Open Access Helper

OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review
Lei Li, Veronika A. Zimmer, Julia A. Schnabel, et al.
Medical Image Analysis (2022) Vol. 77, pp. 102360-102360
Open Access | Times Cited: 43

Showing 26-50 of 43 citing articles:

Deep U-Net Architecture with Curriculum Learning for Left Atrial Segmentation
Lei Jiang, Yan Li, Yifan Wang, et al.
Lecture notes in computer science (2023), pp. 115-123
Closed Access | Times Cited: 2
Cross-Domain Segmentation of Left Atrium Based on Multi-scale Decision Level Fusion
Feiyan Li, Weisheng Li
Lecture notes in computer science (2023), pp. 124-132
Closed Access | Times Cited: 2
Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation
Can Tu, Ziyan Huang, Zhongying Deng, et al.
Lecture notes in computer science (2023), pp. 24-35
Closed Access | Times Cited: 2
Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-Focused nnU-Net
Yuchen Zhang, Yanda Meng, Yalin Zheng
Lecture notes in computer science (2023), pp. 49-59
Closed Access | Times Cited: 2
Multi-modality cardiac image analysis with deep learning
Lei Li, Fuping Wu, Sihang Wang, et al.
Elsevier eBooks (2024), pp. 299-335
Open Access
A Benchmarking Study of Deep Learning Approaches for Bi-Atrial Segmentation on Late Gadolinium-Enhanced MRIs
Yongyao Tan, Fan Feng, Jichao Zhao
Lecture notes in computer science (2024), pp. 250-258
Closed Access
RAS Dataset: A 3D Cardiac LGE-MRI Dataset for Segmentation of Right Atrial Cavity
Jinwen Zhu, Jieyun Bai, Zihao Zhou, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access
Edge and Dense Attention U-Net for Atrial Scar Segmentation in LGE-MRI
Gaoyuan Li, Mingxin Liu, Jun Lu, et al.
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 5, pp. 055015-055015
Closed Access
Evaluation of Cardiac Function Recovery in Patients with Paroxysmal Atrial Fibrillation after Catheter Radiofrequency Ablation Using Two-Dimensional Speckle Tracking Imaging and Real-Time Three-Dimensional Echocardiography
Rui Han, Yingchen Mei, H Li, et al.
Cardiology (2024), pp. 1-12
Open Access
Semi-supervised segmentation of cardiac chambers from LGE-CMR using feature consistency awareness
Hairui Wang, Helin Huang, Jing Wu, et al.
BMC Cardiovascular Disorders (2024) Vol. 24, Iss. 1
Open Access
Automatic Segmentation and Extraction of Atrial Structural Biomarkers from Late Gadolinium-Enhanced Magnetic Resonance Imaging Using Convolutional Neural Networks
Fan Feng, James J. Kennelly, Zhaohan Xiong, et al.
(2024)
Closed Access
Quantification of atrial cardiomyopathy disease severity by electroanatomic voltage mapping and cardiac magnetic resonance imaging
Iain Sim, José Alonso Solís-Lemus, Christopher O’Shea, et al.
Journal of Cardiovascular Electrophysiology (2024)
Open Access
LA-HRNet: High-Resolution Network for Automatic Left Atrial Segmentation in Multi-center LEG MRI
Tongtong Xie, Zhengeng Yang, Hongshan Yu
Lecture notes in computer science (2023), pp. 83-92
Closed Access | Times Cited: 1
Automatic Semi-supervised Left Atrial Segmentation Using Deep-Supervision 3DResUnet with Pseudo Labeling Approach for LAScarQS 2022 Challenge
Moona Mazher, Abdul Qayyum, Mohamed Abdel‐Nasser, et al.
Lecture notes in computer science (2023), pp. 153-161
Closed Access | Times Cited: 1
Edge-Enhanced Feature Guided Joint Segmentation of Left Atrial and Scars in LGE MRI Images
Siping Zhou, Kai‐Ni Wang, Guangquan Zhou
Lecture notes in computer science (2023), pp. 93-105
Closed Access | Times Cited: 1
Decoupling Predictions in Distributed Learning for Multi-center Left Atrial MRI Segmentation
Zheyao Gao, Lei Li, Fuping Wu, et al.
Lecture notes in computer science (2022), pp. 517-527
Open Access | Times Cited: 1
TESSLA: Two-Stage Ensemble Scar Segmentation for the Left Atrium
Shaheim Ogbomo-Harmitt, Jakub Grzelak, Ahmed Qureshi, et al.
Lecture notes in computer science (2023), pp. 106-114
Closed Access
Deep learning architecture for 3D image super-resolution of late gadolinium enhanced cardiac MRI
Roshan Reddy Upendra, Richard Simon, Cristian A. Linte
Journal of Medical Imaging (2023) Vol. 10, Iss. 05
Open Access
A Comparison of Methodologies for Pulmonary Veins Segmentation in High Definition Voltage Maps of Patients with Atrial Fibrillation
Leire Moriones, Iker González, Blas Echebarria, et al.
Computing in cardiology (2023)
Open Access
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