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Unpublished / Preprint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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To

Abstract

Journal

Erratum to: Dosimetry on first clinical dark-field chest radiography (Medical Physics, (2021), 48, 10, (6152-6159), 10.1002/mp.15132) (2022) Frank M, Urban T, Willer K, Noichl W, De Marco F, Schick R, Gleich B, et al. Journal article, Erratum Standardization and implementation of fluorescence molecular endoscopy in the clinic (2022) Sterkenburg AJ, Hooghiemstra WTR, Schmidt I, Ntziachristos V, Nagengast WB, Gorpas D Journal article Autonomous Robotic Screening of Tubular Structures Based only on Real-Time Ultrasound Imaging Feedback (2022) Jiang Z, Li Z, Grimm M, Zhou M, Esposito M, Wein W, Stechele W, et al. Journal article PLAFOKON: a new concept for a patient-individual and intervention-specific flexible surgical platform (2022) Bernhard L, Krumpholz R, Krieger Y, Czempiel T, Meining A, Navab N, Luth T, Wilhelm D Journal article Robot-Assisted Medical Imaging: A Review (2022) Salcudean SE, Moradi H, Black DG, Navab N Journal article Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation (2022) Deng H, Bui M, Navab N, Guibas L, Ilic S, Birdal T Journal article VesNet-RL: Simulation-Based Reinforcement Learning for Real-World US Probe Navigation (2022) Bi Y, Jiang Z, Gao Y, Wendler T, Karlas A, Navab N Journal article Towards Autonomous Atlas-Based Ultrasound Acquisitions in Presence of Articulated Motion (2022) Jiang Z, Gao Y, Xie L, Navab N Journal article Iodine images in dual energy CT: A monocentric study benchmarking quantitative iodine concentration values of the healthy liver (2022) Beck S, Jahn L, Deniffel D, Riederer I, Sauter A, Makowski MR, Pfeiffer D Journal article Tracked 3D ultrasound and deep neural network-based thyroid segmentation reduce interobserver variability in thyroid volumetry (2022) Kroenke M, Eilers C, Dimova D, Koehler M, Buschner G, Schweiger L, Konstantinidou L, et al. Journal article