Automatic segmentation of the right ventricle from cardiac MRI using a learning‐based approach
Cited by (135)
Items 101–135 of 135
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- Right Ventricle Segmentation of Cine MRI Using Residual U-net Convolutinal NetworksZexiong Liu, Yuhong Feng, Xuan Yang · 2019 · International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)
- Computational analysis of cardiac structure and function in congenital heart disease: Translating discoveries to clinical strategiesNickolas Forsch, Sachin Govil, James C. Perry, Sanjeet R. Hegde, Alistair A. Young, Jeffrey H. Omens, Andrew D. McCulloch · 2020 · Journal of Computational Science
- 3D Right Ventricle Reconstruction from 2D U-Net Segmentation of Sparse Short-Axis and 4-Chamber Cardiac Cine MRI ViewsLennart Tautz, Lars Walczak, Chiara Manini, Anja Hennemuth, Markus Hüllebrand · 2022 · Lecture notes in computer science
- A Tour of Unsupervised Deep Learning for Medical Image AnalysisK Raza · 2021 · Current Medical Imaging Formerly Current Medical Imaging Reviews
- Cardiac MRI Semantic Segmentation for Ventricles and Myocardium Using Deep LearningRacheal Mukisa, Arvind K. Bansal · 2024 · Lecture notes in networks and systems
- Clinical-Guided Strategy Towards a Spatio-Temporal Cardiac MRI Right Ventricular Short-Axis (ST-CMRI-RVSA) Labeled DatasetAsma Ammari, Ramzi Mahmoudi, Badii Hmida, Mezri Maâtouk, Rachida Saouli, Mohamed Hédi Bedoui · 2022 · SN Computer Science
- A review on right ventricle cardiac MRI segmentationNiharika Das, Sujoy Das · 2022 · Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization
- Deep learning for robust segmentation and explainable analysis of 3d and dynamic cardiac imagesQiao Zheng · 2019 · theses.fr (ABES)
- Deep learning advancements for cardiovascular diseases (CVDs) diagnosis: Imaging modalities, challenges, and future perspectivesInayatul Haq, Haomin Liang, Ke Zeng, Tao Wang, Izhar Uddin, Jielong Lin, Yan Kang, Bingding Huang · 2026 · Biomedical Signal Processing and Control
- Systematic Analysis of CMR Segmentation Using Deep LearningYOGITA PARIKH, Hasmukh P Koringa · 2022 · INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING
- Right Ventricle MRI Image Segmentation of HeartShubham Kumar Singh, Sajal Kaushik, Rahul Vats, Arihant Jain, Narina Thakur · 2019 · IEEE International Conference for Convergence in Technology (I2CT)
- Reference Ranges for Left Ventricular Curvedness and Curvedness-Based Functional Indices Using Cardiovascular Magnetic Resonance in Healthy Asian SubjectsXiaodan Zhao, Soo-Kng Teo, Liang Zhong, Shuang Leng, Junmei Zhang, Ris Low, John Carson Allen, Angela Su-Mei Koh, Yi Su, Ru‐San Tan · 2020 · Scientific Reports
- A Network of Simultaneous Segmentation and Registration for Right Ventricle MRIAdan Lin, Zhenzhen Li, Xuan Yang · 2020 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
- Review of Ex Vivo Cardiac Electrical Mapping and Intelligent Labeling of Atrial Fibrillation SubstratesYi Chang, Ming Dong, Bin Wang, Ming Ren, Lihong Fan · 2023 · Chinese Journal of Electrical Engineering
- A Squeeze Convolutional Network For MRI Right Ventricle SegmentationZexiong Liu, Xuan Yang · 2019 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
- 3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh GenerationQiao Zheng, Hervé Delingette, Nicolás Duchateau, Nicholas Ayache · 2018 · arXiv (Cornell University)
