no code implementations • 29 Sep 2023 • Pavel Sinha, Ioannis Psaromiligkos, Zeljko Zilic
We propose an automatic segmentation method for lumen and media with irregular contours in IntraVascular ultra-sound (IVUS) images.
no code implementations • 29 Jun 2023 • Pavel Sinha, Ioannis Psaromiligkos, Zeljko Zilic
Our proposed CNN architecture is fully compatible with the end-to-end learning mechanism of typical CNN architectures and learns the subband decomposition from the input dataset.
no code implementations • 2 Mar 2021 • Pavel Sinha, Ioannis Psaromiligkos, Zeljko Zilic
We propose a convolutional neural network (CNN) architecture for image classification based on subband decomposition of the image using wavelets.
2 code implementations • 13 Sep 2019 • Jianing Sun, Katarzyna Radecka, Zeljko Zilic
We present a mobile application made to recognize food items of multi-object meal from a single image in real-time, and then return the nutrition facts with components and approximate amounts.