Zobrazeno 1 - 10
of 642
pro vyhledávání: '"Maier‐Hein, Lena"'
Autor:
Sellner, Jan, Studier-Fischer, Alexander, Qasim, Ahmad Bin, Seidlitz, Silvia, Schreck, Nicholas, Tizabi, Minu, Wiesenfarth, Manuel, Kopp-Schneider, Annette, Knödler, Samuel, Haney, Caelan Max, Salg, Gabriel, Özdemir, Berkin, Dietrich, Maximilian, Michel, Maurice Stephan, Nickel, Felix, Kowalewski, Karl-Friedrich, Maier-Hein, Lena
Novel optical imaging techniques, such as hyperspectral imaging (HSI) combined with machine learning-based (ML) analysis, have the potential to revolutionize clinical surgical imaging. However, these novel modalities face a shortage of large-scale, r
Externí odkaz:
http://arxiv.org/abs/2410.19789
Autor:
Christodoulou, Evangelia, Reinke, Annika, Houhou, Rola, Kalinowski, Piotr, Erkan, Selen, Sudre, Carole H., Burgos, Ninon, Boutaj, Sofiène, Loizillon, Sophie, Solal, Maëlys, Rieke, Nicola, Cheplygina, Veronika, Antonelli, Michela, Mayer, Leon D., Tizabi, Minu D., Cardoso, M. Jorge, Simpson, Amber, Jäger, Paul F., Kopp-Schneider, Annette, Varoquaux, Gaël, Colliot, Olivier, Maier-Hein, Lena
Medical imaging is spearheading the AI transformation of healthcare. Performance reporting is key to determine which methods should be translated into clinical practice. Frequently, broad conclusions are simply derived from mean performance values. I
Externí odkaz:
http://arxiv.org/abs/2409.17763
Autor:
Baumann, Alexander, Ayala, Leonardo, Studier-Fischer, Alexander, Sellner, Jan, Özdemir, Berkin, Kowalewski, Karl-Friedrich, Ilic, Slobodan, Seidlitz, Silvia, Maier-Hein, Lena
Hyperspectral imaging (HSI) is emerging as a promising novel imaging modality with various potential surgical applications. Currently available cameras, however, suffer from poor integration into the clinical workflow because they require the lights
Externí odkaz:
http://arxiv.org/abs/2409.07094
Autor:
Seidlitz, Silvia, Sellner, Jan, Studier-Fischer, Alexander, Motta, Alessandro, Özdemir, Berkin, Müller-Stich, Beat P., Nickel, Felix, Maier-Hein, Lena
Robust semantic segmentation of intraoperative image data holds promise for enabling automatic surgical scene understanding and autonomous robotic surgery. While model development and validation are primarily conducted on idealistic scenes, geometric
Externí odkaz:
http://arxiv.org/abs/2408.15373
Autor:
Seidlitz, Silvia, Hölzl, Katharina, von Garrel, Ayca, Sellner, Jan, Katzenschlager, Stephan, Hölle, Tobias, Fischer, Dania, von der Forst, Maik, Schmitt, Felix C. F., Weigand, Markus A., Maier-Hein, Lena, Dietrich, Maximilian
With sepsis remaining a leading cause of mortality, early identification of septic patients and those at high risk of death is a challenge of high socioeconomic importance. The driving hypothesis of this study was that hyperspectral imaging (HSI) cou
Externí odkaz:
http://arxiv.org/abs/2408.09873
Autor:
Rädsch, Tim, Reinke, Annika, Weru, Vivienn, Tizabi, Minu D., Heller, Nicholas, Isensee, Fabian, Kopp-Schneider, Annette, Maier-Hein, Lena
This paper does not describe a novel method. Instead, it studies an essential foundation for reliable benchmarking and ultimately real-world application of AI-based image analysis: generating high-quality reference annotations. Previous research has
Externí odkaz:
http://arxiv.org/abs/2407.17596
Autor:
Traub, Jeremias, Bungert, Till J., Lüth, Carsten T., Baumgartner, Michael, Maier-Hein, Klaus H., Maier-Hein, Lena, Jaeger, Paul F
Selective Classification, wherein models can reject low-confidence predictions, promises reliable translation of machine-learning based classification systems to real-world scenarios such as clinical diagnostics. While current evaluation of these sys
Externí odkaz:
http://arxiv.org/abs/2407.01032
Autor:
Mais, Lisa, Hirsch, Peter, Managan, Claire, Kandarpa, Ramya, Rumberger, Josef Lorenz, Reinke, Annika, Maier-Hein, Lena, Ihrke, Gudrun, Kainmueller, Dagmar
Instance segmentation of neurons in volumetric light microscopy images of nervous systems enables groundbreaking research in neuroscience by facilitating joint functional and morphological analyses of neural circuits at cellular resolution. Yet said
Externí odkaz:
http://arxiv.org/abs/2404.00130
Autor:
Ali, Sharib, Espinel, Yamid, Jin, Yueming, Liu, Peng, Güttner, Bianca, Zhang, Xukun, Zhang, Lihua, Dowrick, Tom, Clarkson, Matthew J., Xiao, Shiting, Wu, Yifan, Yang, Yijun, Zhu, Lei, Sun, Dai, Li, Lan, Pfeiffer, Micha, Farid, Shahid, Maier-Hein, Lena, Buc, Emmanuel, Bartoli, Adrien
Augmented reality for laparoscopic liver resection is a visualisation mode that allows a surgeon to localise tumours and vessels embedded within the liver by projecting them on top of a laparoscopic image. Preoperative 3D models extracted from CT or
Externí odkaz:
http://arxiv.org/abs/2401.15753
Autor:
Adler, Tim J., Nölke, Jan-Hinrich, Reinke, Annika, Tizabi, Minu Dietlinde, Gruber, Sebastian, Trofimova, Dasha, Ardizzone, Lynton, Jaeger, Paul F., Buettner, Florian, Köthe, Ullrich, Maier-Hein, Lena
Current deep learning-based solutions for image analysis tasks are commonly incapable of handling problems to which multiple different plausible solutions exist. In response, posterior-based methods such as conditional Diffusion Models and Invertible
Externí odkaz:
http://arxiv.org/abs/2309.09764