2022

• Thiemann, Christian and Klitzke, Britta and Martinetz, Philipp and Grüning, Philipp and Käster, Thomas and Barth, Erhardt and Kramer, Jan and Martinetz, Thomas: Automated assessment of immunofixations with deep neural networks. Journal of Laboratory Medicine, no. 46, pp. 331-336, De Gruyter, 2022
  

  @article{ThKlMaGrKaBaKrMa22,
    title={Automated assessment of immunofixations with deep neural networks},
    author={Thiemann, Christian and Klitzke, Britta and Martinetz, Philipp and Gr{\"u}ning, Philipp and K{\"a}ster, Thomas and Barth, Erhardt and Kramer, Jan and Martinetz, Thomas},
    journal={Journal of Laboratory Medicine},
    volume={46},
    number={5},
    pages={331--336},
    year={2022},
    publisher={De Gruyter},
    url={https://www.degruyter.com/document/doi/10.1515/labmed-2022-0078/pdf}
  }
  
  

• Grüning, Philipp and Martinetz, Thomas and Barth, Erhardt: FP-nets as novel deep networks inspired by vision. Journal of Vision, no. 22, pp. 8-8, The Association for Research in Vision and Ophthalmology, 2022
  

  @article{GrMaBa22,
    title={FP-nets as novel deep networks inspired by vision},
    author={Gr{\"u}ning, Philipp and Martinetz, Thomas and Barth, Erhardt},
    journal={Journal of Vision},
    volume={22},
    number={1},
    pages={8--8},
    year={2022},
    publisher={The Association for Research in Vision and Ophthalmology},
    url={https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/GrMaBa22.pdf}
  }
  
  

2021

• Grüning, Philipp and Barth, Erhardt: Bio-inspired Min-Nets Improve the Performance and Robustness of Deep Networks. in SVRHM 2021 Workshop NeurIPS, 2021
  

  @inproceedings{GrBa21,
    title={Bio-inspired Min-Nets Improve the Performance and Robustness of Deep Networks},
    author={Gr{\"u}ning, Philipp and Barth, Erhardt},
    booktitle={SVRHM 2021 Workshop NeurIPS},
    year={2021},
    url={https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/GrBa21.pdf}
  }
  
  

• Palumbo, Alex and Grüning, Philipp and Landt, Svenja Kim and Heckmann, Lara Eleen and Bartram, Luisa and Pabst, Alessa and Flory, Charlotte and Ikhsan, Maulana and Pietsch, Sören and Schulz, Reinhard and others: Deep learning to decipher the progression and morphology of axonal degeneration. Cells, no. 10, pp. 2539, Multidisciplinary Digital Publishing Institute, 2021
  

  @article{Palumbo-etal21,
    title={Deep learning to decipher the progression and morphology of axonal degeneration},
    author={Palumbo, Alex and Gr{\"u}ning, Philipp and Landt, Svenja Kim and Heckmann, Lara Eleen and Bartram, Luisa and Pabst, Alessa and Flory, Charlotte and Ikhsan, Maulana and Pietsch, S{\"o}ren and Schulz, Reinhard and others},
    journal={Cells},
    volume={10},
    number={10},
    pages={2539},
    year={2021},
    publisher={Multidisciplinary Digital Publishing Institute},
    url={https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/Palumbo-etal21.pdf}
  }
  
  

• Grüning, Philipp and Nette, Falk and Heldt, Noah and de Souza, Ana Cristina Guerra and Barth, Erhardt: Direct Inference of Cell Positions using Lens-Free Microscopy and Deep Learning. in Medical Imaging with Deep Learning, pp. 219-227, 2021
  

  @inproceedings{GrNeHeSoBa21,
    title={Direct Inference of Cell Positions using Lens-Free Microscopy and Deep Learning},
    author={Gr{\"u}ning, Philipp and Nette, Falk and Heldt, Noah and de Souza, Ana Cristina Guerra and Barth, Erhardt},
    booktitle={Medical Imaging with Deep Learning},
    pages={219--227},
    year={2021},
    organization={PMLR},
    url={https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/GrNeHeSoBa21.pdf}
  }
  
  

• Grüning, Philipp and Barth, Erhardt: FP-Nets for Blind Image Quality Assessment. Journal of Perceptual Imaging, no. 4, pp. 10402-1-10402-13, 2021
  

  @article{GrBa21a,
    title={{FP}-{N}ets for {B}lind {I}mage {Q}uality {A}ssessment},
    author={Gr{\"u}ning, Philipp and Barth, Erhardt},
    journal={Journal of Perceptual Imaging},
    volume={4},
    number={1},
    pages={10402-1--10402-13},
    year={2021},
    url={https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/GrBa21a.pdf}
  }
  
