Francisco Silva

653 citations

32 papers · 421 indexed · h-index 13

Co-authors: Tânia Pereira Hélder P. Oliveira A. Cunha Cláudia Freitas Joana Morgado José Luís Costa Venceslau Hespanhol Ulrich Specks
Topics: Radiomics and Machine Learning in Medical Imaging (20 papers)Lung Cancer Diagnosis and Treatment (15 papers)AI in cancer detection (13 papers)
Cited by: Health Informatics Radiology, Nuclear Medicine and Imaging Pulmonary and Respiratory Medicine
Journals: SHILAP Revista de lepidopterologíaJournal of the American College of Cardiology Scientific Reports
Partner nations: Portugal United States Chile

In The Last Decade

Francisco Silva

30 papers receiving 411 citations

Peers

Countries citing papers authored by Francisco Silva

Since Specialization

Citations

This map shows the geographic impact of Francisco Silva's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Francisco Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco Silva more than expected).

Fields of papers citing papers by Francisco Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francisco Silva. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Francisco Silva. The network helps show where Francisco Silva may publish in the future.

Co-authorship network of co-authors of Francisco Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Silva. A scholar is included among the top collaborators of Francisco Silva based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francisco Silva. Francisco Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A review of machine learning methods for cancer characterization from microbiome data 2024 ·npj Precision Oncology ·Marco Teixeira,Francisco Silva,Rui M. Ferreira,Tânia Pereira,Céu Figueiredo,Hélder P. Oliveira	19
2	Causal representation learning through higher-level information extraction 2024 ·ACM Computing Surveys ·Francisco Silva,Hélder P. Oliveira,Tânia Pereira	1
3	Single Modality vs. Multimodality: What Works Best for Lung Cancer Screening? 2023 ·Sensors ·(unknown),Pedro Verga Matos,Francisco Silva,(unknown),Hélder P. Oliveira,Tânia Pereira	9
4	Machine learning-based approaches for cancer prediction using microbiome data 2023 ·Scientific Reports ·(unknown),Francisco Silva,(unknown),Rui M. Ferreira,Céu Figueiredo,Tânia Pereira,Hélder P. Oliveira	19
5	Learning Models for Bone Marrow Edema Detection in Magnetic Resonance Imaging 2023 ·Applied Sciences ·(unknown),Tânia Pereira,Francisco Silva,(unknown),(unknown),(unknown),Hélder P. Oliveira	0
6	Lung CT image synthesis using GANs 2022 ·Expert Systems with Applications ·(unknown),Tânia Pereira,Francisco Silva,(unknown),Joana Morgado,Cláudia Freitas,(unknown),(unknown),(unknown),António J. Madureira,Isabel Ramos,José Luís Costa,Venceslau Hespanhol,A. Cunha,Hélder P. Oliveira	26
7	Towards Machine Learning-Aided Lung Cancer Clinical Routines: Approaches and Open Challenges 2022 ·Journal of Personalized Medicine ·Francisco Silva,Tânia Pereira,(unknown),Joana Morgado,Cláudia Freitas,(unknown),(unknown),João Fonseca,(unknown),(unknown),(unknown),António J. Madureira,Isabel Ramos,José Luís Costa,Venceslau Hespanhol,A. Cunha,Hélder P. Oliveira	32
8	Semi-Supervised Approach for EGFR Mutation Prediction on CT Images 2022 ·Mathematics ·(unknown),Francisco Silva,Tânia Pereira,Hélder P. Oliveira	2
9	Lung Segmentation in CT Images: A Residual U-Net Approach on a Cross-Cohort Dataset 2022 ·Applied Sciences ·(unknown),Tânia Pereira,Francisco Silva,(unknown),(unknown),A. Cunha,Hélder P. Oliveira	24
10	Multiple instance learning for lung pathophysiological findings detection using CT scans 2022 ·Medical & Biological Engineering & Computing ·(unknown),Tânia Pereira,Joana Morgado,Francisco Silva,Cláudia Freitas,(unknown),(unknown),(unknown),(unknown),António J. Madureira,Isabel Ramos,José Luís Costa,Venceslau Hespanhol,A. Cunha,Hélder P. Oliveira	6
