146 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Northwestern UniversityUS20 papers
- Northern Illinois UniversityUS5 papers
- Argonne National LaboratoryUS3 papers
- California Institute of TechnologyUS3 papers
- Edward Hines, Jr. VA HospitalUS3 papers
- Johns Hopkins UniversityUS3 papers
- Loyola University ChicagoUS3 papers
- National Cancer InstituteUS3 papers
- ProtonVDA (United States)US3 papers
- University College LondonGB3 papers
- University of California San DiegoUS3 papers
- BioLegend (United States)US2 papers
33 papers
Imaging-Based Mortality Prediction in Patients with Systemic Sclerosis
Alec K. Peltekian, Karolina Senkow, Gorkem Durak +23
Interstitial lung disease (ILD) is a leading cause of morbidity and mortality in systemic sclerosis (SSc). Chest computed tomography (CT) is the primary imaging modality for diagno…
Exploring the Relationship Between Swift Short Gamma-Ray Burst Afterglows and their Host Galaxy Properties
Cristian Castrejon, Anya E. Nugent, Wen-fai Fong +3
We present a comprehensive compilation of short-duration gamma-ray burst (GRB) afterglows in the X-ray, optical, and radio bands, comprising 150 events discovered primarily by the…
The Next Layer: Augmenting Foundation Models with Structure-Preserving and Attention-Guided Learning for Local Patches to Global Context Awareness in Computational Pathology
Muhammad Waqas, Rukhmini Bandyopadhyay, Eman Showkatian +12
Foundation models have recently emerged as powerful feature extractors in computational pathology, yet they typically omit mechanisms for leveraging the global spatial structure of…
Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge
Kang Wang, Chen Qin, Zhang Shi +46
Deep learning models have achieved state-of-the-art performance in automated Cardiac Magnetic Resonance (CMR) analysis. However, the efficacy of these models is highly dependent on…
Stochastic Entanglement Configuration for Constructive Entanglement Topologies in Quantum Machine Learning with Application to Cardiac MRI
Mehri Mehrnia, Mohammed S. M. Elbaz
Efficient entanglement strategies are essential for advancing variational quantum circuits (VQCs) for quantum machine learning (QML). However, most current approaches use fixed ent…
Curated loci prime editing (cliPE) for accessible multiplexed assays of variant effect (MAVEs)
Carina G Biar, Nicholas Bodkin, Gemma L Carvill +1
Multiplexed assays of variant effect (MAVEs) perform simultaneous characterization of many variants. Prime editing has been recently adopted for introducing many variants in their…
The IBEX Imaging Knowledge-Base: A Community Resource Enabling Adoption and Development of Immunofluoresence Imaging Methods
Ziv Yaniv, Ifeanyichukwu U. Anidi, Leanne Arakkal +59
The iterative bleaching extends multiplexity (IBEX) Knowledge-Base is a central portal for researchers adopting IBEX and related 2D and 3D immunofluorescence imaging methods. The d…
The IBEX Knowledge-Base: Achieving more together with open science
Andrea J. Radtke, Ifeanyichukwu Anidi, Leanne Arakkal +55
Iterative Bleaching Extends multipleXity (IBEX) is a versatile method for highly multiplexed imaging of diverse tissues. Based on open science principles, we created the IBEX Knowl…
The Impact of Loss Functions and Scene Representations for 3D/2D Registration on Single-view Fluoroscopic X-ray Pose Estimation
Chaochao Zhou, Syed Hasib Akhter Faruqui, Abhinav Patel +7
Many tasks performed in image-guided procedures can be cast as pose estimation problems, where specific projections are chosen to reach a target in 3D space. In this study, we firs…
A Comparative Study of Pretrained Language Models for Long Clinical Text
Yikuan Li, Ramsey M. Wehbe, Faraz S. Ahmad +2
Objective: Clinical knowledge enriched transformer models (e.g., ClinicalBERT) have state-of-the-art results on clinical NLP (natural language processing) tasks. One of the core li…
The Irradiation Instability of Protoplanetary Disks
Yanqin Wu, Yoram Lithwick
The temperature in most parts of a protoplanetary disk is determined by irradiation from the central star. Numerical experiments of Watanabe \& Lin (2008) suggested that such disks…
Why do Black Holes Trace Bulges (& Central Surface Densities), Instead of Galaxies as a Whole?
