| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/tbe/HaemmerichS11 |
| P356 | DOI | 10.1109/TBME.2010.2085081 |
| P932 | PMC publication ID | 3108076 |
| P698 | PubMed publication ID | 20934940 |
| P50 | author | Dieter Haemmerich | Q51566527 |
| P2093 | author name string | David J Schutt | |
| P2860 | cites work | Influence of electrical and thermal properties on RF ablation of breast cancer: is the tumour preferentially heated? | Q24814449 |
| Osteoid Osteoma: Percutaneous Treatment with Radiofrequency Energy | Q30052817 | ||
| MRI-guided thermal ablation therapy: model and parameter estimates to predict cell death from MR thermometry images | Q33282154 | ||
| Adrenal neoplasms: CT-guided radiofrequency ablation--preliminary results | Q33359800 | ||
| Radiofrequency ablation beyond the liver | Q35043934 | ||
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| Theoretical modeling for radiofrequency ablation: state-of-the-art and challenges for the future. | Q36451569 | ||
| Hepatic radiofrequency ablation at low frequencies preferentially heats tumour tissue | Q36692567 | ||
| Radiofrequency ablation of adrenal tumors and adrenocortical carcinoma metastases | Q36743940 | ||
| Dielectric properties of tissues and biological materials: a critical review | Q38618441 | ||
| Investigation of the thermal and tissue injury behaviour in microwave thermal therapy using a porcine kidney model. | Q40482520 | ||
| Electrical conductivity measurement of excised human metastatic liver tumours before and after thermal ablation. | Q42140630 | ||
| Dielectric properties of human glioma and surrounding tissue | Q43415134 | ||
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| Renal cell carcinoma: clinical experience and technical success with radio-frequency ablation of 42 tumors. | Q53660066 | ||
| Dependence of apparent resistance of four-electrode probes on insertion depth. | Q54064755 | ||
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| Changes in dielectric properties at 460 kHz of kidney and fat during heating: importance for radio-frequency thermal therapy | Q57134363 | ||
| Dielectric properties of VX-2 carcinoma versus normal liver tissue | Q57139105 | ||
| Dielectric properties of mouse MCA1 fibrosarcoma at different stages of development | Q70134635 | ||
| Creation of radiofrequency lesions in a porcine model: correlation with sonography, CT, and histopathology | Q73107708 | ||
| Issues in modeling thermal alterations in tissues | Q73865306 | ||
| Changes in electrical resistivity of swine liver after occlusion and postmortem | Q77944099 | ||
| In vitro measurements of temperature-dependent specific heat of liver tissue | Q80344514 | ||
| Computer modeling of the effect of perfusion on heating patterns in radiofrequency tumor ablation | Q80492907 | ||
| Tumor ablation at low frequencies for preferential tumor heating: initial ex-vivo tissue studies | Q83223948 | ||
| P433 | issue | 2 | |
| P1104 | number of pages | 7 | |
| P304 | page(s) | 404-410 | |
| P577 | publication date | 2010-10-07 | |
| P1433 | published in | IEEE Transactions on Biomedical Engineering | Q15758806 |
| P1476 | title | RF ablation at low frequencies for targeted tumor heating: in vitro and computational modeling results | |
| P478 | volume | 58 |
| Q51096049 | A new approach to feedback control of radiofrequency ablation systems for large coagulation zones. |
| Q36844302 | Development of a radiofrequency ablation platform in a clinically relevant murine model of hepatocellular cancer. |
| Q59114619 | Fiber-Optic Temperature and Pressure Sensors Applied to Radiofrequency Thermal Ablation in Liver Phantom: Methodology and Experimental Measurements |
| Q30446665 | Multiple applicator hepatic ablation with interstitial ultrasound devices: theoretical and experimental investigation |
| Q47363185 | Numerical analysis of the relationship between the area of target tissue necrosis and the size of target tissue in liver tumours with pulsed radiofrequency ablation |
| Q38077559 | Radiofrequency ablation technique in the treatment of liver tumours: review and future issues |
| Q47423660 | Study of the relationship between the target tissue necrosis volume and the target tissue size in liver tumours using two-compartment finite element RFA modelling |
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