399 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Rice UniversityUS17 papers
- The University of Texas Health Science Center at HoustonUS17 papers
- The University of Texas at AustinUS13 papers
- Harvard UniversityUS12 papers
- Baylor College of MedicineUS10 papers
- The University of Texas Southwestern Medical CenterUS9 papers
- University of PennsylvaniaUS8 papers
- Massachusetts General HospitalUS7 papers
- Stanford UniversityUS7 papers
- Technical University of MunichDE7 papers
- University of Alabama at BirminghamUS7 papers
- University of North Carolina at Chapel HillUS7 papers
17 papers · 1 filter
A model for relative biological effectiveness of therapeutic proton beams based on a global fit of cell survival data
Ramin Abolfath, Christopher R. Peeler, Mark Newpower +3
We introduce an approach for global fitting of the recently published high-throughput and high accuracy clonogenic cell-survival data for therapeutic scanned proton beams. Our fitt…
NExUS: Bayesian simultaneous network estimation across unequal sample sizes
Priyam Das, Christine Peterson, Kim-Anh Do +2
Network-based analyses of high-throughput genomics data provide a holistic, systems-level understanding of various biological mechanisms for a common population. However, when esti…
Bayesian Hierarchical Spatial Model for Small Area Estimation with Non-ignorable Nonresponses and Its Applications to the NHANES Dental Caries Assessments
Ick Hoon Jin, Fang Liu, Evercita C. Eugenio +2
The National Health and Nutrition Examination Survey (NHANES) is a major program of the National Center for Health Statistics, designed to assess the health and nutritional status…
Social Network Mediation Analysis: a Latent Space Approach
Haiyan Liu, Ick Hoon Jin, Zhiyong Zhang +1
Social networks contain data on both actor attributes and social connections among them. Such connections reflect the dependence among social actors, which is important for individ…
TOP: Time-to-Event Bayesian Optimal Phase II Trial Design for Cancer Immunotherapy
Ruitao Lin, Robert L Coleman, Ying Yuan
Immunotherapies have revolutionized cancer treatment. Unlike chemotherapies, immune agents often take longer time to show benefit, and the complex and unique mechanism of action of…
ConvPath: A Software Tool for Lung Adenocarcinoma Digital Pathological Image Analysis Aided by Convolutional Neural Network
Shidan Wang, Tao Wang, Lin Yang +11
The spatial distributions of different types of cells could reveal a cancer cell growth pattern, its relationships with the tumor microenvironment and the immune response of the bo…
Validation of a track repeating algorithm for intensity modulated Carbon therapy with GEANT4
Qianxia Wang, Antony Adair, Yu Deng +4
The Fast Dose Calculator (FDC), a track repeating algorithm Monte Carlo method was initially developed for proton therapy. The validation for proton therapy has been demonstrated i…
Mixture theory modeling for characterizing solute transport in breast tumor tissues
Sreyashi Chakraborty, Alican Ozkan, Marissa Nichole Rylander +2
Solute transport is modeled using mixture theory, applied to the nanoparticle accumulation and concentration decay in the tissue space for different vascular configurations. A comp…
A Time Series Graph Cut Image Segmentation Scheme for Liver Tumors
Laramie Paxton, Yufeng Cao, Kevin R. Vixie +3
Tumor detection in biomedical imaging is a time-consuming process for medical professionals and is not without errors. Thus in recent decades, researchers have developed algorithmi…
Time-to-Event Model-Assisted Designs to Accelerate Phase I Clinical Trials
Ruitao Lin, Ying Yuan
Two useful strategies to speed up drug development are to increase the patient accrual rate and use novel adaptive designs. Unfortunately, these two strategies often conflict when…
Optimization of a multipoint plastic scintillator dosimeter for high dose rate brachytherapy
Haydee M. Linares Rosales, Patricia Duguay-Drouin, Louis Archambault +2
Purpose: This study aims to optimize and characterize the response of a mPSD for in vivo dosimetry in HDR brachytherapy. Methods: An exhaustive analysis was carried out in order to…
Simultaneous Motion Monitoring and Truth-In-Delivery Analysis Imaging Framework for MR-guided Radiotherapy
Nikolai J. Mickevicius, Xinfeng Chen, Zachary Boyd +3
Intrafraction motion can play a pivotal role in the success of abdominal and thoracic radiation therapy. Hybrid magnetic resonance-guided radiotherapy systems have the potential to…
Tensor network factorizations: Relationships between brain structural connectomes and traits
Zhengwu Zhang, Genevera I. Allen, Hongtu Zhu +1
Advanced brain imaging techniques make it possible to measure individuals' structural connectomes in large cohort studies non-invasively. The structural connectome is initially sha…
Dose Verification of Volumetric Modulated Arc Therapy using One and Two Dimensional Dosimeters
Jalil ur Rehman, Zahra, Ghulam Hussain +7
Purpose: To verify dose delivery and quality assurance of volumetric modulated arc therapy (VMAT) for head and neck cancer. Method: The Imaging and Radiation Oncology Core Houston…
Bayesian estimation of a semiparametric recurrent event model with applications to the penetrance estimation of multiple primary cancers in Li-Fraumeni Syndrome
Seung Jun Shin, Jialu Li, Jing Ning +3
A common phenomenon in cancer syndromes is for an individual to have multiple primary cancers at different sites during his/her lifetime. Patients with Li-Fraumeni syndrome (LFS),…
Bayesian Semiparametric Functional Mixed Models for Serially Correlated Functional Data, with Application to Glaucoma Data
Wonyul Lee, Michelle F. Miranda, Phlip Rausch +4
Glaucoma, a leading cause of blindness, is characterized by optic nerve damage related to intraocular pressure (IOP), but its full etiology is unknown. Researchers at UAB have devi…
A Flexible Procedure for Mixture Proportion Estimation in Positive-Unlabeled Learning
Zhenfeng Lin, James P. Long
Positive--unlabeled (PU) learning considers two samples, a positive set P with observations from only one class and an unlabeled set U with observations from two classes. The goal…