2021

• Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz: Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning. Sensors, no. 21, pp. 455, Multidisciplinary Digital Publishing Institute, 2021
  

  @article{AlLiBaMa21,
  author={Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz},
  title = {Explainable {COVID-19} {D}etection {U}sing {C}hest {CT} {S}cans and {D}eep {L}earning},
  journal = {Sensors},
  volume={21},
  number={2},
  pages={455},
  year={2021},
  publisher={Multidisciplinary Digital Publishing Institute},
  url = {https://www.mdpi.com/1424-8220/21/2/455},
  url = {http://webmail.inb.uni-luebeck.de/inb-publications/pdfs/AlLiBaMa21.pdf},
  }
  
  

2020

• Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz: Deep Convolutional Neural Networks for Unconstrained Ear Recognition. IEEE Access, no. 8, pp. 170295-170310, IEEE, 2020
  

  @article{AlLiBaMa20,
    title={Deep {C}onvolutional {N}eural {N}etworks for {U}nconstrained {E}ar {R}ecognition},
    author={Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz},
    journal={IEEE Access},
    publisher={IEEE},
    volume={8},
    pages={170295--170310},
    year={2020},
    url = {http://webmail.inb.uni-luebeck.de/inb-publications/pdfs/AlLiBaMa20.pdf},
  }
  
  

2019

• Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz: Ensembles of Deep Learning Models and Transfer Learning for Ear Recognition. sensors, no. 19, pp. 4139, Multidisciplinary Digital Publishing Institute, 2019
  

  @article{AlLiBaMa19,
  author={Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz},
  title = {Ensembles of {D}eep {L}earning {M}odels and {T}ransfer {L}earning for {E}ar {R}ecognition},
  journal = {sensors},
  volume={19},
  number={19},
  pages={4139},
  year={2019},
  publisher={Multidisciplinary Digital Publishing Institute},
  url = {https://www.mdpi.com/1424-8220/19/19/4139},
  url = {http://webmail.inb.uni-luebeck.de/inb-publications/pdfs/AlLiBaMa19.pdf},
  }
  
  

• Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz: Handcrafted versus CNN Features for Ear Recognition. Symmetry, no. 11, pp. 1493, 2019
  

  @article{AlLiBaMa19a,
    title={{Handcrafted versus CNN Features for Ear Recognition}},
    author={Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz},
    journal={Symmetry},
    volume={11},
    number={12},
    pages={1493},
    year={2019},
    url = {http://webmail.inb.uni-luebeck.de/inb-publications/pdfs/AlLiBaMa19a.pdf},
  }