EngerLab

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 …

Our paper ” RapidBrachyDL: Rapid Radiation Dose Calculations in Brachytherapy via Deep Learning” was editor’s pick in the ESTRO news letter. Read More »

Congratulations to Luca Weishaupt for his latest publication in Journal Brachytherapy

luca

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 …

Congratulations to Luca Weishaupt for his latest publication in Journal Brachytherapy Read More »

Welcome to the EngerLab!

engerlab group photo

We are happy to announce that the EngerLab website is up and running. Please visit http://www.EngerLab.com Please follow us on LinkedIn, twitter and Facebook to see our updates and latest breakthroughs and celebrate the success of our students. Please have a look at our members and their interdisciplinary projects!