Miguel Martins — Papers on Cortexa

openalexScientific Reports2026-07-23

Deep learning-based classification of benign anorectal lesions on endoanal ultrasound: a proof-of-concept study

Maria João Almeida, Miguel Mascarenhas, Miguel Martins, F Mendes, Joana Mota, Pedro Cardoso, et al.

Benign anorectal conditions—including fissures, lacerations, and fistulas—are common and often require precise imaging for adequate diagnosis and surgical planning. Endoanal ultrasonography (EAUS) offers excellent visualization of the sphincter complex but remains underused due t…

View free PDFSource page

crossrefMedicina2023-04-21Cited by 11

Design of a Convolutional Neural Network as a Deep Learning Tool for the Automatic Classification of Small-Bowel Cleansing in Capsule Endoscopy

Tiago Ribeiro, Miguel José Mascarenhas Saraiva, João Afonso, Pedro Cardoso, Francisco Mendes, Miguel Martins, et al.

Background and objectives: Capsule endoscopy (CE) is a non-invasive method to inspect the small bowel that, like other enteroscopy methods, requires adequate small-bowel cleansing to obtain conclusive results. Artificial intelligence (AI) algorithms have been seen to offer import…

View free PDFSource page