most citedMedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts

8 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20232 cited

Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning

Mengliang Zhang, Xinyue Hu, Lin Gu +5

Patients undergoing chest X-rays (CXR) often endure multiple lung diseases. When evaluating a patient's condition, due to the complex pathologies, subtle texture changes of differe…

cs.CV20238 cited

MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts

Qiuhui Chen, Xinyue Hu, Zirui Wang +1

Vision-language pre-training (VLP) models have been demonstrated to be effective in many computer vision applications. In this paper, we consider developing a VLP model in the medi…

cs.CV20232 cited

Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning

Xinyue Hu, Lin Gu, Kazuma Kobayashi +6

Medical visual question answering (VQA) aims to answer clinically relevant questions regarding input medical images. This technique has the potential to improve the efficiency of m…

cs.CL2022

RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction

Zhoujin Tian, Chaozhuo Li, Shuo Ren +8

Bilingual lexicon induction induces the word translations by aligning independently trained word embeddings in two languages. Existing approaches generally focus on minimizing the…

cs.CV2022

Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation

Xinyue Hu, Lin Gu, Liangchen Liu +4

Existing video domain adaption (DA) methods need to store all temporal combinations of video frames or pair the source and target videos, which are memory cost expensive and can't…