| Year |
Citation |
Score |
| 2021 |
Chatzipapas KP, Plachouris D, Papadimitroulas P, Mountris KA, Bert J, Visvikis D, Mihailidis D, Kagadis GC. Standardization and Validation of Brachytherapy Seeds' Modelling Using GATE and GGEMS Monte Carlo Toolkits. Cancers. 13. PMID 34771479 DOI: 10.3390/cancers13215315 |
0.642 |
|
| 2021 |
Plachouris D, Mountris KA, Papadimitroulas P, Spyridonidis T, Katsanos K, Apostolopoulos D, Papathanasiou N, Hazle JD, Visvikis D, Kagadis GC. Clinical Evaluation of a Three-Dimensional Internal Dosimetry Technique for Liver Radioembolization with Y Microspheres Using Dose Voxel Kernels. Cancer Biotherapy & Radiopharmaceuticals. PMID 33656372 DOI: 10.1089/cbr.2020.4554 |
0.655 |
|
| 2019 |
Papadimitroulas P, Balomenos A, Kopsinis Y, Loudos G, Alexakos C, Karnabatidis D, Kagadis GC, Kostou T, Chatzipapas K, Visvikis D, Mountris KA, Jaouen V, Katsanos K, Diamantopoulos A, Apostolopoulos D. A Review on Personalized Pediatric Dosimetry Applications Using Advanced Computational Tools Ieee Transactions On Radiation and Plasma Medical Sciences. 3: 607-620. DOI: 10.1109/TRPMS.2018.2876562 |
0.604 |
|
| 2018 |
Kostou T, Papadimitroulas P, Kagadis G. [P049] Moving forward to personalized pediatric dosimetry on computed tomography applications Physica Medica. 52: 112-113. DOI: 10.1016/J.Ejmp.2018.06.372 |
0.427 |
|
| 2016 |
Chatzipapas C, Papadimitroulas P, Loudos G, Papanikolaou N, Kagadis G. SU‐F‐T‐50: Evaluation of Monte Carlo Simulations Performance for Pediatric Brachytherapy Dosimetry Medical Physics. 43: 3472-3473. DOI: 10.1118/1.4956185 |
0.437 |
|
| 2016 |
Papadopoulos C, Loudos G, Efthimiadou E, Kordas G, Kagadis G. Numerical simulation and experimental validation of magnetic nanoparticle hyperthermia Physica Medica. 32: 259. DOI: 10.1016/J.Ejmp.2016.07.557 |
0.319 |
|
| 2015 |
Papadimitroulas P, Kostou T, Loudos G, Kagadis G. SU-E-I-80: Quantification of Respiratory and Cardiac Motion Effect in SPECT Acquisitions Using Anthropomorphic Models: A Monte Carlo Simulation Study Medical Physics. 42: 3260-3260. DOI: 10.1118/1.4924077 |
0.341 |
|
| 2014 |
Moore K, Kagadis G, Xing L, McNutt T. WE-B-BRD-01: Innovation in Radiation Therapy Planning II: Cloud Computing in RT. Medical Physics. 41: 491-492. PMID 28037703 DOI: 10.1118/1.4889387 |
0.345 |
|
| 2014 |
Papadimitroulas P, Loudos G, Kagadis G. MO‐G‐17A‐04: Internal Dosimetric Calculations for Pediatric Nuclear Imaging Applications, Using Monte Carlo Simulations and High‐Resolution Pediatric Computational Models Medical Physics. 41: 437-437. DOI: 10.1118/1.4889206 |
0.453 |
|
| 2014 |
Kostou T, Papadimitroulas P, Loudos G, Kagadis G. SU-E-CAMPUS-I-05: Internal Dosimetric Calculations for Several Imaging Radiopharmaceuticals in Preclinical Studies and Quantitative Assessment of the Mouse Size Impact On Them. Realistic Monte Carlo Simulations Based On the 4D-MOBY Model Medical Physics. 41: 385-386. DOI: 10.1118/1.4889018 |
0.372 |
|
| 2013 |
Kostou T, Papadimitroulas P, Loudos G, Kagadis G. SU-E-CAMPUS-I-04: Creation and Quantification Analysis of a Simulated SPECT Database Using the 4D-MOBY Phantom for Imaging Applications Medical Physics. 40: 377-377. DOI: 10.1118/1.4815170 |
