Hanna Suominen

Disentangling Blood-Based Markers of Multiple Sclerosis Through Machine Learning: An Evaluation Study (2025)

Studies in Health Technology and Informatics

Vlieger, Robin; Rizia, Mst Mousumi; Amjadipour, Abolfazl; Cherbuin, Nicolas; Brüstle, Anne; Suominen, Hanna

(Konferenssiposteri)

Can Augmented Reality Head-Mounted Display Exergames Support the Management of Multiple Sclerosis at Home? Workshop Discussions with Researchers and Experts with Lived Experience of MS (2025)

Adiwangsa, Michelle; Suominen, Hanna; Sweetser, Penny

(Abstrakti)

Metal Oxide-Metal Organic Framework Layers for Discrimination of Multiple Gases Employing Machine Learning Algorithms (2025)

ACS Applied Materials and Interfaces

John, Alishba T.; Qian, Jing; Wang, Qi; Garay-Rairan, Fabian S.; Bandara, Y. M. Nuwan D. Y.; Lensky, Artem; Murugappan, Krishnan; Suominen, Hanna; Tricoli, Antonio

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Measuring Fatigue in Multiple Sclerosis: A Rapid Review (2025)

The Patient - Patient-Centered Outcomes Research

Namsrai, Tergel; Parkinson, Anne; Burns, Richard; Herkes, Geoffrey; Elisha, Mark; Chisholm, Katrina; Drew, Janet; Fanning, Vanessa; Brüstle, Anne; Suominen, Hanna; Cherbuin, Nicolas; Desborough, Jane

(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)

Comparing Deterministic and Stochastic Reinforcement Learning for Glucose Regulation in Type 1 Diabetes (2025)

Studies in Health Technology and Informatics

Timms, David; Hettiarachchi, Chirath; Suominen, Hanna

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Supporting consumer engagement in health research about chronic conditions: a scoping review of evidence-based resources (2025)

Research involvement and engagement

Zhou, Mingming; Parkinson, Anne; Lyu, Mengyu Andy; Suominen, Hanna; Watts, Leanne; Desborough, Jane

(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)

Contrastive Language-Entity Pre-training for Richer Knowledge Graph Embedding (2025)

International Conference on Pattern Recognition and Artificial Intelligence, Lecture Notes in Computer Science

Papaluca Andrea; Krefl Daniel; Lensky Artem; Suominen Hanna

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Understanding the Development of Disease in Radiology Scans of the Brain through Deep Generative Modelling (2024)

IEEE International Conference on Bioinformatics and Biomedicine, Proceedings (IEEE International Conference on Bioinformatics and Biomedicine)

Rizia, Mst Mousumi; Chenchen Xu, Chenchen; Roberts, Jennie; Barrett, Liat; Karunasena, Sajith; Edelstein, Simon; Suominen, Hanna

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Explaining predictors of discharge destination assessed along the patients’ acute stroke journey (2024)

Journal of Stroke and Cerebrovascular Diseases

Lensky Artem, Lueck Christian, Suominen Hanna, Jones Brett, Vlieger Robin, Ahluwalia Tina

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Orientation-conditioned Facial Texture Mapping for Video-based Facial Remote Photoplethysmography Estimation (2024)

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Cantrill, Sam; Ahmedt-Aristizabal, David; Petersson, Lars; Suominen, Hanna; Armin, Mohammad Ali

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Hanna

Suominen

Ota yhteyttä

Julkaisut

Järjestä:

Disentangling Blood-Based Markers of Multiple Sclerosis Through Machine Learning: An Evaluation Study (2025)

Can Augmented Reality Head-Mounted Display Exergames Support the Management of Multiple Sclerosis at Home? Workshop Discussions with Researchers and Experts with Lived Experience of MS (2025)

Metal Oxide-Metal Organic Framework Layers for Discrimination of Multiple Gases Employing Machine Learning Algorithms (2025)

Measuring Fatigue in Multiple Sclerosis: A Rapid Review (2025)

Comparing Deterministic and Stochastic Reinforcement Learning for Glucose Regulation in Type 1 Diabetes (2025)

Supporting consumer engagement in health research about chronic conditions: a scoping review of evidence-based resources (2025)

Contrastive Language-Entity Pre-training for Richer Knowledge Graph Embedding (2025)

Understanding the Development of Disease in Radiology Scans of the Brain through Deep Generative Modelling (2024)

Explaining predictors of discharge destination assessed along the patients’ acute stroke journey (2024)

Orientation-conditioned Facial Texture Mapping for Video-based Facial Remote Photoplethysmography Estimation (2024)