1 citations · 1 across the 6 of their papers we have counts for
6 papers
Shared Semantic Codebook Distillation for Unpaired Cross-Modal Medical Classification
Dillan Imans, Phuoc-Nguyen Bui, Duc-Tai Le +1
Cross-modal knowledge distillation can transfer diagnostic knowledge from a strong but costly teacher modality to a cheaper and more deployable student modality. In medical image a…
Generalized Recognition of Basic Surgical Actions Enables Skill Assessment and Vision-Language-Model-based Surgical Planning
Mengya Xu, Daiyun Shen, Jie Zhang +19
Artificial intelligence, imaging, and large language models have the potential to transform surgical practice, training, and automation. Understanding and modeling of basic surgica…
Clinical Graph-Mediated Distillation for Unpaired MRI-to-CFI Hypertension Prediction
Dillan Imans, Phuoc-Nguyen Bui, Duc-Tai Le +1
Retinal fundus imaging enables low-cost and scalable hypertension (HTN) screening, but HTN-related retinal cues are subtle, yielding high-variance predictions. Brain MRI provides s…
Unsupervised Domain Adaptation with SAM-RefiSeR for Enhanced Brain Tumor Segmentation
Dillan Imans, Phuoc-Nguyen Bui, Duc-Tai Le +1
Unsupervised Domain Adaptation with SAM-RefiSeR for Enhanced Brain Tumor Segmentation
Cosmos-H-Surgical: Learning Surgical Robot Policies from Videos via World Modeling
Yufan He, Pengfei Guo, Mengya Xu +11
Data scarcity remains a fundamental barrier to achieving fully autonomous surgical robots. While large scale vision language action (VLA) models have shown impressive generalizatio…
SAP-Bench: Benchmarking Multimodal Large Language Models in Surgical Action Planning
Mengya Xu, Zhongzhen Huang, Dillan Imans +3
Effective evaluation is critical for driving advancements in MLLM research. The surgical action planning (SAP) task, which aims to generate future action sequences from visual inpu…