Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

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Lokalizacja loży powstałej po chirurgicznej resekcji guza piersi metodami dopasowania obrazów

2019/32/T/ST6/00065

Keywords:

Descriptors:

  • ST6_8: Computer graphics, image processing, computer vision, multimedia, computer games
  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
  • ST6_12: Scientific computing, simulation and modelling tools

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie, Wydział Elektrotechniki, Automatyki, Informatyki i Inżynierii Biomedycznej

woj. małopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

Marek Wodziński 

Number of co-investigators in the project: 2

Call: ETIUDA 7 - announced on 2018-12-14

Amount awarded: 144 264 PLN

Project start date (Y-m-d): 2019-10-01

Project end date (Y-m-d): 2020-09-30

Project duration:: 12 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (2)
  • Articles in post-conference publications (4)
  1. DeepHistReg: unsupervised deep learning registration framework for differently stained histology samples
    Authors:
    Marek Wodzinski, Henning Muller
    Academic press:
    Computer Methods and Programs in Biomedicine (rok: 2021, tom: 198, strony: 45302), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.cmpb.2020.105799 - link to the publication
  2. Semi-supervised deep learning-based image registration method with volume penalty for real-time breast tumor bed localization
    Authors:
    Marek Wodzinski, Izabela Ciepiela, Tomasz Kuszewski, Piotr Kedzierawski, Andrzej Skalski
    Academic press:
    Sensors (rok: 2021, tom: 21, strony: 45305), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/s21124085 - link to the publication
  1. Invnet: a deep learning approach to invert complex deformation fields
    Authors:
    Marek Wodziński, Henning Muller
    Conference:
    IEEE International Symposium on Biomedical Imaging (rok: 2021, ), Wydawca: IEEE
    Data:
    konferencja 13-16.04.2021
    Status:
    Published
  2. Adversarial Affine Registration for Real-time Intraoperative Registration of 3-D US-US for Brain Shift Correction
    Authors:
    Marek Wodzinski, Andrzej Skalski
    Conference:
    MICCAI-ASMUS (rok: 2021, ), Wydawca: Springer
    Data:
    konferencja 27.09-01.10.2021
    Status:
    Published
  3. Learning-based affine registration of histological images
    Authors:
    Marek Wodzinski, Henning Muller
    Conference:
    Biomedical Image Registration: 9th International Workshop (rok: 2020, ), Wydawca: Springer
    Data:
    konferencja 1-2.12.2020
    Status:
    Published
  4. Unsupervised learning-based nonrigid registration of high resolution histology images
    Authors:
    Marek Wodzinski, Henning Muller
    Conference:
    MICCAI-MLMI (rok: 2020, ), Wydawca: Springer
    Data:
    konferencja 04.10.2020
    Status:
    Published

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