SU‐B‐BRA‐05: Panel Member (Englisch)
- Neue Suche nach: Pavord, D.
- Neue Suche nach: Pavord, D.
In:
Medical Physics
;
43
, 6Part2
;
3313
;
2016
- Aufsatz (Zeitschrift) / Elektronische Ressource
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Titel:SU‐B‐BRA‐05: Panel Member
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Beteiligte:Pavord, D. ( Autor:in )
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Erschienen in:Medical Physics ; 43, 6Part2 ; 3313
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Verlag:
- Neue Suche nach: American Association of Physicists in Medicine
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Erscheinungsdatum:01.06.2016
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Format / Umfang:1 pages
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
Inhaltsverzeichnis – Band 43, Ausgabe 6Part2
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Continuing Education Information| 2016
- 3230
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Program at a Glance| 2016
- 3240
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Program of the Meeting/Calendar of Events| 2016
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SU‐A‐BRA‐03: Creative Stimulation: A Flexible Hands‐On Approach to Building a Deeper Understanding of Critical Concepts in Radiation PhysicsNaqvi, S. et al. | 2016
- 3312
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SU‐A‐BRC‐05: The Path of a FDA PhysicistOchs, R. et al. | 2016
- 3312
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SU‐A‐BRC‐06: The Path of an Academic PhysicistHowell, R. et al. | 2016
- 3312
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SU‐A‐BRA‐02: Making the Most of a One Hour Lecture with Alternative Teaching Methodologies: Implementing Project‐Based and Flipped LearningHowell, R. et al. | 2016
- 3312
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SU‐A‐BRC‐03: The Path of a Small Business OwnerChildress, N. et al. | 2016
- 3312
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SU‐A‐BRA‐01: IntroductionMontemayor, V. et al. | 2016
- 3312
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SU‐A‐BRC‐04: The Path of a Research and Development PhysicistRuchala, K. et al. | 2016
- 3312
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SU‐A‐BRC‐07: Q&ARoth, A. et al. | 2016
- 3312
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SU‐A‐BRC‐00: AAPM Medical Physics Student Meeting: The Many Paths of Medical PhysicsRoth, Alison et al. | 2016
- 3312
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SU‐A‐BRA‐05: Panel DiscussionMontemayor, V. et al. | 2016
- 3312
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SU‐A‐BRA‐04: Incorporating Active Learning Into Medical Physics EducationBurmeister, J. et al. | 2016
- 3312
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SU‐A‐BRA‐00: Education Council Symposium: Revitalizing Your Medical Physics Classroom: Some Examples and Thoughts from the TrenchesMontemayor, Victor et al. | 2016
- 3312
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SU‐A‐BRC‐01: Welcome and introduction to Student and Trainees DayRoth, A. et al. | 2016
- 3312
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SU‐A‐BRC‐02: The Path of a Chief of Medical PhysicsShepard, D. et al. | 2016
- 3313
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SU‐B‐BRA‐04: An Administrators Perspective on the Value of Medical PhysicsMcNary, D. et al. | 2016
- 3313
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SU‐B‐BRA‐08: Panel MemberHazle, J. et al. | 2016
- 3313
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SU‐B‐BRA‐01: IntroductionSherouse, G. et al. | 2016
- 3313
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SU‐B‐BRA‐02: The Medical Physics Value Proposition for Tomorrow and TodayWhite, G. et al. | 2016
- 3313
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SU‐B‐BRA‐05: Panel MemberPavord, D. et al. | 2016
- 3313
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SU‐B‐BRA‐07: Panel MemberHalvorsen, P. et al. | 2016
- 3313
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SU‐C‐204‐01: A Dosimetric Investigation Into the Effects of Yttrium‐90 Radioembolization On the GI Tract: In‐Vivo and Histological Analysis in An Animal ModelPasciak, A / Nodit, L / Bourgeois, A / Paxton, B / Arepally, A / Bradley, Y et al. | 2016
