Biomedical Vision and Learning Group

Biomedical Vision and Learning is a specialized research group under the Center for Machine Vision and Signal Analysis, led by Dr. Md. Ziaul Hoque and Prof. Tapio Seppänen. This research group aims to develop machine learning and deep learning-driven AI-based solutions for objective diagnosis, prognosis, and biomarker discovery.

Contact information

Research group leader

Research group description

Biomedical Vision and Learning research team is dedicated to developing automated and objective mechanisms to reduce interobserver and intraobserver variability in cancer diagnosis, utilizing artificial intelligence as an assistive tool for pathologists or doctors. The team focuses on developing novel algorithms and methodologies to identify clinically relevant morphological phenotypes and biomarkers associated with therapeutic responses. The team also works on developing multimodal fusion algorithms that integrate information from multiple imaging modalities, familial and patient histories, and multi-omics data to enable more precise diagnostic, prognostic, and therapeutic determinations.


Team members

Research areas

  • Medical Image Analysis
  • Computer Vision for Digital Pathology
  • Soft Tissue Image Analysis
  • Data-driven Artificial Intelligence
  • Agentic AI for Diagnosis and Biomedical Discovery
  • Internet of Medical Things (IoMT)

Contact person

Md. Ziaul Hoque

Visiting address:
Room No: TS381, CMVS, Tietotalo (3rd Floor)
P.O. Box 4500, FI-90014, University of Oulu, Finland
E-mail: mdziaul.hoque@oulu.fi Tel: +358 (0) 503476233