Overview of My Research
Deep Learning (on Medical Images)
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
MICCAI 2018
(Accepted)
[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
MICCAI 2018
(Accepted)
Y. Huo, Z. Xu, S. Bao, C. Bermudez, H. Moon, P. Parvathaneni, T. Moyo, Mi. Savona, A. Assad, R. Abramson, and B. Landman.
Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks
(Under Review)
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.
SPIE 2018 (Oral Presentation)
Medical Image Processing (using Machine Learning)
Y. Huo, A. Plassard, A. Carass, S. Resnick, D. Pham, J. Prince, B. Landman.
Consistent Cortical Reconstruction and Multi-atlas Brain Segmentation.
NeuroImage. 2016
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
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. 2017 (Accepted)
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
Journal
Y. Huo, Z. Xu, S. Bao, C. Bermudez, H. Moon, P. Parvathaneni, T. Moyo, Mi. Savona, A. Assad, R. Abramson, and B. Landman. "Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks" (IEEE Transactions on Medical Imaging, 2018.)
Y. Huo*, J. Blaber*, S. Damon, B. Boyd, S. Bao, P. Parvathaneni, C. Bermudez, S. Chaganti, V. Nath, J. Greer, I. Lyu, W. French, A. Newton, B. Rogers, B. Landman. "Towards Portable Large-scale Image Pro- cessing with High-Performance Computing" . Journal of Digital Imaging. 2018. (*Equal Contribution)
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 Transactions on Biomedical Engineering, 2017.
S. Carnell, L. Benson, Z. Wang, Y. Huo, A. Geliebter, B. Peterson. "Neural correlates of familial obesity risk and overweight in adolescence" NeuroImage, 2017.
Y. Huo, A. Plassard, A. Carass, S. Resnick, D. Pham, J. Prince, B. Landman, "Consistent Cortical Reconstruction and Multi-atlas Brain Segmentation," NeuroImage, 2016.
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.
J. Desai, Y. Huo, Z. Wang, R. Bansal, S. Williams, D. Lythgoe, F. Zelaya, B. Peterson, "Reduced perfusion in Broca's area in developmental stuttering," Human Brain Mapping, 2016.
K. Denisova, G. Zhao, Z. Wang, S. Goh, Y. Huo, B. Peterson, "Cortical interactions during the resolution of information processing demands in autism spectrum disorders," Brain and Behavior, 2016.
Q. Tian, S. Resnick, B. Landman, Y. Huo, V. Venkatraman, C. Gonzalez, E. Simonsick, M. Shardell, L. Ferrucci, S. Studenski, "Lower gray matter integrity is associated with greater lap time variation in high-functioning older adults," Experimental Gerontology. 2016.
K. Denisova, G. Zhao, Z. Wang, S. Goh, Y. Huo, B. Peterson, "Consistent Cortical Reconstruction and Multi-atlas Brain Segmentation," Brain and Behavior, 2016. In Press
A. Asman, Y. Huo*, A. Plassard, B Landman. "Multi-atlas Learner Fusion: An efficient segmentation approach for large-scale data," Medical Image Analysis, 2015. (*Corresponding Author)
T. Colibazzi, G. Horga, Z. Wang, Y. Huo, C. Corcoran, K. Klahr, G. Brucato, R. Girgis, K. Gill, A. Abi-Dargham, B. Peterson. "Neural Dysfunction in Cognitive Control Circuits in Persons at Clinical High-Risk for Psychosis," Neuropsychopharmacology, 2015.
A. Tseng, Z. Wang, Y. Huo, S. Goh, J. A. Russell, and B. Peterson, "Differences in Neural Activity when Processing Emotional Arousal and Valence in Autism Spectrum Disorders." Human Brain Mapping, 2015.
R. Marsh, G. Z. Tau, Z. Wang, Y. Huo, G. Liu, X. Hao, M. G. Packard, B. Peterson, and H. B. Simpson, "Reward-based spatial learning in unmedicated adults with Obsessive-Compulsive Disorder," American Journal of Psychiatry, 2014.
J. Liu, Z. Wang, Y. Huo, S. M. Davidson, K. Klahr, C. L. Herder, C. O. Sikora, and B. Peterson, "A Functional Imaging Study of Self-Regulatory Capacities in Persons Who Stutter," PloS one, 2014.
T. Colibazzi, A. Abi-Dargham, G. Horga, Y. Huo, and Z. Wang, "ABNORMALITIES OF FRONTOSTRIATAL CIRCUITS IN THE PSYCHOSIS PRODROME," Schizophrenia Research, 2014.
A. Landa, Z. Wang, J. A. Russell, J. Posner, Y. Duan, A. Kangarlu, Y. Huo, B. A. Fallon, and B. S. Peterson, "Distinct neural circuits subserve interpersonal and non-interpersonal emotions," Social neuroscience, 2013.
K. Denisova, Z. Wang, Y. Huo, and B. Peterson, "Neural Correlates of Congruency Sequence Effects in Autism Spectrum Disorders," Journal of Vision, 2013.
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.
Y. Zhang, S. Wang, L. Wu, and Y. Huo, "Multi-channel diffusion tensor image registration via adaptive chaotic PSO," Journal of Computer, 2011.
