Skip to main content

and
  1. Article

    Open Access

    UnMICST: Deep learning with real augmentation for robust segmentation of highly multiplexed images of human tissues

    Upcoming technologies enable routine collection of highly multiplexed (20–60 channel), subcellular resolution images of mammalian tissues for research and diagnosis. Extracting single cell data from such image...

    Clarence Yapp, Edward Novikov, Won-Dong Jang, Tuulia Vallius in Communications Biology (2022)

  2. Article

    Open Access

    Author Correction: Virtual clinical trials identify effective combination therapies in ovarian cancer

    An amendment to this paper has been published and can be accessed via a link at the top of the paper.

    Emilia Kozłowska, Tuulia Vallius, Johanna Hynninen, Sakari Hietanen in Scientific Reports (2020)

  3. Article

    Open Access

    Virtual clinical trials identify effective combination therapies in ovarian cancer

    A major issue in oncology is the high failure rate of translating preclinical results in successful clinical trials. Using a virtual clinical trial simulations approach, we present a mathematical framework to ...

    Emilia Kozłowska, Tuulia Vallius, Johanna Hynninen, Sakari Hietanen in Scientific Reports (2019)

  4. No Access

    Article

    18F-FDG-PET/CT based total metabolic tumor volume change during neoadjuvant chemotherapy predicts outcome in advanced epithelial ovarian cancer

    To evaluate the predictive potential of total metabolic tumor volume (MTV) reduction during neoadjuvant chemotherapy (NACT) with 18F–FDG-PET/CT in an advanced FIGO stage III/IV epithelial ovarian cancer (EOC) pat...

    Tuulia Vallius, Johanna Hynninen in European Journal of Nuclear Medicine and M… (2018)

  5. No Access

    Article

    Serum HE4 and CA125 as predictors of response and outcome during neoadjuvant chemotherapy of advanced high-grade serous ovarian cancer

    Human epididymis protein 4 (HE4) is a novel tumour marker in epithelial ovarian cancer (EOC). Data on its profile and predictive potential for subsequent outcome after neoadjuvant chemotherapy (NACT) are still...

    Tuulia Vallius, Johanna Hynninen, Annika Auranen, Olli Carpén in Tumor Biology (2014)