Thermal ablation of biological tissues in disease treatment: A review of computational models and future directions

S Singh, R Melnik - Electromagnetic biology and medicine, 2020 - Taylor & Francis
Percutaneous thermal ablation has proven to be an effective modality for treating both
benign and malignant tumours in various tissues. Among these modalities, radiofrequency …

Recent advances in selective laser–material interaction for biomedical device applications

SH Um, SW Hwang, CP Grigoropoulos… - Applied Physics …, 2022 - pubs.aip.org
Lasers that exhibit monochromaticity, directionality, coherence, and focusability have been
used in health care and defense industries for over five decades. Recently, the application of …

Lasers that learn: The interface of laser machining and machine learning

B Mills, JA Grant‐Jacob - IET Optoelectronics, 2021 - Wiley Online Library
Laser machining is a highly flexible non‐contact fabrication method used extensively across
academia and industry. Whilst simulations based on fundamental understanding offer some …

Domain heterogeneity in radiofrequency therapies for pain relief: a computational study with coupled models

S Singh, R Melnik - Bioengineering, 2020 - mdpi.com
The objective of the current research work is to study the differences between the predicted
ablation volume in homogeneous and heterogeneous models of typical radiofrequency (RF) …

Predicting spatio-temporal radiofrequency ablation temperature using deep neural networks

HT Kumru, V Gordin, D Cortes - Medical Engineering & Physics, 2024 - Elsevier
Radiofrequency ablation (RFA) of the medial branch nerve is a widely used therapeutic
intervention for facet joint pain. However, denervation of the multifidus muscle is an …

Association of intraoperative end-tidal carbon dioxide level with ablation volume during magnetic resonance–guided laser interstitial thermal therapy for mesial …

BY Hwang, A Eremiev, A Palla, D Mampre… - Journal of …, 2021 - thejns.org
OBJECTIVE Maximal safe ablation of target structures during magnetic resonance–guided
laser interstitial thermal therapy (MRgLiTT) is critical to achieving good seizure outcome in …

Makine Öğrenmesi Algoritmaları ile Aritmilerin Sınıflandırılması

A Özdemir - Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen …, 2023 - dergipark.org.tr
Bu çalışmada elektrokardiyografi (EKG) kayıtlarından aritmi türlerini belirlemek amacıyla
modern makine öğrenme algoritmalarının kullanılanımı incelenmiştir. Amacımız, EKG …

Early and late fusion machine learning on multi-frequency electrical impedance data to improve radiofrequency ablation monitoring

E Besler, YC Wang, AV Sahakian - IEEE journal of biomedical …, 2019 - ieeexplore.ieee.org
Radiofrequency ablation (RFA) is a popular modality for tumor treatment. However,
inexpensive real-time monitoring of RFA within multiple tissue types is still an ongoing …

GNSS positioning accuracy improvement based on surface meteorological parameters using artificial neural networks

AB Mohammednour, AT Özdemir - International Journal of …, 2020 - Wiley Online Library
With the ongoing development of global navigation satellite system (GNSS) technologies,
user's dependence on these technologies has drastically risen. Ranging anywhere from …

Automatic detection of coagulation and carbonization in laser applications using machine learning techniques

S Yucelbas - Laser Physics, 2020 - iopscience.iop.org
Laser-induced thermal treatment (LITT) technique is considered to be the most effective
method for minimally invasive surgical procedures. However, the parameters of laser …