56 citations · 57 across the 2 of their papers we have counts for
4 papers
Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images
Manohar Karki, Junghwan Cho, Seokhwan Ko
Data augmentation can effectively resolve a scarcity of images when training machine-learning algorithms. It can make them more robust to unseen images. We present a lesion conditi…
DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification
Qun Liu, Saikat Basu, Sangram Ganguly +4
Satellite image classification is a challenging problem that lies at the crossroads of remote sensing, computer vision, and machine learning. Due to the high variability inherent i…
Pixel-level Reconstruction and Classification for Noisy Handwritten Bangla Characters
Manohar Karki, Qun Liu, Robert DiBiano +2
Classification techniques for images of handwritten characters are susceptible to noise. Quadtrees can be an efficient representation for learning from sparse features. In this pap…
A Theoretical Analysis of Deep Neural Networks for Texture Classification
Saikat Basu, Manohar Karki, Robert DiBiano +4
We investigate the use of Deep Neural Networks for the classification of image datasets where texture features are important for generating class-conditional discriminative represe…