Medical Imaging

BCI-Double-ErrP-Dataset is an EEG dataset recorded while participants used a P300-based BCI speller. This speller uses a P300 post-detection based on Error-related potentials (ErrPs) to detect and correct errors (i.e. when the detected symbol does not match the user’s intention). After the P300 detection, an automatic correction is made when an ErrP is detected (this is called a “Primary ErrP”). The correction proposed by the system is also evaluated, eventually eliciting a “Secondary ErrP” if the correction is wrong.

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  • Machine Learning
  • Last Updated On: 
    Fri, 03/20/2020 - 08:13

    BraTS has always been focusing on the evaluation of state-of-the-art methods for the segmentation of brain tumors in multimodal magnetic resonance imaging (MRI) scans. BraTS 2019 utilizes multi-institutional pre-operative MRI scans and focuses on the segmentation of intrinsically heterogeneous (in appearance, shape, and histology) brain tumors, namely gliomas. Furthemore, to pinpoint the clinical relevance of this segmentation task, BraTS’19 also focuses on the prediction of patient overall survival, via integrative analyses of radiomic features and machine learning algorithms.

  • Image Processing
  • Biomedical and Health Sciences
  • Medical Imaging
  • Last Updated On: 
    Fri, 02/28/2020 - 06:31

    This demo is intended to implement Ultrasound Localization Microscopy by a modified sub-pixel convolutional neural network (mSPCN-ULM). The detailed information can be referred in Liu et al. "Deep Learning for Ultrasound Localization Microscopy (DOI: 10.1109/TMI.2020.2986781)".

    74 views
  • Medical Imaging
  • Last Updated On: 
    Sat, 05/23/2020 - 23:10

    Summary:

    The transcranial Doppler echo data was recorded from both healthy and neurocritical care patients. The insonated cerebral vessels were the middle cerebral artery (MCA) and the internal carotid artery (ICA). The ultrasound device used in this study was the Philips CX50.

    260 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Wed, 02/19/2020 - 09:19

    ADAM is organized as a half day Challenge, a Satellite Event of the ISBI 2020 conference in Iowa City, Iowa, USA.

    182 views
  • Computer Vision
  • Last Updated On: 
    Mon, 01/20/2020 - 07:52

    It includes 312 ROIs. An ROI is a rectangular BMP image region. A rectangular image region  is located within a PDAC tumor region or within a HP region of a slice CT image. ROIs of 1-153 are PDAC, ROIs of 154:312 are HP.

    39 views
  • Artificial Intelligence
  • Last Updated On: 
    Fri, 04/10/2020 - 04:28

    Endoscopy is a widely used clinical procedure for the early detection of cancers in hollow-organs such as oesophagus, stomach, and colon. Computer-assisted methods for accurate and temporally consistent localisation and segmentation of diseased region-of-interests enable precise quantification and mapping of lesions from clinical endoscopy videos which is critical for monitoring and surgical planning. Innovations have the potential to improve current medical practices and refine healthcare systems worldwide.

  • Artificial Intelligence
  • Computer Vision
  • Image Processing
  • Machine Learning
  • Biomedical and Health Sciences
  • Medical Imaging
  • Last Updated On: 
    Sun, 03/29/2020 - 13:15

    Nextmed project is a software platform for the segmentation and visualization of medical images. It consist on a series of different automatic segmentation algorithms for different anatomical structures and  a platform for the visualization of the results as 3D models.

    This dataset contains the .obj and .nrrd files that correspond to the results of applying our automatic lung segmentation algorithm to the LIDC-IDRI dataset.

    This dataset relates to 718 of the 1012 LIDC-IDRI scans.

    217 views
  • Artificial Intelligence
  • Last Updated On: 
    Thu, 02/27/2020 - 10:07

    The migration of cancer cells is highly regulated by the biomechanical properties of their local microenvironment. Using 3D scaffolds of simple composition, several aspects of cancer cell mechanosensing (signal transduction, EMC remodeling, traction forces) have been separately analyzed in the context of cell migration. However, a combined study of these factors in 3D scaffolds that more closely resemble the complex microenvironment of the cancer ECM is still missing.

    111 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Thu, 02/27/2020 - 10:07

    Optical coherence tomography angiography (OCTA) is a novel and high-profile imaging modality that allows a micron-level resolution to present the three-dimensional structure of retinal blood vessels and microvascular systems, and has become an essential tool for retinal vasculature research. 

    201 views
  • Medical Imaging
  • Last Updated On: 
    Mon, 12/23/2019 - 09:22

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