Zobrazeno 1 - 10
of 12 451
pro vyhledávání: '"Noel, C"'
Autor:
Codella, Noel C. F., Jin, Ying, Jain, Shrey, Gu, Yu, Lee, Ho Hin, Abacha, Asma Ben, Santamaria-Pang, Alberto, Guyman, Will, Sangani, Naiteek, Zhang, Sheng, Poon, Hoifung, Hyland, Stephanie, Bannur, Shruthi, Alvarez-Valle, Javier, Li, Xue, Garrett, John, McMillan, Alan, Rajguru, Gaurav, Maddi, Madhu, Vijayrania, Nilesh, Bhimai, Rehaan, Mecklenburg, Nick, Jain, Rupal, Holstein, Daniel, Gaur, Naveen, Aski, Vijay, Hwang, Jenq-Neng, Lin, Thomas, Tarapov, Ivan, Lungren, Matthew, Wei, Mu
In this work, we present MedImageInsight, an open-source medical imaging embedding model. MedImageInsight is trained on medical images with associated text and labels across a diverse collection of domains, including X-Ray, CT, MRI, dermoscopy, OCT,
Externí odkaz:
http://arxiv.org/abs/2410.06542
Autor:
Schwennicke, Kai, Koner, Arghadip, Pérez-Sánchez, Juan B., Xiong, Wei, Giebink, Noel C., Weichman, Marissa L., Yuen-Zhou, Joel
This perspective outlines several linear optical effects featured by molecular polaritons arising in the collective strong light-matter coupling regime, focusing on the limit when the number of molecules per photon mode is large. We show that, under
Externí odkaz:
http://arxiv.org/abs/2408.05036
Autor:
Bannur, Shruthi, Bouzid, Kenza, Castro, Daniel C., Schwaighofer, Anton, Thieme, Anja, Bond-Taylor, Sam, Ilse, Maximilian, Pérez-García, Fernando, Salvatelli, Valentina, Sharma, Harshita, Meissen, Felix, Ranjit, Mercy, Srivastav, Shaury, Gong, Julia, Codella, Noel C. F., Falck, Fabian, Oktay, Ozan, Lungren, Matthew P., Wetscherek, Maria Teodora, Alvarez-Valle, Javier, Hyland, Stephanie L.
Radiology reporting is a complex task requiring detailed medical image understanding and precise language generation, for which generative multimodal models offer a promising solution. However, to impact clinical practice, models must achieve a high
Externí odkaz:
http://arxiv.org/abs/2406.04449
Autor:
Sterk, J. D., Blain, M. G., Delaney, M., Haltli, R., Heller, E., Holterhoff, A. L., Jennings, T., Jimenez, N., Kozhanov, A., Meinelt, Z., Ou, E., Van Der Wall, J., Noel, C., Stick, D.
Surface ion traps with two-dimensional layouts of trapping regions are natural architectures for storing large numbers of ions and supporting the connectivity needed to implement quantum algorithms. Many of the components and operations needed to ful
Externí odkaz:
http://arxiv.org/abs/2403.00208
The vacuum Rabi splitting (VRS) in molecular polaritons stands as a fundamental measure of collective light-matter coupling. Despite its significance, the impact of molecular disorder on VRS is not fully understood yet. This study delves into the com
Externí odkaz:
http://arxiv.org/abs/2401.13184
Autor:
Koch, Noel C.
Publikováno v:
Vital Speeches of the Day. 10/1/85, Vol. 51 Issue 24, p761-765. 5p.
Autor:
Koch, Noel C.1
Publikováno v:
Vital Speeches of the Day. 5/1/85, Vol. 51 Issue 14, p431-434. 4p.
Autor:
Abacha, Asma Ben, Santamaria-Pang, Alberto, Lee, Ho Hin, Merkow, Jameson, Cai, Qin, Devarakonda, Surya Teja, Islam, Abdullah, Gong, Julia, Lungren, Matthew P., Lin, Thomas, Codella, Noel C, Tarapov, Ivan
The increasing use of medical imaging in healthcare settings presents a significant challenge due to the increasing workload for radiologists, yet it also offers opportunity for enhancing healthcare outcomes if effectively leveraged. 3D image retriev
Externí odkaz:
http://arxiv.org/abs/2311.13752
Publikováno v:
Phys. Rev. Research 6, 013222, 2024
We present a powerful formalism, disordered collective dynamics using truncated equations (d-CUT-E), to simulate the ultrafast quantum dynamics of molecular polaritons in the collective strong coupling regime, where a disordered ensemble of $N\gg10^{
Externí odkaz:
http://arxiv.org/abs/2308.03954
Autor:
Carlos Hernández-Pérez, Marc Combalia, Sebastian Podlipnik, Noel C. F. Codella, Veronica Rotemberg, Allan C. Halpern, Ofer Reiter, Cristina Carrera, Alicia Barreiro, Brian Helba, Susana Puig, Veronica Vilaplana, Josep Malvehy
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-9 (2024)
Abstract Advancements in dermatological artificial intelligence research require high-quality and comprehensive datasets that mirror real-world clinical scenarios. We introduce a collection of 18,946 dermoscopic images spanning from 2010 to 2016, col
Externí odkaz:
https://doaj.org/article/b665849eb0f243a2a69fd746dd408ed9