Výpis publikací

BUOSI, Samuele, Mohan TIMILSINA, Adriann JANIK, Luca COSTABELLO, Maria TORRENTE, Mariano PROVENCIO, Dirk FEY a Vít NOVÁČEK. Machine learning estimated probability of relapse in early-stage non-small-cell lung cancer patients with aneuploidy imputation scores and knowledge graph embeddings. Expert Systems with Applications. Elsevier, 2024, roč. 2024, č. 235, s. 121-127. ISSN 0957-4174. Dostupné z: https://dx.doi.org/10.1016/j.eswa.2023.121127.

NOVACEK, Vít. Curing Cancer with Knowledge Graphs (and other Outrageous Ideas). In Knowledge Graphs and Semantic Computing Series at University of Illinois Urbana-Champaign. 2023.

ZELINA, Petr, Jana HALÁMKOVÁ a Vít NOVÁČEK. Extraction, labeling, clustering, and semantic mapping of segments from clinical notes. IEEE TRANSACTIONS ON NANOBIOSCIENCE. UNITED STATES: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2023, roč. 22, č. 4, s. 781-788. ISSN 1536-1241. Dostupné z: https://dx.doi.org/10.1109/TNB.2023.3275195.

JANIK, Adrianna, Maria TORRENTE, Luca COSTABELLO, Virginia CALVO, Brian WALSH, Carlos CAMPS, Sameh K MOHAMED, Ana L ORTEGA, Vít NOVÁČEK, Bartomeu MASSUTÍ, Pasquale MINERVINI, M Rosario GARCIA CAMPELO, Edel del BARCO, Joaquim BOSCH-BARRERA, Ernestina MENASALVAS, Mohan TIMILSINA a Mariano PROVENCIO. Machine Learning–Assisted Recurrence Prediction for Patients With Early-Stage Non–Small-Cell Lung Cancer. JCO CLINICAL CANCER INFORMATICS. UNITED STATES: LIPPINCOTT WILLIAMS & WILKINS, 2023, roč. 7, e2200062, s. 1-11. ISSN 2473-4276. Dostupné z: https://dx.doi.org/10.1200/CCI.22.00062.

NOVACEK, Vít, Marko ŘEHÁČEK, Petr ZELINA a Jana HALÁMKOVÁ. AI for Cancer Patient Empowerment - Interim Results of the AIcope Project. 2022.

TORRENTE, María, Pedro A SOUSA, Roberto HERNÁNDEZ, Mariola BLANCO, Virginia Calvo Ana COLLAZO, Gracinda R GUERREIRO, Beatriz NÚÑEZ, Joao PIMENTAO, Juan Cristóbal SÁNCHEZ, Manuel CAMPOS, Luca COSTABELLO, Vít NOVÁČEK, Ernestina MENASALVAS, María Esther VIDAL, Mariano PROVENCIO a Virginia CALVO. An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients: Results from the Clarify Study. CANCERS. SWITZERLAND: MDPI, 2022, roč. 14, č. 16, s. 1-10. ISSN 2072-6694. Dostupné z: https://dx.doi.org/10.3390/cancers14164041.

TIMILSINA, Mohan, Dirk FEY, Adrianna JANIK, Maria TORRENTE, Mariano PROVENCIO, Alberto Cruz BERMUDEZ, Enric CARCERENY, Luca COSTABELLO, Delvys Rodrıguez ABREU, Manuel COBO, Rafael Lopez CASTRO, Reyes BERNABE, Maria GUIRADO, Pasquale MINERVINI a Vít NOVÁČEK. Integration of Medical and Genomic Information to Enhance Relapse Prediction in Early Stage Lung Cancer Patients. Online. In Proceedings of the Annual Symposium of the American Medical Informatics Association. Washington, USA: AMIA, 2022, s. 1082-1091. ISSN 1559-4076.

ZELINA, Petr, Jana HALÁMKOVÁ a Vít NOVÁČEK. Unsupervised extraction, labelling and clustering of segments from clinical notes. Online. In Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM). USA: IEEE, 2022, s. 1362-1368. ISBN 978-1-6654-6820-6. Dostupné z: https://dx.doi.org/10.1109/BIBM55620.2022.9995229.

MOHAMED, Sameh K., Brian WALSH, Mohan TIMILSINA, Maria TORRENTE, Fabio FRANCO, Mariano PROVENCIO, Adrianna JANIK, Luca COSTABELLO, Pasquale MINERVINI, Pontus STENETORP a Vít NOVÁČEK. On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer. Online. In Adam B. Wilcox, Randi Foraker, Kensaku Kawamoto, Yves A. Lussier, Nadine McCleary. Proceedings of AMIA 2021 Annual Symposium. San Diego: AMIA, 2021, s. 853-862. ISSN 1942-597X.

TORRENTE, M., F. FRANCO, V. CALVO, A. Collazo LORDUY, E. MENASALVAS, M. E. VIDAL, P. SOUSA, J. PIMENTAO, Vít NOVÁČEK, P. MINERVINI, D. FEY, L. COSTABELLO, M. POCS a M. PROVENCIO. P08. 01 Building Personalized Follow-Up Care Through AI by Bringing the Lung Cancer Patient, Data Scientist and Oncologist Together. Journal of Thoracic Oncology. Elsevier, 2021, roč. 16, č. 10, s. 991-992. ISSN 1556-1380. Dostupné z: https://dx.doi.org/10.1016/j.jtho.2021.08.294.

MORNSTEIN, Vojtěch, Vladan BERNARD, Marek DOSTÁL, Ivo HRAZDIRA, Erik STAFFA, Jaromír ŠRÁMEK a Daniel VLK. Lékařská fyzika a biofyzika. 1. vydání. Brno: Masarykova univerzita, 2018, 339 s. ISBN 978-80-210-8984-6.

PETRÁŠ, Miroslav, Jaroslav RÁČEK a Jana SEDLÁČKOVÁ. Portálová podpora Národního onkologického programu. In Tvorba softwaru 2007. Ostrava: VŠB - Technická univerzita Ostrava, 2007, s. 174 - 179. ISBN 978-80-248-1427-8.

PETRÁŠ, Miroslav a Jaroslav RÁČEK. Komunikační systém NOP On-line. In 3. letní škola aplikované informatiky. Brno: Masarykova univerzita, 2006, s. 77-82. ISBN 80-210-4146-3.

BOUREK, Aleš, Jiřina ŠKORPÍKOVÁ a Vojtěch MORNSTEIN. Co vlastně chtějí? In Sborník abstrakt XXIII. dnů lékařské biofyziky. 1. vyd. Plzeň: Lékařská fakulta UK v Plzni, 2000, s. 5. ISBN 80-238-5214-0.

MORNSTEIN, Vojtěch, Jiřina ŠKORPÍKOVÁ, Aleš BOUREK a Ivo HRAZDIRA. Lékařská fyzika, biofyzika a informatika. In Sborník abstrakt XXIII. dnů lékařské biofyziky. 1. vyd. Plzeň: Lékařská fakulta UK v Plzni, 2000, s. 42-43. ISBN 80-238-5214-0.

ŽIŽKA, Jan a Aleš BOUREK. Learning and Classifying Medical Text Documents Using the Naive Baye's Algorithm. Brno: FI MUNI / Konvoj, Brno, 1998, 4 s. International Workshop on Text, Speech and Dialog. ISBN 80-210-1899-2.