  
  

2020

• Grüning, Philipp and Palumbo, Alex and Zille, Marietta and Barth, Erhardt and Mamlouk, Amir Madany: A task-dependent active learning method for axon segmentation with CNNs. Proceedings on Automation in Medical Engineering, no. 1, pp. 025-025, 2020
  

  @article{GrPaZiBaMa20,
  title={A task-dependent active learning method for axon segmentation with CNNs},
  author={Gr{\"u}ning, Philipp and Palumbo, Alex and Zille, Marietta and Barth, Erhardt and Mamlouk, Amir Madany},
  journal={Proceedings on Automation in Medical Engineering},
  volume={1},
  number={1},
  pages={025--025},
  year={2020},
  url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/GrPaZiBaMa20.pdf}
  }
  
  

• Grüning, Philipp and Mamlouk, Amir Madany: Deep Neural-Gas Clustering for Instance Segmentation across Imaging Experiments. in 2020 International Joint Conference on Neural Networks (IJCNN), pp. 1-8, 2020
  

  @inproceedings{GrMa20,
    title={Deep {N}eural-{G}as {C}lustering for {I}nstance {S}egmentation across {I}maging {E}xperiments},
    author={Gr{\"u}ning, Philipp and Mamlouk, Amir Madany},
    booktitle={2020 International Joint Conference on Neural Networks (IJCNN)},
    pages={1--8},
    year={2020},
    organization={IEEE}
  }
  
  

• Grüning, Philipp and Martinetz, Thomas and Barth, Erhardt: Feature Products Yield Efficient Networks. arXiv preprint arXiv:2008.07930, 2020
  

  @article{GrMaBa20,
    title={Feature Products Yield Efficient Networks},
    author={Gr{\"u}ning, Philipp and Martinetz, Thomas and Barth, Erhardt},
    journal={arXiv preprint arXiv:2008.07930},
    year={2020},
    url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/GrMaBa20.pdf}
  }
  
  

• Grüning, Philipp and Martinetz, Thomas and Barth, Erhardt: Log-Nets: Logarithmic Feature-Product Layers Yield More Compact Networks. in Artificial Neural Networks and Machine Learning - ICANN 2020, pp. 79-91, Springer International Publishing, Cham, 2020
  

  @inproceedings{GrMaBa20a,
  author={Gr{\"u}ning, Philipp and Martinetz, Thomas and Barth, Erhardt},
  editor={Farka{\v{s}}, Igor and Masulli, Paolo and Wermter, Stefan},
  title={Log-Nets: Logarithmic Feature-Product Layers Yield More Compact Networks},
  booktitle={Artificial Neural Networks and Machine Learning -- ICANN 2020},
  year={2020},
  publisher={Springer International Publishing},
  address={Cham},
  pages={79--91},
  abstract={We introduce Logarithm-Networks (Log-Nets), a novel bio-inspired type of network architecture based on logarithms of feature maps followed by convolutions. Log-Nets are capable of surpassing the performance of traditional convolutional neural networks (CNNs) while using fewer parameters. Performance is evaluated on the Cifar-10 and ImageNet benchmarks.},
  isbn={978-3-030-61616-8}
  }
  
  

• Grüning, Philipp and Palumbo, Alex and Landt, Svenja Kim and Heckmann, Lara and Brackhagen, Leslie and Zille, Marietta and Mamlouk, Amir Madany: Robust and Markerfree in vitro Axon Segmentation with CNNs. in International Conference on Wireless Mobile Communication and Healthcare, pp. 274-284, 2020
  

  @inproceedings{GrPaLaHeBrZiMa20,
    title={Robust and Markerfree in vitro Axon Segmentation with CNNs},
    author={Gr{\"u}ning, Philipp and Palumbo, Alex and Landt, Svenja Kim and Heckmann, Lara and Brackhagen, Leslie and Zille, Marietta and Mamlouk, Amir Madany},
    booktitle={International Conference on Wireless Mobile Communication and Healthcare},
    pages={274--284},
    year={2020},
    organization={Springer},
    url={https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/GrPaLaHeBrZiMa20.pdf}
  }
  
  

