most citedMicarVLMoE: A Modern Gated Cross-Aligned Vision-Language Mixture of Experts Model for Medical Image Captioning and Report Generation

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cs.CV2025

MedSeqFT: Sequential Fine-tuning Foundation Models for 3D Medical Image Segmentation

Yiwen Ye, Yicheng Wu, Xiangde Luo +5

Foundation models have become a promising paradigm for advancing medical image analysis, particularly for segmentation tasks where downstream applications often emerge sequentially…

cs.CV2025★ 1 cited

MicarVLMoE: A Modern Gated Cross-Aligned Vision-Language Mixture of Experts Model for Medical Image Captioning and Report Generation

Amaan Izhar, Nurul Japar, Norisma Idris +1

Medical image reporting (MIR) aims to generate structured clinical descriptions from radiological images. Existing methods struggle with fine-grained feature extraction, multimodal…