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ViBMR: A Large-Scale Multi-Sequence Brain MRI Dataset and Comprehensive Evaluation for Vietnamese Radiology Report Generation

Paper recorded by Signals 4 on 2026-10-21 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-21 on arXiv · recorded by Signals 4 on 2026-10-22

Category: cs.CV · 计算机视觉 · first seen 2026-10-22

Abstract

Automated radiology report generation for multi-sequence brain MRI holds strong promise for alleviating radiologists' workload, yet it remains a demanding problem: brain MRI studies are inherently volumetric, each pulse sequence carries complementary diagnostic information, and annotated data are critically scarce for low-resource clinical languages. Existing brain MRI-report resources are still d

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#205 most recent of 756 cs.CV papers we have recorded · ↑ newer: Asking a Multimodal LLM Whether Someone Fell: Zero-Shot Screening of L · ↓ older: AEON: Unifying Video and 3D World Models
Cite this page: ViBMR: A Large-Scale Multi-Sequence Brain MRI Dataset and Comprehensive Evaluation for Vietnamese Radiology Report Generation: the #205 most recent of 756 cs.CV papers we have recorded (as of 2026-10-21). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/vibmr-a-large-scale-multi-sequence-brain-mri-dataset-and-comprehensive-evaluatio.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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