- 3313
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SU‐B‐BRA‐06: Panel MemberClements, J. et al. | 2016
- 3313
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SU‐B‐BRA‐00: The Medical Physicist Value Proposition for Tomorrow and TodaySherouse, G. et al. | 2016
- 3313
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SU‐C‐204‐02: Behavioral and Pathologic Differences in Mice Exposed to Proton Minibeam Arrays Versus Proton Broad BeamsEley, J / Wolfe, T / Vichaya, E / Quini, C / Chadha, A / Zhang, C / Davis, J / Sahoo, N / Dilmanian, F / Krishnan, S et al. | 2016
- 3313
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SU‐B‐BRA‐09: Panel MemberWillcut, V. et al. | 2016
- 3313
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SU‐B‐BRA‐03: A Physician Perspective on the Value of Medical PhysicsBurri, S. et al. | 2016
- 3314
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SU‐C‐204‐04: Irradiation of Human Cell Lines Using Various IonsLin, Y / Tessa, C / Rusek, A / McMahon, S / Kaminuma, T / Held, K et al. | 2016
- 3314
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SU‐C‐204‐03: DFT Calculations of the Stability of DOTA‐Based‐RadiopharmaceuticalsKhabibullin, A.R. / Karolak, A. / Budzevich, M.M. / Woods, L.M. / Martinez, M.V. / McLaughlin, M.L. / Morse, D.L. et al. | 2016
- 3314
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SU‐C‐204‐06: Monte Carlo Dose Calculation for Kilovoltage X‐Ray‐Psoralen Activated Cancer Therapy (X‐PACT): Preliminary ResultsMein, S / Gunasingha, R / Nolan, M / Oldham, M / Adamson, J et al. | 2016
- 3314
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SU‐C‐204‐05: Magnetic Resonance‐Induced Adaptive Response to Orthovoltage Radiation Therapy in FSa and SA‐NH Mouse Tumor Cell LinesMendel, K / Miller, R / Murley, J / Sadinski, M / Grdina, D et al. | 2016
- 3315
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SU‐C‐201‐01: Core/shell and Multishell Colloidal Quantum Dots Nanodosimeters Behaviour Under Repeated MV and KV IrradiationsDelage, M / Cloutier, E / Lecavalier, M / Lariviere, D / Allen, C / Beaulieu, L et al. | 2016
- 3315
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SU‐C‐201‐02: Dosimetric Verification of SBRT with FFF‐VMAT Using a 3‐D Radiochromic/Optical‐CT Dosimetry SystemNa, Y / Black, P / Adamovics, J / Wuu, C et al. | 2016
- 3315
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SU‐C‐204‐07: Radiation Therapy as a Potential Treatment for Obesity: Initial Data from a Preclinical InvestigationPasciak, A / Bradley, Y / Nodit, L / Bourgeois, A / Paxton, B / Arepally, A et al. | 2016
- 3316
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SU‐C‐201‐06: Small Field Correction Factors for the MicroDiamond Detector in the Gamma Knife‐Model C Derived Using Monte Carlo MethodsBarrett, J C / Knill, C et al. | 2016
- 3316
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SU‐C‐201‐05: Silicon Array Dosimeter in Situ with Electronic Portal Image Device for Simultaneous Transit Dose and Image Verification in RadiotherapyDeshpande, S / Alhujaili, S / Vial, P / Holloway, L / Petasecca, M / Rozenfeld, A / Metcalfe, P et al. | 2016
- 3316
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SU‐C‐201‐04: Noise and Temporal Resolution in a Near Real‐Time 3D DosimeterRilling, M / Goulet, M / Beaulieu, L / Thibault, S / Archambault, L et al. | 2016
- 3316
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SU‐C‐201‐03: Ionization Chamber Collection Efficiency in Pulsed Radiation Fields of High Pulse DoseGotz, M / Karsch, L / Pawelke, J et al. | 2016
- 3317
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SU‐C‐201‐07: Towards Clinical Cherenkov Emission Dosimetry: Stopping Power‐To‐Cherenkov Power Ratios and Beam Quality Specification of Clinical Electron BeamsZlateva, Y / Seuntjens, J / El Naqa, I et al. | 2016
- 3317
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SU‐C‐BRC‐02: Accelerating Linear Boltzmann Transport Equation by An Asymptotic‐Preserving SchemeChen, G / Chen, H / Hong, X / Tang, M / Gao, H et al. | 2016
