Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Eilers, Christine"'
Purpose: Mutual acceptance is required for any human-to-human interaction. Therefore, one would assume that this also holds for robot-patient interactions. However, the medical robotic imaging field lacks research in the area of acceptance. This work
Externí odkaz:
http://arxiv.org/abs/2302.06208
Autor:
Wysocki, Magdalena, Azampour, Mohammad Farid, Eilers, Christine, Busam, Benjamin, Salehi, Mehrdad, Navab, Nassir
We present a physics-enhanced implicit neural representation (INR) for ultrasound (US) imaging that learns tissue properties from overlapping US sweeps. Our proposed method leverages a ray-tracing-based neural rendering for novel view US synthesis. R
Externí odkaz:
http://arxiv.org/abs/2301.10520
Autor:
Zielke, John, Eilers, Christine, Busam, Benjamin, Weber, Wolfgang, Navab, Nassir, Wendler, Thomas
Publikováno v:
IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 3342-3348, April 2022
In nuclear medicine, radioiodine therapy is prescribed to treat diseases like hyperthyroidism. The calculation of the prescribed dose depends, amongst other factors, on the thyroid volume. This is currently estimated using conventional 2D ultrasound
Externí odkaz:
http://arxiv.org/abs/2112.06761
Autor:
Krönke, Markus, Eilers, Christine, Dimova, Desislava, Köhler, Melanie, Buschner, Gabriel, Mirzojan, Lilit, Konstantinidou, Lemonia, Makowski, Marcus R., Nagarajah, James, Navab, Nassir, Weber, Wolfgang, Wendler, Thomas
Background: Thyroid volumetry is crucial in diagnosis, treatment and monitoring of thyroid diseases. However, conventional thyroid volumetry with 2D ultrasound is highly operator-dependent. This study compares 2D ultrasound and tracked 3D ultrasound
Externí odkaz:
http://arxiv.org/abs/2108.10118
Autor:
Tirindelli, Maria, Eilers, Christine, Simson, Walter, Paschali, Magdalini, Azampour, Mohammad Farid, Navab, Nassir
Medical Ultrasound (US), despite its wide use, is characterized by artifacts and operator dependency. Those attributes hinder the gathering and utilization of US datasets for the training of Deep Neural Networks used for Computer-Assisted Interventio
Externí odkaz:
http://arxiv.org/abs/2105.02188
Autor:
Krönke, Markus1,2 (AUTHOR), Eilers, Christine3 (AUTHOR) christine.eilers@tum.de, Dimova, Desislava3 (AUTHOR), Köhler, Melanie3,4 (AUTHOR), Buschner, Gabriel2 (AUTHOR), Schweiger, Lilit2 (AUTHOR), Konstantinidou, Lemonia3 (AUTHOR), Makowski, Marcus5 (AUTHOR), Nagarajah, James6 (AUTHOR), Navab, Nassir3,7 (AUTHOR), Weber, Wolfgang2 (AUTHOR), Wendler, Thomas3 (AUTHOR)
Publikováno v:
PLoS ONE. 7/29/2022, Vol. 17 Issue 7, p1-15. 15p.
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Autor:
Eilers C; Chair for Computer Aided Medical Procedures and Augmented Reality, Technical University of Munich, Boltzmannstr. 3, Garching near Munich, 85748, Germany. christine.eilers@tum.de., van Kemenade R; Chair for Computer Aided Medical Procedures and Augmented Reality, Technical University of Munich, Boltzmannstr. 3, Garching near Munich, 85748, Germany., Busam B; Chair for Computer Aided Medical Procedures and Augmented Reality, Technical University of Munich, Boltzmannstr. 3, Garching near Munich, 85748, Germany., Navab N; Chair for Computer Aided Medical Procedures and Augmented Reality, Technical University of Munich, Boltzmannstr. 3, Garching near Munich, 85748, Germany.
Publikováno v:
International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2023 Jul; Vol. 18 (7), pp. 1261-1267. Date of Electronic Publication: 2023 May 29.