Zobrazeno 1 - 10
of 370
pro vyhledávání: '"Dinh, Thu"'
Autor:
Nguyen Lan Huong, MD, Dinh Thu Hang, MD, Vu Ngoc Duong, MD, Nguyen-Thi Hai Anh, MD, Nguyen Duy Hung, MD, PhD, Bui Tien Cong, MD, PhD, Pham Minh Thong, MD, PhD, Nguyen Minh Duc, MD
Publikováno v:
Radiology Case Reports, Vol 19, Iss 10, Pp 4457-4463 (2024)
Prostatic stromal sarcoma (PSS) is a rare malignant tumor that often occurs in young people. Despite the fact that their clinical pathological characteristics are well known, our understanding of the imaging characteristics still seems to be limited.
Externí odkaz:
https://doaj.org/article/7725fd2090804499bfcb961c9150fa47
Autor:
Nguyen Ngoc Trung, MD, PhD, Dinh Thu Hang, MD, Le My Hanh, MD, Nguyen-Thi Hai Anh, MD, Nguyen Duy Hung, MD, PhD, Nguyen Minh Duc, MD
Publikováno v:
Radiology Case Reports, Vol 19, Iss 9, Pp 3776-3781 (2024)
Blunt esophageal injury is an unusual organ injury that has unclear clinical symptoms due to the overlap of thoracoabdominal trauma in the setting of multiple traumas. The treatment options vary depending on the patient's clinical symptoms, the exten
Externí odkaz:
https://doaj.org/article/628e19e82204487aacfbffe8bf1ad5bf
Autor:
Andriesse, Edo, Dinh, Thu L.T., Kittitornkool, Jawanit, Kodir, Abdul, Kongkaew, Chaturong, Markphol, Adirake, Pham, Quynh T.N., Sumadio, Widyawati
Publikováno v:
In World Development January 2025 185
Autor:
Ribeiro, Felipe A., Lau, Soon K., Furbeck, Rebecca A., Herrera, Nicolas J., Henriott, Morgan L., Bland, Nicolas A., Fernando, Samodha C., Subbiah, Jeyamkondan, Pflanzer, Sérgio B., Dinh, Thu T., Miller, Rhonda K., Sullivan, Gary A., Calkins, Chris R.
Publikováno v:
In Meat Science July 2024 213
Autor:
Cai, Jiaxu, Lu, Yuzhen, Olaniyi, Ebenezer, Wang, Shangshang, Dahlgren, Chelsie, Devost-Burnett, Derris, Dinh, Thu
Publikováno v:
In Journal of Food Engineering May 2024 369
Publikováno v:
BMJ Open, Vol 14, Iss Suppl 1 (2024)
Externí odkaz:
https://doaj.org/article/9fc4170fda954edd9e71da48a8e4ffbe
Autor:
Ghamari, Sedigh, Ozcan, Koray, Dinh, Thu, Melnikov, Andrey, Carvajal, Juan, Ernst, Jan, Chai, Sek
We propose a Quantization Guided Training (QGT) method to guide DNN training towards optimized low-bit-precision targets and reach extreme compression levels below 8-bit precision. Unlike standard quantization-aware training (QAT) approaches, QGT use
Externí odkaz:
http://arxiv.org/abs/2103.06231
Quantization for deep neural networks (DNN) have enabled developers to deploy models with less memory and more efficient low-power inference. However, not all DNN designs are friendly to quantization. For example, the popular Mobilenet architecture h
Externí odkaz:
http://arxiv.org/abs/2011.08009
Autor:
Lakin, Kimberly, Ha, Dinh Thu, Mirzoev, Tolib, Ha, Bui Thi Thu, Agyepong, Irene Akua, Kane, Sumit
Publikováno v:
In Health and Place January 2024 85
Deep neural nets (DNNs) compression is crucial for adaptation to mobile devices. Though many successful algorithms exist to compress naturally trained DNNs, developing efficient and stable compression algorithms for robustly trained DNNs remains wide
Externí odkaz:
http://arxiv.org/abs/2003.00631