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SU‐C‐BRC‐01: A Monte Carlo Study of Out‐Of‐Field Doses From Cobalt‐60 Teletherapy Units Intended for Historical Correlations of Dose to Normal TissuePetroccia, H / Olguin, E / Culberson, W / Bednarz, B / Mendenhall, N / Bolch, W et al. | 2016
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SU‐C‐BRC‐03: Development of a Novel Strategy for On‐Demand Monte Carlo and Deterministic Dose Calculation Treatment Planning and Optimization for External Beam Photon and Particle TherapyYang, Y M / Bush, K / Han, B / Xing, L et al. | 2016
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SU‐C‐BRC‐06: OpenCL‐Based Cross‐Platform Monte Carlo Simulation Package for Carbon Ion TherapyQin, N / Pinto, M / Tian, Z / Dedes, G / Pompos, A / Jiang, S / Parodi, K / Jia, X et al. | 2016
- 3318
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SU‐C‐BRC‐07: Parametrized GPU Accelerated Electron Monte Carlo Second CheckHaywood, J et al. | 2016
- 3318
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SU‐C‐BRC‐05: Monte Carlo Calculations to Establish a Simple Relation of Backscatter Dose Enhancement Around High‐Z Dental Alloy to Its Atomic NumberUtsunomiya, S / Kushima, N / Katsura, K / Tanabe, S / Hayakawa, T / Sakai, H / Yamada, T / Takahashi, H / Abe, E / Wada, S et al. | 2016
- 3318
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SU‐C‐BRC‐04: Efficient Dose Calculation Algorithm for FFF IMRT with a Simplified Bivariate Gaussian Source ModelLi, F / Park, J / Barraclough, B / Lu, B / Li, J / Liu, C / Yan, G et al. | 2016
- 3319
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SU‐C‐BRB‐02: Automatic Planning as a Potential Strategy for Dose Escalation for Pancreas SBRT?Wang, S / Zheng, D / Ma, R / Lin, C / Zhu, X / Lei, Y / Enke, C / Zhou, S et al. | 2016
- 3319
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SU‐C‐BRB‐03: Cross‐Institutional Validation of An Ultrafast Automatic Planning Platform for Breast IrradiationLi, T / Sheng, Y / Lockamy, V / Anne, P / Simone, N / Wu, QJ / Yu, Y et al. | 2016
- 3319
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SU‐C‐BRB‐01: Automated Dose Deformation for Re‐IrradiationLim, S / Kainz, K / Li, X et al. | 2016
- 3319
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SU‐C‐BRB‐04: Delineation Uncertainty Maps: Proof of Concept Study for Recurrent Gynaecological CancersBernstein, D / Kamerling, C / Nill, S / Taylor, A / Oelfke, U et al. | 2016
- 3320
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SU‐C‐BRB‐07: Threshold‐Driven Optimization for Reference‐Based Auto‐PlanningLong, T / Chen, M / Jiang, S / Lu, W et al. | 2016
- 3320
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SU‐C‐BRB‐06: Dosimetric Impact of Breast Contour Reconstruction Errors in GammaPod Stereotactic RadiotherapyNiu, Y / Becker, S / Yu, C / Mutaf, Y et al. | 2016
- 3320
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SU‐C‐BRB‐05: Determining the Adequacy of Auto‐Contouring Via Probabilistic Assessment of Ensuing Treatment Plan Metrics in Comparison with Manual ContoursNourzadeh, H / Watkins, W / Siebers, J / Ahmad, M et al. | 2016
- 3320
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SU‐C‐BRA‐01: Interactive Auto‐Segmentation for Bowel in Online Adaptive MRI‐Guided Radiation Therapy by Using a Multi‐Region Labeling AlgorithmLu, Y / Chen, I / Kashani, R / Wan, H / Maughan, N / Muccigrosso, D / Parikh, P et al. | 2016
- 3321
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SU‐C‐BRA‐02: A Lung Tumor Autocontouring Algorithm Based On Particle Filter for Dynamic Magnetic ResonanceBourque, A / Bedwani, S / Filion, E / Carrier, J et al. | 2016
- 3321
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SU‐C‐BRA‐03: An Automated and Quick Contour Errordetection for Auto Segmentation in Online Adaptive RadiotherapyZhang, J / Ates, O / Li, X et al. | 2016
- 3321
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SU‐C‐BRA‐05: Delineating High‐Dose Clinical Target Volumes for Head and Neck Tumors Using Machine Learning AlgorithmsCardenas, C / Wong, A / Mohamed, A / Yang, J / Court, L / Rao, A / Fuller, C / Aristophanous, M et al. | 2016
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SU‐C‐BRA‐04: Automated Segmentation of Head‐And‐Neck CT Images for Radiotherapy Treatment Planning Via Multi‐Atlas Machine Learning (MAML)Ren, X / Sharp, G / Gao, H et al. | 2016