Article Versions Notes

Starke S, Zwanenburg A, Leger K, Lohaus F, Linge A, Kalinauskaite G, Tinhofer I, Guberina N, Guberina M, Balermpas P, et al. Multitask Learning with Convolutional Neural Networks and Vision Transformers Can Improve Outcome Prediction for Head and Neck Cancer Patients. Cancers. 2023; 15(19):4897. https://doi.org/10.3390/cancers15194897

Starke, Sebastian, Alex Zwanenburg, Karoline Leger, Fabian Lohaus, Annett Linge, Goda Kalinauskaite, Inge Tinhofer, Nika Guberina, Maja Guberina, Panagiotis Balermpas, and et al. 2023. "Multitask Learning with Convolutional Neural Networks and Vision Transformers Can Improve Outcome Prediction for Head and Neck Cancer Patients" Cancers 15, no. 19: 4897. https://doi.org/10.3390/cancers15194897

Starke, S., Zwanenburg, A., Leger, K., Lohaus, F., Linge, A., Kalinauskaite, G., Tinhofer, I., Guberina, N., Guberina, M., Balermpas, P., Grün, J. v. d., Ganswindt, U., Belka, C., Peeken, J. C., Combs, S. E., Boeke, S., Zips, D., Richter, C., Troost, E. G. C., ... Löck, S. (2023). Multitask Learning with Convolutional Neural Networks and Vision Transformers Can Improve Outcome Prediction for Head and Neck Cancer Patients. Cancers, 15(19), 4897. https://doi.org/10.3390/cancers15194897