14.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Columbia UniversityUS16 papers
- Harvard UniversityUS13 papers
- Stanford UniversityUS12 papers
- Cornell UniversityUS11 papers
- National Institutes of HealthUS7 papers
- New York UniversityUS7 papers
- University of California, San FranciscoUS7 papers
- Emory UniversityUS6 papers
- Georgia Institute of TechnologyUS6 papers
- Hebrew University of JerusalemIL6 papers
- Imperial College LondonGB6 papers
- Mayo ClinicUS6 papers
8 papers · 1 filter
Automatic Brain Tumor Segmentation with Scale Attention Network
Yading Yuan
Automatic segmentation of brain tumors is an essential but challenging step for extracting quantitative imaging biomarkers for accurate tumor detection, diagnosis, prognosis, treat…
GEE-TGDR: A longitudinal feature selection algorithm and its application to lncRNA expression profiles for psoriasis patients treated with immune therapies
Suyan Tian, Chi Wang, Mayte Suarez-Farinas
With the fast evolution of high-throughput technology, longitudinal gene expression experiments have become affordable and increasingly common in biomedical fields. Generalized est…
Estimation of causal effects of multiple treatments in healthcare database studies with rare outcomes
Liangyuan Hu, Chenyang Gu
The preponderance of large-scale healthcare databases provide abundant opportunities for comparative effectiveness research. Evidence necessary to making informed treatment decisio…
Estimating heterogeneous survival treatment effect in observational data using machine learning
Liangyuan Hu, Jiayi Ji, Fan Li
Methods for estimating heterogeneous treatment effect in observational data have largely focused on continuous or binary outcomes, and have been relatively less vetted with surviva…
Exact Parallelization of the Stochastic Simulation Algorithm for Scalable Simulation of Large Biochemical Networks
Arthur P. Goldberg, David R. Jefferson, John A. P. Sekar +1
Comprehensive simulations of the entire biochemistry of cells have great potential to help physicians treat disease and help engineers design biological machines. But such simulati…
ObjTables: structured spreadsheets that promote data quality, reuse, and integration
Jonathan R. Karr, Wolfram Liebermeister, Arthur P. Goldberg +2
A central challenge in science is to understand how systems behaviors emerge from complex networks. This often requires aggregating, reusing, and integrating heterogeneous informat…
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale
Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee +6
Deriving disease subtypes from electronic health records (EHRs) can guide next-generation personalized medicine. However, challenges in summarizing and representing patient data pr…
Directed Acyclic Graphs and causal thinking in clinical risk prediction modeling
Marco Piccininni, Stefan Konigorski, Jessica L Rohmann +1
Background: In epidemiology, causal inference and prediction modeling methodologies have been historically distinct. Directed Acyclic Graphs (DAGs) are used to model a priori causa…