179 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of StavangerNO16 papers
- Karolinska InstitutetSE4 papers
- Science for Life LaboratorySE3 papers
- Griffith UniversityAU2 papers
- Laerdal (Norway)NO2 papers
- Medical University of LodzPL2 papers
- Synapse (Spain)ES2 papers
- Universitat Politècnica de ValènciaES2 papers
- University of BergenNO2 papers
- Aarhus UniversityDK1 paper
- Aarhus University HospitalDK1 paper
- Aichi Medical UniversityJP1 paper
9 papers · 1 filter
Clinical Pathways Matter for Multimodal Deep Learning in Early Alzheimers Disease Detection
Yao Lu, Solveig Kristina Hammonds, Alvaro Fernandez-Quilez
Identifying individuals at risk of Alzheimer's disease (AD), particularly in the preclinical and early stages, remains challenging. Although deep learning approaches based on struc…
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation
Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi +4
Precise ischemic lesion segmentation plays an essential role in improving diagnosis and treatment planning for ischemic stroke, one of the prevalent diseases with the highest morta…
CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Ischemic Stroke
Luca Tomasetti, Kjersti Engan, Liv Jorunn Høllesli +2
Precise and fast prediction methods for ischemic areas comprised of dead tissue, core, and salvageable tissue, penumbra, in acute ischemic stroke (AIS) patients are of significant…
Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images
Neel Kanwal, Roger Amundsen, Helga Hardardottir +4
Melanoma diagnosed and treated in its early stages can increase the survival rate. A projected increase in skin cancer incidents and a dearth of dermatopathologists have emphasized…
Challenging mitosis detection algorithms: Global labels allow centroid localization
Claudio Fernandez-Martín, Umay Kiraz, Julio Silva-Rodríguez +3
Mitotic activity is a crucial proliferation biomarker for the diagnosis and prognosis of different types of cancers. Nevertheless, mitosis counting is a cumbersome process for path…
Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection
Luca Tomasetti, Mahdieh Khanmohammadi, Kjersti Engan +2
Time is a fundamental factor during stroke treatments. A fast, automatic approach that segments the ischemic regions helps treatment decisions. In clinical use today, a set of colo…
CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging
Luca Tomasetti, Kjersti Engan, Mahdieh Khanmohammadi +1
More than 13 million people suffer from ischemic cerebral stroke worldwide each year. Thrombolytic treatment can reduce brain damage but has a narrow treatment window. Computed Tom…
Improving prostate whole gland segmentation in t2-weighted MRI with synthetically generated data
Alvaro Fernandez-Quilez, Steinar Valle Larsen, Morten Goodwin +3
Whole gland (WG) segmentation of the prostate plays a crucial role in detection, staging and treatment planning of prostate cancer (PCa). Despite promise shown by deep learning (DL…
Multiscale Deep Neural Networks for Multiclass Tissue Classification of Histological Whole-Slide Images
Rune Wetteland, Kjersti Engan, Trygve Eftestøl +2
Correct treatment of urothelial carcinoma patients is dependent on accurate grading and staging of the cancer tumour. This is determined manually by a pathologist by examining the…