Design of a Convolutional Neural Network as a Deep Learning Tool for the Automatic Classification of Small-Bowel Cleansing in Capsule Endoscopy
2023 · Medicina · 11 citations
https://doi.org/10.3390/medicina59040810
F
Francisco Mendes
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Francisco Mendes is an academic researcher from Universidade do Porto. The author has contributed to research in topics: Gastrointestinal Bleeding Diagnosis and Treatment & Colorectal Cancer Screening and Detection & Radiomics and Machine Learning in Medical Imaging. The author has an h-index of 11, co-authored 78 publications.
ORCID: 0000-0002-5890-7049Papers by this author
worksAI-Driven Colon Cleansing Evaluation in Capsule Endoscopy: A Deep Learning Approach
2023 · Diagnostics · 11 citations
https://doi.org/10.3390/diagnostics13233494
ARTIFICIAL INTELLIGENCE FOR AUTOMATIC DIAGNOSIS AND PLEOMORPHIC MORPHOLOGIC CHARACTERIZATION OF MALIGNANT BILIARY STRICTURES USING DIGITAL CHOLANGIOSCOPY: A MULTICENTRIC TRANSATLANTIC STUDY
2024 · Gastrointestinal Endoscopy · 1 citations
https://doi.org/10.1016/j.gie.2024.04.671
Tu2000 DEEP LEARNING AND MINIMALLY INVASIVE ENDOSCOPY – PANENDOSCOPIC DETECTION OF PLEOMORPHIC LESIONS
2024 · Gastroenterology · 0 citations
https://doi.org/10.1016/s0016-5085(24)03857-5
Artificial intelligence as a transforming factor in motility disorders–automatic detection of motility patterns in high-resolution anorectal manometry
2025 · Scientific Reports · 0 citations
https://doi.org/10.1038/s41598-024-83768-8
S3275 AI-Driven Endoscopic Ultrasound – A Case Series of Applications in Multiple Clinical Settings
2025 · The American Journal of Gastroenterology · 0 citations
https://doi.org/10.14309/01.ajg.0001140560.38044.6b
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