Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Vemuri, Anant"'
Autor:
Ayala, Leonardo, Wirkert, Sebastian, Vemuri, Anant, Adler, Tim, Seidlitz, Silvia, Pirmann, Sebastian, Engels, Christina, Teber, Dogu, Maier-Hein, Lena
Multispectral and hyperspectral imaging (MSI/HSI) can provide clinically relevant information on morphological and functional tissue properties. Application in the operating room (OR), however, has so far been limited by complex hardware setups and s
Externí odkaz:
http://arxiv.org/abs/2105.13901
Autor:
Adler, Tim J., Ayala, Leonardo, Ardizzone, Lynton, Kenngott, Hannes G., Vemuri, Anant, Müller-Stich, Beat P., Rother, Carsten, Köthe, Ullrich, Maier-Hein, Lena
Publikováno v:
Proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019
Multispectral optical imaging is becoming a key tool in the operating room. Recent research has shown that machine learning algorithms can be used to convert pixel-wise reflectance measurements to tissue parameters, such as oxygenation. However, the
Externí odkaz:
http://arxiv.org/abs/1911.01877
Autor:
Ayala, Leonardo A., Isensee, Fabian, Wirkert, Sebastian J., Vemuri, Anant S., Maier-Hein, Klaus H., Fei, Baowei, Maier-Hein, Lena
Multispectral imaging provides valuable information on tissue composition such as hemoglobin oxygen saturation. However, the real-time application of this technique in interventional medicine can be challenging due to the long acquisition times neede
Externí odkaz:
http://arxiv.org/abs/1905.11297
Autor:
Vemuri, Anant S.
This paper attempts to provide the reader a place to begin studying the application of computer vision and machine learning to gastrointestinal (GI) endoscopy. They have been classified into 18 categories. It should be be noted by the reader that thi
Externí odkaz:
http://arxiv.org/abs/1904.13307
Hyperspectral imaging (HSI) is an emerging modality in health-care applications for disease diagnosis, tissue assessment and image-guided surgery. Tissue reflectances captured by a HSI camera encode physiological properties including oxygenation and
Externí odkaz:
http://arxiv.org/abs/1904.02709
Autor:
Adler, Tim J., Ardizzone, Lynton, Vemuri, Anant, Ayala, Leonardo, Gröhl, Janek, Kirchner, Thomas, Wirkert, Sebastian, Kruse, Jakob, Rother, Carsten, Köthe, Ullrich, Maier-Hein, Lena
Purpose: Optical imaging is evolving as a key technique for advanced sensing in the operating room. Recent research has shown that machine learning algorithms can be used to address the inverse problem of converting pixel-wise multispectral reflectan
Externí odkaz:
http://arxiv.org/abs/1903.03441
Autor:
Vemuri, Anant Suraj
Les procédures gastro-intestinales de l’oesophage impliquent un contrôle ou une surveillance périodique de l'anatomie interne (réalisation de multiples biopsies le long de l’oesophage). Le suivi et la relocalisation inter-opératoires de ces
Externí odkaz:
http://www.theses.fr/2016NICE4018/document
Autor:
Ross, Tobias, Zimmerer, David, Vemuri, Anant, Isensee, Fabian, Wiesenfarth, Manuel, Bodenstedt, Sebastian, Both, Fabian, Kessler, Philip, Wagner, Martin, Müller, Beat, Kenngott, Hannes, Speidel, Stefanie, Kopp-Schneider, Annette, Maier-Hein, Klaus, Maier-Hein, Lena
Surgical data science is a new research field that aims to observe all aspects of the patient treatment process in order to provide the right assistance at the right time. Due to the breakthrough successes of deep learning-based solutions for automat
Externí odkaz:
http://arxiv.org/abs/1711.09726
Esophageal adenocarcinoma arises from Barrett's esophagus, which is the most serious complication of gastroesophageal reflux disease. Strategies for screening involve periodic surveillance and tissue biopsies. A major challenge in such regular examin
Externí odkaz:
http://arxiv.org/abs/1610.04097
Publikováno v:
Frontiers in Gastroenterology (Frontiers Media S.A.); 2024, p1-7, 7p
