Technische Universität München (TUM)

University / College


Location: München, Germany (DE) DE

ISNI: 0000000123222966

ROR: https://ror.org/02kkvpp62

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

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Abstract

Journal

CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions (2020) Vercauteren T, Unberath M, Padoy N, Navab N Journal article Toward an end-to-end calibration for mobile C-arm in combination with a depth sensor for surgical augmented reality applications (2020) Hosseinian S, Arefi H, Navab N Journal article Intraoperative imaging and visualization Intraoperative Bildgebung und Visualisierung (2020) Maier-Hein L, Gockel I, Speidel S, Wendler T, Teber D, Maerz K, Tizabi M, et al. Journal article, Review article Analyzing the co-localization of substantia nigra hyper-echogenicities and iron accumulation in Parkinson's disease: A multi-modal atlas study with transcranial ultrasound and MRI (2020) Ahmadi SA, Boetzel K, Levin J, Maiostre J, Klein T, Wein W, Rozanski V, et al. Journal article Liver lesion localisation and classification with convolutional neural networks: A comparison between conventional and spectral computed tomography (2020) Shapira N, Fokuhl J, Schultheiss M, Beck S, Kopp FK, Pfeiffer D, Dangelmaier J, et al. Journal article Pivot calibration concept for sensor attached mobile c-arms (2020) Lee SC, Seibold M, Fuernstahl P, Farshad M, Navab N Conference contribution Benefit of dual energy CT for lesion localization and classification with convolutional neural networks (2020) Shapira N, Fokuhl J, Schultheiss M, Beck S, Kopp FK, Pfeiffer D, Dangelmaier J, et al. Conference contribution Virtual and Augmented Reality in Surgery (2020) Halabi O, Balakrishnan S, Dakua SP, Navab N, Warfa M Book chapter / Article in edited volumes Continual Class Incremental Learning for CT Thoracic Segmentation (2020) Elskhawy A, Lisowska A, Keicher M, Henry J, Thomson P, Navab N Conference contribution Inverse Distance Aggregation for Federated Learning with Non-IID Data (2020) Yeganeh Y, Farshad A, Navab N, Albarqouni S Conference contribution