30 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of British ColumbiaCA8 papers
- BC Children's Hospital Research InstituteCA4 papers
- Monash Children’s HospitalAU4 papers
- Monash UniversityAU4 papers
- BC Cancer AgencyCA1 paper
- BC Research (Canada)CA1 paper
- Centre de Biologie pour la Gestion des PopulationsFR1 paper
- Centre for Biomedical Network Research on Rare DiseasesES1 paper
- Centre Hospitalier Universitaire de MontpellierFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Clinique du MillénaireFR1 paper
- Clinique Mutualiste de l'EstuaireFR1 paper
10 papers
Deep Learning Pose Estimation for Multi-Label Recognition of Combined Hyperkinetic Movement Disorders
Laura Cif, Diane Demailly, Gabriella A. Horvàth +15
Hyperkinetic movement disorders (HMDs) such as dystonia, tremor, chorea, myoclonus, and tics are disabling motor manifestations across childhood and adulthood. Their fluctuating, i…
A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma
Shadab Ahamed, Natalia Dubljevic, Ingrid Bloise +6
Accurate detection and segmentation of diffuse large B-cell lymphoma (DLBCL) from PET images has important implications for estimation of total metabolic tumor volume, radiomics an…
Comprehensive framework for evaluation of deep neural networks in detection and quantification of lymphoma from PET/CT images: clinical insights, pitfalls, and observer agreement analyses
Shadab Ahamed, Yixi Xu, Sara Kurkowska +12
This study addresses critical gaps in automated lymphoma segmentation from PET/CT images, focusing on issues often overlooked in existing literature. While deep learning has been a…
Neonatal Face and Facial Landmark Detection from Video Recordings
Ethan Grooby, Chiranjibi Sitaula, Soodeh Ahani +4
This paper explores automated face and facial landmark detection of neonates, which is an important first step in many video-based neonatal health applications, such as vital sign…
First passage time and information of a one-dimensional Brownian particle with stochastic resetting to random positions
J. Quetzalcoatl Toledo-Marin, Denis Boyer
We explore the effects of stochastic resetting to random positions of a Brownian particle on first passage times and Shannon's entropy. We explore the different entropy regimes, na…
Prediction of Neonatal Respiratory Distress in Term Babies at Birth from Digital Stethoscope Recorded Chest Sounds
Ethan Grooby, Chiranjibi Sitaula, Kenneth Tan +6
Neonatal respiratory distress is a common condition that if left untreated, can lead to short- and long-term complications. This paper investigates the usage of digital stethoscope…
Noisy Neonatal Chest Sound Separation for High-Quality Heart and Lung Sounds
Ethan Grooby, Chiranjibi Sitaula, Davood Fattahi +8
Stethoscope-recorded chest sounds provide the opportunity for remote cardio-respiratory health monitoring of neonates. However, reliable monitoring requires high-quality heart and…
A New Non-Negative Matrix Co-Factorisation Approach for Noisy Neonatal Chest Sound Separation
Ethan Grooby, Jinyuan He, Davood Fattahi +6
Obtaining high-quality heart and lung sounds enables clinicians to accurately assess a newborn's cardio-respiratory health and provide timely care. However, noisy chest sound recor…
Development of the Lymphatic System in the 4D XCAT Phantom
Roberto Fedrigo, William P. Segars, Patrick Martineau +4
Purpose: The XCAT phantom allows for highly sophisticated multimodality imaging research. It includes a complete set of organs, muscle, bone, soft tissue, while also accounting for…
In vivo investigation of the multi-exponential T2 decay in human white matter at 7T: Implications for myelin water imaging at UHF
Vanessa Wiggermann, Alex MacKay, Alexander Rauscher +1
Multicomponent T2-mapping using a gradient and spin-echo (GraSE) acquisition has become standard for myelin water imaging at 3T. Higher magnetic field strengths promise SNR benefit…