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AAPM 2019

14-17 July, 2019
Henry B. Gonzalez Convention Center San Antonio
TX, USA


AAPM supports the Medical Physics community with a focus on advancing patient care. Be there and meet with us at RaySearch to see the latest developments in oncology software.

MACHINE LEARNING, AUTOMATIONS AND OTHER NEWS ON DISPLAY

At this year’s AAPM, RaySearch is putting a strong focus on machine learning and automation in radiation oncology. Some exciting news in these areas will be on display like deep-learning segmentation* and machine learning based automated planning*. We will also present the latest news in our advanced treatment planning system RayStation and the next-generation OIS RayCare*. Come by booth #600 to hear more. Book your demo today!

*Subject of regulatory clearance in some markets

BOOK A DEMO

 

PRESENTATIONS

Tuesday, July 16 | 7:30 am–9:30 am
Room: Stars at Night Ballroom
FIRST REPORT ON METHODOLOGY DEVELOPMENT AND VALIDATION OF LET COMPUTED IN A MONTE CARLO DOSE ENGINE OF A COMMERCIAL TREATMENT PLANNING SYSTEM
D Wagenaar1*, T Tran2, A Meijers1, D Bolst2, B James2,
M Povoli3, A Kok3, E Traneus4, M van Goethem1,
J Langendijk1, A Rosenfeld2, S Both1,
(1) University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
(2) University of Wollongong, Wollongong, Australia
(3) SINTEF, Oslo, Norway
(4) RAYSEARCH LABORATORIES AB, Stockholm, Sweden
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PARTNERS IN SOLUTIONS

Wednesday, July 17 | 10:15 am–12:00 pm
Room: Speaker ready room 224
SCRIPTING, SO MUCH MORE THAN CODE
Cameron Ditty, M.S. Senior Physics Specialist,
RaySearch Americas Inc. subsidiary of RaySearch Labs (AB)
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E-POSTER PRESENTATIONS

Sunday, July 14 | 12:30 pm–17:00 pm
Room: ePoster Forums
THE APPLICATION OF FALLBACK PLANNING IN IMPT FOR
HEAD AND NECK CANCERS
Haijiao Shang, RaySearch Labs; Yuenan Wang, CAMS Shenzhen Cancer Hospital 

Tuesday, July 16 | 9:30 am–10:00 am 
TU-C930-GePD-F9-1, Exhibit Hall | Forum 9
AUTOMATIC SEGMENTATION ON CBCT IMAGES USING A COMBINATION OF CBCT ENHANCEMENT AND DEEP LEARNING CT SEGMENTATION
Sebastian Andersson*, Rasmus Nilsson,
RaySearch Laboratories, Stockholm, Sweden

Wednesday, July 17 | 9:30 am–10:00 am
WE-C930-GePD-F8-3, Exhibit Hall | Forum 8
INTERACTIVE DEEP LEARNING-BASED DELINEATION OF GROSS
TUMOR VOLUME FOR POST-OPERATIVE GLIOMA PATIENTS 
M Nordstrom1,2*, J Soderberg2, N Shusharina3, D Edmunds3, F Lofman2, H Hult1, A Maki1, T Bortfeld3,
(1) Royal Institute of Technology, Stockholm,
(2) RaySearch Laboratories, Stockholm,
(3) Massachusetts General Hospital, Boston