Victoria Blanes-Vidal

Victoria Blanes-Vidal

Syddansk Universitet

H-index: 26

Europe-Denmark

About Victoria Blanes-Vidal

Victoria Blanes-Vidal, With an exceptional h-index of 26 and a recent h-index of 18 (since 2020), a distinguished researcher at Syddansk Universitet, specializes in the field of Data Science, Health.

His recent articles reflect a diverse array of research interests and contributions to the field:

Epidemiological description and trajectories of patients with prostate cancer in Denmark: an observational study of 7448 patients

Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations

Exposure to multiple environmental stressors, emotional and physical well-being, and self-rated health: An analysis of relationships using latent variable structural equation …

Artificial intelligence outperforms standard blood-based scores in identifying liver fibrosis patients in primary care

Ammonia emissions from agriculture and their contribution to fine particulate matter: A review of implications for human health

Edge artificial intelligence wireless video capsule endoscopy

ARTIFICIAL INTELLIGENCE APPLIED TO ROUTINE DATA OUTPERFORMS STANDARD INDICES IN DETECTING LIVER FIBROSIS IN A LOW PREVALENCE POPULATION

Video-based eye tracking performance for computer-assisted diagnostic support of diabetic neuropathy

Victoria Blanes-Vidal Information

University

Position

Applied AI & Data Science (AID) Unit. The Mærsk Mc-Kinney Møller Institute

Citations(all)

2466

Citations(since 2020)

1151

Cited By

1746

hIndex(all)

26

hIndex(since 2020)

18

i10Index(all)

44

i10Index(since 2020)

35

Email

University Profile Page

Syddansk Universitet

Google Scholar

View Google Scholar Profile

Victoria Blanes-Vidal Skills & Research Interests

Data Science

Health

Top articles of Victoria Blanes-Vidal

Title

Journal

Author(s)

Publication Date

Epidemiological description and trajectories of patients with prostate cancer in Denmark: an observational study of 7448 patients

BMC Research Notes

Victoria Blanes-Vidal

Ashkan Tashk

Manuella Lech Cantuaria

Rasmus Søgaard Hansen

Charlotte A Poulsen

...

2023/11/16

Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations

Smith K Khare

Victoria Blanes-Vidal

Esmaeil S Nadimi

U Rajendra Acharya

2023/9/16

Exposure to multiple environmental stressors, emotional and physical well-being, and self-rated health: An analysis of relationships using latent variable structural equation …

Environmental Research

Manuella Lech Cantuaria

Jørgen Brandt

Victoria Blanes-Vidal

2023/6/15

Artificial intelligence outperforms standard blood-based scores in identifying liver fibrosis patients in primary care

Scientific reports

Victoria Blanes-Vidal

Katrine P Lindvig

Maja Thiele

Esmaeil S Nadimi

Aleksander Krag

2022/2/21

Ammonia emissions from agriculture and their contribution to fine particulate matter: A review of implications for human health

Katie E Wyer

David B Kelleghan

Victoria Blanes-Vidal

Günther Schauberger

Thomas P Curran

2022/12/1

Edge artificial intelligence wireless video capsule endoscopy

Scientific Reports

Ali Sahafi

Yunlong Wang

Charlotte Laurfelt Munch Rasmussen

Peter Bollen

Gunnar Baatrup

...

2022/8/12

ARTIFICIAL INTELLIGENCE APPLIED TO ROUTINE DATA OUTPERFORMS STANDARD INDICES IN DETECTING LIVER FIBROSIS IN A LOW PREVALENCE POPULATION

Hepatology

Victoria Blanes-Vidal

Katrine Prier Lindvig

Maja Thiele

Esmaeil Nadimi

Aleksander Krag

2021/10/1

Video-based eye tracking performance for computer-assisted diagnostic support of diabetic neuropathy

Artificial Intelligence in Medicine

Luis David Avendaño-Valencia

Knud B Yderstræde

Esmaeil S Nadimi

Victoria Blanes-Vidal

2021/3/5

Influence of urban forest on traffic air pollution and children respiratory health

Environmental monitoring and assessment

Lucas de Oliveira e Almeida

André Favaro

William Raimundo-Costa

Ana Carolina Borella Marfil Anhê

Deusmaque Carneiro Ferreira

...

2020/3

Application of deep learning for autonomous detection and localization of colorectal polyps in wireless colon capsule endoscopy

Computers & Electrical Engineering

Esmaeil S Nadimi

Maria M Buijs

Jurgen Herp

Rasmus Kroijer

Morten Kobaek-Larsen

...

2020/1/1

Non-invasive detection of diabetic complications via pattern analysis of temporal facial colour variations

Computer Methods and Programs in Biomedicine

Tomáš Majtner

Esmaeil S Nadimi

Knud B Yderstræde

Victoria Blanes-Vidal

2020/11/1

Facial erythema detects diabetic neuropathy using the fusion of machine learning, random matrix theory and self organized criticality

Scientific Reports

Esmaeil S Nadimi

Tomas Majtner

Knud B Yderstraede

Victoria Blanes-Vidal

2020/10/8

See List of Professors in Victoria Blanes-Vidal University(Syddansk Universitet)