Rezultati - Xavier Intes

Temporal Data Set Reduction Based on D-Optimality for Quantitative FLIM-FRET Imaging. od Travis Omer, Xavier Intes, Juergen Hahn

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Brain-behavior analysis of transcranial direct current stimulation effects on a complex surgical motor task od Pushpinder Walia, Yaoyu Fu, Jack Norfleet, Steven D. Schwaitzberg, Xavier Intes, Xavier Intes, Suvranu De, Lora Cavuoto, Anirban Dutta

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Quantification of Trastuzumab–HER2 Engagement In Vitro and In Vivo od Alena Rudkouskaya, Jason T. Smith, Xavier Intes, Margarida Barroso

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Ex Vivo Fluorescence Molecular Tomography of the Spine od Monish Pimpalkhare, Jin Chen, Vivek Venugopal, Xavier Intes

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Isolating subsurface fluorescence in macroscopic lifetime imaging via high-spatial-frequency structured illumination od Nanxue Yuan, Saif Ragab, Navid Nizam, Vikas Pandey, Amit Verma, Tynan Young, John Williams, Margarida Barroso, Xavier Intes

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Distinguishing Laparoscopic Surgery Experts from Novices Using EEG Topographic Features od Takahiro Manabe, F.N.U. Rahul, Yaoyu Fu, Xavier Intes, Steven D. Schwaitzberg, Suvranu De, Lora Cavuoto, Anirban Dutta

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Fluorescence Lifetime Imaging for Quantification of Targeted Drug Delivery in Varying Tumor Microenvironments od Amit Verma, Vikas Pandey, Catherine Sherry, Taylor Humphrey, Christopher James, Kailie Matteson, Jason T. Smith, Alena Rudkouskaya, Xavier Intes, Margarida Barroso

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Assessment of Surgical Tasks Using Neuroimaging Dataset (ASTaUND) od Anil Kamat, Condell Eastmond, Yuanyuan Gao, Arun Nemani, Erim Yanik, Lora Cavuoto, Matthew Hackett, Jack Norfleet, Steven Schwaitzberg, Suvranu De, Xavier Intes

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Spatial topology of organelle is a new breast cancer cell classifier od Ling Wang, Joshua Goldwag, Megan Bouyea, Jonathan Barra, Kailie Matteson, Niva Maharjan, Amina Eladdadi, Mark J. Embrechts, Xavier Intes, Uwe Kruger, Margarida Barroso

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Real-time wide-field fluorescence lifetime imaging via single-snapshot acquisition for biomedical applications od Vikas Pandey, Euan Millar, Ismail Erbas, Luis Chavez, Jack Radford, Isaiah Crosbourne, Mansa Madhusudan, Gregor G. Taylor, Nanxue Yuan, Claudio Bruschini, Stefan T. Radev, Margarida M. Barroso, Andrew Tobin, Xavier Michalet, Edoardo Charbon, Daniele Faccio, Xavier Intes

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Roadmap on deep learning for microscopy od Giovanni Volpe, Carolina Wählby, Lei Tian, Michael Hecht, Artur Yakimovich, Kristina Monakhova, Laura Waller, Ivo F Sbalzarini, Christopher A Metzler, Mingyang Xie, Kevin Zhang, Isaac C D Lenton, Halina Rubinsztein-Dunlop, Daniel Brunner, Bijie Bai, Aydogan Ozcan, Daniel Midtvedt, Hao Wang, Tongyu Li, Nataša Sladoje, Joakim Lindblad, Jason T Smith, Marien Ochoa, Margarida Barroso, Xavier Intes, Tong Qiu, Li-Yu Yu, Sixian You, Yongtao Liu, Maxim A Ziatdinov, Sergei V Kalinin, Arlo Sheridan, Uri Manor, Elias Nehme, Ofri Goldenberg, Yoav Shechtman, Henrik K Moberg, Christoph Langhammer, Barbora Špačková, Saga Helgadottir, Benjamin Midtvedt, Aykut Argun, Tobias Thalheim, Frank Cichos, Stefano Bo, Lars Hubatsch, Jesus Pineda, Carlo Manzo, Harshith Bachimanchi, Erik Selander, Antoni Homs-Corbera, Martin Fränzl, Kevin de Haan, Yair Rivenson, Zofia Korczak, Caroline Beck Adiels, Mite Mijalkov, Dániel Veréb, Yu-Wei Chang, Joana B Pereira, Damian Matuszewski, Gustaf Kylberg, Ida-Maria Sintorn, Juan C Caicedo, Beth A Cimini, Muyinatu A Lediju Bell, Bruno M Saraiva, Guillaume Jacquemet, Ricardo Henriques, Wei Ouyang, Trang Le, Estibaliz Gómez-de-Mariscal, Daniel Sage, Arrate Muñoz-Barrutia, Ebba Josefson Lindqvist, Johanna Bergman

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