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 …

Segmentation techniques of brain arteriovenous malformations for 3D visualization: A systematic review

E Colombo, T Fick, G Esposito, M Germans, L Regli… - La radiologia …, 2022 - Springer
Background Visualization, analysis and characterization of the angioarchitecture of a brain
arteriovenous malformation (bAVM) present crucial steps for understanding and …

Scalable robust graph and feature extraction for arbitrary vessel networks in large volumetric datasets

D Drees, A Scherzinger, R Hägerling, F Kiefer… - BMC …, 2021 - Springer
Background Recent advances in 3D imaging technologies provide novel insights to
researchers and reveal finer and more detail of examined specimen, especially in the …

Automatic detection and segmentation of thrombi in abdominal aortic aneurysms using a mask region-based convolutional neural network with optimized loss …

B Hwang, J Kim, S Lee, E Kim, J Kim, Y Jung, H Hwang - Sensors, 2022 - mdpi.com
The detection and segmentation of thrombi are essential for monitoring the disease
progression of abdominal aortic aneurysms (AAAs) and for patient care and management …

Design-informed generative modelling of skeletal structures using structural optimization

LS Sarma, C Mallikarachchi, S Herath - Computers & Structures, 2024 - Elsevier
Although various structural optimization techniques have a sound mathematical basis, the
structural robustness and practical constructability of optimal designs pose a great challenge …

Left atrial appendage segmentation from 3D CCTA images for occluder placement procedure

H Leventić, D Babin, L Velicki, D Devos, I Galić… - Computers in biology …, 2019 - Elsevier
Background Percutaneous left atrial appendage (LAA) closure (placement of an occluder to
close the appendage) is a novel procedure for stroke prevention in patients suffering from …

Enhancing Segmentation of Abdominal Aortic Aneurysms in CT Images

AS Javeed, KM Veeresh, VN Ganesh… - … Conference on Data …, 2023 - ieeexplore.ieee.org
This study concentrates on a potential strategy for improving Abdominal aortic aneurysms
(AAAs) segmentation in CT imaging. The study's dataset included 19 CT images of healthy …

Recent progress understanding pathophysiology and genesis of brain AVM—a narrative review

HJ Steiger - Neurosurgical Review, 2021 - Springer
Considerable progress has been made over the past years to better understand the genetic
nature and pathophysiology of brain AVM. For the actual review, a PubMed search was …

Abdominal aortic aneurysm segmentation from ct images using modified 3d u-net with deep supervision

M Habijan, I Galić, H Leventić… - 2020 International …, 2020 - ieeexplore.ieee.org
An abdominal aortic aneurysm (AAA) is a dangerous cardiovascular disease that can cause
serious health complications and death. Methods that can provide automatic and accurate …

[HTML][HTML] Concurrent imaging of vascularization and metabolism in a mouse model of paraganglioma under anti-angiogenic treatment

C Facchin, M Perez-Liva, A Garofalakis, T Viel… - Theranostics, 2020 - ncbi.nlm.nih.gov
Rationale: Deregulation of metabolism and induction of vascularization are major hallmarks
of cancer. Using a new multimodal preclinical imaging instrument, we explored a sequence …