2019

• Kumar, Neeraj and Verma, Ruchika and Anand, Deepak and Zhou, Yanning and Fahri Onder, Omer and Tsougenis, Efstratios and Chen, Hao and Heng, Pheng-Ann and Li, Jiahui and Hu, Zhiqiang and Wang, Yunzhi and Alemi Koohbanani, Navid and Jahanifar, Mostafa and Zamani Tajeddin, Neda and Gooya, Ali and Rajpoot, Nasir and Ren, Xuhua and Zhou, Sihang and Wang, Qian and Shen, Dinggang and Yang, Cheng-Kun and Weng, Chi-Hung and Yu, Wei-Hsiang and Yeh, Chao-Yuan and Yang, Shuang and Xu, Shuoyu and Hei Yeung, Pak and Sun, Peng and Mahbod, Amirreza and Schaefer, Gerald and Ellinger, Isabella and Ecker, Rupert and Smedby, Orjan and Wang, Chunliang and Chidester, Benjamin and Ton, That-Vinh and Tran, Minh-Triet and Ma, Jian and N Do, Minh and Graham, Simon and Dang Vu, Quoc and Tae Kwak, Jin and Gunda, Akshaykumar and Chunduri, Raviteja and Hu, Corey and Zhou, Xiaoyang and Lotfi, Dariush and Safdari, Reza and Kascenas, Antanas and O’Neil, Alison and Eschweiler, Dennis and Stegmaier, Johannes and Cui, Yanping and Yin, Baocai and Chen, Kailin and Tian, Xinmei and Grüning, Philipp and Barth, Erhardt and Arbel, Elad and Remer, Itay and Ben-Dor, Amir and Sirazitdinova, Ekaterina and Kohl, Matthias and Braunewell, Stefan and Li, Yuexiang and Xie, Xinpeng and Shen, Linlin and Ma, Jun and Das Baksi, Krishanu and Azam Khan, Mohammad and Choo, Jaegul and Colomer, Adrián and Naranjo, Valery and Pei, Linmin and M Iftekharuddin, Khan and Roy, Kaushiki and Bhattacharjee, Debotosh and Pedraza, Anibal and Gloria Bueno, Maria and Devanathan, Sabarinathan and Radhakrishnan, Saravanan and Koduganty, Praveen and Wu, Zihan and Cai, Guanyu and Liu, Xiaojie and Wang, Yuqin and Sethi, Amit: A multi-organ nucleus segmentation challenge. IEEE transactions on medical imaging, no. 39, pp. 1380-1391, IEEE, 2019
  

  @article{Kumar-etal19,
    title={A multi-organ nucleus segmentation challenge},
    author={Kumar, Neeraj and Verma, Ruchika and Anand, Deepak and Zhou, Yanning and Fahri Onder, Omer and Tsougenis, Efstratios and Chen, Hao and Heng, Pheng-Ann and Li, Jiahui and Hu, Zhiqiang and Wang, Yunzhi and Alemi Koohbanani, Navid and Jahanifar, Mostafa and Zamani Tajeddin, Neda and Gooya, Ali and Rajpoot, Nasir and Ren, Xuhua and Zhou, Sihang and Wang, Qian and Shen, Dinggang and Yang, Cheng-Kun and Weng, Chi-Hung and Yu, Wei-Hsiang and Yeh, Chao-Yuan and Yang, Shuang and Xu, Shuoyu and Hei Yeung, Pak and Sun, Peng and Mahbod, Amirreza and Schaefer, Gerald and Ellinger, Isabella and Ecker, Rupert and Smedby, Orjan and Wang, Chunliang and Chidester, Benjamin and Ton, That-Vinh and Tran, Minh-Triet and Ma, Jian and N Do, Minh and Graham, Simon and Dang Vu, Quoc and Tae Kwak, Jin and Gunda, Akshaykumar and Chunduri, Raviteja and Hu, Corey and Zhou, Xiaoyang and Lotfi, Dariush and Safdari, Reza and Kascenas, Antanas and O’Neil, Alison and Eschweiler, Dennis and Stegmaier, Johannes and Cui, Yanping and Yin, Baocai and Chen, Kailin and Tian, Xinmei and Gr{\"u}ning, Philipp and Barth, Erhardt and Arbel, Elad and Remer, Itay and Ben-Dor, Amir and Sirazitdinova, Ekaterina and Kohl, Matthias and Braunewell, Stefan and Li, Yuexiang and Xie, Xinpeng and Shen, Linlin and Ma, Jun and Das Baksi, Krishanu and Azam Khan, Mohammad and Choo, Jaegul and Colomer, Adrián and Naranjo, Valery and Pei, Linmin and M Iftekharuddin, Khan and Roy, Kaushiki and Bhattacharjee, Debotosh and Pedraza, Anibal and Gloria Bueno, Maria and Devanathan, Sabarinathan and Radhakrishnan, Saravanan and Koduganty, Praveen and Wu, Zihan and Cai, Guanyu and Liu, Xiaojie and Wang, Yuqin and Sethi, Amit},
    journal={IEEE transactions on medical imaging},
    volume={39},
    number={5},
    pages={1380--1391},
    year={2019},
    publisher={IEEE}
  }