Zobrazeno 1 - 10
of 1 064
pro vyhledávání: '"Intes, A."'
Autor:
Erbas, Ismail, Pandey, Vikas, Nizam, Navid Ibtehaj, Yuan, Nanxue, Verma, Amit, Barosso, Margarida, Intes, Xavier
Fluorescence Lifetime Imaging (FLI) is a critical molecular imaging modality that provides unique information about the tissue microenvironment, which is invaluable for biomedical applications. FLI operates by acquiring and analyzing photon time-of-a
Externí odkaz:
http://arxiv.org/abs/2411.16896
Multimodal imaging has shown great potential in cancer research by concurrently providing anatomical, functional, and molecular information in live, intact animals. During preclinical imaging of small animals like mice, anesthesia is required to prev
Externí odkaz:
http://arxiv.org/abs/2410.07517
Autor:
Erbas, Ismail, Amarnath, Aporva, Pandey, Vikas, Swaminathan, Karthik, Wang, Naigang, Intes, Xavier
Fluorescence lifetime imaging (FLI) is a widely used technique in the biomedical field for measuring the decay times of fluorescent molecules, providing insights into metabolic states, protein interactions, and ligand-receptor bindings. However, its
Externí odkaz:
http://arxiv.org/abs/2410.07364
Autor:
Erbas, Ismail, Pandey, Vikas, Amarnath, Aporva, Wang, Naigang, Swaminathan, Karthik, Radev, Stefan T., Intes, Xavier
Fluorescence lifetime imaging (FLI) is an important technique for studying cellular environments and molecular interactions, but its real-time application is limited by slow data acquisition, which requires capturing large time-resolved images and co
Externí odkaz:
http://arxiv.org/abs/2410.00948
Accurate assessment of bimanual motor skills is essential across various professions, yet, traditional methods often rely on subjective assessments or focus solely on motor actions, overlooking the integral role of cognitive processes. This study int
Externí odkaz:
http://arxiv.org/abs/2404.10889
Autor:
Volpe, Giovanni, Wählby, Carolina, Tian, Lei, Hecht, Michael, Yakimovich, Artur, Monakhova, Kristina, Waller, Laura, Sbalzarini, Ivo F., Metzler, Christopher A., Xie, Mingyang, Zhang, Kevin, Lenton, Isaac C. D., Rubinsztein-Dunlop, Halina, Brunner, Daniel, Bai, Bijie, Ozcan, Aydogan, Midtvedt, Daniel, Wang, Hao, Sladoje, Nataša, Lindblad, Joakim, Smith, Jason T., Ochoa, Marien, Barroso, Margarida, Intes, Xavier, Qiu, Tong, Yu, Li-Yu, You, Sixian, Liu, Yongtao, Ziatdinov, Maxim A., Kalinin, Sergei V., Sheridan, Arlo, Manor, Uri, Nehme, Elias, Goldenberg, Ofri, Shechtman, Yoav, Moberg, Henrik K., Langhammer, Christoph, Špačková, Barbora, Helgadottir, Saga, Midtvedt, Benjamin, Argun, Aykut, Thalheim, Tobias, Cichos, Frank, Bo, Stefano, Hubatsch, Lars, Pineda, Jesus, Manzo, Carlo, Bachimanchi, Harshith, Selander, Erik, Homs-Corbera, Antoni, Fränzl, Martin, de Haan, Kevin, Rivenson, Yair, Korczak, Zofia, Adiels, Caroline Beck, Mijalkov, Mite, Veréb, Dániel, Chang, Yu-Wei, Pereira, Joana B., Matuszewski, Damian, Kylberg, Gustaf, Sintorn, Ida-Maria, Caicedo, Juan C., Cimini, Beth A, Bell, Muyinatu A. Lediju, Saraiva, Bruno M., Jacquemet, Guillaume, Henriques, Ricardo, Ouyang, Wei, Le, Trang, Gómez-de-Mariscal, Estibaliz, Sage, Daniel, Muñoz-Barrutia, Arrate, Lindqvist, Ebba Josefson, Bergman, Johanna
Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasing resolution and throughput. Artificial intelligence, deep neural netw
Externí odkaz:
http://arxiv.org/abs/2303.03793
Autor:
Yanik, Erim, Schwaitzberg, Steven, Yang, Gene, Intes, Xavier, Norfleet, Jack, Hackett, Matthew, De, Suvranu
Deep Learning (DL) has achieved robust competency assessment in various high-stakes fields. However, the applicability of DL models is often hampered by their substantial data requirements and confinement to specific training domains. This prevents t
Externí odkaz:
http://arxiv.org/abs/2301.00812
To ensure satisfactory clinical outcomes, surgical skill assessment must be objective, time-efficient, and preferentially automated - none of which is currently achievable. Video-based assessment (VBA) is being deployed in intraoperative and simulati
Externí odkaz:
http://arxiv.org/abs/2203.09589
Significance: Optical neuroimaging has become a well-established clinical and research tool to monitor cortical activations in the human brain. It is notable that outcomes of functional Near-InfraRed Spectroscopy (fNIRS) studies depend heavily on the
Externí odkaz:
http://arxiv.org/abs/2201.13371
Autor:
Yanik, Erim, Schwaitzberg, Steven, Yang, Gene, Intes, Xavier, Norfleet, Jack, Hackett, Matthew, De, Suvranu
Publikováno v:
In Computers in Biology and Medicine May 2024 174
