Our Research
Northwestern University's Quantitative Imaging Core Lab (QICL) researches the development and evaluation of new imaging biomarkers and automated imaging solutions to obtain functional and structural characteristics of tumor.
We are developing the innovational imaging biomarkers as supplemental biomarkers to meet new trial requirements and to provide specialty expertise for specific imaging protocols that many other core labs do not have available.
Research Fellowships
Deep Learning Postdoctoral Fellowship in Cancer Imaging and Radiology
QICL is seeking a full-time deep learning postdoctoral fellow in Cancer Imaging and Radiology.
Read more about the deep learning fellowship.
Radiology Research Fellowship in Cancer Imaging and Radiomics
QICL seeks a full-time radiology research fellow. We are seeking a highly motivated individual with an accomplished background in oncologic imaging research, including experience in quantitative imaging and radiomics. Research topics include development of new imaging biomarkers for assessment of tumor response to therapy, imaging-based tumor diagnostics and classification, as well as validation and reproducibility of imaging methods and quantitative techniques.
Learn more about the radiology research fellowship.
KIME Image Processing Software
We have developed DICOM processing software, KIME, focused on quantitative oncologic imaging. It includes tools for semi-automated segmentation and calculation of a wide range of textural, or radiomic, features from CT, PET and MR images.