4 citations · 6 across the 4 of their papers we have counts for
4 papers
Joint ANN-SNN Co-training for Object Localization and Image Segmentation
Marc Baltes, Nidal Abujahar, Ye Yue +2
The field of machine learning has been greatly transformed with the advancement of deep artificial neural networks (ANNs) and the increased availability of annotated data. Spiking…
Hybrid Spiking Neural Network Fine-tuning for Hippocampus Segmentation
Ye Yue, Marc Baltes, Nidal Abujahar +4
Over the past decade, artificial neural networks (ANNs) have made tremendous advances, in part due to the increased availability of annotated data. However, ANNs typically require…
Individualized Conditioning and Negative Distances for Speaker Separation
Tao Sun, Nidal Abuhajar, Shuyu Gong +5
Speaker separation aims to extract multiple voices from a mixed signal. In this paper, we propose two speaker-aware designs to improve the existing speaker separation solutions. Th…
A Comparative Study on 1.5T-3T MRI Conversion through Deep Neural Network Models
Binhua Liao, Yani Chen, Zhewei Wang +2
In this paper, we explore the capabilities of a number of deep neural network models in generating whole-brain 3T-like MR images from clinical 1.5T MRIs. The models include a fully…