PALO ALTO, Calif., June 13, 2019 /PRNewswire/ -- Varian (NYSE: VAR) today announced it will be delivering presentations focused on artificial intelligence (AI), federated data sources and clinical decision support at the 19th International Conference on the use of Computers in Radiation Therapy (ICCR), in Montreal, Canada June 17th-21st.
The Varian-led topics being presented are:
Deep Learning Model for Markerless Tracking in Spinal SBRT: Toon R., Mislav B. and Stefan S. at 11:15am Monday, June 17th
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Development of a self-supervised autoencoder for anatomic classification of 3D data sets: Daren S., Petr J. at 11:30am Monday, June 17th
Intra-Fraction SBRT Dose Calculation for Pancreas Cancer: Nasim G., Claas W., Toon R., Marius, Stefan A. at 5:00pm Monday, June 17th
A Clinical Data Model in Oncology to Enable Clinical Decision Support (CDS) Services within 360 Oncology: Halina Labiková, Chad Armstrong and Meir Levi at 10:40am Tuesday, June 18th
Using Federated Data Sources and Varian Learning Portal Framework to Train Neutral Networks for Automated Organ Segmentation: Elena C., Wolfgang W., Mikko H., Petr J. and Esa K. at 10:40am Wednesday, June 19th
Physics-Based Data Augmentation for Deep Learning Organ Segmentation: Petr J., Phil A., Felipe A. at 12:00pm Wednesday, June 19th
In addition to the six Varian-led presentations, the company will host a panel discussion on the developments, challenges and the future of AI in radiation oncology and beyond. The panel will discuss opportunities for AI in research and clinical practice, the use of AI-based decision support systems, as well as frameworks for the development of AI solutions. The panel will take place on Wednesday, June 19th at 5:15pm, at the Grand Salon A.
Varian is a leader in developing and delivering cancer care solutions and is focused on creating a world without fear of cancer. Headquartered in Palo Alto, California, Varian employs approximately 7,000 people around the world.