A5076967707- Human Mobility and Location-Based Analysis
- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Complex Network Analysis Techniques
- COVID-19 Digital Contact Tracing
- COVID-19 epidemiological studies
- Technology Adoption and User Behaviour
- Cognitive Science and Mapping
- Medical Imaging and Analysis
- SARS-CoV-2 and COVID-19 Research
- Cognitive Computing and Networks
- Data-Driven Disease Surveillance
- Neural Networks and Applications
- MRI in cancer diagnosis
- Opinion Dynamics and Social Influence
City College of New York
2017-2022
Abstract It is commonly believed that patterns of social ties affect individuals’ economic status. Here we translate this concept into an operational definition at the network level, which allows us to infer well-being individuals through a measure their location and influence in network. We analyse two large-scale sources: telecommunications financial data whole country’s population. Our results show individual’s location, measured as optimal collective structural integrity network, highly...
The spread of COVID-19 caused by the SARS-CoV-2 virus has become a worldwide problem with devastating consequences. Here, we implement comprehensive contact tracing and network analysis to find an optimized quarantine protocol dismantle chain transmission coronavirus minimal disruptions society. We track billions anonymized GPS human mobility datapoints monitor evolution disease before after mass quarantines. As consequence lockdowns, people’s decreases 53%, which results in drastic...
To develop a deep network architecture that would achieve fully automated radiologist-level segmentation of cancers at breast MRI.In this retrospective study, 38 229 examinations (composed 64 063 individual scans from 14 475 patients) were performed in female patients (age range, 12-94 years; mean age, 52 years ± 10 [standard deviation]) who presented between 2002 and 2014 single clinical site. A total 2555 selected had been segmented on two-dimensional (2D) images by radiologists, as well...
Abstract The spread of COVID-19 caused by the recently discovered SARS-CoV-2 virus has become a worldwide problem with devastating consequences. To slow down pandemic, mass quarantines have been implemented globally, provoking further social and economic disruptions. Here, we address this implementing large-scale contact tracing network analysis to find optimal quarantine protocol dismantle chain transmission coronavirus minimal disruptions society. We track billions anonymized GPS human...