João Figueira Silva

Subject	Multimodal Content Fusion For Modelling Patient Trajectories
Advisor	Sérgio Matos
Group	Biomedical Informatics and Technologies
Status	PhD student
Starts	2017/10/01
Ends	2022/06/30
Country	Portugal
Projects
Past projects
Events	ImageCLEF'2017
Proposals
Personal page	https://orcid.org/0000-0001-5535-754X

Publications

Articles in international journals listed in the ISI

• João Almeida, João Figueira Silva, Sérgio Matos, José Luís Oliveira. A two-stage workflow to extract and harmonize drug mentions from clinical notes into observational databases. Journal of Biomedical Informatics, vol. 120, p. 103849, August 2021 [IF 2018: 2.950 (Q2, 33/106)]
• João Figueira Silva, João Almeida, Sérgio Matos. Extraction of Family History Information From Clinical Notes: Deep Learning and Heuristics Approach. JMIR Medical Informatics, vol. 8, no. 12, December 2020 [IF 2020: 2.955 (Q3, 17/30)]
• Micael Pedrosa, Jorge Miguel Silva, João Figueira Silva, Sérgio Matos, Carlos Costa. SCREEN-DR: Collaborative platform for diabetic retinopathy. International Journal of Medical Informatics, vol. 120, p. 137-146, December 2018 [IF 2018: 2.731 (Q2, 57/155)]
• Jorge Miguel Silva, Eduardo Pinho, Eriksson Monteiro, João Figueira Silva, Carlos Costa. Controlled searching in reversibly de-identified medical imaging archives. Journal of Biomedical Informatics, vol. 77, p. 81 - 90, January 2018 [IF 2018: 2.950 (Q2, 33/106)]
• Carlos Viana Ferreira, António Guerra, João Figueira Silva, Sérgio Matos, Carlos Costa. An Intelligent Cloud Storage Gateway for Medical Imaging. Journal of Medical Systems, vol. 41, no. 9, p. 141, September 2017 [IF 2017: 2.098 (Q2, 46/94)] [IF 2018: 2.415 (Q2, 12/26)]

Chapters in books

• João Almeida, João Figueira Silva, Alejandro Pazos, Sérgio Matos, José Luís Oliveira. Leveraging Clinical Notes for Enhancing Decision-Making Systems with Relevant Patient Information. Biomedical Engineering Systems and Technologies, Xuesong Ye, Filipe Soares, Elisabetta De Maria, Pedro Gómez Vilda, Federico Cabitza, Ana Fred, Hugo Gamboa (Ed.), Springer International Publishing, vol. 1400, p. 521-540, March 2021

Articles in conference proceedings

• Tiago Almeida, Rui Antunes, João Figueira Silva, João Almeida, Sérgio Matos. Chemical detection and indexing in PubMed full text articles using deep learning and rule-based methods. Proceedings of the BioCreative VII Challenge Evaluation Workshop, Online event, p. 119-123, November 2021
• Rui Antunes, Tiago Almeida, João Figueira Silva, Sérgio Matos. Chemical–protein relation extraction in PubMed abstracts using BERT and neural networks. Proceedings of the BioCreative VII Challenge Evaluation Workshop, Online event, p. 76-79, November 2021
• João Figueira Silva, Tiago Almeida, Rui Antunes, João Almeida, Sérgio Matos. Drug mention recognition in Twitter posts using a deep learning approach. Proceedings of the BioCreative VII Challenge Evaluation Workshop, Online event, p. 210-213, November 2021
• João Figueira Silva, Sérgio Matos. Patient Trajectory Modelling in Longitudinal Data: A Review on Existing Solutions. The 2021 34th IEEE International Symposium on Computer-based Medical Systems (CBMS), Aveiro, Portugal, June 2021
• João Almeida, João Figueira Silva, Sérgio Matos, José Luís Oliveira. A Recommender System to Help Refining Clinical Research Studies. 31st Medical Informatics Europe conference, Studies in health technology and informatics, May 2021
• João Figueira Silva, Rui Antunes, João Almeida, Sérgio Matos. Clinical concept normalization on medical records using word embeddings and heuristics. 30th Medical Informatics Europe conference, MIE 2020, Studies in health technology and informatics, vol. 270, p. 93-97, April 2020
• Rui Antunes, João Figueira Silva, Sérgio Matos. Evaluating semantic textual similarity in clinical sentences using deep learning and sentence embeddings. The 35th ACM/SIGAPP Symposium On Applied Computing, Online event, March 2020
• João Almeida, João Figueira Silva, Alejandro Sierra, Sérgio Matos, José Luís Oliveira. Enhancing Decision-making Systems with Relevant Patient Information by Leveraging Clinical Notes. Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, vol. 5, p. 254-262, February 2020
• Eduardo Pinho, João Figueira Silva, Carlos Costa. Volumetric feature learning for query-by-example in medical imaging archives. 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems, p. 138-143, June 2019
• Rui Antunes, João Figueira Silva, Arnaldo Pereira, Sérgio Matos. Rule-based and machine learning hybrid system for patient cohort selection. Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, Prague, Czech Republic, p. 59-67, February 2019
• Jorge Miguel Silva, António Guerra, João Figueira Silva, Carlos Costa, Sérgio Matos. A Novel 3D-CNN Approach For Ejection Fraction Classification in Transthoracic Echocardiography. International Journal of Computer Assisted Radiology and Surgery, Berlin, Germany, vol. 13 (Supp1), p. S131--S132, June 2018
• João Figueira Silva, Jorge Miguel Silva, António Guerra, Sérgio Matos, Carlos Costa. Ejection Fraction Classification in Transthoracic Echocardiography Using a Deep Learning Approach. 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS), Karlstad, Sweden, p. 123-128, June 2018
• Jorge Miguel Silva, António Guerra, João Figueira Silva, Eduardo Pinho, Carlos Costa. Face De-Identification Service for Neuroimaging Volumes. 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS), Karlstad, Sweden, p. 141-145, June 2018
• João Figueira Silva, Jorge Miguel Silva, Eduardo Pinho, Carlos Costa. 3D-CNN in drug resistance detection and tuberculosis classification. CLEF2017 Working Notes., CEUR Workshop Proceedings, Dublin, Ireland, CEUR-WS., September 2017
• Eduardo Pinho, João Figueira Silva, Jorge Miguel Silva, Carlos Costa. Towards representation learning for biomedical concept detection in medical images: UA.PT bioinformatics in ImageCLEF 2017. CLEF2017 Working Notes, CEUR Workshop Proceedings, Dublin, Ireland, CEUR-WS, September 2017