Zobrazeno 1 - 10
of 174
pro vyhledávání: '"Kevin Rhee"'
Autor:
Young Suk Kwon, Nicholas Farber, Ji Woong Yu, Kevin Rhee, Christopher Han, Patrick Ney, Jeong Hee Hong, Paul Lee, Nikhil Gupta, Wun-Jae Kim, Isaac Yi Kim
Publikováno v:
BMC Urology, Vol 18, Iss 1, Pp 1-8 (2018)
Abstract Background Penile length (PL) shortening is an underreported phenomenon following radical prostatectomy (RP) and risk factors are not fully explored. We aimed to describe longitudinal patterns of PL recovery and evaluate factors predicting c
Externí odkaz:
https://doaj.org/article/d71beab2fc984a2d98e2abd57ac315e3
Autor:
Grit S. Herter-Sprie, Houari Korideck, Camilla L. Christensen, Jan M. Herter, Kevin Rhee, Ross I. Berbeco, David G. Bennett, Esra A. Akbay, David Kozono, Raymond H. Mak, G. Mike Makrigiorgos, Alec C. Kimmelman, Kwok-Kin Wong
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-2 (2020)
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Externí odkaz:
https://doaj.org/article/30aad69963814b45996b2c9b1837531c
Autor:
Brian M. Shinder, Kevin Rhee, Douglas Farrell, Nicholas J. Farber, Mark N. Stein, Thomas L. Jang, Eric A. Singer
Publikováno v:
Frontiers in Oncology, Vol 7 (2017)
The past decade has seen a rapid proliferation in the number and types of systemic therapies available for renal cell carcinoma. However, surgery remains an integral component of the therapeutic armamentarium for advanced and metastatic kidney cancer
Externí odkaz:
https://doaj.org/article/187838f69ce748f8bb95ee2132d451e8
Autor:
Hocheol Lim, Doo Hyung Kang, Jeonghoon Kim, Aidan Pellow-Jarman, Shane McFarthing, Rowan Pellow-Jarman, Hyeon-Nae Jeon, Byungdu Oh, June-Koo Kevin Rhee, Kyoung Tai No
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Quantum computers offer significant potential for complex system analysis, yet their application in large systems is hindered by limitations such as qubit availability and quantum hardware noise. While the variational quantum eigensolver (VQ
Externí odkaz:
https://doaj.org/article/dfd166ae7f7e4143acc2967d81ac3730
Autor:
Luning Zhao, Joshua Goings, Kyujin Shin, Woomin Kyoung, Johanna I. Fuks, June-Koo Kevin Rhee, Young Min Rhee, Kenneth Wright, Jason Nguyen, Jungsang Kim, Sonika Johri
Publikováno v:
npj Quantum Information, Vol 9, Iss 1, Pp 1-9 (2023)
Abstract Variational quantum eigensolvers (VQE) are among the most promising approaches for solving electronic structure problems on near-term quantum computers. A critical challenge for VQE in practice is that one needs to strike a balance between t
Externí odkaz:
https://doaj.org/article/05584fbbae6241d88e2350fe69b6ac99
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract A kernel-based quantum classifier is the most practical and influential quantum machine learning technique for the hyper-linear classification of complex data. We propose a Variational Quantum Approximate Support Vector Machine (VQASVM) algo
Externí odkaz:
https://doaj.org/article/db6bdd6e9da44f36920e9feb1a7cbcf6
Autor:
Jin-Woo Kim, Jeong-Sik Cho, Christian Sacarelo, Nur Duwi Fat Fitri, Ju-Seong Hwang, June-Koo Kevin Rhee
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract We propose a photon-counting-statistics-based imaging process for quantum imaging where background photon noise can be distinguished and eliminated by photon mode estimation from the multi-mode Bose–Einstein distribution. Photon-counting s
Externí odkaz:
https://doaj.org/article/2f07978367e6472a99523050e8749379
Publikováno v:
Materials, Vol 16, Iss 12, p 4300 (2023)
Inspired by classical graph neural networks, we discuss a novel quantum graph neural network (QGNN) model to predict the chemical and physical properties of molecules and materials. QGNNs were investigated to predict the energy gap between the highes
Externí odkaz:
https://doaj.org/article/a93a7cfb7a3e46e08a1172961b496789
Autor:
Peter S. Hammerman, Kwok-Kin Wong, Richard A. Young, Nathanael S. Gray, Hideo Watanabe, Adam J. Bass, Matthew Meyerson, Takeshi Shimamura, Li Tan, Tenny Mudianto, Michael Silkes, Neermala Poudel-Neupane, Sook-Hee Hong, Tae-Jung Kim, Tinghu Zhang, Yichen Wang, Tianxia Li, Alan L. Leggett, Tiffany Tavares, Hideki Terai, Wankun Chen, Haikuo Zhang, Kevin Rhee, Shuai Li, Ting Chen, Bruno Bockorny, Kevin A. Buczkowski, Nicholas Kwiatkowski, Brian J. Abraham, Camilla L. Christensen, Yvonne Li, Kapsok Li, Maria Rusan
Supplementary Figures 1-10 and corresponding legends
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79dc8837ec3b000f674813205736cf1c
https://doi.org/10.1158/2159-8290.22533643
https://doi.org/10.1158/2159-8290.22533643
Autor:
Kwok-Kin Wong, Peter S. Hammerman, Matthew Meyerson, Lynette M. Sholl, Roderick T. Bronson, Rachel G. Liao, Kevin Rhee, Eiki Kikuchi, Oliver R. Mikse, Abigail Altabef, Esra A. Akbay, Jeremy H. Tchaicha
Somatic mutations in FGFR2 are present in 4% to 5% of patients diagnosed with non–small cell lung cancer (NSCLC). Amplification and mutations in FGFR genes have been identified in patients with NSCLCs, and clinical trials are testing the efficacy o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b37e72a8b34f183bd1555e3b37e4dac7
https://doi.org/10.1158/0008-5472.c.6505853
https://doi.org/10.1158/0008-5472.c.6505853