Tapio Pahikkala

Patient Privacy in Differentially Private Diagnostic Models (2026)

Järv, Priit; Pahikkala, Tapio; Airola, Antti

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Towards Inclusive AI System Development for Disease Risk Prediction: Collecting, Prioritising and Incorporating User Stories from Heterogeneous Stakeholders (2026)

Lecture Notes in Computer Science

Shopland, Nicholas; Burton, Andrew; Brown, David J.; Mahmud, Mufti; Rahman, Muhammad Arifur; Baldwin, David R.; Airola, Antti; Pahikkala, Tapio; Kontio, Elina; Salmi, Jussi; Ferreira, Carlos Alexandre; Pereira, Tânia; Oliveira, Hélder Filipe; Maceda Garcia, Almudena; Chatzichristos, Christos

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Transfer Learning for ECG Classification: Effects of Shared Labels, Granularity, and Fine-Tuning in Small Clinical Datasets (2026)

Proceedings (IEEE International Symposium on Computer-Based Medical Systems)

Patiño, Chito; Kaisti, Matti; Pahikkala, Tapio; Airola, Antti

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Toward Standardized Quality Evaluation of Synthetic Health Data for the European Health Data Space (2026)

Communications in Computer and Information Science

Alahäivälä, Aino-Lotta I.; Asuroglu, Tunc; Pajula, Juha; Perez, Ileana Montoya; Pahikkala, Tapio; Airola, Antti

(O2 Muu julkaisu )

Discriminating Chemoresistant and Chemosensitive Tubo‐Ovarian High‐Grade Serous Carcinoma Cells With Raman Microscopy (2026)

Journal of Raman Spectroscopy

Harju, Elina; Movahedi, Parisa; Tomberg, Teemu; Fraser-Miller, Sara J.; Piga, Francesco; Saarinen, Jukka; Sircombe, Kathleen J.; Zini, Jacopo; Heikkonen, Jukka; Laury, Anna; Hook, Sarah; Gordon, Keith C.; Pahikkala, Tapio; Strachan, Clare J.

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Securing deep learning models with differential privacy for cardiovascular disease prediction (2026)

Biomedical Signal Processing and Control

Orabe, Zoher; Vasankari, Antti; Pahikkala, Tapio; Kaisti, Matti; Airola, Antti

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

AIAC: A novel Master’s Programme in Artificial Intelligence with Affective Computing (2026)

Faragó, Kinga Bettina; Gulyás, László; Kyyhkynen, Rasmus; Pahikkala, Tapio; Martinet, Jean; Piroddi, Jean; Baude, Françoise; Biancini, Andrea; Djala, Vilma; Moccia, Salvatore; Patiño, Marta; Segovia, Javier; Roveri, Marco; Schiepatti, Federico; Stranger, Alvaro Pina; Troncy, Raphaël

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Response to Letter by Dehaene et al. on Synthetic Discovery is not only a Problem of Differentially Private Synthetic Data (2025)

Methods of Information in Medicine

Montoya Perez, Ileana; Movahedi, Parisa; Nieminen, Valtteri; Airola, Antti; Pahikkala, Tapio

(B1 Vertaisarvioimaton kirjoitus tieteellisessä lehdessä )

Hospital Participation in Federated Learning: Evaluating Sustainability and Clinical Utility (2025)

Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Kazlouski, Andrei; Montoya Perez, Ileana; Pahikkala, Tapio; Airola, Antti

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Towards practical federated learning and evaluation for medical prediction models (2025)

International Journal of Medical Informatics

Kazlouski, Andrei; Montoya, Perez Ileana; Noor, Faiza; Högerman, Mikael; Ettala, Otto; Pahikkala, Tapio; Airola, Antti

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Tapio

Pahikkala

Ota yhteyttä

Linkit

Julkaisut

Järjestä:

Patient Privacy in Differentially Private Diagnostic Models (2026)

Towards Inclusive AI System Development for Disease Risk Prediction: Collecting, Prioritising and Incorporating User Stories from Heterogeneous Stakeholders (2026)

Transfer Learning for ECG Classification: Effects of Shared Labels, Granularity, and Fine-Tuning in Small Clinical Datasets (2026)

Toward Standardized Quality Evaluation of Synthetic Health Data for the European Health Data Space (2026)

Discriminating Chemoresistant and Chemosensitive Tubo‐Ovarian High‐Grade Serous Carcinoma Cells With Raman Microscopy (2026)

Securing deep learning models with differential privacy for cardiovascular disease prediction (2026)

AIAC: A novel Master’s Programme in Artificial Intelligence with Affective Computing (2026)

Response to Letter by Dehaene et al. on Synthetic Discovery is not only a Problem of Differentially Private Synthetic Data (2025)

Hospital Participation in Federated Learning: Evaluating Sustainability and Clinical Utility (2025)

Towards practical federated learning and evaluation for medical prediction models (2025)