- Breakthrough in Management of Cardiovascular Diseases by Artificial Intelligence in Healthcare SettingsLakshmi Narasimha Gunturu, Girirajasekhar Dornadula, Raghavendra Naveen Nimbagal · 2023 · BENTHAM SCIENCE PUBLISHERS eBooks
- Right Ventricle Volumetric Measurement Techniques for Cardiac MR ImagesAnjali Abhijit Yadav, S. R. Ganorkar · 2023 · Smart innovation, systems and technologies
- From Automated ECG Interpretation to Multimodal Cardiovascular Intelligence: The Evolution of Artificial Intelligence in Cardiovascular MedicineLavinia Rech · 2026 · Medical Sciences
- Image Processing Analytics: Enhancements and SegmentationLubomir M. Hadjiiski, Ravi K. Samala, Heang‐Ping Chan · 2021 · Elsevier eBooks
- Cardiac cavity segmentation review in the past decade: Methods and future perspectivesFeiyan Li, Weisheng Li, Yucheng Shu, Yidong Peng, Bin Xiao · 2025 · Neurocomputing
- U-R-VEDA: Integrating UNET, Residual Links, Edge and Dual Attention, and Vision Transformer for Accurate Semantic Segmentation of CMRsRacheal Mukisa, Arvind K. Bansal · 2025 · Lecture notes in networks and systems
- MLCardiovascularPrediction: Machine Learning-Based Cardiovascular Disease PredictionDiaa Salama AbdElminaam, Magda Mohamed Madbouly, Magdy Abd-Elghany Zeid, Ibrahim Abd Elatif Gomaa, Laith Abualigah · 2023 · International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)
- Clinical Applications of Artificial Intelligence in Early and Accurate Detection of Low‐Concentration CVD BiomarkersMeena Sadashiv Laad, Sajna M.S., Kishor Kumar Sadasivuni, Sadiya Waseem · 2022 · Wiley eBooks
- Physiology of the Normal Right VentricleJason Leigh Sanders, Bradley A. Maron · 2019 · Elsevier eBooks
- 3D right ventricular endocardium segmentation in cardiac magnetic resonance images by using a new inter-modality statistical shape modelling methodConcetta Piazzese, Chiara Carminati, Rolf Krause, Angelo Auricchio, Lynn Weinert, Paola Gripari, Gloria Tamborini, Gianluca Pontone, Daniele Andreini, Roberto Miguel Lang et al. · 2020 · Biomedical Signal Processing and Control
- The impact of Deep learning algorithms with MRI Systematic reviewAhmad Alaiad, O Nawari Mustafa · 2020 · International Conference on Information and Communication Systems (ICICS)
- Validation of Automated PET Segmentation Methods Based on Connected Components for MyocardiumReetta Siekkinen, Eero Lehtonen, Jarmo Teuho, Mojtaba Jafari Tadi, Juho Koskinen, Riku Klén · 2020 · IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
- Interrogating Atherosclerotic Plaque Biology Through Responses to Cardiovascular Risk Management and ImagingElin Good · 2022 · Linköping University medical dissertations
- Improving Right Ventricle Contouring in Cardiac MR Images Using Integrated Approach for Small DatasetsAnjali Abhijit Yadav, S. R. Ganorkar · 2023 · Algorithms for intelligent systems
- Attention Ensemble based Whole Heart and Great Vessel Segmentation for Surgical Planning of Total Anomalous Pulmonary Venous ConnectionsErlei Zhang, Weihao Chen, Jinglei Li, Xiaowei Xu · 2025 · International Joint Conference on Neural Networks (IJCNN)
- Brain Tumor Detection and Identification with Advanced Deep Learning TechniquesPatturi Ankitha, S. Charan, N. Manikanta, A Anitha, B. Varshith, G. Sekhar Reddy · 2025 · International Conference on Communication and Smart Devices (ICCoSD)
- Biomarker estimation from medical images : segmentation-based and segmentation-free approachesJing Zhang · 2022 · theses.fr (ABES)