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T. Jaspers

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Preprint Aug 2026

Representation-driven Endoscopic Visual Embedding Alignment for Latent Generation

REVEAL (Representation-driven Endoscopic Visual Embedding Alignment), the largest generative foundation model for endoscopy to date, trained on GastroNet-5M (GN-5M), a multicenter dataset of 5 million endoscopic frames, delivers performance that is competitive with, and in several cases exceeds, endoscopic foundation m...

Francisco Caetano, T. Jaspers, Haiko Middeljans et al. · 0 citations
Open access Jul 2026

Automatic recognition of anatomical structures and surgical phases in robot-assisted minimally invasive esophagectomy (RAMIE) using deep learning: a retrospective cohort study

This study identified suitable models for computer-aided, real-time anatomy and surgical tool segmentation and surgical phase recognition for the thoracic part of RAMIE and achieved acceptable performance while both datasets are highly complex.

R. V. van Jaarsveld, Yiping Li, Ronald de Jong et al. · 1 citation

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