Overview of My Research 


Deep Learning (on Medical Images)

   
Y. Huo, Z. Xu, Y. Xiong, K. Aboud, P. Parvathaneni, S. Bao, C. Bermudez, L. Cutting, S. Resnick, and B. Landman. 
3D whole brain segmentation using spatially localized atlas network tiles
[arXiv][project][code]
NeuroImage 2019
   
Y. Huo, Z. Xu, H. Moon, S. Bao, A. Assad, T. Moyo, M. Savona, R. Abramson, B. Landman. 

SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth
[arXiv] [project] [code] [video]
IEEE Transactions on Medical Imaging (TMI) 2018
     
Y. Huo, Z. Xu, S. Bao, C. Bermudez, H. Moon, P. Parvathaneni, T. Moyo, M. Savona, A. Assad, R. Abramson, B. Landman. 
Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks
IEEE Transactions on Medical Imaging (TMI) 2018

     
Y. Huo, J. Terry, J. Wang, V. Nath, C. Bermudez, S. Bao, P. Parvathaneni, J. Carr, B. Landman 
Coronary Calcium Detection using 3D Attention Identical Dual Deep Network Based on Weakly Supervised Learning.
SPIE 2019 (Oral Presentation(Accepted)
     
Y. Huo, Z. Xu, K. Aboud, P. Parvathaneni, S. Bao, C. Bermudez, L. Cutting, S. Resnick, and B. Landman. 
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data
[arXiv][project][code]
MICCAI 2018
    [Z. Xu & Y. Huo], J. Park, B. Landman, A. Milkowski, S. Grbic, S. Zhou.  (Co-first Author)
Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images
[arXiv]
MICCAI 2018
   
Y. Huo, Z. Xu, S. Bao, A. Assad, R. Abramson, B. Landman

Adversarial Synthesis Learning Enables Segmentation without Target Modality Ground Truth.
[arXiv] [project] [code] [video]
ISBI 2018 (Oral Presentation


   
Y. Huo, Z. Xu, S. Bao, C. Bermudez, A. Plassard, J. Liu, Y. Yao, A. Assad, R. Abramson, B. Landman
Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks.
[arXiv]

SPIE 2018 (Oral Presentation)
     

Medical Image Processing (using Machine Learning)


MaCRUISE  



Y. Huo
, A. Plassard, A. Carass, S. Resnick, D. Pham, J. Prince, B. Landman.
Consistent Cortical Reconstruction and Multi-atlas Brain Segmentation.
NeuroImage. 2016
[download]
 
Y. Huo, A. Asman, A. Plassard, B. Landman
Simultaneous total intracranial volume and posterior fossa volume estimation using multi-atlas label fusion.
Human Brain Mapping. 2016
[download]
 

Y. Huo, J. Liu, Z. Xu,R. Harrigan, A. Assad, R. Abramson, B. Landman. 
Robust Multi-contrast MRI Spleen Segmentation for Splenomegaly using Multi-atlas Segmentation.
IEEE Trans. on Biomedical Engineering (TBME). 2017 (Accepted)
[download]
 


Y. Huo
, A. Carass, S. Resnick, D. Pham, J. Prince, B. Landman
Combining multi-atlas segmentation with brain surface estimation.
SPIE 2016 (Oral Presentation)


 
Y. Huo, S. Resnick, B. Landman.
4D Multi-atlas Label Fusion using Longitudinal Images. 
PatchMI 2017
Data Science & Statistics (on Big Data)



 
Y. Huo, A. Asman, A. Plassard, B. Landman

Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-sectional Multi-site MRI
MICCAI 2016 (Oral Presentation, ~= 5%)
   

A. Asman, 
Y. Huo*, A. Plassard, B Landman. (*Corresponding Author)
Multi-atlas Learner Fusion: An efficient segmentation approach for large-scale data.
Medical Image Analyses. 2016
 
Y. Huo, K. Swett, S. Resnick, L. Cutting, B. Landman
Data-driven Probabilistic Atlases Capture Whole-brain Individual Variation.
MAPPING  2015 (Oral Presentation)
   
S. Bao, Y. Huo, P. Parvathaneni, A. Plassard, C. Bermudez, Y. Yao, I. lyu, A. Gokhale, B. Landman
A Data Colocation Grid Framework for Big Data Medical Image Processing – Backend Design.
SPIE 2018 (Accepted)
  S. Bao, F. Weitendorf, A. Plassard, Y. Huo, A. Gokhale, B. Landman.
Theoretical and empirical comparison of big data image processing with Apache Hadoop and Sun Grid Engine.
SPIE  2017 (Oral Presentation)


Computer Graphics & Visualization (on Surface Modeling)

 

Y. Huo, S. Bao, P. Parvathaneni, B. Landman
Improved Stability of Whole Brain Surface Parcellation with Multi-atlas Segmentation.
SPIE 2018 (Accepted)
   
Y. Huo, V. Braxton, D. Herrell, B. Landman, S. De.
Automated Characterization of Pyelocalyceal Anatomy Using CT Urograms to Aid in Management of Kidney Stones.
CLIP 2017 (Oral Presentation)
   
P. Parvathaneni, B. Rogers, 
Y. Huo, K. Schilling, A. Hainline, A. Anderson, N. Woodward, B. Landman 
Gray Matter Surface based Spatial Statistics (GS-BSS) in Diffusion Microstructure
MICCAI 2017
Artificial Intelligence (on Optimization)


 
Y. Huo, G. Wei, Y. Zhang, and L. Wu
An adaptive threshold for the Canny Operator of edge detection.
IASP. 2010
  Y. Huo, Y. Zhang, S. Wang, and L. Wu.
Diffusion Tensor Image Registration Based on Demon-Affine Method and FSGA-BFGS Algorithm.
Journal of Convergence Information Technology, 2011


List of Publications