77 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of CalgaryCA19 papers
- Alberta Children's HospitalCA3 papers
- Ontario Brain InstituteCA2 papers
- Universidade Estadual de Campinas (UNICAMP)BR2 papers
- University of AlbertaCA2 papers
- University of TorontoCA2 papers
- Agency for Science, Technology and ResearchSG1 paper
- Alberta Bone and Joint Health InstituteCA1 paper
- Alberta Machine Intelligence InstituteCA1 paper
- Allen Institute for Brain ScienceUS1 paper
- Artificial Intelligence in Medicine (Canada)CA1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
19 papers
Lesion-Independent Associations Between Thalamic Nuclei Volumes and Information Processing Speed in Multiple Sclerosis
Arshya Pooladi-Darvish, Heather Rosehart, Marina R. Everest +2
Background: Cognitive impairment in multiple sclerosis (MS) is driven by both focal inflammation and compartmentalized neurodegeneration, yet the relative effect of lesion-independ…
Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems
Farzaneh Dehghani, Mahsa Dibaji, Fahim Anzum +23
Artificial Intelligence (AI) has paved the way for revolutionary decision-making processes, which if harnessed appropriately, can contribute to advancements in various sectors, fro…
Spatial-temporal analysis of neural desynchronization in sleep-like states reveals critical dynamics
Davor Curic, Surjeet Singh, Mojtaba Nazari +2
Sleep is characterized by non-rapid eye movement (nREM) sleep, originating from widespread neuronal synchrony, and REM sleep, with neuronal desynchronization akin to waking behavio…
Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging
Emma A. M. Stanley, Raissa Souza, Anthony Winder +4
Artificial intelligence (AI) models trained using medical images for clinical tasks often exhibit bias in the form of disparities in performance between subgroups. Since not all so…
A voxel-level approach to brain age prediction: A method to assess regional brain aging
Neha Gianchandani, Mahsa Dibaji, Johanna Ospel +4
Brain aging is a regional phenomenon, a facet that remains relatively under-explored within the realm of brain age prediction research using machine learning methods. Voxel-level p…
SF2Former: Amyotrophic Lateral Sclerosis Identification From Multi-center MRI Data Using Spatial and Frequency Fusion Transformer
Rafsanjany Kushol, Collin C. Luk, Avyarthana Dey +15
Amyotrophic Lateral Sclerosis (ALS) is a complex neurodegenerative disorder involving motor neuron degeneration. Significant research has begun to establish brain magnetic resonanc…
Solving large-scale MEG/EEG source localization and functional connectivity problems simultaneously using state-space models
Jose M. Sanchez-Bornot, Roberto C. Sotero, Scott Kelso +1
State-space models are widely employed across various research disciplines to study unobserved dynamics. Conventional estimation techniques, such as Kalman filtering and expectatio…
A first-principles calculation of electron-phonon interactions for the and defects in hexagonal boron nitride
Kenneth Sharman, Omid Golami, Stephen Wein +4
Quantum emitters in two-dimensional hexagonal boron nitride (h-BN) have generated significant interest due to observations of ultra-bright emission made at room temperature. The ex…
Network analysis of the human structural connectome including the brainstem
Salma Salhi, Youssef Kora, Gisu Ham +2
The underlying anatomical structure is fundamental to the study of brain networks, but the role of brainstem from a structural perspective is not very well understood. We conduct a…
A Survey on RGB-D Datasets
Alexandre Lopes, Roberto Souza, Helio Pedrini
RGB-D data is essential for solving many problems in computer vision. Hundreds of public RGB-D datasets containing various scenes, such as indoor, outdoor, aerial, driving, and med…
Decoding the conductance of disordered nanostructures: a quantum inverse problem
S. Mukim, J. O'Brien, M. Abarashi +2
Obtaining conductance spectra for a concentration of disordered impurities distributed over a nanoscale device with sensing capabilities is a well-defined problem. However, to do t…
The Federated Tumor Segmentation (FeTS) Challenge
Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29
This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…
Artifacts of Quantization in Distance Transforms
Bryce A. Besler, Tannis D. Kemp, Nils D. Forkert +1
Distance transforms are a central tool in shape analysis, morphometry, and curve evolution problems. This work describes and investigates an artifact present in distance maps compu…
Design of a Head Coil for High Resolution Mouse Brain Perfusion Imaging using Magnetic Particle Imaging
Matthias Graeser, Peter Ludewig, Patryk Szwargulski +6
Magnetic Particle Imaging (MPI) is a novel and versatile imaging modality developing towards human application. When up-scaling to human size, the sensitivity of the systems natura…
Pattern formation in reaction-diffusion systems in the presence of short-term memory
Reza Torabi, Jörn Davidsen
We study reaction-diffusion systems beyond the Markovian approximation to take into account the effect of memory on the formation of spatio-temporal patterns. Using a non-Markovian…
Criticality in spreading processes without time-scale separation and the critical brain hypothesis
Daniel J. Korchinski, Javier G. Orlandi, Seung-Woo Son +1
Spreading processes on networks are ubiquitous in both human-made and natural systems. Understanding their behavior is of broad interest; from the control of epidemics to understan…
Visuospatial short-term memory and dorsal visual gray matter volume
Dennis Dimond, Rebecca Perry, Giuseppe Iaria +1
Visual short-term memory (VSTM) is an important cognitive capacity that varies across the healthy adult population and is affected in several neurodevelopmental disorders. It has b…
Identifiability of generalised Randles circuit models
S. M. M. Alavi, A. Mahdi, S. J. Payne +1
The Randles circuit (including a parallel resistor and capacitor in series with another resistor) and its generalised topology have widely been employed in electrochemical energy s…
Synaptic metaplasticity underlies tetanic potentiation in Lymnaea: a novel paradigm
Anita Mehta, Jean-Marc Luck, Collin C. Luk +1
We present a mathematical model which explains and interprets a novel form of short-term potentiation, which was found to be use-, but not time-dependent, in experiments done on Ly…