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Rui Henriques

Showing results (21-30 of 35) with videos related to

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Cancers|July 2, 2021
Predicting Postoperative Complications in Cancer Patients: A Survey Bridging Classical and Machine Learning Contributions to Postsurgical Risk AnalysisDaniel M Gonçalves, Rui Henriques, Rafael S Costa
Computational and Structural Biotechnology Journal|October 25, 2023
Predicting metabolic fluxes from omics data via machine learning: Moving from knowledge-driven towards data-driven approachesDaniel M Gonçalves, Rui Henriques, Rafael S Costa
BMC Medical Informatics and Decision Making|June 29, 2021
On the predictability of postoperative complications for cancer patients: a Portuguese cohort studyDaniel Gonçalves, Rui Henriques, Lúcio Lara Santos, et al.
IEEE Journal of Biomedical and Health Informatics|March 9, 2021
Mining Pre-Surgical Patterns Able to Discriminate Post-Surgical Outcomes in the Oncological DomainLeonardo Alexandre, Rafael S Costa, Lucio Lara Santos, et al.
BMC Bioinformatics|December 5, 2023
G-bic: generating synthetic benchmarks for biclusteringEduardo N Castanho, João P Lobo, Rui Henriques, et al.
BMC Bioinformatics|January 11, 2024
Correction: G-bic: generating synthetic benchmarks for biclusteringEduardo N Castanho, João P Lobo, Rui Henriques, et al.
Sensors (Basel, Switzerland)|March 30, 2023
Movement Prototypes in a Complex Teamgym Gymnastics Technique on the Vaulting Table and Their Relationship with Judges' ScoresJoana Barreto, Rui Henriques, Sílvia Cabral, et al.
Scientific Reports|April 15, 2023
Triclustering-based classification of longitudinal data for prognostic prediction: targeting relevant clinical endpoints in amyotrophic lateral sclerosisDiogo F Soares, Rui Henriques, Marta Gromicho, et al.
Knee Surgery, Sports Traumatology, Arthroscopy : Official Journal of the ESSKA|December 17, 2025
Reasoning-optimised large language models reach near-expert accuracy on board-style orthopaedic exams: A multi-model comparison on 702 multiple-choice questionsPedro Diniz, Takuji Yokoe, Felix C Öttl, et al.
Journal of Biomedical Informatics|September 2, 2022
Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral SclerosisDiogo F Soares, Rui Henriques, Marta Gromicho, et al.
Pageof 4

Showing results (21-30 of 35) with videos related to

Sort By:
Pageof 4
Cancers|July 2, 2021
Predicting Postoperative Complications in Cancer Patients: A Survey Bridging Classical and Machine Learning Contributions to Postsurgical Risk AnalysisDaniel M Gonçalves, Rui Henriques, Rafael S Costa
Computational and Structural Biotechnology Journal|October 25, 2023
Predicting metabolic fluxes from omics data via machine learning: Moving from knowledge-driven towards data-driven approachesDaniel M Gonçalves, Rui Henriques, Rafael S Costa
BMC Medical Informatics and Decision Making|June 29, 2021
On the predictability of postoperative complications for cancer patients: a Portuguese cohort studyDaniel Gonçalves, Rui Henriques, Lúcio Lara Santos, et al.
IEEE Journal of Biomedical and Health Informatics|March 9, 2021
Mining Pre-Surgical Patterns Able to Discriminate Post-Surgical Outcomes in the Oncological DomainLeonardo Alexandre, Rafael S Costa, Lucio Lara Santos, et al.
BMC Bioinformatics|December 5, 2023
G-bic: generating synthetic benchmarks for biclusteringEduardo N Castanho, João P Lobo, Rui Henriques, et al.
BMC Bioinformatics|January 11, 2024
Correction: G-bic: generating synthetic benchmarks for biclusteringEduardo N Castanho, João P Lobo, Rui Henriques, et al.
Sensors (Basel, Switzerland)|March 30, 2023
Movement Prototypes in a Complex Teamgym Gymnastics Technique on the Vaulting Table and Their Relationship with Judges' ScoresJoana Barreto, Rui Henriques, Sílvia Cabral, et al.
Scientific Reports|April 15, 2023
Triclustering-based classification of longitudinal data for prognostic prediction: targeting relevant clinical endpoints in amyotrophic lateral sclerosisDiogo F Soares, Rui Henriques, Marta Gromicho, et al.
Knee Surgery, Sports Traumatology, Arthroscopy : Official Journal of the ESSKA|December 17, 2025
Reasoning-optimised large language models reach near-expert accuracy on board-style orthopaedic exams: A multi-model comparison on 702 multiple-choice questionsPedro Diniz, Takuji Yokoe, Felix C Öttl, et al.
Journal of Biomedical Informatics|September 2, 2022
Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral SclerosisDiogo F Soares, Rui Henriques, Marta Gromicho, et al.
Pageof 4