Expertises
Nursing and Health Professions
- Irreversible Electroporation
- Electrode
- Experiment
- Liver Tumor
Computer Science
- Design
- Robot
Engineering
- Electric Field
- Optimization Strategy
Organisaties
Publicaties
2024
IRE made easy: introducing the robotic grid system for multiple parallel needle insertion in irreversible electroporation treatment (2024)International journal of computer assisted radiology and surgery, 19(8), 1517-1526. Wardhana, G., Fütterer, J. J. & Abayazid, M.https://doi.org/10.1007/s11548-024-03216-w
2023
Irreversible Electroporation: Maximizing Treatment Efficacy Through Optimization Strategies and Robotic Assistance (2023)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Wardhana, G.https://doi.org/10.3990/1.9789036556750
2022
Design and Characterization of a Multiple Needle Insertion MRI-guided Robot for Irreversible Electroporation (IRE) Treatment (2022)In 2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) (pp. 1-6). Article 9925469. IEEE. Wardhana, G., Mak, Y. X., Abayazid, M. & Fütterer, J. J.https://doi.org/10.1109/BioRob52689.2022.9925469Investigating the effect of electrode orientation on irreversible electroporation with experiment and simulation (2022)International journal of computer assisted radiology and surgery, 17(8), 1399-1407. Wardhana, G., Raman, N. M., Abayazid, M. & Fütterer, J. J.https://doi.org/10.1007/s11548-022-02618-y
2021
Development of a thermal model for irreversible electroporation: an approach to estimate and optimize the IRE protocols (2021)International journal of computer assisted radiology and surgery, 16(8), 1325-1334. Wardhana, G., Almeida, J. P., Abayazid, M. & Fütterer, J. J.https://doi.org/10.1007/s11548-021-02403-3Automatic trajectory planning for IRE treatment in liver tumours A numerical study (2021)[Contribution to conference › Abstract] 8th Dutch Bio-Medical Engineering Conference, BME 2021. Wardhana, G., Vera Tizatl, A. L., Abayazid, M. & Fütterer, J. J.Toward reliable automatic liver and tumor segmentation using convolutional neural network based on 2.5D models (2021)International journal of computer assisted radiology and surgery, 16(1), 41-51. Wardhana, G., Naghibi, H., Sirmacek, B. & Abayazid, M.https://doi.org/10.1007/s11548-020-02292-y
Onderzoeksprofielen
Adres
Universiteit Twente
Technohal (gebouwnr. 18), kamer 3184
Hallenweg 5
7522 NH Enschede
Universiteit Twente
Technohal 3184
Postbus 217
7500 AE Enschede
Organisaties
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