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eess.IV2023
3D Masked Autoencoders with Application to Anomaly Detection in Non-Contrast Enhanced Breast MRI
Daniel M. Lang, Eli Schwartz, Cosmin I. Bercea +2
Self-supervised models allow (pre-)training on unlabeled data and therefore have the potential to overcome the need for large annotated cohorts. One leading self-supervised model i…
eess.IV2020
Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients
Daniel M. Lang, Jan C. Peeken, Stephanie E. Combs +2
We investigated the ability of deep learning models for imaging based HPV status detection. To overcome the problem of small medical datasets we used a transfer learning approach.…