Technische Universität München (TUM)

Domain Adapted Model for In Vivo Intravascular Ultrasound Tissue Characterization (2017) Conjeti S, Roy AG, Sheet D, Carlier S, Syeda-Mahmood T, Navab N, Katouzian A Authored book Hashing with residual networks for image retrieval (2017) Conjeti S, Roy AG, Katouzian A, Navab N Conference contribution Error corrective boosting for learning fully convolutional networks with limited data (2017) Roy AG, Conjeti S, Sheet D, Katouzian A, Navab N, Wachinger C Conference contribution X-ray in-depth decomposition: Revealing the latent structures (2017) Albarqouni S, Fotouhi J, Navab N Conference contribution Precise ultrasound bone registration with learning-based segmentation and speed of sound calibration (2017) Salehi M, Prevost R, Moctezuma JL, Navab N, Wein W Conference contribution Semi-supervised deep learning for fully convolutional networks (2017) Baur C, Albarqouni S, Navab N Conference contribution A mixed-reality approach to radiation-free training of C-arm based surgery (2017) Stefan P, Habert S, Winkler A, Lazarovici M, Fürmetz J, Eck U, Navab N Conference contribution Surgical soundtracks: Towards automatic musical augmentation of surgical procedures (2017) Matinfar S, Nasseri MA, Eck U, Roodaki H, Navab N, Lohmann CP, Maier M, Navab N Conference contribution Pattern visualization and recognition using tensor factorization for early differential diagnosis of parkinsonism (2017) Li R, Wu P, Yakushev I, Wang J, Ziegler SI, Förster S, Huang SC, et al. Conference contribution Segmentation of intracranial arterial calcification with deeply supervised residual dropout networks (2017) Bortsova G, van Tulder G, Dubost F, Peng T, Navab N, van der Lugt A, Bos D, De Bruijne M Conference contribution