Nickolas Papanikolaou
Group Leader
Principal Investigator
Leads the Computational Clinical Imaging Group. Research interests include medical image analysis, machine learning, and translational imaging science.
Computational Clinical Imaging Group
Research focus
Our work spans computational methods, clinical imaging, and translation to patient care.
Machine Learning for Imaging
Deep learning and statistical models for segmentation, classification, and prediction from clinical scans.
Quantitative Biomarkers
Extracting reproducible, clinically meaningful measurements from routine and research imaging.
Translational Pipelines
Building robust workflows that move methods from research prototypes to clinical evaluation.
People
Researchers and collaborators at CCIG.
José Almeida
Postdoctoral Researcher
Postdoctoral Researcher
Works on computational methods for clinical imaging data.
Ana Castro Verde
PhD Student
PhD Student
Developing models for quantitative imaging biomarkers.
Recent publications
Selected papers from the group.
Author A., Author B., Author C.
Journal Name
machine learningMRI
Author D., Author E.
Conference / Journal Name
segmentation
Active projects
Current research and software efforts.
Clinical Imaging Analysis Platform
ActiveA modular pipeline for preprocessing, analysis, and reporting of routine clinical imaging studies.
platformclinical workflow
Predictive Models from Multimodal Imaging
ActiveIntegrating structural and functional imaging to support outcome prediction and treatment stratification.
multimodalprediction