Y. Zhang, S. Wang, L. Wu, and Y. Huo, "Artificial immune system for protein folding model," Journal of Convergence Information Technology, 2011.
Y. Zhang, Z. Zhou, X. Wang, S. Wang, Y. Huo, G. Wei, and L. Wu, "Novel Region Labeling Method for Cellular Images," Journal of System Simulation, 2010.
Y. Zhang, S. Wang, L. Wu, and Y. Huo, "PSONN used for Remote-Sensing Image Classification," Journal of Computational Information Systems, 2010.
Y. Zhang, S. Wang, Y. Huo, L. Wu, and A. Liu, "Feature extraction of brain MRI by stationary wavelet transform and its applications," Journal of Biological Systems, 2010.
Y. Zhang, Y. Huo, Q. Zhu, S. Wang, and L. Wu, "Polymorphic BCO for Protein Folding Model," Journal of Computational Information Systems, 2010.
Highly Selective Conferences (Acceptance Rate <= 30%)
Y. Huo, K. Aboud, H. Kang, L. Cutting, B. Landman. "Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-sectional Multi-site MRI" MICCAI 2016, (Oral Presentation < 5%).
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, (Best Student Paper Finalist).
Conference (Full Length Paper)
Y. Huo, Z. Xu, S. Bao, A. Assad, R. Abramson, B. Landman. "Adversarial Synthesis Learning Enables Segmentation without Target Modality Ground Truth." ISBI 2018.
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." SPIE 2018.
Y. Huo, S. Bao, P. Parvathaneni, B. Landman. "Improved Stability of Whole Brain Surface Parcellation with Multi-atlas Segmentation." SPIE 2018.
Y. Huo, S. Resnick, B. Landman. "4D Multi-atlas Label Fusion using Longitudinal Images." PatchMI 2017.
C. Bermudez, A. Plassard, Y. Huo, K. Aboud, L. Cutting, S. Resnick., B. Landman. Improved Prediction of Chronological Age Using Deep Learning on T1-weighted MRI Structural Features. MICCAI Workshop 2017.
M. Bobo, S. Bao, Y. Huo, Y. Yao, J. Virostko, J. Liu, S. Chaganti, A. Plassard, I. Lyu, B. Landman. Fully Convolutional Neural Networks Improve Abdominal Organ Segmentation. SPIE 2018 (Under Review)
Y. Huo, V. Braxton, D. Herrell, B. Landman, S. De. "Using CT Urograms to Aid in Management of Kidney Stones." CIP 2017.
P. Hu, Y. Huo, D. Kong, J. Carr, R. Abramson, K. Hartley, B. Landman. Automated Characterization of Body Composition and Frailty with Clinically Acquired CT. MSKI 2017.
C. Bermudez, A. Plassard, Y. Huo, K. Aboud, L. Cutting, S. Resnick., B. Landman. ”Improved Prediction of Chronological Age Using Deep Learning on T1-weighted MRI Structural Features.” MICCAI Workshop 2017.
Y. Huo, J. Liu, Z. Xu,R. Harrigan, A. Assad, R. Abramson, B. Landman. "Multi-atlas segmentation enables robust multi-contrast MRI spleen segmentation for splenomegaly," SPIE 2017 (Oral Presentation)
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
J. Liu, Y. Huo, Z. Xu, A. Assad, R. Abramson, B. Landman. "Multi-Atlas Spleen Segmentation on CT Using Adaptive Context Learning," SPIE 2017
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, K. Swett, S. Resnick, L. Cutting, B. Landman. "Data-driven Probabilistic Atlases Capture Whole-brain Individual Variation," MAPPING 2015 (Oral Presentation)
Y. Huo, G. Wei, Y. Zhang, and L. Wu, "An adaptive threshold for the Canny Operator of edge detection," IASP 2010.
Y. Zhang, L. Wu, Y. Huo, and S. Wang, "Chaotic clonal genetic algorithm for protein folding model," ICCASM 2010.
Conference (Abstract)
K Swett, Y Huo, E Williams, S Resnick, B Landman, L Cutting. Socioeconomic status predicts prefrontal cortex volume across the lifespan: a big data, cross-sectional MRI analysis. Cognitive Neuroscience Society Annual Meeting, San Francisco, California. March, 2015
J Qiao, S Weng, J Long, Y Huo, P Wang, Z Wang. A Functional Imaging Study of Self-Regulatory Capacities in Persons Who Stutter. Biological Psychiatry 2014
Z Wang, P Wang, G Horga, L He, Y Huo, B Graniello. Robust Detection of Default Networks Using Resting fMRI with ICA and Sparse Signal Representation. OHBM 2012
K. Denisova, Z. Wang, Y. Huo, and B. S. Peterson, "Neural Correlates of Cognitive Flexibility in Autism Spectrum Disorders," in BIOLOGICAL PSYCHIATRY, 2013.
Y. Zhang, L. Wu, Y. Huo, and S. Wang, "A novel global optimization method–genetic pattern search," in Applied Mechanics and Materials, 2011, pp. 3240-3244.
Thesis
Y. Huo, "Structural Medical Image Analyses using Consistent Volume and Surface Image Processing" Ph.D. Thesis