Search Results - "Huo, Yuankai"

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  1. 1

    3D whole brain segmentation using spatially localized atlas network tiles by Huo, Yuankai, Xu, Zhoubing, Xiong, Yunxi, Aboud, Katherine, Parvathaneni, Prasanna, Bao, Shunxing, Bermudez, Camilo, Resnick, Susan M., Cutting, Laurie E., Landman, Bennett A.

    Published in NeuroImage (Orlando, Fla.) (01-07-2019)
    “…Detailed whole brain segmentation is an essential quantitative technique in medical image analysis, which provides a non-invasive way of measuring brain…”
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    Journal Article
  2. 2

    Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking by Zhao, Mengyang, Jha, Aadarsh, Liu, Quan, Millis, Bryan A., Mahadevan-Jansen, Anita, Lu, Le, Landman, Bennett A., Tyska, Matthew J., Huo, Yuankai

    Published in Medical image analysis (01-07-2021)
    “…•We propose a novel Faster Mean-shift algorithm, which accelerates the embedding clustering based one-stage holistic cell instance segmentation and…”
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    Journal Article
  3. 3

    Prenatal and postnatal maternal anxiety and amygdala structure and function in young children by Donnici, Claire, Long, Xiangyu, Dewey, Deborah, Letourneau, Nicole, Landman, Bennett, Huo, Yuankai, Lebel, Catherine

    Published in Scientific reports (17-02-2021)
    “…Anxiety symptoms are relatively common during pregnancy and are associated with behavioural problems in children. The amygdala is involved in emotion…”
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    Journal Article
  4. 4

    Synthesized b0 for diffusion distortion correction (Synb0-DisCo) by Schilling, Kurt G., Blaber, Justin, Huo, Yuankai, Newton, Allen, Hansen, Colin, Nath, Vishwesh, Shafer, Andrea T., Williams, Owen, Resnick, Susan M., Rogers, Baxter, Anderson, Adam W., Landman, Bennett A.

    Published in Magnetic resonance imaging (01-12-2019)
    “…Diffusion magnetic resonance images typically suffer from spatial distortions due to susceptibility induced off-resonance fields, which may affect the…”
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    Journal Article
  5. 5

    Adversarial synthesis learning enables segmentation without target modality ground truth by Huo, Yuankai, Xu, Zhoubing, Bao, Shunxing, Assad, Albert, Abramson, Richard G., Landman, Bennett A.

    “…A lack of generalizability is one key limitation of deep learning based segmentation. Typically, one manually labels new training images when segmenting organs…”
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    Conference Proceeding
  6. 6

    Reconstruction of respiratory variation signals from fMRI data by Salas, Jorge A., Bayrak, Roza G., Huo, Yuankai, Chang, Catie

    Published in NeuroImage (Orlando, Fla.) (15-01-2021)
    “…•Low-frequency respiratory variations (RV) may be reconstructed from fMRI data alone.•Predicted and measured RV signals explained similar patterns of fMRI…”
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    Journal Article
  7. 7

    Consistent cortical reconstruction and multi-atlas brain segmentation by Huo, Yuankai, Plassard, Andrew J., Carass, Aaron, Resnick, Susan M., Pham, Dzung L., Prince, Jerry L., Landman, Bennett A.

    Published in NeuroImage (Orlando, Fla.) (01-09-2016)
    “…Whole brain segmentation and cortical surface reconstruction are two essential techniques for investigating the human brain. Spatial inconsistences, which can…”
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    Journal Article
  8. 8

    Obesity and acute stress modulate appetite and neural responses in food word reactivity task by Carnell, Susan, Benson, Leora, Papantoni, Afroditi, Chen, Liuyi, Huo, Yuankai, Wang, Zhishun, Peterson, Bradley S, Geliebter, Allan

    Published in PloS one (28-09-2022)
    “…Obesity can result from excess intake in response to environmental food cues, and stress can drive greater intake and body weight. We used a novel fMRI task to…”
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    Journal Article
  9. 9

    Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks by Huo, Yuankai, Xu, Zhoubing, Bao, Shunxing, Bermudez, Camilo, Moon, Hyeonsoo, Parvathaneni, Prasanna, Moyo, Tamara K., Savona, Michael R., Assad, Albert, Abramson, Richard G., Landman, Bennett A.

