Výsledky vyhledávání - "Nitin Burman"

Akademický článek

Large-Scale Simulation of Realistic Cardiac Ultrasound Data With Clinical Appearance: Methodology and Open-Access Database

Autor: Nitin Burman, Claudia Alessandra Manetti, Sophie V. Heymans, Marcus Ingram, Joost Lumens, Jan D'Hooge

Publikováno v: IEEE Access, Vol 12, Pp 117040-117055 (2024)

Cardiac ultrasound imaging is widely used in the clinical setting. Deep learning algorithms have shown increased potential in automating routine clinical tasks for improved diagnosis and prognosis. However, the lack of large and diverse training data

Externí odkaz: https://doaj.org/article/80894a79205148528107dbc116973413

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Enhanced motion estimation by training a deep learning optical flow algorithm on a hybrid dataset

Autor: Andrea Pulido, Nitin Burman, Claudia Manetti, Sandro Queiros, Jan D'hooge

Publikováno v: 2022 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS)

Cardiovascular diseases (CVDs) are the primary cause of death worldwide. Cardiac ultrasound (US) is widely used to assess CVDs, allowing to evaluate regional myocardial function through the quantification of regional motion and deformation. Speckle t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f784da578d4d0d1bfbd581bbd6f01a3
https://doi.org/10.1109/ius54386.2022.9958716

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A pipeline to enable large-scale generation of diverse 2D cardiac synthetic ultrasound recordings corresponding to healthy and heart failure virtual patients

Autor: Nitin Burman, Claudia Manetti, Paulo Tostes, Joost Lumens, Jan D'hooge

Publikováno v: The Journal of the Acoustical Society of America. 152:A279-A279

Simulated ultrasound (US) data are widely used in echocardiography to develop and validate rapidly growing convolutional neural networks (CNNs) based learning algorithms for image processing and analysis. In this context, a large and diverse database

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c40e73a55f6392b6f8872e3b559c8ec5
https://doi.org/10.1121/10.0016267

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Data Structure Assisted Accelerated Reconstruction Strategy for Handheld Photoacoustic Imaging

Autor: Samir Kumar Biswas, Nitin Burman

Publikováno v: LED-Based Photoacoustic Imaging ISBN: 9789811539831

In photoacoustic computed tomography (PACT), advanced model based iterative image reconstruction (MoBIIR) offers several advantages over analytical methods such as back-projection, time reversal, Fourier transform, delay and sum algorithms. However,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::241e2569d6c46aafc6c2f335e868ac9d
https://doi.org/10.1007/978-981-15-3984-8_7

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