Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Kham, Nguyen"'
Autor:
Susan L. McGovern, Dershan Luo, Jason Johnson, Kham Nguyen, Jing Li, Mary Frances McAleer, Debra Yeboa, David R. Grosshans, Amol J. Ghia, Caroline Chung, Andrew J. Bishop, Juhee Song, Peter F. Thall, Paul D. Brown, Anita Mahajan
Publikováno v:
Practical radiation oncology.
Dose constraints for reirradiation of recurrent primary brain tumors are not well-established. This study was conducted to prospectively evaluate composite dose constraints for conventionally-fractionated brain reirradiation.A single-institution, pro
Autor:
Amol J. Ghia, Dershan Luo, Mary Frances McAleer, David R. Grosshans, Susan L. McGovern, Caroline Chung, Peter F. Thall, Paul D. Brown, Anita Mahajan, Michael Johnson, Debra Nana Yeboa, Kham Nguyen, Erik P. Sulman, Jing Li
Publikováno v:
Neuro Oncol
PURPOSE/OBJECTIVE Dose constraints for re-irradiation of recurrent primary brain tumors are not well-established, especially for treatment volumes too large for stereotactic radiotherapy. This prospective trial was performed to test dose constraints
Autor:
Kham Nguyen, John Garcia, David Cummings, Jordan Sutton, Congjun Wang, Kathleen Morris, Vincent C. Lanza
Publikováno v:
Medical Dosimetry. 38:225-232
The purpose of this study was to evaluate the differences between volumetric modulated arc therapy (VMAT) and intensity-modulated radiation therapy (IMRT) in the treatment of nasal cavity carcinomas. The treatment of 10 patients, who had completed IM
Autor:
Kham, Nguyen Khac
Publikováno v:
Indian Literature, 1959 Oct 01. 3(1), 23-27.
Externí odkaz:
https://www.jstor.org/stable/23329656
Publikováno v:
PDA journal of pharmaceutical science and technology. 69(4)
New recommendations for the validation of rapid microbiological methods have been included in the revised Technical Report 33 release from the PDA. The changes include a more comprehensive review of the statistical methods to be used to analyze data
Publikováno v:
ICASSP
In this paper, we present a method to extract probabilistic acoustic features by using the Adaptive Boosting algorithm (AdaBoost). We build phoneme Gaussian mixture classifiers, and use AdaBoost to enhance the classification performance. The outputs
Publikováno v:
ICASSP
We show the progress for Arabic speech recognition by incorporating contextual information into the process of morphological decomposition. The new approach achieves lower out-of-vocabulary and word error rates when compared to our previous work, in
Publikováno v:
ICASSP
In this paper, we describe the BBN 2007 Mandarin speech-to-text system developed for the GALE Evaluation 2007. In comparison to the BBN 2006 Mandarin system, we achieved 25% relative reduction in character error rate on the most important test sets.
Publikováno v:
ICASSP (4)
This paper presents a set of experiments that we conducted in order to optimize the performance of an Arabic/English machine translation system on broadcast news and conversational speech data. Proper integration of speech-to-text (STT) and machine t