Zobrazeno 1 - 10
of 1 520
pro vyhledávání: '"Schlaefer A."'
Publikováno v:
Current Directions in Biomedical Engineering, Vol 7, Iss 1, Pp 35-38 (2021)
Elasticity of soft tissue is a valuable information to physicians in treatment and diagnosis of diseases. The elastic properties of tissue can be estimated with ultrasound (US) shear wave imaging (SWEI). In US-SWEI, a force push is applied inside the
Externí odkaz:
https://doaj.org/article/5d14421770d04caa97aa82b87c8cb9c1
Publikováno v:
Current Directions in Biomedical Engineering, Vol 7, Iss 1, Pp 63-66 (2021)
Medulloblastoma (MB) is a primary central nervous system tumor and the most common malignant brain cancer among children. Neuropathologists perform microscopic inspection of histopathological tissue slides under a microscope to assess the severity of
Externí odkaz:
https://doaj.org/article/712c060f978b427eae6d0c94280d8c78
Publikováno v:
Current Directions in Biomedical Engineering, Vol 7, Iss 1, Pp 21-25 (2021)
The distinction between malignant and benign tumors is essential to the treatment of cancer. The tissue's elasticity can be used as an indicator for the required tissue characterization. Optical coherence elastography (OCE) probes have been proposed
Externí odkaz:
https://doaj.org/article/8eee78f99af549ad9ec3b1ef3764ea00
Publikováno v:
Current Directions in Biomedical Engineering, Vol 7, Iss 1, Pp 53-57 (2021)
Fluorescent cardiac imaging can be applied for intraoperative quality control after a coronary bypass grafting surgery to ensure the myocardial perfusion by evaluating the increasing contrast agent enrichment in the heart. The motion due to the beati
Externí odkaz:
https://doaj.org/article/9209a15c28874db8822a83dfa763611e
Autor:
Behrendt, Finn, Bhattacharya, Debayan, Mieling, Robin, Maack, Lennart, Krüger, Julia, Opfer, Roland, Schlaefer, Alexander
Unsupervised Anomaly Detection (UAD) methods rely on healthy data distributions to identify anomalies as outliers. In brain MRI, a common approach is reconstruction-based UAD, where generative models reconstruct healthy brain MRIs, and anomalies are
Externí odkaz:
http://arxiv.org/abs/2407.12474
Autor:
Grube, Sarah, Neidhardt, Maximilian, Herrmann, Anna-Katarina, Sprenger, Johanna, Abdolazizi, Kian, Latus, Sarah, Cyron, Christian J., Schlaefer, Alexander
Soft tissue elasticity is directly related to different stages of diseases and can be used for tissue identification during minimally invasive procedures. By palpating a tissue with a robot in a minimally invasive fashion force-displacement curves ca
Externí odkaz:
http://arxiv.org/abs/2406.09947
Autor:
Bhattacharya, Debayan, Behrendt, Finn, Becker, Benjamin Tobias, Maack, Lennart, Beyersdorff, Dirk, Petersen, Elina, Petersen, Marvin, Cheng, Bastian, Eggert, Dennis, Betz, Christian, Hoffmann, Anna Sophie, Schlaefer, Alexander
Purpose: Paranasal anomalies, frequently identified in routine radiological screenings, exhibit diverse morphological characteristics. Due to the diversity of anomalies, supervised learning methods require large labelled dataset exhibiting diverse an
Externí odkaz:
http://arxiv.org/abs/2404.18599
Sliced Online Model Checking for Optimizing the Beam Scheduling Problem in Robotic Radiation Therapy
Publikováno v:
EPTCS 399, 2024, pp. 193-209
In robotic radiation therapy, high-energy photon beams from different directions are directed at a target within the patient. Target motion can be tracked by robotic ultrasound and then compensated by synchronous beam motion. However, moving the beam
Externí odkaz:
http://arxiv.org/abs/2403.18918
Autor:
Behrendt, Finn, Bhattacharya, Debayan, Maack, Lennart, Krüger, Julia, Opfer, Roland, Mieling, Robin, Schlaefer, Alexander
Supervised deep learning techniques show promise in medical image analysis. However, they require comprehensive annotated data sets, which poses challenges, particularly for rare diseases. Consequently, unsupervised anomaly detection (UAD) emerges as
Externí odkaz:
http://arxiv.org/abs/2403.14262
Autor:
Neidhardt, Maximilian, Mieling, Robin, Latus, Sarah, Fischer, Martin, Maurer, Tobias, Schlaefer, Alexander
Robot-assisted surgery has advantages compared to conventional laparoscopic procedures, e.g., precise movement of the surgical instruments, improved dexterity, and high-resolution visualization of the surgical field. However, mechanical tissue proper
Externí odkaz:
http://arxiv.org/abs/2403.09256