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,

Academic CV

  • 2024.08-present     Assistant Professor/Associate Researcher at Institute of Medical Technology, Peking University, China
  • 2021.04-2024.08    Research scientist at Department of Radiation Therapy, University Hospital Erlangen, Germany
  • 2020.02-2021.04    Postdoc researcher at Pattern Recognition Lab, Department of Computer Science 5, FAU, Erlangen, Germany
  • 2016.06-2020.02    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 Department of Biomedical Engineering, College of Engineering, Peking University, China.
  • 2009.09-2013.07    Bachelor at Department of Biomedical Engineering, College of Engineering, Peking University, China.

Projects

ChatGPT benchmark on radiation oncology

DeepMedic+ for automatic brain metastasis identification

CT field-of-view extension via deep learning

Limited angle tomography at Innovation Group of Siemens Healthcare.

Helgason-Ludwig Consistency Conditions for limited angle tomography

4-D nanoSCOPE: Advancing osteoporosis medicine by observing bone microstructure and remodelling using a four-dimensional nanoscope

Publications

2025

Unpublished Publications

2024

Journal Articles

Conference Contributions

2023

Journal Articles

Conference Contributions

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

Lectures

Project Flat-Panel CT Reconstruction [ProjFCR] 2023SS

Project Flat-Panel CT Reconstruction [ProjFCR] 2022SS

Project Flat-Panel CT Reconstruction [ProjFCR] 2021SS

Project Flat-Panel CT Reconstruction [ProjFCR] 2020SS

Student Theses and Projects

Type Title Status
Project CBCT to CT Translation Using Deep Learning finished
Project Neural Network Implementation of Reaction-Diffusion Equations for Tumor Growth Modeling Using Stochastic Differential Equations finished
Project SwinU: A Swin Transformer-Based Model for CT Image Restoration finished
Project Survey on Image Segmentation and Concise Introductions to DeepMedic finished
MA thesis Multicenter Study of Brain Metastases Autosegmentation running
MA thesis Image-to-Image Translation Using Latent Diffusion Models running
Project Evaluation of the novel class of promptable image segmentation foundation models for radiotherapy tumor autosegmentation finished
Project Center-to-Peer Federated Learning Research finished
Project Generating High-Resolution CT Images via Score-Based Diffusion and Super-Resolution Techniques finished
Project Partial Convolution for CT Field of View Extension finished
MA thesis Deep Learning for Glioma Survival Prediction running
Project Deep Reinforcement Learning Based Emergency Department Optimization finished
MA thesis Fine-tune large language models for radiation oncology finished
MA thesis Deep learning brain surface modelling for target volume definition in radiotherapy running
MA thesis Image-to-Image Translation Using Diffusion Generative Models finished
MA thesis Development of an AI-based ring detection algorithm for CT image quality control finished
MA thesis Deep learning for brain metastases growth prediction finished
MA thesis Deep Learning for Cancer Patient Survival Prediction Using 2D Portrait Photos Based on StyleGAN Embedding finished
MA thesis Risk Classification of Brain Metastases via Deep Learning Radiomics finished
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 finished
MA thesis Glioma Growth Prediction Using Reaction-Diffusion Modelling and Machine Learning finished
MA thesis Terahertz Image Reconstruction for Historical Document Analysis finished
Project Cephalometric Landmark Re-annotation and Automatic Detection finished
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