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20242026
most citedDomain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

LUX: A Lesion-Aware Graph-Conditioned Visual - Language Architecture for Explainable Endoscopic Captioning

Alexis Ivan Escamilla-Lopez, Gilberto Ochoa-Ruiz, Salvador Hinojosa +1

The interpretation of endoscopic imagery in ulcerative colitis is complex and subjective, with variability in human assessment and subtle mucosal inflammation. Although deep learni…

cs.CV2026

A comprehensive multimodal dataset and benchmark for ulcerative colitis scoring in endoscopy

Noha Ghatwary, Jiangbei Yue, Ahmed Elgendy +8

Ulcerative colitis (UC) is a chronic mucosal inflammatory condition that places patients at increased risk of colorectal cancer. Colonoscopic surveillance remains the gold standard…

cs.CV2025

RobustSurg: Tackling domain generalisation for out-of-distribution surgical scene segmentation

Mansoor Ali, Maksim Richards, Gilberto Ochoa-Ruiz +1

While recent advances in deep learning for surgical scene segmentation have demonstrated promising results on single-centre and single-imaging modality data, these methods usually…

cs.CV2024

Tackling domain generalization for out-of-distribution endoscopic imaging

Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali

While recent advances in deep learning (DL) for surgical scene segmentation have yielded promising results on single-center and single-imaging modality data, these methods usually…

cs.CV2024★ 2 cited

Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency

Mansoor Ali Teevno, Rafael Martinez-Garcia-Pena, Gilberto Ochoa-Ruiz +1

Frequent monitoring is necessary to stratify individuals based on their likelihood of developing gastrointestinal (GI) cancer precursors. In clinical practice, white-light imaging…