Fotografi av Ankica Babic

Ankica Babic

Professor

Publikationer

2025

Johanne Irene Andreassen, Ankica Babic (2025) Visualizing the Intersection of Climate Change Concerns, Health, Attitudes and Demographic Factors Studies in Health Technology and Informatics, s. 545-549 (Artikel i tidskrift) Vidare till DOI
Johanne Irene Andreassen, Ankica Babic (2025) Tailoring Infographics of the Norwegian National Dietary Guidelines Studies in Health Technology and Informatics, s. 260-264 (Artikel i tidskrift) Vidare till DOI
Johanne Irene Andreassen, Ankica Babic (2025) Harnessing Visualization to Enhance Digital Twin in Health Applications Studies in Health Technology and Informatics, s. 595-596 (Artikel i tidskrift) Vidare till DOI
Krister Bauge, Ankica Babic (2025) Gaming for Cognitive Assessment and Enhancement in Elders: A Secondary Analysis of Literature and Applications Studies in Health Technology and Informatics, s. 178-182 (Artikel i tidskrift) Vidare till DOI
Anders Borkenhagen, Ankica Babic (2025) Exploring the Role of Digital Twins in Heart Care: Research Directions and Applications Studies in Health Technology and Informatics, s. 163-167 (Artikel i tidskrift) Vidare till DOI
Arash Gharehbaghi, Ankica Babic (2025) Artificial Intelligence in Cognitive Decline Diagnosis: Evaluating Cutting-Edge Techniques and Modalities Studies in Health Technology and Informatics, s. 46-50 (Artikel i tidskrift) Vidare till DOI
Anders Borkenhagen, Ankica Babic (2025) Developing Lifestyle-Focused Digital Twin Archetypes in Heart Care Studies in Health Technology and Informatics, s. 265-269 (Artikel i tidskrift) Vidare till DOI

2024

Marcus Sannes Thormodsen, Ankica Babic (2024) Information Platform for Antibiotics Proceedings of MIE 2024, s. 403-407 (Konferensbidrag) Vidare till DOI
Naveed Nilforushan, Mozafar Yousefi, Ankica Babic, Arash Gharehbaghi (2024) Clinical Validation of M-TONX: A Novel Combo Rebound Tonometer and Pachymeter Translational Vision Science & Technology, Vol. 13, Artikel 34 (Artikel i tidskrift) Vidare till DOI
Elaheh Partovi, Ankica Babic, Arash Gharehbaghi (2024) A review on deep learning methods for heart sound signal analysis Frontiers in Artificial Intelligence, Vol. 7, Artikel 1434022 (Artikel, forskningsöversikt) Vidare till DOI

Forskning

Organisation