Technische Universität München (TUM)

‘Project & Excite’ Modules for Segmentation of Volumetric Medical Scans (2019) Rickmann AM, Roy AG, Sarasua I, Navab N, Wachinger C 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 Marker-less real-time intra-operative camera and hand-eye calibration procedure for surgical augmented reality (2019) Kalia M, Mathur P, Navab N, Salcudean SE Journal article Challenges in computer assisted interventions (2019) Stefan P, Traub J, Hennersperger C, Esposito M, Navab N Authored book Scene coordinate and correspondence learning for image-based localization (2019) Bui M, Albarqouni S, Ilic S, Navab N Conference contribution Layer-aware iOCT volume rendering for retinal surgery (2019) Weiss J, Eck U, Nasseri MA, Maier M, Eslami A, Navab N Conference contribution