    Published in IEEE transactions on medical imaging (01-05-2019)
    “…The findings of splenomegaly, abnormal enlargement of the spleen, is a non-invasive clinical biomarker for liver and spleen diseases. Automated segmentation…”
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    Journal Article
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    Editorial: Machine Learning for Quantitative Neuroimaging Analysis by Huo, Yuankai, Jin, Dakai, Zhang, Yudong, Guo, Dazhou, Wang, Zhishun

    Published in Frontiers in neuroscience (25-05-2022)
    “…[...]the structural neuroimaging has been broadly used in detecting and quantifying brain tumors, bleeding, multiple sclerosis (MS), blood clots, traumatic…”
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    Journal Article
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    Sex and age effects on gray matter volume trajectories in young children with prenatal alcohol exposure by Long, Madison, Kar, Preeti, Forkert, Nils D, Landman, Bennett A, Gibbard, W Ben, Tortorelli, Christina, McMorris, Carly A, Huo, Yuankai, Lebel, Catherine A

    Published in Frontiers in human neuroscience (10-04-2024)
    “…Prenatal alcohol exposure (PAE) occurs in ~11% of North American pregnancies and is the most common known cause of neurodevelopmental disabilities such as…”
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    Journal Article
  14. 14

    Functional neural circuits that underlie developmental stuttering by Qiao, Jianping, Wang, Zhishun, Zhao, Guihu, Huo, Yuankai, Herder, Carl L, Sikora, Chamonix O, Peterson, Bradley S

    Published in PloS one (31-07-2017)
    “…The aim of this study was to identify differences in functional and effective brain connectivity between persons who stutter (PWS) and typically developing…”
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    Journal Article
  15. 15

    Editorial: Intelligent Recognition and Detection in Neuroimaging by Zhang, Yu-Dong, Castellanos-Dominguez, German, Huo, Yuankai, Gorriz, Juan Manuel, Alizadehsani, Roohallah

    Published in Frontiers in neuroscience (05-07-2022)
    “…[...]it proposes a MultiModal Data-Driven Ensemble (MMDD-Ensemble) approach for PD detection. [...]to improve the adaptability and accuracy of the detection…”
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    Journal Article
  16. 16

    Brain structure segmentation in the presence of multiple sclerosis lesions by González-Villà, Sandra, Oliver, Arnau, Huo, Yuankai, Lladó, Xavier, Landman, Bennett A

    Published in NeuroImage clinical (01-01-2019)
    “…Intensity-based multi-atlas segmentation strategies have shown to be particularly successful in segmenting brain images of healthy subjects. However, in the…”
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    Journal Article
  17. 17

    On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows by Gainaru, Ana, Sun, Hongyang, Aupy, Guillaume, Huo, Yuankai, Landman, Bennett A, Raghavan, Padma

    “…Scientific insights in the coming decade will clearly depend on the effective processing of large data sets generated by dynamic heterogeneous applications…”
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    Journal Article
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    A fully automated pipeline for brain structure segmentation in multiple sclerosis by González-Villà, Sandra, Oliver, Arnau, Huo, Yuankai, Lladó, Xavier, Landman, Bennett A.

    Published in NeuroImage clinical (01-01-2020)
    “…•We present an automated pipeline to segment the brain structures of MS patients.•The proposed pipeline improves the segmentation result of the traditional…”
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    Journal Article
  19. 19

    A functional imaging study of self-regulatory capacities in persons who stutter by Liu, Jie, Wang, Zhishun, Huo, Yuankai, Davidson, Stephanie M, Klahr, Kristin, Herder, Carl L, Sikora, Chamonix O, Peterson, Bradley S

    Published in PloS one (27-02-2014)
    “…Developmental stuttering is a disorder of speech fluency with an unknown pathogenesis. The similarity of its phenotype and natural history with other childhood…”
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    Journal Article
  20. 20

    Distinct neural circuits subserve interpersonal and non-interpersonal emotions by Landa, Alla, Wang, Zhishun, Russell, James A., Posner, Jonathan, Duan, Yunsuo, Kangarlu, Alayar, Huo, Yuankai, Fallon, Brian A., Peterson, Bradley S.

    Published in Social neuroscience (01-09-2013)
    “…Emotions elicited by interpersonal versus non-interpersonal experiences have different effects on neurobiological functioning in both animals and humans…”
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    Journal Article