Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Ayala, Leonardo"'
Autor:
Dreher, Kris K., Ayala, Leonardo, Schellenberg, Melanie, Hübner, Marco, Nölke, Jan-Hinrich, Adler, Tim J., Seidlitz, Silvia, Sellner, Jan, Studier-Fischer, Alexander, Gröhl, Janek, Nickel, Felix, Köthe, Ullrich, Seitel, Alexander, Maier-Hein, Lena
Synthetic medical image generation has evolved as a key technique for neural network training and validation. A core challenge, however, remains in the domain gap between simulations and real data. While deep learning-based domain transfer using Cycl
Externí odkaz:
http://arxiv.org/abs/2303.10191
Autor:
García Ayala, Leonardo J.1 leogarciaya@ciencias.unam.mx, Ojeda, Margarita1 margojeda@gmail.com
Publikováno v:
Dugesiana. jul2024, Vol. 31 Issue 2, p175-180. 6p.
Autor:
Seidlitz, Silvia, Sellner, Jan, Odenthal, Jan, Özdemir, Berkin, Studier-Fischer, Alexander, Knödler, Samuel, Ayala, Leonardo, Adler, Tim J., Kenngott, Hannes G., Tizabi, Minu, Wagner, Martin, Nickel, Felix, Müller-Stich, Beat P., Maier-Hein, Lena
Publikováno v:
Medical Image Analysis, Volume 80, 2022, 102488, ISSN 1361-8415
Semantic image segmentation is an important prerequisite for context-awareness and autonomous robotics in surgery. The state of the art has focused on conventional RGB video data acquired during minimally invasive surgery, but full-scene semantic seg
Externí odkaz:
http://arxiv.org/abs/2111.05408
Autor:
Dietrich, Maximilian, Seidlitz, Silvia, Schreck, Nicholas, Wiesenfarth, Manuel, Godau, Patrick, Tizabi, Minu, Sellner, Jan, Marx, Sebastian, Knödler, Samuel, Allers, Michael M., Ayala, Leonardo, Schmidt, Karsten, Brenner, Thorsten, Studier-Fischer, Alexander, Nickel, Felix, Müller-Stich, Beat P., Kopp-Schneider, Annette, Weigand, Markus A., Maier-Hein, Lena
Sepsis is a leading cause of mortality and critical illness worldwide. While robust biomarkers for early diagnosis are still missing, recent work indicates that hyperspectral imaging (HSI) has the potential to overcome this bottleneck by monitoring m
Externí odkaz:
http://arxiv.org/abs/2106.08445
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:
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
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Akademický článek
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