Multi-task learning of a deep K-nearest neighbour network for histopathological image classification and retrieval (2019) Peng T, Boxberg M, Weichert W, Navab N, Marr C Conference contribution Graph convolution based attention model for personalized disease prediction (2019) Kazi A, Shekarforoush S, Krishna SA, Burwinkel H, Vivar G, Wiestler B, Kortuem K, et al. Conference contribution Learning interpretable disentangled representations using adversarial VAEs (2019) Sarhan MH, Eslami A, Navab N, Albarqouni S Conference contribution ‘Project & Excite’ Modules for Segmentation of Volumetric Medical Scans (2019) Rickmann AM, Roy AG, Sarasua I, Navab N, Wachinger C Conference contribution Deep Residual Learning for Instrument Segmentation in Robotic Surgery (2019) Pakhomov D, Premachandran V, Allan M, Azizian M, Navab N Conference contribution 3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation (2019) Paschali M, Gasperini S, Roy AG, Fang MYS, Navab N Conference contribution Learning Interpretable Features via Adversarially Robust Optimization (2019) Khakzar A, Albarqouni S, Navab N Conference contribution Medical-based Deep Curriculum Learning for Improved Fracture Classification (2019) Jimenez-Sanchez A, Mateus D, Kirchhoff S, Kirchhoff C, Biberthaler P, Navab N, Gonzalez Ballester MA, Piella G Conference contribution Towards Fully Automatic X-Ray to CT Registration (2019) Esteban J, Grimm M, Unberath M, Zahnd G, Navab N Conference contribution Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks (2019) Burwinkel H, Kazi A, Vivar G, Albarqouni S, Zahnd G, Navab N, Ahmadi SA Conference contribution