Projects funded by the NCN


Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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Medical image registration methods focused on the problem of missing data

2018/29/N/ST6/00143

Keywords:

image registration missing data medical imaging medical image analysis

Descriptors:

  • ST6_8: Computer graphics, image processing, computer vision, multimedia, computer games
  • ST6_12: Scientific computing, simulation and modelling tools
  • ST7_11: Electronic, optoelectronic and photonic components and systems for applications (e.g. in biomedical engineering)

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: PRELUDIUM 15 - announced on 2018-03-15

Amount awarded: 185 400 PLN

Project start date (Y-m-d): 2019-01-24

Project end date (Y-m-d): 2022-01-23

Project duration:: 36 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.

Equipment purchased [PL]

  1. Specjalizowana stacja robocza (23 000 PLN)

Information in the final report

  • Publication in academic press/journals (4)
  • Articles in post-conference publications (6)
  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. Multistep, automatic and nonrigid image registration method for histology samples acquired using multiple stains
    Authors:
    Marek Wodzinski, Andrzej Skalski
    Academic press:
    Physics in Medicine and Biology (rok: 2021, tom: 66, strony: 45305), Wydawca: IOP Science
    Status:
    Published
    DOI:
    10.1088/1361-6560/abcad7 - link to the publication
  3. 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
  4. ANHIR: Automatic Non-rigid Histological Image Registration Challenge
    Authors:
    Jirı Borovec, Jan Kybic, Ignacio Arganda-Carreras, Dmitry V. Sorokin, Gloria Bueno, Alexander V. Khvostikov, Spyridon Bakas, Eric I-Chao Chang, Stefan Heldmann, Kimmo Kartasalo, Leena Latonen, Johannes Lotz, Michelle Noga, Sarthak Pati, Kumaradevan Punithakumar Senior Member, Pekka Ruusuvuori, Andrzej Skalski, Nazanin Tahmasebi, Masi Valkonen, Ludovic Venet, Yizhe Wang, Nick Weiss, Marek Wodzinski, Yu Xiang, Yan Xu, Yan Yan, Paul Yushkevic, Shengyu Zhao, Arrate Munoz-Barrutia
    Academic press:
    IEEE Transactions on Medical Imaging (rok: 2020, tom: 39, strony: 3042-3052), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TMI.2020.2986331 - link to the publication
  1. Learning-based Affine Registration of Histological Images
    Authors:
    Marek Wodzinski, Henning Muller
    Conference:
    9th International Workshop on Biomedical Image Registration (WBIR) (rok: 2020, ), Wydawca: Springer
    Data:
    konferencja 43998
    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:
    ASMUS 2021 (MICCAI 2021) (rok: 2021, ), Wydawca: Springer
    Data:
    konferencja 27.09.2021-01.10.2021
    Status:
    Published
  3. InvNet: A Deep Learning Approach to Invert Complex Deformation Fields
    Authors:
    Marek Wodzinski, Henning Muller
    Conference:
    IEEE International Symposium on Biomedical Imaging (ISBI) (rok: 2021, ), Wydawca: IEEE
    Data:
    konferencja 44299
    Status:
    Published
  4. Multi-step, learning-based, semi-supervised image registration algorithm
    Authors:
    Marek Wodzinski
    Conference:
    MICCAI 2020 (L2R) (rok: 2021, ), Wydawca: Springer
    Data:
    konferencja 04.10.2020-08.10.2020
    Status:
    Published
  5. Semi-supervised multilevel symmetric image registration method for magnetic resonance whole brain images
    Authors:
    Marek Wodzinski
    Conference:
    MICCAI 2021 (L2R) (rok: 2022, ), Wydawca: Springer
    Data:
    konferencja 27.09.2021-01.10.2021
    Status:
    Published
  6. Unsupervised learning-based nonrigid registration of high resolution histology images
    Authors:
    Marek Wodzinski, Henning Muller
    Conference:
    Machine Learning in Medical Imaging held in conjunction with MICCAI (MICCAI-MLMI) (rok: 2020, ), Wydawca: Springer
    Data:
    konferencja 44108
    Status:
    Published