collection of Medical Image Datasets for Deep Learning
inferred← citeshttps://doi.org/10.1148/radiol.2019182629openalex-snapshot
Left Atrial Fibrosis Assessed with Cardiac MRI in Patients with Paroxysmal and Those with Persistent Atrial Fibrillation
inferred← citeshttps://doi.org/10.1155/2017/8381094openalex-snapshot
A Combined Random Forests and Active Contour Model Approach for Fully Automatic Segmentation of the Left Atrium in Volumetric MRI
inferred← citeshttps://doi.org/10.1161/circimaging.120.011512openalex-snapshot
Fully Automatic Atrial Fibrosis Assessment Using a Multilabel Convolutional Neural Network
inferred← citeshttps://doi.org/10.1177/20480040261455938openalex-snapshot
Virtual population-based analysis of anatomical and electrophysiological risk markers for atrial fibrillation
inferred← citeshttps://doi.org/10.1177/20480040261455944openalex-snapshot
MeshGrow: Integrated framework for simulation-ready cardiac and vascular mesh construction from medical imaging
inferred← citeshttps://doi.org/10.11834/jig.211019openalex-snapshot
Semi-supervised dual-task cross-consistency constraint network for 3D cardiac MRI segmentation
inferred← citeshttps://doi.org/10.1186/s12880-021-00630-3openalex-snapshot
Automated left atrial time-resolved segmentation in MRI long-axis cine images using active contours
inferred← citeshttps://doi.org/10.1186/s12938-016-0153-6openalex-snapshot
A robust statistics driven volume-scalable active contour for segmenting anatomical structures in volumetric medical images with complex conditions
inferred← citeshttps://doi.org/10.13164/trendybmi.2023.17openalex-snapshot
Možnosti přístupu k obrazovým datům v rámci projektů ÚBMI ve spolupráci s klinickými pracovišti
inferred← citeshttps://doi.org/10.14500/aro.11971openalex-snapshot
Deep Learning for Cardiovascular Disease Detection
inferred← citeshttps://doi.org/10.21203/rs.3.rs-10102575/v1openalex-snapshot
Representation Paradigms in AI-based 3D Radiological Image Reconstruction: A Literature Review
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1840375/v1openalex-snapshot
Novel Domain Knowledge Encoding Enables Machine Learning of Rapid, Expert-level Segmentation of Cardiac Computed Tomography
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4786465/v1openalex-snapshot
How good nnU-Net for Segmenting Cardiac MRI: A Comprehensive Evaluation
inferred← citeshttps://doi.org/10.21203/rs.3.rs-7880467/v1openalex-snapshot
Left Atrial Segmentation with nnU-Net Using MRI
inferred← citeshttps://doi.org/10.2139/ssrn.5049130openalex-snapshot
Automatic Segmentation and Extraction of Atrial Structural Biomarkers from Late Gadolinium-Enhanced Magnetic Resonance Imaging Using Convolutional Neural Networks
inferred← citeshttps://doi.org/10.22489/cinc.2017.047-306openalex-snapshot
A Platform for Quantifying Atrial Structural Remodelling
inferred← citeshttps://doi.org/10.22489/cinc.2018.160openalex-snapshot
Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation
inferred← citeshttps://doi.org/10.22489/cinc.2018.169openalex-snapshot
Reconstruction of Patient-Specific Left Atrial Geometry From CMR Imaging
inferred← citeshttps://doi.org/10.22489/cinc.2019.240openalex-snapshot
A Framework of Left Atrium Segmentation on CT Images with Combined Detection Network and Level Set Model
inferred← citeshttps://doi.org/10.23919/cinc49843.2019.9005853openalex-snapshot
A Framework for Left Atrium Segmentation on CT Images with Combined Detection Network and Level Set Model
inferred← citeshttps://doi.org/10.29304/jqcsm.2023.15.31291openalex-snapshot
Cardiac Magnetic Resonance Imaging Focus Generative Adversarial Network Segmentation
inferred← citeshttps://doi.org/10.3310/eme08180openalex-snapshot
Thoracoscopic surgical ablation versus catheter ablation as first-line treatment for long-standing persistent atrial fibrillation: the CASA-AF RCT
inferred← citeshttps://doi.org/10.3389/fbioe.2025.1697542openalex-snapshot
Automated three-dimensional left atrial analysis on computed tomography angiography: reproducibility and workflow efficiency of eight clinically relevant metrics using a deep learning pipeline
