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 Associative Deep Clustering: Training a Classification Network with No Labels (2019) Haeusser P, Plapp J, Golkov V, Aljalbout E, Cremers D Conference contribution Deep Depth from Focus (2019) Hazirbas C, Soyer SG, Staab MC, Leal-Taixe L, Cremers D Conference contribution