Yixing Huang

Dr.-Ing. Yixing Huang

Researcher

Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)

Room: Room 09.155
Martensstrasse 3
91058 Erlangen
Germany

Office hours

09:00 - 18:00, Room 09.155,

  • 2021.04-present     Scientific researcher at Department of Radiation Therapy, University Hospital Erlangen, Germany
  • 2019.07-2021.04    Postdoc at Pattern Recognition Lab, Department of Computer Science 5, FAU, Erlangen, Germany
  • 2019.01-2019.06    Algorithm developer at start-up medical company, Hefei, China
  • 2016.06-2018.12    PhD at Pattern Recognition Lab, Department of Computer Science 5, FAU, Erlangen, Germany
  • 2014.03-2016.05    Master of Medical Engineering, Department of Computer Science 5, FAU, Erlangen, Germany
  • 2013.07-2014.02    Research assistant at Dept. of Biomedical Engineering, College of Engineering, Peking University, China.
  • 2009.09-2013.07    Bachelor at Dept. of Biomedical Engineering, College of Engineering, Peking University, China.

2022

Journal Articles

Conference Contributions

2021

Journal Articles

Conference Contributions

2020

Journal Articles

Conference Contributions

Thesis

2019

Journal Articles

Conference Contributions

2018

Journal Articles

Conference Contributions

2017

Journal Articles

Conference Contributions

2016

Conference Contributions

Kolloquium (KO)

Praktikum (PR)

  • Projekt Flat-Panel CT Reconstruction

    This course will be held online. No registration is required to attend this course. All further information will be provided in the StudOn course (link below).

    • Expected participants: 12; ECTS-Studium (ECTS-Credits: 5)
    • Termin:
      • Do 10:00-12:00, Room 0.01-142 CIP (exclude vac) ICS

Project Flat-Panel CT Reconstruction [ProjFCR] 2020SS

Type Title Status
Project The UKER BrainMet Dataset: A brain metastasis dataset from University Hospital Erlangen finished
MA thesis Brain Metastasis Synthesis Using Deep Learning in MRI Images running
MA thesis Glioma Growth Prediction Using Reaction-Diffusion Modelling and Machine Learning running
MA thesis Terahertz Image Reconstruction for Historical Document Analysis running
Project Cephalometric Landmark Re-annotation and Automatic Detection running
MA thesis Solution to Extend the Field of View of Computed Tomography Using Deep Learning Approaches finished
MA thesis Height Estimation for Patient Tables from Computed Tomography Data finished
MA thesis Machine Learning-Based Feature Classification and Position Detection of Spherical Markers in CT Volumes finished
MA thesis Motion Compensation Using Epipolar Consistency Condition in Computed Tomography finished
MA thesis Solution to extend the Field of View of Computed Tomography using Deep Learning approaches finished
MA thesis Marker Detection Using Deep Learning for Universal Navigation Interface finished
Project CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction finished
MA thesis Deep Learning for Streak Reduction in Computed Tomography finished
Project Superpixel-Based Background Recovery from Multiple Images finished
MA thesis Deep Scatter Estimation Real-time CT Scatter Correction finished
MA thesis Deep Learning Reconstruction for 23Na Magnet-Resonance-Imaging of the Skeletal Muscle finished
MA thesis Automated Volume of Interest Reconstruction in dedicated Spiral Breast CT finished
BA thesis High Resolution Low-Dose-CT using Beam Collimation and Limited Projections finished
Project Cephalometric Landmark Detection Using Deep Learning finished
Project Projection Inpainting Using Partial Convolution for Metal Artifact Reduction finished
MA thesis Truncation Correction in Computed Tomography Using Deep Learning finished
BA thesis Improved image quality of Limited Angle and Sparse View SPECT using Deep Learning finished
Friedrich-Alexander-Universität Erlangen-Nürnberg