29 citations · 44 across the 18 of their papers we have counts for
6 papers · 1 filter
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices
Dat T. Ngo, Thao T. B. Nguyen, Hieu T. Nguyen +3
The rapid development in representation learning techniques such as deep neural networks and the availability of large-scale, well-annotated medical imaging datasets have to a rapi…
Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network
Lam Pham, Khoa Tran, Dat Ngo +2
The task of remote sensing image scene classification (RSISC), which aims at classifying remote sensing images into groups of semantic categories based on their contents, has taken…
Low-complexity deep learning frameworks for acoustic scene classification
Lam Pham, Dat Ngo, Anahid Jalali +1
In this report, we presents low-complexity deep learning frameworks for acoustic scene classification (ASC). The proposed frameworks can be separated into four main steps: Front-en…
Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices
Lam Pham, Khoa Dinh, Dat Ngo +2
In this paper, we present a robust and low complexity system for Acoustic Scene Classification (ASC), the task of identifying the scene of an audio recording. We first construct an…
Audio-Based Deep Learning Frameworks for Detecting COVID-19
Dat Ngo, Lam Pham, Truong Hoang +2
This paper evaluates a wide range of audio-based deep learning frameworks applied to the breathing, cough, and speech sounds for detecting COVID-19. In general, the audio recording…
An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies
Lam Pham, Dat Ngo, Truong Hoang +2
In this paper, we evaluate various deep learning frameworks for detecting respiratory anomalies from input audio recordings. To this end, we firstly transform audio respiratory cyc…