Richard M. Dansereau

Carleton University — Canada

Computer Science · Physical Sciences

13h-index815citations107works0.42yr avg
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Research Topics

Speech and Audio Processing(39), Blind Source Separation Techniques(26), Advanced Adaptive Filtering Techniques(23), Image and Signal Denoising Methods(17), Advanced Data Compression Techniques(14)

Publications107 total

Enhanced audio-visual speech enhancement with posterior sampling methods in recurrent variational autoencoders
Computer Speech & Language·2025Open Access
Enhanced Audio-Visual Speech Processing with Posterior Sampling Methods in Recurrent Variational Autoencoders
SSRN Electronic Journal·2025Open Access
Enhanced Audio-Visual Speech Processing with Posterior Sampling Methods in Recurrent Variational Autoencoders
SSRN Electronic Journal·2025Open Access
Dynamic Audio-Visual Speech Enhancement using Recurrent Variational Autoencoders
2024· 1 cited
Improved Detection of Abnormality in Grayscale Breast Thermal Images Using Binary Encoding
2024· 2 cited
Overlapping Cervical Cell Region Segmentation
2024
MsDC-DEQ-Net: Deep Equilibrium Model (DEQ) with Multi-scale Dilated Convolution for Image Compressive Sensing (CS)
arXiv (Cornell University)·2024Open Access
MsDC‐DEQ‐Net: Deep Equilibrium Model (DEQ) with Multiscale Dilated Convolution for Image Compressive Sensing (CS)
IET Signal Processing·2024Open Access
STP-DEQ-Net: A Deep Equilibrium Model Based on ISTA Method for Image Compressive Sensing
2022 30th European Signal Processing Conference (EUSIPCO)·2022· 2 cited
Multi‐layer random walker image segmentation for overlapped cervical cells using probabilistic deep learning methods
IET Image Processing·2022· 27 citedOpen Access
Evaluation of Wavelet Kernel-Based PET Image Reconstruction
IEEE Transactions on Radiation and Plasma Medical Sciences·2021· 7 cited
Target Detection Through Riemannian Geometric Approach With Application to Drone Detection
IEEE Access·2021· 12 citedOpen Access
Deep Learning Methods for Image Decomposition of Cervical Cells
2020· 7 cited
Kernel-based Reconstruction of Cardiac PET Images Using MR Information
2020
Improved Covariance Matrix Estimation using Riemannian Geometry for Beamforming Applications
2020· 6 cited
Fast Reconstruction of 1D Compressive Sensing Data Using a Deep Neural Network
International Journal of Signal Processing Systems·2020· 4 cited
Deep Learning Methods for Image Segmentation Containing Translucent Overlapped Objects
2019· 5 cited
Dynamic PET Image Reconstruction Using the Wavelet Kernel Method
2019· 1 cited
Kernel-Based Reconstruction of C-11-Hydroxyephedrine Cardiac PET Images of the Sympathetic Nervous System
2019· 3 cited
Direction of Arrival Estimation using Riemannian Mean and Distance
2019· 4 cited
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Frequent Co-authors

Mohammad Hadi Radfar(13), Abolghasem Sayadiyan(9), Rafik Goubran(7), Mohamed M. Fouad(6), Anthony Whitehead(5), Tayebeh Lotfi Mahyari(4), Hossein Chahrour(4), Sreeraman Rajan(4), Bhashyam Balaji(4), Witold Kinsner(4), David Lo(3), Tarek Helaly(3), M. El-Tanany(3), Adrian D. C. Chan(2), W.-Y. Chan(2), Jie Zhu(2), Y.A. Mahgoub(2), Mehran Talebinejad(1), Ali Miri(1), Gerhard Thompson(1)