doc. Mgr. Bc. Vít Nováček, PhD

2024

• Machine learning estimated probability of relapse in early-stage non-small-cell lung cancer patients with aneuploidy imputation scores and knowledge graph embeddings

  BUOSI Samuele TIMILSINA Mohan JANIK Adriann COSTABELLO Luca TORRENTE Maria PROVENCIO Mariano FEY Dirk NOVÁČEK Vít

  Article in Periodical

  Expert Systems with Applications, year: 2024, volume: 2024, edition: 235, DOI

2023

• Curing Cancer with Knowledge Graphs (and other Outrageous Ideas)

  NOVACEK Vít

  Year: 2023, type:

• Extraction, labeling, clustering, and semantic mapping of segments from clinical notes

  ZELINA Petr HALÁMKOVÁ Jana NOVÁČEK Vít

  Article in Periodical

  IEEE TRANSACTIONS ON NANOBIOSCIENCE, year: 2023, volume: 22, edition: 4, DOI

• Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient

  TIMILSINA Mohan BUOSI Samuele JANIK Adrianna MINERVINI Pasquale COSTABELLO Luca TORRENTE Maria PROVENCIO Mariano CALVO Virginia CAMPS Carlos ORTEGA Ana L MASSUTI Bartomeu CAMPELO Rosario Garcia M. EDEL del Barco BOSCH-BARRERA Joaquim NOVÁČEK Vít

  Article in Proceedings

  2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN, year: 2023

• Machine Learning–Assisted Recurrence Prediction for Patients With Early-Stage Non–Small-Cell Lung Cancer

  JANIK Adrianna TORRENTE Maria COSTABELLO Luca CALVO Virginia WALSH Brian CAMPS Carlos MOHAMED Sameh K ORTEGA Ana L NOVÁČEK Vít MASSUTÍ Bartomeu MINERVINI Pasquale GARCIA CAMPELO M Rosario BARCO Edel del BOSCH-BARRERA Joaquim MENASALVAS Ernestina TIMILSINA Mohan PROVENCIO Mariano

  Article in Periodical

  JCO CLINICAL CANCER INFORMATICS, year: 2023, volume: 7, edition: e2200062, DOI

• Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer

  TIMILSINA Mohan FEY Dirk BUOSI Samuele JANIK Adrianna COSTABELLO Luca CARCERENY Enric ABREU Delvys Rodriguez COBO Manuel CASTRO Rafael López BERNABÉ Reyes MINERVINI Pasquale TORRENTE Maria PROVENCIO Mariano NOVÁČEK Vít

  Article in Periodical

  Journal for Biomedical Informatics, year: 2023, volume: 144, edition: 104424, DOI

• Unsupervised extraction, classification and visualization of clinical note segments using the MIMIC-III dataset

  ZELINA Petr HALÁMKOVÁ Jana NOVÁČEK Vít

  Article in Proceedings

  Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), year: 2023

2022

• AI for Cancer Patient Empowerment - Interim Results of the AIcope Project

  NOVACEK Vít ŘEHÁČEK Marko ZELINA Petr HALÁMKOVÁ Jana

  Year: 2022, type:

• An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients: Results from the Clarify Study

  TORRENTE María SOUSA Pedro A HERNÁNDEZ Roberto BLANCO Mariola COLLAZO Virginia Calvo Ana GUERREIRO Gracinda R NÚNEZ Beatriz PIMENTAO Joao SÁNCHEZ Juan Cristóbal CAMPOS Manuel COSTABELLO Luca NOVÁČEK Vít MENASALVAS Ernestina VIDAL María Esther PROVENCIO Mariano CALVO Virginia

  Article in Periodical

  CANCERS, year: 2022, volume: 14, edition: 16, DOI

• Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding

  TIMILSINA Mohan NOVÁČEK Vít DAQUIN Mathieu YANG Haixuan

  Article in Periodical

  NEURAL NETWORKS, year: 2022, volume: 156, edition: 1, DOI