Joshua V. Stough

16 papers B 7Journal 4Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Large-scale Multimodal Study for Predicting Mortality Risk Using Minimal and Low Parameter Models and Separable Risk Assessment. IEEE J. Biomed. Health Informatics Alvaro E. Ulloa Cerna, David P. vanMaanen, Linyuan Jing, Joshua V. Stough, Aalpen A. Patel, Christopher M. Haggerty, Brandon K. Fornwalt, Marios S. Pattichis
2023	B	`conf`	Co-Unet-GAN: a co-learning domain adaptation model on echocardiography segmentation. Image Processing Junyang Cai, Christopher M. Haggerty, Joshua V. Stough
2022	J	`jnl`	Bayesian Optimization of 2D Echocardiography Segmentation. CoRR Son-Tung Tran, Joshua V. Stough, Xiaoyan Zhang, Christopher M. Haggerty
2022	B	`conf`	Fully automated multi-heartbeat echocardiography video segmentation and motion tracking. Image Processing Yida Chen, Xiaoyan Zhang, Christopher M. Haggerty, Joshua V. Stough
2022	B	`conf`	Perceptually improved T1-T2 MRI translations using conditional generative adversarial networks. Image Processing Anurag Vaidya, Joshua V. Stough, Aalpen A. Patel
2021	B	`conf`	Assessing the generalizability of temporally coherent echocardiography video segmentation. Image Processing Yida Chen, Xiaoyan Zhang, Christopher M. Haggerty, Joshua V. Stough
2021	—	`conf`	Bayesian Optimization of 2D Echocardiography Segmentation. ISBI Tung Tran, Joshua V. Stough, Xiaoyan Zhang, Christopher M. Haggerty
2020	B	`conf`	Left ventricular and atrial segmentation of 2D echocardiography with convolutional neural networks. Image Processing Joshua V. Stough, Sushravya Raghunath, Xiaoyan Zhang, John M. Pfeifer, Brandon K. Fornwalt, Christopher M. Haggerty
2019	J	`jnl`	Interpretable Neural Networks for Predicting Mortality Risk using Multi-modal Electronic Health Records. CoRR Alvaro E. Ulloa Cerna, Marios Pattichis, David P. vanMaanen, Linyuan Jing, Aalpen A. Patel, Joshua V. Stough, Christopher M. Haggerty, Brandon K. Fornwalt
2018	—	`conf`	Ventricular segmentation and quantitative assessment in cardiac MR using convolutional neural networks. Biomedical Applications in Molecular, Structural, and Functional Imaging Joshua V. Stough, Joseph DiPalma, Zilin Ma, Brandon K. Fornwalt, Christopher M. Haggerty
2017	J	`jnl`	Thalamus segmentation using multi-modal feature classification: Validation and pilot study of an age-matched cohort. NeuroImage Jeffrey Glaister, Aaron Carass, Tziona NessAiver, Joshua V. Stough, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince
2016	B	`conf`	Thalamus parcellation using multi-modal feature classification and thalamic nuclei priors. Image Processing Jeffrey Glaister, Aaron Carass, Joshua V. Stough, Peter A. Calabresi, Jerry L. Prince
2014	—	`conf`	Automatic Method for Thalamus Parcellation Using Multi-modal Feature Classification. MICCAI (3) Joshua V. Stough, Jeffrey Glaister, Chuyang Ye, Sarah H. Ying, Jerry L. Prince, Aaron Carass
2013	—	`conf`	Thalamic parcellation from multi-modal data using random forest learning. ISBI Joshua V. Stough, Chuyang Ye, Sarah H. Ying, Jerry L. Prince
2008	—	`—`	Clustering and Shifting of Regional Appearance for Deformable Model Segmentation. Joshua V. Stough
2008	B	`conf`	Conditional-mean initialization using neighboring objects in deformable model segmentation. Image Processing Ja-Yeon Jeong, Joshua V. Stough, James Stephen Marron, Stephen M. Pizer