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
20 papers · 1 filter
Bayesian Clustering Prior with Overlapping Indices for Effective Use of Multisource External Data
Xuetao Lu, J. Jack Lee
The use of external data in clinical trials offers numerous advantages, such as reducing the number of patients, increasing study power, and shortening trial durations. In Bayesian…
Bayesian Transfer Learning for Enhanced Estimation and Inference
Daoyuan Lai, Oscar Hernan Madrid Padilla, Xiang Li +1
Transfer learning enhances model performance in a target population with limited samples by leveraging knowledge from related studies. While many works focus on improving predictiv…
LLM-IE: A Python Package for Generative Information Extraction with Large Language Models
Enshuo Hsu, Kirk Roberts
Objectives: Despite the recent adoption of large language models (LLMs) for biomedical information extraction, challenges in prompt engineering and algorithms persist, with no dedi…
Robust multi-coil MRI reconstruction via self-supervised denoising
Asad Aali, Marius Arvinte, Sidharth Kumar +2
We study the effect of incorporating self-supervised denoising as a pre-processing step for training deep learning (DL) based reconstruction methods on data corrupted by Gaussian n…
Clustering Computer Mouse Tracking Data with Informed Hierarchical Shrinkage Partition Priors
Ziyi Song, Weining Shen, Marina Vannucci +4
Mouse-tracking data, which record computer mouse trajectories while participants perform an experimental task, provide valuable insights into subjects' underlying cognitive process…
OAR-Weighted Dice Score: A spatially aware, radiosensitivity aware metric for target structure contour quality assessment
Lucas McCullum, Kareem A. Wahid, Barbara Marquez +1
The Dice Similarity Coefficient (DSC) is the current de facto standard to determine agreement between a reference segmentation and one generated by manual / auto-contouring approac…
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation
McKell Woodland, Nihil Patel, Austin Castelo +13
Clinically deployed deep learning-based segmentation models are known to fail on data outside of their training distributions. While clinicians review the segmentations, these mode…
ROMI: A Randomized Two-Stage Basket Trial Design to Optimize Doses for Multiple Indications
Shuqi Wang, Peter F. Thall, Kentaro Takeda +1
Optimizing doses for multiple indications is challenging. The pooled approach of finding a single optimal biological dose (OBD) for all indications ignores that dose-response or do…
Mimicking large spot-scanning radiation fields for proton FLASH preclinical studies with a robotic motion platform
Fada Guan, Dadi Jiang, Xiaochun Wang +12
Previously, a synchrotron-based horizontal proton beamline (87.2 MeV) was successfully commissioned to deliver radiation doses in FLASH and conventional dose rate modes to small fi…
Conformal predictive intervals in survival analysis: a re-sampling approach
Jing Qin, Jin Piao, Jing Ning +1
The distribution-free method of conformal prediction (Vovk et al, 2005) has gained considerable attention in computer science, machine learning, and statistics. Candes et al. (2023…
Leveraging Large Language Models for Knowledge-free Weak Supervision in Clinical Natural Language Processing
Enshuo Hsu, Kirk Roberts
The performance of deep learning-based natural language processing systems is based on large amounts of labeled training data which, in the clinical domain, are not easily availabl…
On the acceptance, commissioning, and quality assurance of electron FLASH units
Allison Palmiero, Kevin Liu, Julie Colnot +15
Background & Purpose: FLASH or ultra-high dose rate (UHDR) radiation therapy (RT) has gained attention in recent years for its ability to spare normal tissues relative to conventio…
Relation Extraction Using Large Language Models: A Case Study on Acupuncture Point Locations
Yiming Li, Xueqing Peng, Jianfu Li +6
In acupuncture therapy, the accurate location of acupoints is essential for its effectiveness. The advanced language understanding capabilities of large language models (LLMs) like…
Assessing Engraftment Following Fecal Microbiota Transplant
Chloe Herman, Bridget M. Barker, Thais F. Bartelli +9
Fecal Microbiota Transplant (FMT) is an FDA approved treatment for recurrent Clostridium difficile infections, and is being explored for other clinical applications, from alleviati…
GENEVIC: GENetic data Exploration and Visualization via Intelligent interactive Console
Anindita Nath, Savannah Mwesigwa, Yulin Dai +2
Summary: The vast generation of genetic data poses a significant challenge in efficiently uncovering valuable knowledge. Introducing GENEVIC, an AI-driven chat framework that tackl…
A molecular dynamics simulation of the abrupt changes in the thermodynamic properties of water after formation of nano-bubbles / nano-cavities induced by passage of charged particles
Ramin Abolfath, Niayesh Afshordi, Sohrab Rahvar +6
We present a multi-scale formalism that accounts for the formation of nano-scale bubbles/cavities owing to a burst of water molecules after the passage of high energy charged parti…
Development of novel ionization chambers for reference dosimetry in electron FLASH radiotherapy
Kevin Liu, Shannon Holmes, Ahtesham Ullah Khan +4
The aim of this study was to optimize the design and performance of parallel plate ion chambers for use in ultra-high dose rate (UHDR) dosimetry applications, and evaluate their po…
Characterization of a novel time-resolved, real-time scintillation dosimetry system for ultra-high dose rate radiation therapy applications
Alexander Baikalov, Daline Tho, Kevin Liu +3
Background: Scintillation dosimetry has promising qualities for ultra-high dose rate (UHDR) radiotherapy (RT), but no system has shown compatibility with mean dose rates ($\bar{DR}…
The status and challenges for prostate SBRT treatments in United States proton therapy centers: An NRG Oncology practice survey
Jiajian Shen, Paige A. Taylor, Carlos E. Vargas +8
A survey was designed to inquire about the practice of proton SBRT treatment for prostate cancer. The survey was distributed to all 30 proton therapy centers in the United States t…
A Weibull Mixture Cure Frailty Model for High-dimensional Covariates
Fatih Kızılaslan, David Michael Swanson, Valeria Vitelli
A novel mixture cure frailty model is introduced for handling censored survival data. Mixture cure models are preferable when the existence of a cured fraction among patients can b…