359 citations · 393 across the 16 of their papers we have counts for
4 papers · 1 filter
AraMS-28k: The Largest Publicly Released Line-Level Dataset of Historical Arabic Manuscripts with Margin and Insertion-Anchor Annotations
Mohamed Guechaoui, Mohamed Diaa Zellagui, Souleyman Chaib +1
We introduce AraMS-28k, the largest publicly released line-level dataset of genuine historical Arabic manuscripts, comprising 14 books, 3,043 pages, and 28,600 annotated text lines…
RefLAM: A Reference-Grounded Line Annotation Pipeline for Historical Arabic Manuscripts
Mohamed Guechaoui, Mohamed Diaa Zellagui, Souleyman Chaib +1
Existing approaches to building line-level Arabic handwritten-text-recognition (HTR) training data either rely on fully manual annotation, which does not scale, or on automatic OCR…
Auditing Medical Vision-Language Models on Chest Radiographs: Estimating Reference Agreement Across Institutions
Pengyang Yu, Yiou Wang, Zhongping Dong +3
Vision-language models return structured chest-radiograph findings through interfaces exposing no confidence score, so a receiving institution cannot read off how far to trust an i…
MedLiteNet: Lightweight Hybrid Medical Image Segmentation Model
Pengyang Yu, Haoquan Wang, Gerard Marks +4
Accurate skin-lesion segmentation remains a key technical challenge for computer-aided diagnosis of skin cancer. Convolutional neural networks, while effective, are constrained by…