[HTML][HTML] Machine learning empowering personalized medicine: A comprehensive review of medical image analysis methods

I Galić, M Habijan, H Leventić, K Romić - Electronics, 2023 - mdpi.com
Artificial intelligence (AI) advancements, especially deep learning, have significantly
improved medical image processing and analysis in various tasks such as disease …

[HTML][HTML] Multi-modality cardiac image computing: A survey

L Li, W Ding, L Huang, X Zhuang, V Grau - Medical image analysis, 2023 - Elsevier
Multi-modality cardiac imaging plays a key role in the management of patients with
cardiovascular diseases. It allows a combination of complementary anatomical …

A deep-learning approach for direct whole-heart mesh reconstruction

F Kong, N Wilson, S Shadden - Medical image analysis, 2021 - Elsevier
Automated construction of surface geometries of cardiac structures from volumetric medical
images is important for a number of clinical applications. While deep-learning-based …

Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review

L Li, VA Zimmer, JA Schnabel, X Zhuang - Medical image analysis, 2022 - Elsevier
Late gadolinium enhancement magnetic resonance imaging (LGE MRI) is commonly used
to visualize and quantify left atrial (LA) scars. The position and extent of LA scars provide …

[HTML][HTML] Automatic segmentation with deep learning in radiotherapy

LJ Isaksson, P Summers, F Mastroleo, G Marvaso… - Cancers, 2023 - mdpi.com
Simple Summary Automatic segmentation of organs and other regions of interest is a
promising approach for reducing the workload of doctors in radiotherapeutic planning, but it …

[HTML][HTML] Taking it personally: 3D bioprinting a patient-specific cardiac patch for the treatment of heart failure

N Matthews, B Pandolfo, D Moses, C Gentile - Bioengineering, 2022 - mdpi.com
Despite a massive global preventative effort, heart failure remains the major cause of death
globally. The number of patients requiring a heart transplant, the eventual last treatment …