11	A Random Forest-based Classifier for MYCN Status Prediction in Neuroblastoma using CT Images 2022 ·2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) ·Tânia Pereira,Francisco Silva,Pedro Ivo Cunha Claro,(unknown),(unknown),(unknown),Hélder P. Oliveira	1
12	Repeatability of ventilatory, metabolic and biomechanical responses to an intermittent incremental swimming protocol 2022 ·Physiological Measurement ·(unknown),D. Carvalho,(unknown),Francisco Silva,João Paulo Vilas‐Boas,Cosme Franklim Buzzachera,Ricardo J. Fernandes	7
13	Sharing Biomedical Data: Strengthening AI Development in Healthcare 2021 ·Healthcare ·Tânia Pereira,Joana Morgado,Francisco Silva,Michele M. Pelter,(unknown),(unknown),Cláudia Freitas,(unknown),(unknown),(unknown),António J. Madureira,Isabel Ramos,Venceslau Hespanhol,José Luís Costa,A. Cunha,Hélder P. Oliveira	31
14	Machine Learning and Feature Selection Methods for EGFR Mutation Status Prediction in Lung Cancer 2021 ·Applied Sciences ·Joana Morgado,Tânia Pereira,Francisco Silva,Cláudia Freitas,(unknown),(unknown),(unknown),António J. Madureira,Isabel Ramos,Venceslau Hespanhol,José Luís Costa,A. Cunha,Hélder P. Oliveira	27
15	Genomic characterization of the non-O1/non-O139 Vibrio cholerae strain that caused a gastroenteritis outbreak in Santiago, Chile, 2018 2020 ·Microbial Genomics ·(unknown),Juliana Velasco,(unknown),Maricel Vidal,Carolina Arellano,Francisco Silva,Leandro J. Carreño,Roberto Vidal,David A. Montero	22
16	Comprehensive Perspective for Lung Cancer Characterisation Based on AI Solutions Using CT Images 2020 ·Journal of Clinical Medicine ·Tânia Pereira,Cláudia Freitas,José Luís Costa,Joana Morgado,Francisco Silva,(unknown),(unknown),(unknown),António J. Madureira,Isabel Ramos,Venceslau Hespanhol,A. Cunha,Hélder P. Oliveira	18
17	Complejo Enterobacter cloacae 2018 ·Revista chilena de infectología ·Francisco Silva,(unknown)	2
18	Diffuse Alveolar Hemorrhage Due to Malignant Arterial Hypertension – an Unusual Manifestation of a Common Disease 2016 ·SHILAP Revista de lepidopterología ·(unknown),Francisco Silva,(unknown),Luís Curvo‐Semedo,Filipe Caseiro‐Alves	3
19	LEFT ATRIAL STRUCTURAL REMODELING ON LGE MRI CORRELATES WITH HISTOLOGY 2012 ·Journal of the American College of Cardiology ·Christopher McGann,Francisco Silva,Amit Patel,P. Revelo,Nathan Burgon,(unknown),Eugene Kholmovski,Nassir Marrouche	3
20	Successful Pregnancy and Delivery of a Healthy Newborn Despite Transplacental Transfer of Antimyeloperoxidase Antibodies From a Mother With Microscopic Polyangiitis 2009 ·American Journal of Kidney Diseases ·Francisco Silva,Ulrich Specks,Sanjeev Sethi,María V. Irazabal,Fernando C. Fervenza	39

About Francisco Silva

Francisco Silva is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 421 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (20 papers), Lung Cancer Diagnosis and Treatment (15 papers) and AI in cancer detection (13 papers). The work is most often cited by research in Health Informatics (26 citations), Radiology, Nuclear Medicine and Imaging (176 citations) and Pulmonary and Respiratory Medicine (190 citations). Francisco Silva has collaborated with scholars based in Portugal, United States and Chile. Frequent co-authors include Tânia Pereira, Hélder P. Oliveira, A. Cunha, Cláudia Freitas, Joana Morgado, José Luís Costa, Venceslau Hespanhol, Ulrich Specks, Isabel Ramos and António J. Madureira. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Scientific Reports.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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