Prof. Richard M. Dansereau

Thursday, January 18, 2024

Journal paper on deep learning for image compressive sensing

Journal paper in IET Image Processing: MsDC-DEQ-Net: Deep equilibrium model (DEQ) with multi-scale dilated convolution for image compressive sensing (CS). Dr. Youhao Yu and Prof. Richard... More

Journal paper in IET Image Processing: MsDC-DEQ-Net: Deep equilibrium model (DEQ) with multi-scale dilated convolution for image compressive sensing (CS). Dr. Youhao Yu and Prof. Richard Dansereau published an open access journal article in IET Image Processing on using deep learning for image compressive sensing reconstruction.... More

Monday, May 1, 2023

Youhao Yu defends his PhD thesis

Youhao successfully defended his PhD thesis Reconstruction of Compressive Sensed (CS) Images with Deep Equilibrium Model (DEQ) Based on Iterative Shrinkage-Thresholding Algorithm (ISTA) In this thesis, we explored using learned compressive sensing for image... More

Youhao successfully defended his PhD thesis Reconstruction of Compressive Sensed (CS) Images with Deep Equilibrium Model (DEQ) Based on Iterative Shrinkage-Thresholding Algorithm (ISTA) In this thesis, we explored using learned compressive sensing for image compression using a deep neural network in the form of a deep equilibrium model (DEQ) as an... More

Monday, May 9, 2022

Journal paper on segmenting cervical cells

Journal paper in IET Image Processing: Multi-layer random walker image segmentation for overlapped cervical cells using probabilistic deep learning methods. Dr. Tayebeh Lotfi Mahyari and Prof. Richard Dansereau published an open... More

Journal paper in IET Image Processing: Multi-layer random walker image segmentation for overlapped cervical cells using probabilistic deep learning methods. Dr. Tayebeh Lotfi Mahyari and Prof. Richard Dansereau published an open access journal article in IET Image Processing on cervical cell image segmentation.... More

Monday, January 17, 2022

Zahra Ashouri Talouki defends her PhD thesis

Zahra successfully defended her PhD thesis Kernel-Based PET Image Reconstruction using Dynamic PET and MR Anatomical Information In this thesis, we explored PET image reconstruction using kernel expectation maximization (KEM) using... More

Zahra successfully defended her PhD thesis Kernel-Based PET Image Reconstruction using Dynamic PET and MR Anatomical Information In this thesis, we explored PET image reconstruction using kernel expectation maximization (KEM) using multiscale wavelet kernels, MR prior information, and feature-driven spatial weighting. This work was co-supervised with Dr.... More

Friday, September 3, 2021

Hossein Chahrour defends his PhD thesis

Hossein successfully defended his PhD thesis titled Signal Processing Methods in Riemannian Geometry with Application to Drone Detection In this thesis, we use Riemannian manifolds to project MIMO radar sample covariance matrices and apply this for detection... More

Hossein successfully defended his PhD thesis titled Signal Processing Methods in Riemannian Geometry with Application to Drone Detection In this thesis, we use Riemannian manifolds to project MIMO radar sample covariance matrices and apply this for detection of small drones in cluttered environments. This work was co-supervised with Prof. Sreeraman Rajan.... More

Signal Processing and Machine Learning Lab

Open position: Seeking a PhD/Masters student that is a Canadian, American, or British citizen for a project on speech intelligibility measurement and enhancement in noisy environments.

Richard M. Dansereau

Research Lab News

Journal paper on deep learning for image compressive sensing

Youhao Yu defends his PhD thesis

Journal paper on segmenting cervical cells

Zahra Ashouri Talouki defends her PhD thesis

Hossein Chahrour defends his PhD thesis