inferred← citeshttps://doi.org/10.3389/fcvm.2020.00086openalex-snapshot
Mini Review: Deep Learning for Atrial Segmentation From Late Gadolinium-Enhanced MRIs
inferred← citeshttps://doi.org/10.3389/fcvm.2023.1189293openalex-snapshot
Segmenting computed tomograms for cardiac ablation using machine learning leveraged by domain knowledge encoding
inferred← citeshttps://doi.org/10.3389/fcvm.2024.1427841openalex-snapshot
The impact of atrial voltage and conduction velocity phenotypes on atrial fibrillation recurrence
inferred← citeshttps://doi.org/10.3389/fnagi.2022.826622openalex-snapshot
A Two-Stage Model for Predicting Mild Cognitive Impairment to Alzheimer’s Disease Conversion
inferred← citeshttps://doi.org/10.3389/fphys.2021.653013openalex-snapshot
Electrocardiographic Imaging for Atrial Fibrillation: A Perspective From Computer Models and Animal Experiments to Clinical Value
inferred← citeshttps://doi.org/10.3389/fphys.2023.1209659openalex-snapshot
S-Net: a multiple cross aggregation convolutional architecture for automatic segmentation of small/thin structures for cardiovascular applications
inferred← citeshttps://doi.org/10.3389/fradi.2023.1144004openalex-snapshot
Deep learning-based left ventricular segmentation demonstrates improved performance on respiratory motion-resolved whole-heart reconstructions
inferred← citeshttps://doi.org/10.3390/app15042222openalex-snapshot
Uncertainty-Aware Adaptive Multiscale U-Net for Low-Contrast Cardiac Image Segmentation
inferred← citeshttps://doi.org/10.3390/computers13050124openalex-snapshot
Enhancing Brain Segmentation in MRI through Integration of Hidden Markov Random Field Model and Whale Optimization Algorithm
inferred← citeshttps://doi.org/10.3390/diagnostics14141538openalex-snapshot
Novel Domain Knowledge-Encoding Algorithm Enables Label-Efficient Deep Learning for Cardiac CT Segmentation to Guide Atrial Fibrillation Treatment in a Pilot Dataset
inferred← citeshttps://doi.org/10.3390/e23010064openalex-snapshot
Bayesian Estimation of Geometric Morphometric Landmarks for Simultaneous Localization of Multiple Anatomies in Cardiac CT Images
inferred← citeshttps://doi.org/10.3390/e23070898openalex-snapshot
Supervised Domain Adaptation for Automated Semantic Segmentation of the Atrial Cavity
inferred← citeshttps://doi.org/10.3390/jimaging7090179openalex-snapshot
A Survey of Brain Tumor Segmentation and Classification Algorithms
inferred← citeshttps://doi.org/10.3390/s23020690openalex-snapshot
Cardiac Magnetic Resonance Image Segmentation Method Based on Multi-Scale Feature Fusion and Sequence Relationship Learning
inferred← citeshttps://doi.org/10.3410/f.734622143.793574288openalex-snapshot
Faculty Opinions recommendation of Why rankings of biomedical image analysis competitions should be interpreted with care.
inferred← citeshttps://doi.org/10.3889/oamjms.2021.7806openalex-snapshot
Detection of Cardiac Tissues using K-means Analysis Methods in Nuclear Medicine Images
inferred← citeshttps://doi.org/10.47844/turkishstudies.45551openalex-snapshot
MRI Kardiyak MR Görüntülerinde Sol Kulakçık Bölütlenmesi İçin Derin Öğrenme Tabanlı Hibrit Model
inferred← citeshttps://doi.org/10.48550/arxiv.1810.09123openalex-snapshot
Atrial scars segmentation via potential learning in the graph-cuts framework
inferred← citeshttps://doi.org/10.48550/arxiv.1902.09063openalex-snapshot
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
inferred← citeshttps://doi.org/10.48550/arxiv.1904.00625openalex-snapshot
Med3D: Transfer Learning for 3D Medical Image Analysis
inferred← citeshttps://doi.org/10.48550/arxiv.2004.12314openalex-snapshot
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging
inferred← citeshttps://doi.org/10.48550/arxiv.2105.00234openalex-snapshot
JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets
inferred← citeshttps://doi.org/10.64898/2026.04.22.26351448openalex-snapshot
DIVAID: Consistent division of atrial geometries from multimodal imaging according to the EHRA/EACVI 15-segment bi-atrial model
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