302 citations
- Tufts UniversityUS5 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE2 papers
- Massachusetts Institute of TechnologyUS2 papers
- Agència de Salut Pública de CatalunyaES1 paper
- Aichi Medical UniversityJP1 paper
- Barts Cancer InstituteGB1 paper
- Bostwick LaboratoriesUS1 paper
- Centre for Human GeneticsGB1 paper
- Centre Hospitalier de MulhouseFR1 paper
- Centre Hospitalier Intercommunal Aix-PertuisFR1 paper
- Cleveland ClinicUS1 paper
- Cleveland Clinic Lerner College of MedicineUS1 paper
9 papers
Designing for Adolescent Voice in Health Decisions: Embodied Conversational Agents for HPV Vaccination
Ian Steenstra, Neha Patkar, Rebecca B. Perkins +2
Adolescents are directly affected by preventive health decisions such as vaccination, yet their perspectives are rarely solicited or supported. Most digital interventions for Human…
A Probabilistic Method to Predict Classifier Accuracy on Larger Datasets given Small Pilot Data
Ethan Harvey, Wansu Chen, David M. Kent +1
Practitioners building classifiers often start with a smaller pilot dataset and plan to grow to larger data in the near future. Such projects need a toolkit for extrapolating how m…
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning
Zhe Huang, Benjamin S. Wessler, Michael C. Hughes
Aortic stenosis (AS) is a degenerative valve condition that causes substantial morbidity and mortality. This condition is under-diagnosed and under-treated. In clinical practice, A…
A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms
Zhe Huang, Gary Long, Benjamin Wessler +1
Semi-supervised image classification has shown substantial progress in learning from limited labeled data, but recent advances remain largely untested for clinical applications. Mo…
Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories
Gian Marco Visani, Alexandra Hope Lee, Cuong Nguyen +4
We address the problem of modeling constrained hospital resources in the midst of the COVID-19 pandemic in order to inform decision-makers of future demand and assess the societal…
Maximum a posteriori signal recovery for optical coherence tomography angiography image generation and denoising
Lennart Husvogt, Stefan B. Ploner, Siyu Chen +7
Optical coherence tomography angiography (OCTA) is a novel and clinically promising imaging modality to image retinal and sub-retinal vasculature. Based on repeated optical coheren…