The paper "Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and Organs", published in Applied Sciences, presents research results obtained within Dimitris Bounias’ diploma thesis

The paper by Dimitrios Bounias, Ashish Singh, Spyridon Bakas, Sarthak Pati, Saima Rathore, Hamed Akbari, Michel Bilello, Benjamin A. Greenberger, Joseph Lombardo, Rhea D. Chitalia, Nariman Jahani, Aimilia Gastounioti, Michelle Hershman, Leonid Roshkovan, Sharyn I. Katz, Bardia Yousefi, Carolyn Lou, Amber L. Simpson, Richard K. G. Do, Russell T. Shinohara, Despina Kontos, Konstantina Nikita and Christos Davatzikos, entitled "Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and Organs", has been published in Applied Sciences. The research results presented in the paper have been obtained in Dimitris Bounias’ diploma thesis, which was performed within the framework of a joint project on biomedical image computing and machine learning, launched by BioSim and the Center for Biomedical Image Computing and Analytics (CBICA) of UPenn.