A heuristic method for rapid and automatic radiofrequency ablation planning of liver tumors

R Li, C An, S Wang, G Wang, L Zhao, Y Yu… - International Journal of …, 2023 - Springer
Purpose Preprocedural planning is a key step in radiofrequency ablation (RFA) treatment for
liver tumors, which is a complex task with multiple constraints and relies heavily on the …

Machine learning model for preoperative assessment of ultrasound diathermy with implants

HC Hsu, SR Lin, HW Chen, CC Chou… - International Journal of …, 2023 - Elsevier
Ultrasound diathermy is a medical device commonly used in clinical practice to treat
contractures, especially for patients with metal implants. However, the effects of …

Transient hemodynamics prediction using an efficient octree-based deep learning model

N Maul, K Zinn, F Wagner, M Thies, M Rohleder… - … Processing in Medical …, 2023 - Springer
Patient-specific hemodynamics assessment could support diagnosis and treatment of
neurovascular diseases. Currently, conventional medical imaging modalities are not able to …

3DGPS: A 3D Differentiable-Gaussian-Based Planning Strategy for Liver Tumor Cryoablation

C Wang, X Huang, Y Kong, Q Li, Y Hao… - … Conference on Medical …, 2024 - Springer
Effective preoperative planning is crucial for successful cryoablation of liver tumors.
However, conventional planning methods rely heavily on clinicians' experience, which may …

An artificial intelligence-assisted framework for fast and automatic radiofrequency ablation planning of liver tumors in CT images

R Li, R Xin, S Wang, G Wang, L Zhao, H Jiang… - Chinese Journal of …, 2024 - Springer
Purpose To develop and validate an artificial intelligence (AI)-assisted framework for fast
and automatic radiofrequency ablation (RFA) planning of liver tumors from CT images …