733 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Indiana University – Purdue University IndianapolisUS38 papers
- Indiana University IndianapolisUS11 papers
- Indiana UniversityUS9 papers
- Purdue University West LafayetteUS7 papers
- University of PennsylvaniaUS6 papers
- University of TorontoCA6 papers
- University of ZurichCH6 papers
- Yale UniversityUS6 papers
- German Cancer Research CenterDE5 papers
- Heidelberg UniversityDE5 papers
- Cornell UniversityUS4 papers
- Harvard UniversityUS4 papers
57 papers
PsSource: an installable Geant4 extension for transport-coupled positronium annihilation with validated Ore-Powell three-photon physics
Jason G Parker
PsSource is an installable Geant4 extension for configurable positronium-aware terminal positron annihilation. Geant4 transports the positron normally, after which PsSource replace…
Disability, Job Satisfaction, and Workplace Accommodations: Evidence from the Healthcare Industry
Yana Rodgers, Lisa Schur, Flora Hammond +3
Purpose. This paper examines the extent to which job satisfaction, requests for accommodations, and the likelihood of a request being granted vary by disability status. We further…
Work from Home and Job Satisfaction: Differences by Disability Status among Healthcare Workers
Yana Rodgers, Lisa Schur, Flora Hammond +3
Background: Many workers with disabilities face negative stereotypical attitudes, pay gaps, and a lack of respect in the workplace, contributing to substantially lower job satisfac…
The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning
Akis Linardos, Sarthak Pati, Ujjwal Baid +25
We present the design and results of the MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024, which focuses on federated learning (FL) for glioma sub-region segmentation in m…
Self-Supervised Joint Reconstruction and Denoising of T2-Weighted PROPELLER MRI of the Lungs at 0.55T
Jingjia Chen, Haoyang Pei, Christoph Maier +6
Purpose: This study aims to improve 0.55T T2-weighted PROPELLER lung MRI through a self-supervised joint reconstruction and denoising model. Methods: T2-weighted 0.55T lung MRI dat…
Magneto: Combining Small and Large Language Models for Schema Matching
Yurong Liu, Eduardo Pena, Aecio Santos +2
Recent advances in language models opened new opportunities to address complex schema matching tasks. Schema matching approaches have been proposed that demonstrate the usefulness…
The co-varying ties between networks and item responses via latent variables
Selena Wang, Plamena Powla, Tracy Sweet +1
Relationships among teachers are known to influence their teaching-related perceptions. We study whether and how teachers' advising relationships (networks) are related to their pe…
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…
Comprehensive Overview of Bottom-up Proteomics using Mass Spectrometry
Yuming Jiang, Devasahayam Arokia Balaya Rex, Dina Schuster +16
Proteomics is the large scale study of protein structure and function from biological systems through protein identification and quantification. "Shotgun proteomics" or "bottom-up…
Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis of Dynamic Contrast-enhanced Cardiac MRI Datasets
Dilek M. Yalcinkaya, Khalid Youssef, Bobak Heydari +4
Dynamic contrast-enhanced (DCE) cardiac magnetic resonance imaging (CMRI) is a widely used modality for diagnosing myocardial blood flow (perfusion) abnormalities. During a typical…
A Hybrid Chimp Optimization Algorithm and Generalized Normal Distribution Algorithm with Opposition-Based Learning Strategy for Solving Data Clustering Problems
Sayed Pedram Haeri Boroujeni, Elnaz Pashaei
This paper is concerned with data clustering to separate clusters based on the connectivity principle for categorizing similar and dissimilar data into different groups. Although c…
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner +75
Validation metrics are key for the reliable tracking of scientific progress and for bridging the current chasm between artificial intelligence (AI) research and its translation int…
Comparative Assessment of Biomechanical Parameters in Subjects With Multiple Cerebral Aneurysms Using Fluid--Structure Interaction Simulations
Tanmay C. Shidhore, Aaron A. Cohen-Gadol, Vitaliy L. Rayz +1
Cerebral aneurysm progression is a result of a complex interplay of the biomechanical and clinical risk factors that drive aneurysmal growth and rupture. Subjects with multiple ane…
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru +352
The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…
Metrics reloaded: Recommendations for image analysis validation
Lena Maier-Hein, Annika Reinke, Patrick Godau +71
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Particularly in automatic biomedical image analysis, chosen…
Mathematical model of subthalamic nucleus neuron: characteristic activity patterns and bifurcation analysis
Choongseok Park, Leonid L. Rubchinsky, Sungwoo Ahn
The subthalamic nucleus (STN) has an important role in the pathophysiology of the basal ganglia in Parkinson's disease. The ability of STN cells to generate bursting rhythms under…
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models
Raphael Ronge, Kwangsik Nho, Christian Wachinger +1
The current state-of-the-art deep neural networks (DNNs) for Alzheimer's Disease diagnosis use different biomarker combinations to classify patients, but do not allow extracting kn…
The Federated Tumor Segmentation (FeTS) Challenge
Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29
This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…
Temporal patterns of synchrony in a pyramidal-interneuron gamma (PING) network
Quynh-Anh Nguyen, Leonid L Rubchinsky
Synchronization in neural system plays an important role in many brain functions. Synchronization in the gamma frequency band (30Hz-100Hz) is involved in a variety of cognitive phe…
Multiscale Comparative Connectomics
Vivek Gopalakrishnan, Jaewon Chung, Eric Bridgeford +8
The connectome, a map of the structural and/or functional connections in the brain, provides a complex representation of the neurobiological phenotypes on which it supervenes. This…
Supervised clustering of high dimensional data using regularized mixture modeling
Wennan Chang, Changlin Wan, Yong Zang +2
Identifying relationships between molecular variations and their clinical presentations has been challenged by the heterogeneous causes of a disease. It is imperative to unveil the…
Learning Hamiltonian Monte Carlo in R
Samuel Thomas, Wanzhu Tu
Hamiltonian Monte Carlo (HMC) is a powerful tool for Bayesian computation. In comparison with the traditional Metropolis-Hastings algorithm, HMC offers greater computational effici…
Spike-Timing Dependent Plasticity Effect on the Temporal Patterning of Neural Synchronization
Joel Zirkle, Leonid L Rubchinsky
Neural synchrony in the brain at rest is usually variable and intermittent, thus intervals of predominantly synchronized activity are interrupted by intervals of desynchronized act…