Technische Universität München (TUM)

Beamforming Sub-Sampled Raw Ultrasound Data with DeepFormer (2019) Simson W, Paschali M, Zahnd G, Navab N Conference contribution Leveraging Web Data for Skin Lesion Classification (2019) Navarro F, Conjeti S, Tombari F, Navab N Conference contribution Landmark-Free Initialization of Multi-Modal Image Registration (2019) Rackerseder J, Baust M, Göbl R, Navab N, Hennersperger C Conference contribution Adversarial Examples as Benchmark for Medical Imaging Neural Networks (2019) Paschali M, Conjeti S, Navarro F, Navab N Conference contribution InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction (2019) Kazi A, Shekarforoush S, Krishna SA, Burwinkel H, Vivar G, Kortum K, Ahmadi SA, et al. Conference contribution Manifold Exploring Data Augmentation with Geometric Transformations for Increased Performance and Robustness (2019) Paschali M, Simson W, Roy AG, Goebl R, Wachinger C, Navab N Conference contribution 6DOF Needle Pose Estimation for Robot-Assisted Vitreoretinal Surgery (2019) Zhou M, Hao X, Eslami A, Huang K, Cai C, Lohmann CP, Navab N, et al. Journal article Focal loss for artefact detection in medical endoscopy (2019) Kayser M, Soberanis-Mukul RD, Albarqouni S, Navab N Conference contribution Generalising multistain immunohistochemistry tissue segmentation using end-to-end colour deconvolution deep neural networks (2019) Lahiani A, Gildenblat J, Klaman I, Navab N, Klaiman E Journal article Colonoscope tracking method based on shape estimation network (2019) Oda M, Roth HR, Kitasaka T, Furukawa K, Miyahara R, Hirooka Y, Navab N, Mori K Conference contribution