Valtteri Nieminen

Large-Scale Network Study on the Impact of Immune Checkpoint Therapy in Metastatic Non-Small Cell Lung Cancer: The iCAN mNSCLC Study-a-Thon (2025)

Valtteri Nieminen, Annelies Verbiest, Alexey Ryzhenkov, Stelios Theophanous, Geoff Hall, Thejas Bharadwaj, Jasmin Carus, Vagelis Chandakas, Eleanor Cheese, Wei Hai Deng, Dmytro Dymshyts, Espen Enerly, Otto Ettala, Michael Franz, Katja Hoffmann, Mikael Högerman, Annelies Janssens, Tommi Kauko, Martin Koch, Sampo Kukkurainen, Harri Rantala, Carlos López Gómez, Álvaro Martínez Pérez, John Methot, Agnes Moesgaard Eschen, Henry Morgan, María Eugenia Gas López, Parisa Movahedi, Tomi Mäkelä, Ghazaleh Niknam, Laura Perez, Christian Reich, Tom Stone, Ping Sun, Pia Tajanen-Doumbouya, Zarah Van Schoor, Åsa Öjlert, Ilkka Ilonen, Paula Kauppi, Elad Sharon, Daniel Smith, Georgina Kennedy, Åslaug Helland, Eric Fey, Asieh Golozar, Aija Knuuttila, Kimmo Porkka

(O2 Muu julkaisu )

P1.17.67 A Large-Scale Network Study on Impact of Immune Checkpoint Therapy in Metastatic Non-Small Cell Lung Cancer: The iCan mNSCLC Study-A-Thon (2025)

Journal of Thoracic Oncology

Ilonen I.; Verbiest A.; Theophanous S.; Ryzhenkov A.; Nieminen V.; Bharadwaj T.; Carus J.; Chandakas V.; Cheese E.; Deng W.H.; Dymshyts D.; Enerly E.; Ettala O.; Franz M.; Hoffmann K.; Högerman M.; Janssens A.; Kauko T.; Koch M.; Kukkurainen S.; López Gómez C.; Martìnez Pèrez À.; Methot J.; Moesgaard Eschen A.; Morgan Stewart H.; Gas López M.E.; Movahedi P.; Mäkelä T.; Ghazaleh N.; Nute A.; Perez L.; Reich C.; Stone T.; Sun P.; Tajanen-Doumbouya P.; Van Schoor Z.; Öjlert Å.; Kauppi P.; Sharon E.; Smith D.; Kennedy G.; Helland Å.; Fey E.; Golozar A.; Knuuttila A.; Porkka K.; Rantala H.

(O2 Muu julkaisu )

FinOMOP Swarm Learning – Distributed Deep Learning for Patient-Specific Predictive Modelling of Acute Myeloid Leukemia (2025)

Eric Fey, Valtteri Nieminen, Salma Rachidi, Hartmut Schultze, Vytis Vadoklis, Perre Gustafsson, Johansson Markus, Kauko Tommi, Anna Hammais, Kukkurainen Sampo, Niemelä Sami, Tuomas Hakala, Alexey Ryzhenkov, Tomi Mäkelä, Oscar Brück, Joachim Schultze, Tarja Laitinen, Arho Virkki, Kimmo Porkka

(O2 Muu julkaisu )

Response to Commentary 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 )

2318P FALCON: A novel high-quality cancer network for RWE (2025)

Annals of Oncology

Golozar A.; Verbiest A.T.L.; Ryzhenkov A.; Nieminen V.; Hoffmann K.; Janssens A.; López Gómez C.; Kauko T.; Methot J.; Minne J.; Moesgaard Eschen A.; Morgan Stewart H.; Stone T.; Tajanen-Doumbouya P.; Theophanous S.; Van Schoor Z.; Enerly E.; Porkka K.; Reich C.; Fey E.

(O2 Muu julkaisu )

Deep Learning Models for Predicting Overall Survival of Acute Myeloid Leukemia Using Short-Term Longitudinal Blood Measurements and the Omop Common Data Model (2024)

Blood

Rachidi, Salma; Ryzhenkov, Alexey; Nieminen, Valtteri; Mäkelä, Tomi P.; Brück, Oscar; Porkka, Kimmo; Fey, Eric

(Abstrakti)

Relationships between self-efficacy and learning approaches as perceived by computer science students (2024)

Frontiers in Education

Laitinen, Satu; Christopoulos, Athanasios; Laitinen, Petteri; Nieminen, Valtteri

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Benchmarking Evaluation Protocols for Classifiers Trained on Differentially Private Synthetic Data (2024)

IEEE Access

Movahedi, Parisa; Nieminen, Valtteri; Perez, Ileana Montoya; Daafane, Hiba; Sukhwal, Dishant; Pahikkala, Tapio; Airola, Antti

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Finnish perspective on using synthetic health data to protect privacy: the PRIVASA project (2024)

Applied Computing and Intelligence

Pitkämäki, Tinja; Pahikkala, Tapio; Montoya Perez, Ileana; Movahedi, Parisa; Nieminen, Valtteri; Southerington, Tom; Vaiste, Juho; Jafaritadi, Mojtaba; Khan, Muhammad Irfan; Kontio, Elina; Ranttila, Pertti; Pajula, Juha; Pölönen, Harri; Degerli, Aysen; Plomp, Johan; Airola, Antti

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Adopting the OMOP Oncology CDM at the Helsinki University Hospital (2024)

Valtteri Nieminen, Alexey Ryzhenkov, Johanna Sanoja, Salma Rachidi, Juho Lähteenmaa, Joonas Laitinen, Samu
Eränen, Johanna Niklander, Anna Kuosmanen, Oscar Brück, Pasi Rikala, Anna Virtanen, Marianna Niemi, Tomi
Mäkelä, Eric Fey, Kimmo Porkka

(Konferenssiposteri)

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Nieminen

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Large-Scale Network Study on the Impact of Immune Checkpoint Therapy in Metastatic Non-Small Cell Lung Cancer: The iCAN mNSCLC Study-a-Thon (2025)

P1.17.67 A Large-Scale Network Study on Impact of Immune Checkpoint Therapy in Metastatic Non-Small Cell Lung Cancer: The iCan mNSCLC Study-A-Thon (2025)

FinOMOP Swarm Learning – Distributed Deep Learning for Patient-Specific Predictive Modelling of Acute Myeloid Leukemia (2025)

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

2318P FALCON: A novel high-quality cancer network for RWE (2025)

Deep Learning Models for Predicting Overall Survival of Acute Myeloid Leukemia Using Short-Term Longitudinal Blood Measurements and the Omop Common Data Model (2024)

Relationships between self-efficacy and learning approaches as perceived by computer science students (2024)

Benchmarking Evaluation Protocols for Classifiers Trained on Differentially Private Synthetic Data (2024)

Finnish perspective on using synthetic health data to protect privacy: the PRIVASA project (2024)

Adopting the OMOP Oncology CDM at the Helsinki University Hospital (2024)