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Retrieved Entries: 6 [ยป Advanced search reports]

2019

  1. Po-Yu Kao, Jefferson W. Chen, B.S. Manjunath,
    “Improving 3D U-Net for Brain Tumor Segmentation by Utilizing Lesion Prior”,
    arXiv.org, Sep. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: We propose a novel, simple and effective method to integrate lesion prior and a 3D U-Net for improving brain tumor segmentation. First, we utilize the ground-truth brain tumor lesions from a group of ... more
  2. Po-Yu Kao, Jefferson W. Chen, B.S. Manjunath,
    “Predicting Clinical Outcome of Stroke Patients with Tractographic Feature”,
    Sep. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: The volume of stroke lesion is the gold standard for predicting the clinical outcome of stroke patients. However, the presence of stroke lesion may cause neural disruptions to other brain regions, and ... more
  3. Po-Yu Kao, Angela Zhang, Michael Goebel, Jefferson W. Chen, and B.S. Manjunath,
    “Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet”,
    arXiv, 1904.07387, Apr. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: In this work, we utilize T1-weighted MR images and StackNet to predict fluid intelligence in adolescents. Our framework includes feature extraction, feature normalization, feature denoising, feature s ... more
  4. Angela Zhang, Po-Yu Kao, Ashutosh Shelat, Ronald Sahyouni, Jefferson Chen, B.S. Manjunath,
    “Fully Automated Volumetric Classification in CT Scans for Diagnosis and Analysis of Normal Pressure Hydrocephalus”,
    arXiv, 1901.09088, Jan. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: Normal Pressure Hydrocephalus (NPH) is one of the few reversible forms of dementia. Due to their low cost and versatility, Computed Tomography (CT) scans have long been used as an aid to help diagnose ... more

2018

  1. Po-Yu Kao, Thuyen Ngo, Angela Zhang, Jefferson W. Chen, B.S. Manjunath,
    “Brain Tumor Segmentation and Tractographic Feature Extraction from Structural MR Images for Overall Survival Prediction”,
    4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Nov. 2018.
    [abstract] [PDF] [BibTex]
    Abstract preview: This paper introduces a novel methodology to integrate human brain connectomics and parcellation for brain tumor segmentation and survival prediction. For segmentation, we utilize an existing brain pa ... more

2016

  1. Po-Yu Kao, Eduardo Rojas, Jefferson W. Chen, Angela Zhang, B. S. Manjunath,
    “Unsupervised 3-D Feature Learning for Mild Traumatic Brain Injury”,
    International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, pp. 282-290, Athens, Greece, Oct. 2016.
    [abstract] [PDF] [BibTex]
    Abstract preview: We present an unsupervised three-dimensional feature clustering algorithm to gather the mTOP2016 challenge data into 3 groups. We use the brain MR-T1, diffusion tensor fractional anisotropy, and diffu ... more