Joshua V. Stough

According to our database, Joshua V. Stough authored at least 22 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Co-Unet-GAN: a co-learning domain adaptation model on echocardiography segmentation.

Junyang Cai, Christopher M. Haggerty, Joshua V. Stough

Proceedings of the Medical Imaging 2023: Image Processing, 2023

2022

Bayesian Optimization of 2D Echocardiography Segmentation.

Son-Tung Tran, Joshua V. Stough, Xiaoyan Zhang, Christopher M. Haggerty

CoRR, 2022

Perceptually improved T1-T2 MRI translations using conditional generative adversarial networks.

Anurag Vaidya, Joshua V. Stough, Aalpen A. Patel

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Fully automated multi-heartbeat echocardiography video segmentation and motion tracking.

Yida Chen, Xiaoyan Zhang, Christopher M. Haggerty, Joshua V. Stough

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Smartphone-Based Turbidity Estimation with Inherent Calibration.

Ding Zhang, Alan Marchiori, Joshua Stough

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021

Assessing the generalizability of temporally coherent echocardiography video segmentation.

Yida Chen, Xiaoyan Zhang, Christopher M. Haggerty, Joshua V. Stough

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Bayesian Optimization of 2D Echocardiography Segmentation.

Tung Tran, Joshua V. Stough, Xiaoyan Zhang, Christopher M. Haggerty

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Left ventricular and atrial segmentation of 2D echocardiography with convolutional neural networks.

Joshua V. Stough, Sushravya Raghunath, Xiaoyan Zhang, John M. Pfeifer, Brandon K. Fornwalt, Christopher M. Haggerty

Proceedings of the Medical Imaging 2020: Image Processing, 2020

2019

Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data.

Sushravya Raghunath, Alvaro E. Ulloa Cerna, Linyuan Jing, David P. vanMaanen, Joshua Stough, Dustin N. Hartzel, Joseph B. Leader, H. Lester Kirchner, Christopher W. Good, Aalpen A. Patel, Brian P. Delisle, Amro Alsaid, Dominik Beer, Christopher M. Haggerty, Brandon K. Fornwalt

CoRR, 2019

Interpretable Neural Networks for Predicting Mortality Risk using Multi-modal Electronic Health Records.

Alvaro E. Ulloa Cerna, Marios Pattichis, David P. vanMaanen, Linyuan Jing, Aalpen A. Patel, Joshua V. Stough, Christopher M. Haggerty, Brandon K. Fornwalt

CoRR, 2019

2018

Ventricular segmentation and quantitative assessment in cardiac MR using convolutional neural networks.

Joshua V. Stough, Joseph DiPalma, Zilin Ma, Brandon K. Fornwalt, Christopher M. Haggerty

Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

2017

Thalamus segmentation using multi-modal feature classification: Validation and pilot study of an age-matched cohort.

Jeffrey Glaister, Aaron Carass, Tziona NessAiver, Joshua V. Stough, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince

NeuroImage, 2017

2016

Thalamus parcellation using multi-modal feature classification and thalamic nuclei priors.

Jeffrey Glaister, Aaron Carass, Joshua V. Stough, Peter A. Calabresi, Jerry L. Prince

Proceedings of the Medical Imaging 2016: Image Processing, 2016

2014

Automatic Method for Thalamus Parcellation Using Multi-modal Feature Classification.

Joshua V. Stough, Jeffrey Glaister, Chuyang Ye, Sarah H. Ying, Jerry L. Prince, Aaron Carass

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013

Thalamic parcellation from multi-modal data using random forest learning.

Joshua V. Stough, Chuyang Ye, Sarah H. Ying, Jerry L. Prince

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2008

Conditional-mean initialization using neighboring objects in deformable model segmentation.

Ja-Yeon Jeong, Joshua V. Stough, James Stephen Marron, Stephen M. Pizer

Proceedings of the Medical Imaging 2008: Image Processing, 2008

2007

Clustering on Local Appearance for Deformable Model Segmentation.

Joshua Stough, Robert E. Broadhurst, Stephen M. Pizer, Edward L. Chaney

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Regional Appearance in Deformable Model Segmentation.

Joshua Stough, Robert E. Broadhurst, Stephen M. Pizer, Edward L. Chaney

Proceedings of the Information Processing in Medical Imaging, 2007

2006

A statistical appearance model based on intensity quantile histograms.

Robert E. Broadhurst, Joshua Stough, Stephen M. Pizer, Edward L. Chaney

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2005

Deep Structure of Images in Populations Via Geometric Models in Populations.

Stephen M. Pizer, Ja-Yeon Jeong, Robert E. Broadhurst, Sean Ho, Joshua Stough

Proceedings of the Deep Structure, 2005

Histogram Statistics of Local Model-Relative Image Regions.

Robert E. Broadhurst, Joshua Stough, Stephen M. Pizer, Edward L. Chaney

Proceedings of the Deep Structure, 2005

2004

Clustering On Image Boundary Regions for Deformable Model Segmentation.

Joshua Stough, Stephen M. Pizer, Edward L. Chaney, Manjari Rao

Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004