Tapio Pahikkala

Cost-effective survival prediction for patients with advanced prostate cancer using clinical trial and real-world hospital registry datasets (2020)

International Journal of Medical Informatics

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Towards dynamic forest trafficability prediction using open spatial data, hydrological modelling and sensor technology (2020)

Forestry

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Measuring Player Retention and Monetization Using the Mean Cumulative Function (2020)

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health (2019)

Future Generation Computer Systems

Azimi I., Pahikkala T., Rahmani A., Niela-Vilén H., Axelin A., Liljeberg P.

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Prediction of biochemical recurrence in prostate cancer patients who underwent prostatectomy using routine clinical prostate multiparametric MRI and decipher genomic score (2019)

Journal of Magnetic Resonance Imaging

Jambor I, Falagario U, Ratnani P, Perez IM, Demir K, Merisaari H, Sobotka S, Haines GK, Martini A, Beksac AT, Lewis S, Pahikkala T, Wiklund P, Nair S, Tewari A

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Luminometric label array for quantification of metal ions in drinking water – Comparison to human taste panel (2019)

Microchemical Journal

Tanja Seppälä, Tuuli Ruponen, Mari Sandell, Parisa Movahedi, Ileana Montoya Perez, Leo Lepistö, Oskar Laaksonen, Tapio Pahikkala, Harri Härmä, Sari Pihlasalo

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization (2019)

PLoS ONE

Jussi Toivonen, Ileana Montoya Perez, Parisa Movahedi, Harri Merisaari, Marko Pesola, Pekka Taimen, Peter J. Boström, Jonne Pohjankukka, Aida Kiviniemi, Tapio Pahikkala, Hannu J. Aronen, Ivan Jambor

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Prostate Cancer Risk Stratification in Men With a Clinical Suspicion of Prostate Cancer Using a Unique Biparametric MRI and Expression of 11 Genes in Apparently Benign Tissue: Evaluation Using Machine-Learning Techniques (2019)

Journal of Magnetic Resonance Imaging

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

IMPROD biparametric MRI in men with a clinical suspicion of prostate cancer (IMPROD Trial): Sensitivity for prostate cancer detection in correlation with whole-mount prostatectomy sections and implications for focal therapy (2019)

Journal of Magnetic Resonance Imaging

Merisaari H., Jambor I., Ettala O., Boström P.J., Montoya Perez I., Verho J., Kiviniemi A., Syvänen K., Kähkönen E., Eklund L., Pahikkala T., Vainio P., Saunavaara J., Aronen H.J., Taimen P.

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Predicting the monetization percentage with survival analysis in free-to-play games (2019)

Riikka Numminen, Markus Viljanen, Tapio Pahikkala

(A4 Artikkeli konferenssijulkaisussa)

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Cost-effective survival prediction for patients with advanced prostate cancer using clinical trial and real-world hospital registry datasets (2020)

Towards dynamic forest trafficability prediction using open spatial data, hydrological modelling and sensor technology (2020)

Measuring Player Retention and Monetization Using the Mean Cumulative Function (2020)

Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health (2019)

Prediction of biochemical recurrence in prostate cancer patients who underwent prostatectomy using routine clinical prostate multiparametric MRI and decipher genomic score (2019)

Luminometric label array for quantification of metal ions in drinking water – Comparison to human taste panel (2019)

Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization (2019)

Prostate Cancer Risk Stratification in Men With a Clinical Suspicion of Prostate Cancer Using a Unique Biparametric MRI and Expression of 11 Genes in Apparently Benign Tissue: Evaluation Using Machine-Learning Techniques (2019)

IMPROD biparametric MRI in men with a clinical suspicion of prostate cancer (IMPROD Trial): Sensitivity for prostate cancer detection in correlation with whole-mount prostatectomy sections and implications for focal therapy (2019)

Predicting the monetization percentage with survival analysis in free-to-play games (2019)