A versatile software package for inter-subject correlation based analyses of fMRI. - Jukka-Pekka Kauppi; Juha Pajula; Jussi Tohka (Frontiers Neuroinformatics, 2014)

How Many Is Enough? Effect of Sample Size in Inter-Subject Correlation Analysis of fMRI. - Juha Pajula; Jussi Tohka (Comput. Intell. Neurosci., 2016)

Meaningful Integration of Data, Analytics and Services of Computer-Based Medical Systems: The MIDAS Touch. - Michaela M. Black; Jonathan G. Wallace; Debbie Rankin; Paul Carlin; Raymond R. Bond; Maurice D. Mulvenna; Brian Cleland; Scott Fischaber; Gorka Epelde; Gorana Nikolic; Juha Pajula; Regina Connolly (CBMS, 2019)

Usability Evaluation of a Co-created Big Data Analytics Platform for Health Policy-Making. - Brian Cleland; Jonathan G. Wallace; Raymond R. Bond; Salla Muuraiskangas; Juha Pajula; Gorka Epelde; Mónica Arrúe; Roberto Álvarez 001; Michaela M. Black; Maurice D. Mulvenna; Deborah M. Rankin; Paul Carlin (HCI (4), 2019)

Prediction of Five-Year Breast Cancer Recurrence in Women Treated with Neoadjuvant Chemotherapy. - Simona Rabinovici-Cohen; Xosé M. Fernández; Beatriz Grandal Rejo; Efrat Hexter; Oliver Hijano Cubelos; Juha Pajula; Harri Pölönen; Fabien Reyal; Michal Rosen-Zvi (AMIA, 2021)

MAMAF-Net: Motion-Aware and Multi-Attention Fusion Network for Stroke Diagnosis. - Aysen Degerli; Pekka Jäkälä; Juha Pajula; Miguel Bordallo López (CoRR, 2023)

MAMAF-Net: Motion-aware and multi-attention fusion network for stroke diagnosis. - Aysen Degerli; Pekka Jäkälä; Juha Pajula; Milla Immonen; Miguel Bordallo López (Biomed. Signal Process. Control., 2024)

Advanced Assessment of Stroke in Retinal Fundus Imaging with Deep Multi-view Learning. - Aysen Degerli; Mika Hilvo; Juha Pajula; Petri Huhtinen; Pekka Jäkälä (CoRR, 2025)

Federated Learning for Predicting Mild Cognitive Impairment to Dementia Conversion. - Gaurang Sharma; Elaheh Moradi; Juha Pajula; Mika Hilvo; Jussi Tohka (CoRR, 2025)