533 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Center for Devices and Radiological HealthUS9 papers
- University of Maryland, College ParkUS9 papers
- Center for Drug Evaluation and ResearchUS6 papers
- Harvard UniversityUS6 papers
- University of ChicagoUS6 papers
- Center for Biologics Evaluation and ResearchUS5 papers
- Office of ScienceUS5 papers
- Massachusetts General HospitalUS4 papers
- New York UniversityUS4 papers
- University of California, IrvineUS4 papers
- Cornell UniversityUS3 papers
- Food and Drug AdministrationTH3 papers
45 papers
Multimodal image registration for effective thermographic fever screening
C. Y. N. Dwith, Pejhman Ghassemi, Joshua Pfefer +2
Fever screening based on infrared thermographs (IRTs) is a viable mass screening approach during infectious disease pandemics, such as Ebola and SARS, for temperature monitoring in…
Assessing the performance of CT image denoisers using Laguerre-Gauss Channelized Hotelling Observer for lesion detection
Prabhat Kc, Rongping Zeng
The remarkable success of deep learning methods in solving computer vision problems, such as image classification, object detection, scene understanding, image segmentation, etc.,…
A comparison of methods for estimating the average treatment effect on the treated for externally controlled trials
Huan Wang, Fei Wu, Yeh-Fong Chen
While randomized trials may be the gold standard for evaluating the effectiveness of the treatment intervention, in some special circumstances, single-arm clinical trials utilizing…
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu +77
Pediatric central nervous system tumors are the leading cause of cancer-related deaths in children. The five-year survival rate for high-grade glioma in children is less than 20%.…
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge
Dominic LaBella, Ujjwal Baid, Omaditya Khanna +119
We describe the design and results from the BraTS 2023 Intracranial Meningioma Segmentation Challenge. The BraTS Meningioma Challenge differed from prior BraTS Glioma challenges in…
Sensitivity Analysis for Unmeasured Confounding in Medical Product Development and Evaluation Using Real World Evidence
Yixin Fang, Pallavi Mishra-Kalyani, Xiang Zhang +8
The American Statistical Association Biopharmaceutical Section (ASA BIOP) scientific working group on real-world evidence (RWE) has been making continuous, extended efforts towards…
The stochastic digital human is now enrolling for in silico imaging trials -- Methods and tools for generating digital cohorts
A Badano, M Lago, E Sizikova +4
Randomized clinical trials, while often viewed as the highest evidentiary bar by which to judge the quality of a medical intervention, are far from perfect. In silico imaging trial…
Modern Statistical Models and Methods for Estimating Fatigue-Life and Fatigue-Strength Distributions from Experimental Data
William Q. Meeker, Luis A. Escobar, Francis G. Pascual +4
Engineers and scientists have been collecting and analyzing fatigue data since the 1800s to ensure the reliability of life-critical structures. Applications include (but are not li…
Applications of Machine Learning in Pharmacogenomics: Clustering Plasma Concentration-Time Curves
Jackson P. Lautier, Stella Grosser, Jessica Kim +2
Pharmaceutical researchers are continually searching for techniques to improve both drug development processes and patient outcomes. An area of recent interest is the potential for…
Use of Non-concurrent Common Control in Master Protocols in Oncology Trials: Report of an American Statistical Association Biopharmaceutical Section Open Forum Discussion
Rajeshwari Sridhara, Olga Marchenko, Qi Jiang +14
This article summarizes the discussions from the American Statistical Association (ASA) Biopharmaceutical (BIOP) Section Open Forum that took place on December 10, 2020 and was org…
Learning diffusion coefficients, kinetic parameters, and the number of underlying states from a multi-state diffusion process: robustness results and application to PDK1/PKC, dynamics
Lewis R. Baker, Moshe T. Gordon, Brian P. Ziemba +3
Systems driven by Brownian motion are ubiquitous. A prevailing challenge is inferring, from data, the diffusion and kinetic parameters that describe these stochastic processes. In…
Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging
Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks +4
Modern generative models, such as generative adversarial networks (GANs), hold tremendous promise for several areas of medical imaging, such as unconditional medical image synthesi…
A sharp interface Lagrangian-Eulerian method for flexible-body fluid-structure interaction
Ebrahim M. Kolahdouz, David R. Wells, Simone Rossi +3
This paper introduces a sharp-interface approach to simulating fluid-structure interaction involving flexible bodies described by general nonlinear material models and across a bro…
Practical considerations for specifying a super learner
Rachael V. Phillips, Mark J. van der Laan, Hana Lee +1
Common tasks encountered in epidemiology, including disease incidence estimation and causal inference, rely on predictive modeling. Constructing a predictive model can be thought o…
Deep neural networks-based denoising models for CT imaging and their efficacy
Prabhat KC, Rongping Zeng, M. Mehdi Farhangi +1
Most of the Deep Neural Networks (DNNs) based CT image denoising literature shows that DNNs outperform traditional iterative methods in terms of metrics such as the RMSE, the PSNR…
Mathematical Model of Volume Kinetics and Renal Function after Burn Injury and Resuscitation
Ghazal ArabiDarrehDor, Ali Tivay, Ramin Bighamian +4
This paper presents a mathematical model of blood volume kinetics and renal function in response to burn injury and resuscitation, which is applicable to the development and non-cl…
Observations of Ultrafast Superfluorescent Beatings in a Cesium Atomic Vapor Excited by Femtosecond Laser Pulses
Gombojav O. Ariunbold, Vladimir A. Sautenkov, Hebin Li +7
Spontaneous emission from individual atoms in vapor lasts nanoseconds, if not microseconds, and beatings in this emission involve only directly excited energy sublevels. In contras…
BaySize: Bayesian Sample Size Planning for Phase I Dose-Finding Trials
Xiaolei Lin, Jiaying Lyu, Shijie Yuan +2
We propose BaySize, a sample size calculator for phase I clinical trials using Bayesian models. BaySize applies the concept of effect size in dose finding, assuming the MTD is defi…
A Systematic Review of the Efforts and Hindrances of Modeling and Simulation of CAR T-cell Therapy
Ujwani Nukala, Marisabel Rodriguez Messan, Osman N. Yogurtcu +2
Chimeric Antigen Receptor (CAR) T-cell therapy is an immunotherapy that has recently become highly instrumental in the fight against life-threatening diseases. A variety of modelin…
Influence of shear rate and surface chemistry on thrombus formation in micro-crevice
Mansur Zhussupbekov, Wei-Tao Wu, Megan A. Jamiolkowski +2
Thromboembolic complications remain a central issue in management of patients on mechanical circulatory support. Despite the best practices employed in design and manufacturing of…
Hi3+3: A Model-Assisted Dose-Finding Design Borrowing Historical Data
Yunshan Duan, Sue-Jane Wang, Yuan Ji
Background -- In phase I clinical trials, historical data may be available through multi-regional programs, reformulation of the same drug, or previous trials for a drug under the…
A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study
Sarah N Dudgeon, Si Wen, Matthew G Hanna +19
Purpose: In this work, we present a collaboration to create a validation dataset of pathologist annotations for algorithms that process whole slide images (WSIs). We focus on data…
Scaling up the lattice dynamics of amorphous materials by orders of magnitude
Ivan Kriuchevskyi, Vladimir V. Palyulin, Rico Milkus +3
We generalise the non-affine theory of viscoelasticity for use with large, well-sampled systems of arbitrary chemical complexity. Having in mind predictions of mechanical and vibra…
Hadamard magnetization transfers achieve dramatic sensitivity enhancements in homonuclear multidimensional NMR correlations of labile sites in proteins, polysaccharides and nucleic acids
Mihajlo Novakovic, Eriks Kupce, Andreas Oxenfarth +4
EXSY, TOCSY and NOESY lie at the foundation of homonuclear NMR experiments in organic and pharmaceutical chemistry, as well as in structural biology. Limited magnetization transfer…