533 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of British ColumbiaCA5 papers
- BC Children's HospitalCA4 papers
- Monash Children’s HospitalAU3 papers
- Monash UniversityAU3 papers
- Alex's Lemonade Stand FoundationUS1 paper
- Brigham and Women's HospitalUS1 paper
- Canadian Institute for Advanced ResearchCA1 paper
- City University of New YorkUS1 paper
- CUNY Graduate School of Public Health and Health PolicyUS1 paper
- Dana-Farber Brigham Cancer CenterUS1 paper
- Dana-Farber Cancer InstituteUS1 paper
- Emory UniversityUS1 paper
5 papers
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…
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…
The importance of transparency and reproducibility in artificial intelligence research
Benjamin Haibe-Kains, George Alexandru Adam, Ahmed Hosny +17
In their study, McKinney et al. showed the high potential of artificial intelligence for breast cancer screening. However, the lack of detailed methods and computer code undermines…