Lokalizacja loży powstałej po chirurgicznej resekcji guza piersi metodami dopasowania obrazów

2019/32/T/ST6/00065

Descriptors

  • ST6_008: Grafika komputerowa, przetwarzanie obrazów, wizualizacja komputerowa, multimedia, gry komputerowe
  • ST6_011: Uczenie maszynowe, statystyczne przetwarzanie danych i zastosowania w przetwarzaniu sygnałów (np. mowy, obrazów, filmów)
  • ST6_012: Obliczenia naukowe, narzędzia modelowania i symulacji

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

Voivodeship: małopolskie

Other projects carried out by the institution »

Principal investigator (from the host institution)

Marek Michał 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
2019-10-01
Project end date
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)

  1. 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 (year: 2021, volume: 21, pages: 46036), Publisher: MDPI
    Status:
    Published
    DOI:
    10.3390/s21124085 – link to the publication
  2. DeepHistReg: unsupervised deep learning registration framework for differently stained histology samples

    Authors:
    Marek Wodzinski, Henning Muller
    Academic press:
    Computer Methods and Programs in Biomedicine (year: 2021, volume: 198, pages: 46033), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.cmpb.2020.105799 – link to the publication

Articles in post-conference publications (4)

  1. 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 (year: 2021, pages: 75-84), Publisher: Springer
    Date:
    conference 27.09-01.10.2021
    Status:
    Published
  2. Invnet: a deep learning approach to invert complex deformation fields

    Authors:
    Marek Wodziński, Henning Muller
    Conference:
    IEEE International Symposium on Biomedical Imaging (year: 2021, pages: 46026), Publisher: IEEE
    Date:
    conference 13-16.04.2021
    Status:
    Published
  3. Learning-based affine registration of histological images

    Authors:
    Marek Wodzinski, Henning Muller
    Conference:
    Biomedical Image Registration: 9th International Workshop (year: 2020, pages: 46378), Publisher: Springer
    Date:
    conference 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 (year: 2020, pages: 484-493), Publisher: Springer
    Date:
    conference 04.10.2020
    Status:
    Published

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Graphic design and implementation: Jakub Piotrowski