0.36 |
|
| 2013 |
Tsantis S, Katsakiori P, Karnabatidis D, Skouroliakou A, Mihailidis D, Kagadis G. SU-E-U-07: An Edge-Preserving Markov-Random-Fields Model for Speckle Removal in Ultrasound Images Medical Physics. 40: 374-375. DOI: 10.1118/1.4815160 |
0.303 |
|
| 2013 |
Pappas E, Hammoud R, Kagadis G, Sharif A, Bakas A, Papadimitroulas P, Anagnostopoulos G, Kantemiris I, Loudos G, Hammadi NA. SU‐E‐T‐546: On the Evaluation of GATE Monte Carlo Toolkit Performance for the Dosimetry of Ir‐192 and I‐125 Brachytherapy Sources Medical Physics. 40: 331-331. DOI: 10.1118/1.4814976 |
0.378 |
|
| 2013 |
Mihailidis D, Tomara P, Kagadis G. SU‐E‐I‐42: Size‐Specific Dose Estimates (SSDE) Modified for Lung Inhomogeneities: A Practical Approach Medical Physics. 40: 134-134. DOI: 10.1118/1.4814152 |
0.343 |
|
| 2012 |
Papadimitroulas P, Loudos G, Nikiforidis GC, Kagadis GC. A dose point kernel database using GATE Monte Carlo simulation toolkit for nuclear medicine applications: comparison with other Monte Carlo codes. Medical Physics. 39: 5238-47. PMID 22894448 DOI: 10.1118/1.4737096 |
0.326 |
|
| 2011 |
Mihailidis D, plants M, Fischer T, Kagadis G, Harmon M, Whaley L, Raja P, Plants B, Farinash L. TH‐E‐220‐07: Management of Head & Neck Patients with High‐Z Prosthesis via MV‐ CBCT‐Based Treatment Planning Medical Physics. 38: 3880-3880. DOI: 10.1118/1.3613614 |
0.331 |
|
| 2011 |
Mihailidis D, Mallah J, plants M, Kagadis G. WE‐C‐BRB‐07: Influence of MLC Width on Intensity Modulated Plans Medical Physics. 38: 3805-3805. DOI: 10.1118/1.3613326 |
0.343 |
|
| 2011 |
Kagadis G, Tsantis S, Bourantas G, Katsanos K, Karnabatidis D, Mihailidis D, Nikiforidis G. SU‐E‐I‐01: Quantification of Vascular Networks with the Aid of OCT in Order to Evaluate Re‐Endothelialization after Peripheral Angioplasty Medical Physics. 38: 3395-3395. DOI: 10.1118/1.3611573 |
0.313 |
|
| 2010 |
Mihailidis D, Tomara P, Kagadis G, Stathakis S, Papanikolaou N. SU-GG-I-88: Physics Performance Comparisons between 256-Slice, 64-Slice and 16-Slice CT Scanners in the Clinic Medical Physics. 37: 3121-3121. DOI: 10.1118/1.3468121 |
0.374 |
|
| 2009 |
Mihailidis D, Farinash L, Raja P, Plants B, Tomara P, Kagadis G, Stathakis S, Papanikolaou N. SU‐FF‐T‐592: Is Smaller MLC Width Really Better for Stereotactic Body Radiotherapy (SBRT) Treatment Planning? Medical Physics. 36: 2660-2661. DOI: 10.1118/1.3182090 |
0.318 |
|
| 2006 |
Kagadis G, Spyridonos P, Mihailidis D, Daskalakis A, Katsanos K, Diamantopoulos A, Karnabatidis D, Siablis D, Cavouras D, Nikiforidis G. SU‐FF‐I‐92: A Computerized Automated Segmentation Methodology for the Recognition of Vessels From in Vivo Acquired DSA Images Medical Physics. 33: 2018-2018. DOI: 10.1118/1.2240772 |
0.322 |
|
| 2006 |
Kagadis G, Skouras E, Bourantas G, Katsanos K, Diamantopoulos A, Karnabatidis D, Paraskeva C, Mihailidis D, Liatsikos E, Siablis D, Nikiforidis G. SU‐FF‐I‐91: Computational Representation of In‐Vivo Acquired Stenotic Renal Artery Geometries Using Turbulence Modeling Medical Physics. 33: 2017-2018. DOI: 10.1118/1.2240771 |
0.311 |
|
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