23 citations · 37 across the 6 of their papers we have counts for
6 papers
VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs
Hieu T. Nguyen, Hieu H. Pham, Nghia T. Nguyen +4
Radiographs are used as the most important imaging tool for identifying spine anomalies in clinical practice. The evaluation of spinal bone lesions, however, is a challenging task…
Detecting Burnscar from Hyperspectral Imagery via Sparse Representation with Low-Rank Interference
Minh Dao, Xiang Xiang, Bulent Ayhan +2
In this paper, we propose a burnscar detection model for hyperspectral imaging (HSI) data. The proposed model contains two-processing steps in which the first step separate and the…
Multi-task Image Classification via Collaborative, Hierarchical Spike-and-Slab Priors
Hojjat Seyed Mousavi, Umamahesh Srinivas, Vishal Monga +3
Promising results have been achieved in image classification problems by exploiting the discriminative power of sparse representations for classification (SRC). Recently, it has be…
Collaborative Multi-sensor Classification via Sparsity-based Representation
Minh Dao, Nam H. Nguyen, Nasser M. Nasrabadi +1
In this paper, we propose a general collaborative sparse representation framework for multi-sensor classification, which takes into account the correlations as well as complementar…
Hierarchical Sparse and Collaborative Low-Rank Representation for Emotion Recognition
Xiang Xiang, Minh Dao, Gregory D. Hager +1
In this paper, we design a Collaborative-Hierarchical Sparse and Low-Rank (C-HiSLR) model that is natural for recognizing human emotion in visual data. Previous attempts require ex…
Structured Dictionary Learning for Classification
Yuanming Suo, Minh Dao, Umamahesh Srinivas +2
Sparsity driven signal processing has gained tremendous popularity in the last decade. At its core, the assumption is that the signal of interest is sparse with respect to either a…