101 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Georgia State UniversityUS3 papers
- Mind Research NetworkUS3 papers
- Tulane UniversityUS3 papers
- University of Nebraska at OmahaUS3 papers
- Emory UniversityUS2 papers
- German Cancer Research CenterDE2 papers
- Harvard UniversityUS2 papers
- HES-SO University of Applied Sciences and Arts Western SwitzerlandCH2 papers
- Iowa State UniversityUS2 papers
- Johns Hopkins UniversityUS2 papers
- Memorial Sloan Kettering Cancer CenterUS2 papers
- Nebraska Medical CenterUS2 papers
25 papers
Determination of bonding radii from small-molecule crystal structures
Eglė Šidlauskaitė, Andrius Merkys, Antanas Vaitkus +2
X-ray crystallography rarely captures chemical bonding between atoms of a structure in question. Most of the time distance-based heuristics are applied to establish the pairs of bo…
Efficient Coherence Inference Using the Demodulated Band Transform and a Generalized Linear Model
Md Rakibul Mowla, Sukhbinder Kumar, Ariane E. Rhone +2
Statistical significance testing of neural coherence is essential for distinguishing genuine cross-signal coupling from spurious correlations. A widely accepted approach uses surro…
Automated segmentation of pediatric neuroblastoma on multi-modal MRI: Results of the SPPIN challenge at MICCAI 2023
M. A. D. Buser, D. C. Simons, M. Fitski +27
Surgery plays an important role within the treatment for neuroblastoma, a common pediatric cancer. This requires careful planning, often via magnetic resonance imaging (MRI)-based…
3DGAUnet: 3D generative adversarial networks with a 3D U-Net based generator to achieve the accurate and effective synthesis of clinical tumor image data for pancreatic cancer
Yu Shi, Hannah Tang, Michael Baine +5
Pancreatic ductal adenocarcinoma (PDAC) presents a critical global health challenge, and early detection is crucial for improving the 5-year survival rate. Recent medical imaging a…
Organic Electronics in Biosensing: A Promising Frontier for Medical and Environmental Applications
Jyoti Bala Kaushal, Pratima Raut, Sanjay Kumar
The promising field of organic electronics has ushered in a new era of biosensing technology, offering a promising frontier for applications in both medical diagnostics and environ…
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Jianning Li, Zongwei Zhou, Jiancheng Yang +154
Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…
Improving Clinician Performance in Classification of EEG Patterns on the Ictal-Interictal-Injury Continuum using Interpretable Machine Learning
Alina Jade Barnett, Zhicheng Guo, Jin Jing +12
In intensive care units (ICUs), critically ill patients are monitored with electroencephalograms (EEGs) to prevent serious brain injury. The number of patients who can be monitored…
Deep Learning-based Protoacoustic Signal Denoising for Proton Range Verification
Jing Wang, James J. Sohn, Yang Lei +5
Objective: Proton therapy offers an advantageous dose distribution compared to the photon therapy, since it deposits most of the energy at the end of range, namely the Bragg peak (…
Estimation of circular statistics in the presence of measurement bias
Abdallah Alsammani, William C. Stacey, Stephen V. Gliske
Background and objective. Circular statistics and Rayleigh tests are important tools for analyzing the occurrence of cyclic events. However, current methods fail in the presence of…
Sustainable Development Through a Mobile Application for a Community Clinic
Martina A. Clarke, Sajda Qureshi, Timi Barone +1
Implementing Information and Communication Technology (ICT) solutions can alleviate pressing problems in society and are a central component of sustainable development. Often, heal…
Sugar and Stops in Drivers with Insulin-Dependent Type 1 Diabetes
Ashirwad Barnwal, Pranamesh Chakraborty, Anuj Sharma +6
Diabetes is a major public health challenge worldwide. Abnormal physiology in diabetes, particularly hypoglycemia, can cause driver impairments that affect safe driving. While diab…
Functional connectome fingerprinting: Identifying individuals and predicting cognitive function via deep learning
Biao Cai, Gemeng Zhang, Aiying Zhang +6
The dynamic characteristics of functional network connectivity have been widely acknowledged and studied. Both shared and unique information has been shown to be present in the con…
A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence
Aiying Zhang, Gemeng Zhang, Biao Cai +4
Emotion perception is essential to affective and cognitive development which involves distributed brain circuits. The ability of emotion identification begins in infancy and contin…
Causal inference of brain connectivity from fMRI with -Learning Incorporated Linear non-Gaussian Acyclic Model (-LiNGAM)
Aiying Zhang, Gemeng Zhang, Biao Cai +6
Functional connectivity (FC) has become a primary means of understanding brain functions by identifying brain network interactions and, ultimately, how those interactions produce c…
Convex and Non-convex Approaches for Statistical Inference with Class-Conditional Noisy Labels
Hyebin Song, Ran Dai, Garvesh Raskutti +1
We study the problem of estimation and testing in logistic regression with class-conditional noise in the observed labels, which has an important implication in the Positive-Unlabe…
Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions
Luis Riera, Koray Ozcan, Jennifer Merickel +3
In this paper, we present a novel model to detect lane regions and extract lane departure events (changes and incursions) from challenging, lower-resolution videos recorded with mo…
Semiparametric regression and risk prediction with competing risks data under missing cause of failure
Giorgos Bakoyannis, Ying Zhang, Constantin T. Yiannoutsos
The cause of failure in cohort studies that involve competing risks is frequently incompletely observed. To address this, several methods have been proposed for the semiparametric…
Modeling the Effects of Multiple Myeloma on Kidney Function
Julia C. Walk, Bruce P. Ayati, Sarah A. Holstein
Multiple myeloma (MM), a plasma cell cancer, is associated with many health challenges, including damage to the kidney by tubulointerstitial fibrosis. We develop a mathematical mod…
Rotation Effects on the Target-Volume Margin Determination
Qinghui Zhang, Weijun Xiong, M. Chan +2
Rotational setup errors are usually neglected in most clinical centers. An analytical formula is developed to determine the extra margin between clinical target volume (CTV) and pl…
A new variable for SRS plan quality evaluation based on normal tissue sparing: The Effect of Prescription Isodose Levels
Q. Zhang, D. Zheng, Y. Lei +10
Objectives: A new dosimetric variable, dose dropping speed (DDS), was proposed and used to evaluate normal tissue sparing among stereotactic radiosurgery (SRS) plans with different…
Three independent one-dimensional margins for single-fraction frameless stereotactic radiosurgery brain cases using CBCT
Qinghui Zhang, Maria Chan, Chandra Burman +2
Setting a proper margin is crucial for not only delivering the required radiation dose to a target volume, but also reducing the unnecessary radiation to the adjacent organs at ris…
Modeling and simulation of a low grade urinary bladder carcinoma
Svetlana Bunimovich-Mendrazitsky, Vladimir Pisarev, Eugene Kashdan
In this work, we present a mathematical model of the initiation and progression of a low-grade urinary bladder carcinoma. We simulate the crucial processes involved in tumor growth…
Cross-training with Imperfect training Schemes
Burak Buke, Ozgur M. Araz, John W. Fowler
Cross-training workers is one of the most efficient ways to achieve flexibility in manufacturing and service systems to increase responsiveness to demand variability. However, it i…
The Limitations of Simple Gene Set Enrichment Analysis Assuming Gene Independence
Pablo Tamayo, George Steinhardt, Arthur Liberzon +1
Since its first publication in 2003, the Gene Set Enrichment Analysis (GSEA) method, based on the Kolmogorov-Smirnov statistic, has been heavily used, modified, and also questioned…