58 citations · 258 across the 21 of their papers we have counts for
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Parkinson's Disease Detection with Ensemble Architectures based on ILSVRC Models
Tahjid Ashfaque Mostafa, Irene Cheng
In this work, we explore various neural network architectures using Magnetic Resonance (MR) T1 images of the brain to identify Parkinson's Disease (PD), which is one of the most co…
Parkinson's Disease Detection Using Ensemble Architecture from MR Images
Tahjid Ashfaque Mostafa, Irene Cheng
Parkinson's Disease(PD) is one of the major nervous system disorders that affect people over 60. PD can cause cognitive impairments. In this work, we explore various approaches to…
Adaptive Dithering Using Curved Markov-Gaussian Noise in the Quantized Domain for Mapping SDR to HDR Image
Subhayan Mukherjee, Guan-Ming Su, Irene Cheng
High Dynamic Range (HDR) imaging is gaining increased attention due to its realistic content, for not only regular displays but also smartphones. Before sufficient HDR content is d…
CNN-Based Real-Time Parameter Tuning for Optimizing Denoising Filter Performance
Subhayan Mukherjee, Navaneeth Kamballur Kottayil, Xinyao Sun +1
We propose a novel direction to improve the denoising quality of filtering-based denoising algorithms in real time by predicting the best filter parameter value using a Convolution…
CNN-based InSAR Coherence Classification
Subhayan Mukherjee, Aaron Zimmer, Xinyao Sun +2
Interferometric Synthetic Aperture Radar (InSAR) imagery based on microwaves reflected off ground targets is becoming increasingly important in remote sensing for ground movement e…
CNN-based InSAR Denoising and Coherence Metric
Subhayan Mukherjee, Aaron Zimmer, Navaneeth Kamballur Kottayil +3
Interferometric Synthetic Aperture Radar (InSAR) imagery for estimating ground movement, based on microwaves reflected off ground targets is gaining increasing importance in remote…