Zobrazeno 1 - 10
of 611
pro vyhledávání: '"Betz, Christian"'
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
Autor:
Schrage, Theresa, Görlach, Mirja, Betz, Christian Stephan, Bokemeyer, Carsten, Kröger, Nicolaus, Mueller, Volkmar, Petersen, Cordula, Krüll, Andreas, Schulz, Holger, Bleich, Christiane
Publikováno v:
JMIR Research Protocols, Vol 9, Iss 7, p e17854 (2020)
BackgroundCancer patients often suffer from the physical and psychological burden of their disease and its treatment. This is frequently insufficiently identified and addressed in clinical practice. In the context of improving patient-centered care i
Externí odkaz:
https://doaj.org/article/a536831b83f04592b9e05f7b94d48f50
Autor:
Bhattacharya, Debayan, Latus, Sarah, Behrendt, Finn, Thimm, Florin, Eggert, Dennis, Betz, Christian, Schlaefer, Alexander
Needle positioning is essential for various medical applications such as epidural anaesthesia. Physicians rely on their instincts while navigating the needle in epidural spaces. Thereby, identifying the tissue structures may be helpful to the physici
Externí odkaz:
http://arxiv.org/abs/2304.13574
Autor:
Bhattacharya, Debayan, Behrendt, Finn, Becker, Benjamin Tobias, Beyersdorff, Dirk, Petersen, Elina, Petersen, Marvin, Cheng, Bastian, Eggert, Dennis, Betz, Christian, Hoffmann, Anna Sophie, Schlaefer, Alexander
Paranasal anomalies are commonly discovered during routine radiological screenings and can present with a wide range of morphological features. This diversity can make it difficult for convolutional neural networks (CNNs) to accurately classify these
Externí odkaz:
http://arxiv.org/abs/2303.17915
Autor:
Bhattacharya, Debayan, Behrendt, Finn, Becker, Benjamin Tobias, Beyersdorff, Dirk, Petersen, Elina, Petersen, Marvin, Cheng, Bastian, Eggert, Dennis, Betz, Christian, Hoffmann, Anna Sophie, Schlaefer, Alexander
Deep learning (DL) algorithms can be used to automate paranasal anomaly detection from Magnetic Resonance Imaging (MRI). However, previous works relied on supervised learning techniques to distinguish between normal and abnormal samples. This method
Externí odkaz:
http://arxiv.org/abs/2211.01371
Autor:
Bhattacharya, Debayan, Becker, Benjamin Tobias, Behrendt, Finn, Bengs, Marcel, Beyersdorff, Dirk, Eggert, Dennis, Petersen, Elina, Jansen, Florian, Petersen, Marvin, Cheng, Bastian, Betz, Christian, Schlaefer, Alexander, Hoffmann, Anna Sophie
Using deep learning techniques, anomalies in the paranasal sinus system can be detected automatically in MRI images and can be further analyzed and classified based on their volume, shape and other parameters like local contrast. However due to limit
Externí odkaz:
http://arxiv.org/abs/2209.01937
Colorectal Cancer(CRC) poses a great risk to public health. It is the third most common cause of cancer in the US. Development of colorectal polyps is one of the earliest signs of cancer. Early detection and resection of polyps can greatly increase s
Externí odkaz:
http://arxiv.org/abs/2110.08776
Autor:
Bengs, Marcel, Gessert, Nils, Laffers, Wiebke, Eggert, Dennis, Westermann, Stephan, Mueller, Nina A., Gerstner, Andreas O. H., Betz, Christian, Schlaefer, Alexander
Early detection of cancerous tissue is crucial for long-term patient survival. In the head and neck region, a typical diagnostic procedure is an endoscopic intervention where a medical expert manually assesses tissue using RGB camera images. While he
Externí odkaz:
http://arxiv.org/abs/2007.01042
Autor:
Bengs, Marcel, Westermann, Stephan, Gessert, Nils, Eggert, Dennis, Gerstner, Andreas O. H., Mueller, Nina A., Betz, Christian, Laffers, Wiebke, Schlaefer, Alexander
Early detection of head and neck tumors is crucial for patient survival. Often, diagnoses are made based on endoscopic examination of the larynx followed by biopsy and histological analysis, leading to a high inter-observer variability due to subject
Externí odkaz:
http://arxiv.org/abs/2004.10159