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
19 papers · 1 filter
Federated Learning for Healthcare Informatics
Jie Xu, Benjamin S. Glicksberg, Chang Su +3
With the rapid development of computer software and hardware technologies, more and more healthcare data are becoming readily available from clinical institutions, patients, insura…
Decoding Neural Responses in Mouse Visual Cortex through a Deep Neural Network
Asim Iqbal, Phil Dong, Christopher M Kim +1
Finding a code to unravel the population of neural responses that leads to a distinct animal behavior has been a long-standing question in the field of neuroscience. With the recen…
Enhancing high-content imaging for studying microtubule networks at large-scale
Hao-Chih Lee, Sarah T Cherng, Riccardo Miotto +1
Given the crucial role of microtubules for cell survival, many researchers have found success using microtubule-targeting agents in the search for effective cancer therapeutics. Un…
Machine learning approaches for analyzing and enhancing molecular dynamics simulations
Yihang Wang, Joao Marcelo Lamim Ribeiro, Pratyush Tiwary
Molecular dynamics (MD) has become a powerful tool for studying biophysical systems, due to increasing computational power and availability of software. Although MD has made many c…
Organizing genome engineering for the gigabase scale
Bryan A. Bartley, Jacob Beal, Jonathan R. Karr +1
Engineering the entire genome of an organism enables large-scale changes in organization, function, and external interactions, with significant implications for industry, medicine,…
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review
Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T Dudley +3
Of the 2652 articles considered, 106 met the inclusion criteria. Review of the included papers resulted in identification of 43 chronic diseases, which were then further classified…
A Deep Regression Model for Seed Identification in Prostate Brachytherapy
Yading Yuan, Ren-Dih Sheu, Luke Fu +1
Post-implant dosimetry (PID) is an essential step of prostate brachytherapy that utilizes CT to image the prostate and allow the location and dose distribution of the radioactive s…
Deep density ratio estimation for change point detection
Haidar Khan, Lara Marcuse, Bülent Yener
In this work, we propose new objective functions to train deep neural network based density ratio estimators and apply it to a change point detection problem. Existing methods use…
Genome analysis and pleiotropy assessment using causal networks with loss of function mutation and metabolomics
Azam Yazdani, Akram Yazdani, Sarah H. Elsea +4
Background: Many genome-wide association studies have detected genomic regions associated with traits, yet understanding the functional causes of association often remains elusive.…
Modeling the Causal Effect of Treatment Initiation Time on Survival: Application to HIV/TB Co-infection
Liangyuan Hu, Joseph W. Hogan, Ann W. Mwangi +1
The timing of antiretroviral therapy (ART) initiation for HIV and tuberculosis (TB) co-infected patients needs to be considered carefully. CD4 cell count can be used to guide decis…
Causal comparative effectiveness analysis of dynamic continuous-time treatment initiation rules with sparsely measured outcomes and death
Liangyuan Hu, Joseph W. Hogan
Evidence supporting the current World Health Organization recommendations of early antiretroviral therapy (ART) initiation for adolescents is inconclusive. We leverage a large obse…
Kernel Machine and Distributed Lag Models for Assessing Windows of Susceptibility to Environmental Mixtures in Children's Health Studies
Ander Wilson, Hsiao-Hsien Leon Hsu, Yueh-Hsiu Mathilda Chiu +3
Exposures to environmental chemicals during gestation can alter health status later in life. Most studies of maternal exposure to chemicals during pregnancy have focused on a singl…
Genomics models in radiotherapy: from mechanistic to machine learning
John Kang, James T. Coates, Robert L. Strawderman +2
Machine learning provides a broad framework for addressing high-dimensional prediction problems in classification and regression. While machine learning is often applied for imagin…
BpForms and BcForms: Tools for concretely describing non-canonical polymers and complexes to facilitate comprehensive biochemical networks
Paul F. Lang, Yassmine Chebaro, Xiaoyue Zheng +4
Although non-canonical residues, caps, crosslinks, and nicks play an important role in the function of many DNA, RNA, proteins, and complexes, we do not fully understand how networ…
Gaussian Markov Random Fields versus Linear Mixed Models for satellite-based PM2.5 assessment: Evidence from the Northeastern USA
Ron Sarafian, Itai Kloog, Allan C. Just +1
Studying the effects of air-pollution on health is a key area in environmental epidemiology. An accurate estimation of air-pollution effects requires spatio-temporally resolved dat…
A Soft High Force Hand Exoskeleton for Rehabilitation and Assistance of Spinal Cord Injury and Stroke Individuals
Shuangyue Yu, Hadia Perez, James Barkas +7
Individuals with spinal cord injury (SCI) and stroke who is lack of manipulation capability have a particular need for robotic hand exoskeletons. Among assistive and rehabilitative…
Efficient augmentation and relaxation learning for individualized treatment rules using observational data
Ying-Qi Zhao, Eric B. Laber, Yang Ning +2
Individualized treatment rules aim to identify if, when, which, and to whom treatment should be applied. A globally aging population, rising healthcare costs, and increased access…
Free-breathing and ungated cardiac cine using navigator-less spiral SToRM
Abdul Haseeb Ahmed, Ruixi Zhou, Yang Yang +3
We introduce a kernel low-rank algorithm to recover free-breathing and ungated dynamic MRI from spiral acquisitions without explicit k-space navigators. It is often challenging for…
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic, Patrick Christ, Hongwei Bran Li +106
In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedi…