Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Raymond Chiu"'
Autor:
Kenneth Siu-Sing Leung, Kingsley King-Gee Tam, Timothy Ting-Leung Ng, Hiu-Yin Lao, Raymond Chiu-Man Shek, Oliver Chiu Kit Ma, Shi-Hui Yu, Jing-Xian Chen, Qi Han, Gilman Kit-Hang Siu, Wing-Cheong Yam
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
An in-house-developed target amplicon sequencing by next-generation sequencing technology (TB-NGS) enables simultaneous detection of resistance-related mutations in Mycobacterium tuberculosis (MTB) against 8 anti-tuberculosis drug classes. In this mu
Externí odkaz:
https://doaj.org/article/6efecdc1def946778444523c01ef14b7
Publikováno v:
Case Reports in Oncology, Vol 11, Iss 2, Pp 268-275 (2018)
Urethral cancer (UC) is a rare malignancy with a poor prognosis. Since local recurrence is common and associated with morbidity, case series have reported on the use of adjuvant radiotherapy. Radiotherapy treatment setup for malignancies of the penis
Externí odkaz:
https://doaj.org/article/f83128f1412b4d0f9e2553f14d3976b0
Akademický článek
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Autor:
Shantanu Shahane, Erman Guleryuz, Diab W. Abueidda, Allen Lee, Joe Liu, Xin Yu, Raymond Chiu, Seid Koric, Narayana R. Aluru, Placid M. Ferreira
Publikováno v:
Computers & Structures. 270:106843
Surrogate neural network-based models have been lately trained and used in a variety of science and engineering applications where the number of evaluations of a target function is limited by execution time. In cell phone camera systems, various erro
Publikováno v:
Case Reports in Oncology, Vol 11, Iss 2, Pp 268-275 (2018)
Case Reports in Oncology
Case Reports in Oncology
Urethral cancer (UC) is a rare malignancy with a poor prognosis. Since local recurrence is common and associated with morbidity, case series have reported on the use of adjuvant radiotherapy. Radiotherapy treatment setup for malignancies of the penis
Autor:
Leslie K. Ballas, Amar U. Kishan, Raymond Chiu, Igor Shuryak, Shamim Jhimlee, Monish Aron, Andre Luis de Castro Abreu, Susan Groshen, Chunqiao Luo, Tanya B. Dorff, Richard L. Jennelle, E. Chung, David I. Quinn
Publikováno v:
Int J Radiat Oncol Biol Phys
Purpose The primary objective was to evaluate the maximum tolerated dose (within 10 weeks after treatment) associated with increasing hypofractionation to the prostate fossa (PF). We hypothesized that escalating the dose per fraction (fx) to the PF w
Autor:
Andrew Bitar, Josh Fender, Andrew Ling, Suchit Subhaschandra, David Han, Gordon Raymond Chiu, Roberto DiCecco, Shane O'Connell, Mohamed S. Abdelfattah, Dmitry Denisenko, Chris N. Johnson
Publikováno v:
HEART
Deep learning has become a key workload in the data centre and edge leading to an arms race for compute dominance in this space. FPGAs have shown they can compete by combining deterministic low-latency with high throughput and flexibility. In particu
Publikováno v:
ISPD
Deep learning inference has become the key workload to accelerate in our AI-powered world. FPGAs are an ideal platform for the acceleration of deep learning inference by combining low-latency performance, power-efficiency, and flexibility. This paper
Autor:
Roberto DiCecco, David Han, Ian Prins, Mohamed S. Abdelfattah, Gordon Raymond Chiu, Nitika Shanker, Joseph Chu, Andrew Ling, Joshua David Fender, Shane O'Connell, Andrew Bitar
Publikováno v:
FPL
Overlays have shown significant promise for field-programmable gate-arrays (FPGAs) as they allow for fast development cycles and remove many of the challenges of the traditional FPGA hardware design flow. However, this often comes with a significant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98620a817a2aa73ab54221c70ea74308
Publikováno v:
Adult CNS Radiation Oncology ISBN: 9783319428772
Central nervous system treatment planning has been evolving as new technology and research are being released. Traditional treatment methods, such as three-dimensional conformal radiotherapy (3D-CRT), are slowly being replaced by newer techniques, su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23e8107c1a79fd0728b1b67396eafceb
https://doi.org/10.1007/978-3-319-42878-9_43
https://doi.org/10.1007/978-3-319-42878-9_43