dg club

Our research centers on the use of medical imaging primarily in cancer care. This includes research on image enhancement, utilizing AI methods among others, as well as methods for uncertainty estimation of parameters that can be calculated from imaging data, such as blood flow or diffusion. We also focus on methods to segment normal tissue or cancer based on imaging data, using both traditional techniques and AI-based methods.

We place special emphasis on applications in radiotherapy, where imaging data is a critical component in treatment planning. Specifically, we work on improving the understanding of how what is visible on MRI and PET images correlates with underlying tissue properties, as well as studies on how to enhance dose optimization in radiotherapy to reduce the risk of side effects.

Group Members

Anders Garpebring (Associate Professor, Senior Lecturer)

Anders Garpebring is an independent researcher in the group, focusing on MRI, image analysis, and deep learning methods. Anders also works as an MR physicist at Region Västerbotten. He primarily teaches in the medical physics program but also contributes to the medical and radiology nursing programs.

Joakim Jonsson (PhD, Medical Physicist)

Joakim Jonsson is a medical physicist at the University Hospital of Northern Sweden in Umeå. As an expert in medical imaging and radiation therapy, Joakim is involved in most projects and studies conducted within the group. He also leads an independent research line as a principal supervisor in radiation therapy optimization. He teaches in the medical physics and radiology nursing programs.

Kristina Sandgren (PhD, Medical Physicist)

Kristina Sandgren is a medical physicist at the University Hospital of Northern Sweden in Umeå. Her research focuses particularly on hybrid imaging and radiation therapy. In addition to participating in most group projects, she leads an independent research line as a principal supervisor at the intersection of imaging diagnostics, urology, and pathology for prostate cancer. She primarily teaches in the radiology nursing program.

Elin Wallsten (PhD, Medical Physicist)

Elin Wallsten is a medical physicist at the University Hospital of Northern Sweden in Umeå. With a background in nuclear medicine, she now focuses on AI and radiomics. Within the group, Elin leads an independent research line as a principal supervisor on PET imaging in prostate and gynecological cancer and undertakes PostDoc projects on AI and radiomics, primarily related to lymphoma. She is responsible for the technical components of radiology in the medical program at Umeå University.

Attila Simko (PhD, Staff Scientist)

Attila Simko earned his doctorate in AI methods for image processing related to MRI and radiation therapy. In addition to contributing to the group's deep learning projects, Attila leads an independent research line on reproducibility in medical AI applications.

Angsana Keeratijarut Lindberg (PhD, Staff Scientist)

Angsana Lindberg works on the analysis and annotation of histopathological whole-mount prostate sections linked to the PAMP1 and PAMP2 studies.

Josef Lundman (PhD, Medical Physicist, Software engineer)

Josef Lundman is both a medical physicist and software engineer and are involved in several of our projects with his uniqe combination of competences.

Doctoral Students

Erik Nilsson (Licensed Medical Physicist)

Projects related to PAMP studies, risk prediction, and dose planning for prostate cancer.

Josefine Grefve (Licensed Medical Physicist)

Projects related to PAMP studies, diagnostics, and dose planning for prostate cancer.

William Holmlund (Licensed Medical Physicist)

Projects related to PAMP and Hypo-RT-Boost, AI-based delineation of intra-prostatic structures, and treatment uncertainties.

Maryam Zarei

Projects primarily related to PSMA-PET in the PAMP study and PET/MRI and PET/CT in gynecological cancer.

Amanda Östensson (Licensed Medical Physicist)

Projects focusing on treatment optimization for prostate cancer.

Anneli Nilsson (Licensed Medical Physicist)

Projects related to the automation of radiotherapy using AI methods.

Gustav Jönsson (Licensed Medical Physicist)

Projects on automation and uncertainty estimation in segmentation for radiotherapy.

Mikael Bylund

Projects related to the generation of synthetic CT images based on MRI scans.

Max Hellström (Licensed Medical Physicist)

Medical image enhancement and uncertainty prediction

Collaborators at Umeå University

Karin Söderkvist (Oncologist, MD, Phd)

Camilla Thellenberg Karlsson (Oncologist, MD, Phd)

Björn Zackrisson (Oncologist, MD, Prof)

Anders Bergh (Pathologist, MD, Prof)

Sara Strandberg (Radiologist, Nuclear medicine, MD, Phd)

Katrine Riklund (Radiologist, Nuclear medicine, MD, Prof)

Andreas Josefsson (Urologist, MD, Phd)

Pernilla Wikström (Tumor biologist, Prof)

Tommy Löfstedt (Computor scientist, Phd)

Polina Kurtser (Computor scientist, Phd)