MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models | Paper Citation Record

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models Aho and Jeffrey D

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models Roth, and Daguang Xu

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models Jaeger, Simon A

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models IBISAgent: Reinforcing Pixel-Level Visual Reasoning in MLLMs for Universal Biomedical Object Referring and Segmentation

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models Berg, Wan-Yen Lo, Piotr Dollar, and Ross Girshick

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models Yara Parser: A Fast and Accurate Dependency Parser

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models MedGemma Technical Report

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models MediSee: Reasoning-based Pixel-level Perception in Medical Images

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models Davison, Hui Ren, Jing Huang, Chen Chen, Yuyin Zhou, Sunyang Fu, Wei Liu, Tianming Liu, Xiang Li, Yong Chen, Lifang He, and 4 others

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 66

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models MedAgent-Pro: Towards Evidence-based Multi-modal Medical Diagnosis via Reasoning Agentic Workflow

Reference 67

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Reference 68

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Reference 71

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Reference 72

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Reference 73

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Reference 74

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Reference 75

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Reference 76

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=

Reference 77

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Reference 78

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Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:35:06.882949Z

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Observation 6e5402f1-b292-4f73-aeb6-63de76d1f94b · outbound

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Reference 81

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:35:06.865630Z

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Observation cb5adb2d-68f0-4183-9493-7636d6eb2f45 · outbound

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models International Conference on Medical Image Computing and Computer-Assisted Intervention , pages=

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:35:06.848558Z

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models arXiv preprint arXiv:2510.08668 , year=

Reference 84

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Pith citing papers