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Unpublished / Preprint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

From
To

Abstract

Journal

Phantom and methodology for fluorescence molecular imaging systems benchmarking (2018) Gorpas D, Koch M, Anastasopoulou M, Klemm U, Ntziachristos V Conference contribution Multimodal Optoacoustic Imaging (2018) Omar M, Soliman D, Ntziachristos V Authored book From interventionist imaging to intraoperative guidance: New perspectives by combining advanced tools and navigation with radio-guided surgery De la imagen intervencionista a la guía intraoperatoria: nuevas perspectivas combinando herramientas avanzadas y navegación con la cirugía radioguiada (2018) Vidal-Sicart S, Olmos RV, Nieweg OE, Faccini R, Grootendorst MR, Wester HJ, Navab N, et al. Journal article An Augmented Reality magic mirror as additive teaching device for gross anatomy (2018) Kugelmann D, Stratmann L, Nuehlen N, Bork F, Hoffmann S, Samarbarksh G, Pferschy A, et al. Journal article Spatial Compounding of 3-D Fetal Brain Ultrasound Using Probabilistic Maps (2018) Perez-Gonzalez J, Arambula-Cosio F, Guzman M, Camargo L, Gutierrez B, Mateus D, Navab N, Medina-Banuelos V Journal article Fast MRI whole brain segmentation with fully convolutional neural networks (2018) Roy AG, Conjeti S, Navab N, Wachinger C Conference contribution Deep hashing for large-scale medical image retrieval (2018) Conjeti S, Paschali M, Roy AG, Navab N Conference contribution Human pose estimation from pressure sensor data (2018) Casas L, Mürwald C, Achilles F, Mateus D, Huber D, Navab N, Demirci S Conference contribution Simulation of realistic low dose fluoroscopic images from their high dose counterparts (2018) Hariharan SG, Strobel N, Kowarschik M, Fahrig R, Navab N Conference contribution Machine learning-based colon deformation estimation method for colonoscope tracking (2018) Oda M, Kitasaka T, Furukawa K, Miyahara R, Hirooka Y, Goto H, Navab N, Mori K Conference contribution