Artificial intelligence in cardiac computed tomography
AA Aromiwura, T Settle, M Umer, J Joshi… - Progress in …, 2023 - Elsevier
Artificial Intelligence (AI) is a broad discipline of computer science and engineering. Modern
application of AI encompasses intelligent models and algorithms for automated data …
application of AI encompasses intelligent models and algorithms for automated data …
Artificial intelligence in cardiovascular CT: Current status and future implications
Artificial intelligence (AI) refers to the use of computational techniques to mimic human
thought processes and learning capacity. The past decade has seen a rapid proliferation of …
thought processes and learning capacity. The past decade has seen a rapid proliferation of …
Deep learning-based regression and classification for automatic landmark localization in medical images
In this study, we propose a fast and accurate method to automatically localize anatomical
landmarks in medical images. We employ a global-to-local localization approach using fully …
landmarks in medical images. We employ a global-to-local localization approach using fully …
[HTML][HTML] Position paper of the EACVI and EANM on artificial intelligence applications in multimodality cardiovascular imaging using SPECT/CT, PET/CT, and cardiac …
In daily clinical practice, clinicians integrate available data to ascertain the diagnostic and
prognostic probability of a disease or clinical outcome for their patients. For patients with …
prognostic probability of a disease or clinical outcome for their patients. For patients with …
[PDF][PDF] 医学影像人工智能在心脏瓣膜疾病介入诊疗中的应用
谢明星 - 临床心血管病杂志, 2022 - lcxxgen.whuhzzs.com
医学影像人工智能技术的研究与进展, 将极大促进现代心脏瓣膜病介入诊疗的进步. 超声心动图,
心脏磁共振, CT 与心血管造影等成像技术, 在心脏瓣膜病介入治疗术前患者精准筛选 …
心脏磁共振, CT 与心血管造影等成像技术, 在心脏瓣膜病介入治疗术前患者精准筛选 …
Partial policy-based reinforcement learning for anatomical landmark localization in 3d medical images
Utilizing the idea of long-term cumulative return, reinforcement learning (RL) has shown
remarkable performance in various fields. We follow the formulation of landmark localization …
remarkable performance in various fields. We follow the formulation of landmark localization …
[HTML][HTML] Artificial intelligence and transcatheter interventions for structural heart disease: a glance at the (near) future
JM Ribeiro, P Astudillo, O de Backer, R Budde… - Trends in cardiovascular …, 2022 - Elsevier
With innovations in therapeutic technologies and changes in population demographics,
transcatheter interventions for structural heart disease have become the preferred treatment …
transcatheter interventions for structural heart disease have become the preferred treatment …
[PDF][PDF] Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification
Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification
Page 1 BJR|Open © 2023 The Authors. Published by the British Institute of Radiology. This is …
Page 1 BJR|Open © 2023 The Authors. Published by the British Institute of Radiology. This is …
Automatic localization and discrete volume measurements of hippocampi from MRI data using a convolutional neural network
A Basher, BC Kim, KH Lee, HY Jung - IEEE Access, 2020 - ieeexplore.ieee.org
Automatic hippocampal volume measurement from brain magnetic resonance imaging
(MRI) is a crucial task and an important research area, especially in the study of …
(MRI) is a crucial task and an important research area, especially in the study of …
Automatic detection of the aortic annular plane and coronary ostia from multidetector computed tomography
P Astudillo, P Mortier, J Bosmans… - Journal of …, 2020 - Wiley Online Library
Anatomic landmark detection is crucial during preoperative planning of transcatheter aortic
valve implantation (TAVI) to select the proper device size and assess the risk of …
valve implantation (TAVI) to select the proper device size and assess the risk of …