Dr. Saul Fuster received a Ph.D. in Science and
Technology at University of Stavanger in 2024. He obtained his Master of Telecommunications Engineering from
Universitat Politècnica de València in 2019. He received his B.Sc. in
Telecommunications Engineering in 2017. He is a Marie-Curie Early Stage
Researcher (ESR) working on the CLARIFY Project (EU Horizon 2020 Project). CLARIFY’s
main goal is to develop a robust automated digital diagnostic environment based
on artificial intelligence and cloud-oriented data algorithms that facilitates
whole slide image (WSIs) interpretation and diagnosis everywhere, with the aim of
maximising the benefits of digital pathology and aiding pathologists in their
daily work. His research interests are in AI algorithms, particularly with
computer vision for gigapixel images. He is working on developing algorithms
and systems to extract diagnostically relevant information for histological
whole slide images (WSIs) of non-muscle-invasive bladder cancer (NMBC).
Dr. Emiel A.M. Janssen is a Director at the Department
of Pathology, Stavanger University Hospital in Stavanger, Norway. His research
program is devoted to diminishing patient suffering from over- and
undertreatment by developing better diagnostics for treatment decision making.
The development, validation and implementation of new biomarkers is the main
focus of his research. His laboratory has particular expertise in RNA
profiling, including analysis of gene expression and microRNAs. Furthermore, they
use digital pathology, image analysis tools, and artificial intelligence
algorithms to improve current diagnostics in pathology. Breast cancer,
gynecological cancer and urological cancer are the main malignancies that they
investigate.
Prof. Kjersti Engan is a full professor at the
Electrical Engineering and Computer Science Department at the University of
Stavanger (UiS). She received a BE degree in electrical engineering from Bergen
University College in 1994 and M.Sc. and Ph.D degrees in electrical
engineering in 1996 and 2000, respectively, from UiS. She is the leader of the
biomedical data analysis lab - BMDLab - at UiS. Her research interests are in
signal and image processing and machine learning with emphasis on medical
applications and in dictionary learning for sparse signal and image
representation. Past and current projects in collaboration with local and
international hospitals and partners include analysis, classification and
segmentation in Cardiac MR on infarct patients, brain MRI on dementia patients,
CT Perfusion images from stroke patients and on histopathological images for
different cancer types. She is also active in projects on cardiac arrest and
newborn survival, contributing with analysis and classification on fetal heart
rate signals, ECG and ventilation signals and on video analysis for activity
detection during resuscitation. She is a senior member of IEEE, and a board
member of NOBIM (Norwegian Image and Pattern Recognition Society). She has
served as Associate Editor and Senior Area Editor for IEEE Signal Processing
Letters, and as a member of IEEE Image, Video, and Multidimensional Signal
Processing Technical Committee (IVMSP).