Philip F. Hopkins, Sarah Wellons, Daniel Angles-Alcazar +2
Previous studies of fueling black holes (BHs) in galactic nuclei have argued (on scales ~0.01-1000pc) accretion is dynamical with inflow rates $\dot{M}\simη\,M_{\rm gas}/t_{\rm dyn…
A Comparison of Proton Stopping Power Measured with Proton CT and x-ray CT in Fresh Post-Mortem Porcine Structures
Don F. DeJongh, Ethan A. DeJongh, Victor Rykalin +13
Purpose: Currently, calculations of proton range in proton therapy patients are based on a conversion of CT Hounsfield Units of patient tissues into proton relative stopping power.…
Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases
Zaid Nabulsi, Andrew Sellergren, Shahar Jamshy +20
Chest radiography (CXR) is the most widely-used thoracic clinical imaging modality and is crucial for guiding the management of cardiothoracic conditions. The detection of specific…
Analysis of characteristics of images acquired with a prototype clinical proton radiography system
Christina Sarosiek, Ethan A. DeJongh, George Coutrakon +8
Verification of patient specific proton stopping powers obtained in the patient treatment position can be used to reduce the distal margins needed in particle beam planning. Proton…
Technical Note: A fast and monolithic prototype clinical proton radiography system optimized for pencil beam scanning
Ethan A. DeJongh, Don F. DeJongh, Igor Polnyi +9
Purpose: To demonstrate a proton imaging system based on well-established fast scintillator technology to achieve high performance with low cost and complexity, with the potential…
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time
Weichen Wang, Jiequn Han, Zhuoran Yang +1
Reinforcement learning is a powerful tool to learn the optimal policy of possibly multiple agents by interacting with the environment. As the number of agents grow to be very large…
Cosmological simulations of quasar fueling to sub-parsec scales using Lagrangian hyper-refinement
Daniel Anglés-Alcázar, Eliot Quataert, Philip Hopkins +7
We present cosmological hydrodynamic simulations of a quasar-mass halo ( at z=2) that for the first time resolve gas transport down…
Radiation Tests of Hamamatsu Multi-Pixel Photon Counters
G. Blazey, J. Colston, A. Dyshkant +9
Results of radiation tests of Hamamatsu 2.0 x 2.0~mm2 through-silicon-via (S13360-2050VE) multi-pixel photon counters, or MPPCs [1], are presented. Distinct sets of eight MPPCs wer…
Astro 2020 Science White Paper: Joint Gravitational Wave and Electromagnetic Astronomy with LIGO and LSST in the 2020's
Philip S. Cowperthwaite, Hsin-Yu Chen, Ben Margalit +4
The blossoming field of joint gravitational wave and electromagnetic (GW-EM) astronomy is one of the most promising in astronomy. The first, and only, joint GW-EM event GW170817 pr…
The Discovery Potential of Space-Based Gravitational Wave Astronomy
Neil J. Cornish, Emanuele Berti, Kelly Holley-Bockelmann +5
A space-based interferometer operating in the previously unexplored mHz gravitational band has tremendous discovery potential. If history is any guide, the opening of a new spectra…
Supermassive Black Hole Feedback
Mateusz Ruszkowski, Daisuke Nagai, Irina Zhuravleva +23
Understanding the processes that drive galaxy formation and shape the observed properties of galaxies is one of the most interesting and challenging frontier problems of modern ast…
Studying Magnetic Fields in Star Formation and the Turbulent Interstellar Medium
Laura Fissel, Charles L. H. Hull, Susan E. Clark +10
Understanding the physics of how stars form is a highly-prioritized goal of modern Astrophysics, in part because star formation is linked to both galactic dynamics on large scales…
Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms
Yizhen Zhong, Luke Rasmussen, Yu Deng +10
The automatic development of phenotype algorithms from Electronic Health Record data with machine learning (ML) techniques is of great interest given the current practice is very t…