Formerly known as Quantitative Radiology Solutions
Quantitative Radiology Solutions Receives 510(k) Clearance for Automatic Anatomy Recognition for Radiation Therapy Quantitative Radiology Solutions (QRS), a privately-held company that enables body-wide analysis of… Read More
Quantitative Radiology Solutions (QRS) has entered into the next phase of the clinical evaluation of its Automatic Anatomy Recognition (AAR) software – start of clinical… Read More
Quantitative Radiology Solutions (QRS) was awarded a second STTR grant from the National Cancer Institute (NCI) for development of software for automated PET/CT interpretation… Read More
Quantitative Radiology Solutions (QRS) has launched a multi-center clinical evaluation of its Automatic Anatomy Recognition (AAR) software for radiation treatment planning and has received its… Read More
Quantitative Radiology Solutions was awarded a Phase 2 STTR grant for “Automated object contouring methods and software for radiotherapy planning.” This two year grant… Read More
QRS presented STTR Phase I results in 2 posters at ASTRO 2017: “Auto-contouring for Radiation Therapy: Challenges in Standardizing Object Definitions, Ground Truth Delineations, Object… Read More
QRS presented its first poster at the American Association of Physics on Aug. 2, 2017. The poster addressed evaluation of segmentation methods as a function… Read More
QRS will be presenting its findings on “Evaluation of segmentation methods as a function of the quality of input images” at the American Association of… Read More
Quantitative Radiology Solutions was awarded a Phase I STTR grant for “Automated object contouring methods and software for thoracic radiotherapy planning.” The grant will allow… Read More
Quantitative Radiology Solutions was awarded a Phase 1 STTR grant for “Automated object contouring methods and software for head and neck radiotherapy planning.” The grant… Read More
Xingyu Wu, Jayaram K. Udupa, Yubing Tong, Dewey Odhner, Gargi V. Pednekar, Charles B. Simone II , David McLaughlin, Chavanon Apinorasethkul, Ontida Apinorasethkul, John Lukens, Dimitris Mihailidis, Geraldine Shammo, Paul James, Akhil Tiwari, Lisa Wojtowicz, Joseph Camaratta, Drew A. Torigian, “AAR-RT –A system for auto-contouring organs at risk on CT images for radiation therapy planning: Principles, design, and large-scale evaluation on head-and-neck and thoracic cancer cases”, Medical Image Analysis, 54:45-62, 2019
Yubing Tong, Jayaram K. Udupa, Xingyu Wu, Dewey Odhner, Gargi Pednekar, Charles B. Simone, David McLaughlin, Chavanon Apinorasethkul, Geraldine Shammo, Paul James, Joseph Camaratta, Drew A. Torigian, “Hierarchical model-based object localization for auto-contouring in head and neck radiation therapy planning,” Proc. SPIE 10578, Medical Imaging 2018
Xingyu Wu, Jayaram K. Udupa, Yubing Tong, Dewey Odhner, Gargi V. Pednekar, Charles B. Simone, David McLaughlin, Chavanon Apinorasethkul, John Lukens, Dimitris Mihailidis, Geraldine Shammo, Paul James, Joseph Camaratta, Drew A. Torigian, “Auto-contouring via automatic anatomy recognition of organs at risk in head and neck cancer on CT images,” Proc. SPIE 10576, Medical Imaging 2018
Gargi V. Pednekar, Jayaram K. Udupa, David J. McLaughlin, Xingyu Wu, Yubing Tong, Charles B. Simone, Joseph Camaratta, Drew A. Torigian, “Image quality and segmentation,” Proc. SPIE 10576, Medical Imaging 2018
Li J, Udupa JK, Tong Y, Wang L, Torigian DA. LinSEM: Linearizing segmentation evaluation metrics for medical images. Med Image Anal. 60:101601, 2019 . doi: 10.1016/j.media.2019.101601. PubMed PMID: 31811980.
Yubing Tong, Jayaram K. Udupa, Dewey Odhner, Caiyun Wu, StephenJ. Schuster, Drew A. Torigian, “Disease quantification on PET/CT images without explicit object delineation”, Medical Image Analysis, 21:169-183, 2019
Udupa, J.K., Odhner, D., Zao, L., Tong, Y., Matsumoto, M.M.S., Ciesielski, K.C., Falcao, A.X., Vaideeswaran, P., Ciesielski, V., Saboury, B., Mohammadianrasanani, S., Sin, S., Arens, R., Torigian, D.A.: “Body-wide hierarchical fuzzy modeling, recognition, and delineation of anatomy in medical images,” Medical Image Analysis, 18: 752-771, 2014.
Copyright © 2021 Quantaras. All rights reserved.