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Congratulations to Yujing for an excellent oral presentation (proffered paper) at ESTRO 2022 in Copenhagen, Denmark!!
Yujing Zou, M.Sc. student at the EngerLab, presented McMedHacks‘ team efforts from the Enger Lab at the McGill University – Medical Physics: “McMedHacks: Deep learning for medical image analysis workshops and Hackathon in radiation oncology”, at European Society for Radiotherapy and Oncology (ESTRO), the largest European meeting on radiation oncology, in Copenhagen, Denmark last Saturday. #estro2022. The proffered paper presentation is
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Our paper ” RapidBrachyDL: Rapid Radiation Dose Calculations in Brachytherapy via Deep Learning” was editor’s pick in the ESTRO news letter.
In this paper, we have replaced the time consuming Mone Carlo method for use in brachytherapy dose calculations with a 3-dimensional deep convolutional neural network model to provide fast and accurate dose estimations. The work by Ximeng Mao during his master’s studies at the Enger Lab and in collaboration with Dr. Joelle Pineau allows for dose simulations that are as accurate as the gold-standard Monte-Carlo methods but take much less time. A brief discription of the RapidBrachyDL has become the editor’s pick in ESTRO news letter. More
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Congratulations to Luca Weishaupt for his latest publication in Journal Brachytherapy
Congratulations Luca Weishaupt for his latest publication in the Brachytherapy Journal in collaboration with Dr. Christopher Deufel at the Mayo clinic. Luca’s paper titled: Approaching automated applicator digitization from a new angle: Using sagittal images to improve deep learning accuracy and robustness in high-dose-rate prostate brachytherapy can be accessed here. Engerlab is very proud of
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