Tapio Pahikkala

Prediction of prostate cancer aggressiveness using 18 F-Fluciclovine (FACBC) PET and multisequence multiparametric MRI (2020)

Scientific Reports

Movahedi P, Merisaari H, Perez IM, Taimen P, Kemppainen J, Kuisma A, Eskola O, Teuho J, Saunavaara J, Pesola M, Kähkönen E, Ettala O, Liimatainen T, Pahikkala T, Boström P, Aronen H, Minn H, Jambor I

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

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)

Negative Predictive Value of Biparametric Prostate Magnetic Resonance Imaging in Excluding Significant Prostate Cancer: A Pooled Data Analysis Based on Clinical Data from Four Prospective, Registered Studies (2020)

European Urology Focus

Juha Knaapila, Ivan Jambor, Otto Ettala, Pekka Taimen, Janne Verho, Ileana Montoya Perez, Aida Kiviniemi, Tapio Pahikkala, Harri Merisaari, Tarja Lamminen, Jani Saunavaara, Hannu J.Aronen, Kari T.Syvänen, Peter J.Boström

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Effect of oat β-glucan of different molecular weights on fecal bile acids, urine metabolites and pressure in the digestive tract – A human cross over trial (2020)

Food Chemistry

Hakkola S., Nylund L., Rosa-Sibakov N., Yang B., Nordlund E., Pahikkala T., Kalliomäki M., Aura A.M., Linderborg K.M.

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

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

Forestry

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Synthetic minority oversampling of vital statistics data with generative adversarial networks (2020)

Journal of the American Medical Informatics Association

Aki Koivu, Mikko Sairanen, Antti Airola, Tapio Pahikkala

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Developing a pain intensity prediction model using facial expression: A feasibility study with electromyography (2020)

PLoS ONE

Mieronkoski R, Syrjälä E, Jiang M, Rahmani A, Pahikkala T, Liljeberg P, Salanterä S

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

GeFeS: A generalized wrapper feature selection approach for optimizing classification performance (2020)

Computers in Biology and Medicine

Golnaz Sahebi, Parisa Movahedi, Masoumeh Ebrahimi, Tapio Pahikkala, Juha Plosila, Hannu Tenhunen

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

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

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Predicting profitability of peer-to-peer loans with recovery models for censored data (2020)

Smart innovation, systems and technologies

Markus Viljanen, Ajay Byanjankar, Tapio Pahikkala

(A4 Artikkeli konferenssijulkaisussa)

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Prediction of prostate cancer aggressiveness using 18 F-Fluciclovine (FACBC) PET and multisequence multiparametric MRI (2020)

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

Negative Predictive Value of Biparametric Prostate Magnetic Resonance Imaging in Excluding Significant Prostate Cancer: A Pooled Data Analysis Based on Clinical Data from Four Prospective, Registered Studies (2020)

Effect of oat β-glucan of different molecular weights on fecal bile acids, urine metabolites and pressure in the digestive tract – A human cross over trial (2020)

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

Synthetic minority oversampling of vital statistics data with generative adversarial networks (2020)

Developing a pain intensity prediction model using facial expression: A feasibility study with electromyography (2020)

GeFeS: A generalized wrapper feature selection approach for optimizing classification performance (2020)

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

Predicting profitability of peer-to-peer loans with recovery models for censored data (2020)