1. A deep-learning-based technique for the quantitative analysis of femorotibial osteophyte and bone volumes -data from the osteoarthritis initiative. (April 2021) Authors: Schachinger, J.K.; Maschek, S.; Wisser, A.; Fürst, D.; Chaudhari, A.S.; Kemnitz, J.; Baumgartner, C.F.; Konukoglu, E.; Eckstein, F.; Wirth, W. Journal: Osteoarthritis and cartilage Issue: Volume 29(2021)Supplement 1 Page Start: S328 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Agreement and accuracy of femorotibial cartilage morphometry in radiographic knee OA using different training sets for automateddeep learning segmentation - comparison between flash and dess MRI. (April 2021) Authors: Wirth, W.; Chaudhari, A.S.; Kemnitz, J.; Baumgartner, C.F.; Konukoglu, E.; Fürst, D.; Eckstein, F. Journal: Osteoarthritis and cartilage Issue: Volume 29(2021)Supplement 1 Page Start: S334 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Clinical validation of fully automated segmentation of thigh muscle and adipose tissue cross sectional areas using maching learning with a convolutional neural network. (April 2019) Authors: Kemnitz, J.; Baumgartner, C.F.; Ruhdorfer, A.; Wirth, W.; Eckstein, F.; Eder, S.K.; Konukoglu, E. Journal: Osteoarthritis and cartilage Issue: Volume 27(2019)Supplement 1 Page Start: S383 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Effect of training set sample size on the agreement, accuracy, and sensitivity to change of automated U-net-based cartilage thickness analysis. (April 2021) Authors: Eckstein, F.; Chaudhari, A.; Baumgartner, C.F.; Konukoglu, E.; Wisser, A.; Fürst, D.; Wirth, W. Journal: Osteoarthritis and cartilage Issue: Volume 29(2021)Supplement 1 Page Start: S326 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