1 code implementation • 11 Nov 2023 • Huynh T. T. Tran, Hieu T. Nguyen
In recent years, scientific machine learning, particularly physic-informed neural networks (PINNs), has introduced new innovative methods to understanding the differential equations that describe power system dynamics, providing a more efficient alternative to traditional methods.
no code implementations • 3 Nov 2023 • Tuyen P. Le, Hieu T. Nguyen, Seungyeol Baek, Taeyoun Kim, Jungwoo Lee, Seongjung Kim, HyunJin Kim, Misu Jung, Daehoon Kim, Seokyong Lee, Daewoo Choi
Macro placement is a critical phase in chip design, which becomes more intricate when involving general rectilinear macros and layout areas.
no code implementations • 16 Oct 2023 • Chengguang Xu, Hieu T. Nguyen, Christopher Amato, Lawson L. S. Wong
Directly transferring SOTA navigation policies trained in simulation to the real world is challenging due to the visual domain gap and the absence of prior knowledge about unseen environments.
no code implementations • 1 Apr 2023 • Hieu H. Pham, Ha Q. Nguyen, Hieu T. Nguyen, Linh T. Le, Khanh Lam
We conducted a prospective study to measure the clinical impact of an explainable machine learning system on interobserver agreement in chest radiograph interpretation.
no code implementations • 19 Feb 2023 • Huynh Trung Thanh Tran, Hieu T. Nguyen, Long T. Vu, Samuel T. Ojetola
Power system dynamics are generally modeled by high dimensional nonlinear differential-algebraic equations (DAEs) given a large number of components forming the network.
no code implementations • 6 Feb 2023 • Anh Phuong Ngo, Nhat Le, Hieu T. Nguyen, Abdullah Eroglu, Duong T. Nguyen
Given the high power density low discharge rate and decreasing cost rechargeable lithium-ion batteries LiBs have found a wide range of applications such as power grid level storage systems electric vehicles and mobile devices.
no code implementations • 16 Jan 2023 • Nhat Le, Alexis Plasencia Leos, Juan Henriquez, Anh Phuong Ngo, Hieu T. Nguyen
During the COVID-19 pandemic, the U. S. power sector witnessed remarkable electricity demand changes in many geographical regions.
no code implementations • 6 Aug 2022 • Hieu H. Pham, Ha Q. Nguyen, Hieu T. Nguyen, Linh T. Le, Lam Khanh
For the localization task with 14 types of lesions, our free-response receiver operating characteristic (FROC) analysis showed that the VinDr-CXR achieved a sensitivity of 80. 2% at the rate of 1. 0 false-positive lesion identified per scan.
no code implementations • MIDL 2019 • Dat T. Ngo, Thao T. B. Nguyen, Hieu T. Nguyen, Dung B. Nguyen, Ha Q. Nguyen, Hieu H. Pham
In particular, deep convolutional neural networks (D-CNNs) have been key players and were adopted by the medical imaging community to assist clinicians and medical experts in disease diagnosis and treatment.
1 code implementation • 20 Mar 2022 • Hieu T. Nguyen, Ha Q. Nguyen, Hieu H. Pham, Khanh Lam, Linh T. Le, Minh Dao, Van Vu
Mammography, or breast X-ray, is the most widely used imaging modality to detect cancer and other breast diseases.
1 code implementation • 20 Mar 2022 • Khiem H. Le, Tuan V. Tran, Hieu H. Pham, Hieu T. Nguyen, Tung T. Le, Ha Q. Nguyen
As a result, the labeled data may contain a variety of human biases with a high rate of disagreement among annotators, which significantly affect the performance of supervised machine learning algorithms.
no code implementations • 14 Aug 2021 • Thanh T. Tran, Hieu H. Pham, Thang V. Nguyen, Tung T. Le, Hieu T. Nguyen, Ha Q. Nguyen
Chest radiograph (CXR) interpretation in pediatric patients is error-prone and requires a high level of understanding of radiologic expertise.
1 code implementation • 24 Jun 2021 • Hieu T. Nguyen, Hieu H. Pham, Nghia T. Nguyen, Ha Q. Nguyen, Thang Q. Huynh, Minh Dao, Van Vu
It demonstrates an area under the receiver operating characteristic curve (AUROC) of 88. 61% (95% CI 87. 19%, 90. 02%) for the image-level classification task and a mean average precision (mAP@0. 5) of 33. 56% for the lesion-level localization task.
no code implementations • 25 Sep 2020 • Hieu T. Nguyen, Tung T. Le, Thang V. Nguyen, Nhan T. Nguyen
Brain tumor segmentation plays an essential role in medical image analysis.