118 citations
- The University of Texas Health Science Center at HoustonUS2 papers
- The University of Texas MD Anderson Cancer CenterUS2 papers
- Aarhus UniversityDK1 paper
- Aarhus University HospitalDK1 paper
- Association for Computing MachineryUS1 paper
- Baylor College of MedicineUS1 paper
- Cancer Research UK Cambridge CenterGB1 paper
- Christian-Albrechts-Universität zu KielDE1 paper
- Hebrew University of JerusalemIL1 paper
- Johns Hopkins UniversityUS1 paper
- Sunnybrook Health Science CentreCA1 paper
- Sunnybrook Research Institute1 paper
4 papers · 1 filter
Learning Orientations: a Discrete Geometry Model
Y. Dabaghian
In the mammalian brain, many neuronal ensembles are involved in representing spatial structure of the environment. In particular, there exist cells that encode the animal's locatio…
Spatial representability of neuronal activity
D. Akhtiamov, A. G. Cohn, Y. Dabaghian
A common approach to interpreting spiking activity is based on identifying the firing fields---regions in physical or configuration spaces that elicit responses of neurons. Common…
Hypothesis Testing for Two Sample Comparison of Network Data
Han Feng, Xing Qiu, Hongyu Miao
Network data is a major object data type that has been widely collected or derived from common sources such as brain imaging. Such data contains numeric, topological, and geometric…
Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network
Kai Zhang, Siddharth Karanth, Bela Patel +2
We propose a robust in-time predictor for in-hospital COVID-19 patient's probability of requiring mechanical ventilation. A challenge in the risk prediction for COVID-19 patients l…