• Technion – Israel Institute of Technology
  • The Andrew & Erna Viterbi Faculty of Electrical and Computer Engineering
Technion
Technion
  • Home
    • Lab staff
    • Lab Activity
  • Research
    • Faculty
    • Prof. Yehoshua Y. Zeevi
    • Prof. Yoav Y. Schechner
    • Prof. Guy Gilboa
    • Prof. Anat Levin
    • – ERC 635537
    • Prof. Moshe Porat
    • Ollendorff Center
  • Teaching
    • Lab Experiment Courses
    • Project Archive
    • Project Awards
    • Project supervisors
    • Active Project Proposals
  • Robin Project
  • Student Info
    • Student Info
    • PC Workstations
    • VISL Docker
    • Project Procedures
    • Special Equipment
    • Briefings
  • Lab Rooms
    • All Lab Rooms
    • Room 611
  • Lab Staff Admin

Medical Imaging

  • Motion Correction for Myocardial T1 Mapping

    A Deap Learning based method that aligns the Myocardial T1-weighted images of CRM (Cardiac Magnetic Resonance)
    Categories: Medical Imaging | Neural Neworks
  • Estimation of Cardiovascular Fitness from Cardiac Manifested Respiratory Pattern

    In this research we investigate new ways to estimate cardiovascular health using Respiratory Sinus Arrhythmia (RSA), which can be seen in Heart Rate Variability (HRV) signal.
    Categories: Applications | Digital Health | Medical Imaging
  • Change Detection in CT Scans

    Registration and change detection of CT scans using geometrical methods in image processing
    Categories: Medical Imaging
  • Liver Texture Analysis using CT Scans

    Characterize liver pathologies by texture analysis using Wasserstein's metric
    Categories: Medical Imaging
  • Compression of US Images

    Iterative Algorithm for Compression of Ultrasound Images
    Categories: Medical Imaging
  • Improving Transfer Learning For Breast Cancer Detection

    Building models to improve transfer learning techniques for breast cancer detection using small data sets of mammograms and US scans
    Categories: Computer Vision | Medical Imaging | Neural Neworks
  • 2019s18-fi

    Adaptive Algorithm for Denoising Ultrasound Breast Images

    Despeckle ultra-sound images with adaptive NLM algorithm
    Categories: Medical Imaging
  • 2019s16

    Breast Cancer Detection in Mammographic Images

    Classification of mammograms based on extraction of textual-based features
    Categories: Medical Imaging
  • Simultaneous De-noising and Compression of Medical Ultrasound Images

    Use of compression as an alternative approach for speckle noise reduction in US images
    Categories: Medical Imaging
  • 2018w05 featured image

    Automatic Tumor Classification in Mammogram Images

    Use morphological features for classification of benign or malignant tumors in mammogram images
    Categories: Computer Vision | Medical Imaging
  • US nerve

    Ultrasound Nerve Segmentation using Deep Learning

    Identify nerve structure in ultrasound images using Deep Learning.
    Categories: Medical Imaging | Neural Neworks
  • Automatic Mammograms’ Classification based on Morphological Features

    Classification of Mammograms for cancer detection
    Categories: Medical Imaging
  • Compression of Echo-Cardiac Images

    Compression of Ultrasound Images by dividing the image into ROI and RONI (Region Of Non Interest)
    Categories: Medical Imaging
  • System for Gait Analysis for Medical Diagnosis

    A system for gait analysis for medical diagnosis will be developed using several Kinekt cameras.
    Categories: 3D and Depth | Applications | Medical Imaging | SYSTEMS
  • US

    Tissue Doppler Function Extraction

    Tissue Doppler Imaging (TDI) plays a major role in evaluating the left ventricular function [1]. This modality is characterized by an intrinsic noise, which leads to the classical thickness of the graphs displayed in commercial ultrasonic equipment. The agreement between TDI and Mitral Annulus Plane Excursion (MAPE) has been shown to be sub-optimal [2]. We hypothesize that this discordance is due to the noise in TDI. By taking the neighborhood...
    Categories: Medical Imaging
  • Compression & Enhancement of Medical US Images

    Improved ultrasound image compression ratios whilst preserving the diagnostic information of the images. Speckle noise reduction in order to improve the diagnostability of the image.
    Categories: Image Enhancement | Medical Imaging
  • Sleep Apnea Detection Using Depth Imaging

    Sleep apnea Is a sleep disorder of shallow breathing or complete breathing stops that takes place during sleep and can last from few seconds to several minutes.
    Categories: 3D and Depth | Medical Imaging
  • Tomography with GPU

    The project's goal was making feasibility check for improving the time-consuming algorithm of tomography with a new method of opto-acoustic.
    Categories: Medical Imaging
  • A Mobile Application for the Diagnosis of Facial Nerve Palsy

    Facial nerve palsy is a problem that involves the paralysis of any structures activated by the facial nerve , diagnostics today are very subjective.
    Categories: Medical Imaging
  • Measuring and Analyzing Infant Heart Rate Variability

    Heart Rate (HR) is not constant , it is modulated by different systems , which cause fluctuations in HR that are called Heart Rate Variability.
    Categories: Computer Vision | Medical Imaging

  • Accessibility Statement
Facebook
VISL - Contact: jo@technion.ac.il | Powered byFatfish