Xiang Wan

USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video Contrastive Representation Learning

2020 · arXiv (Cornell University)

Most deep neural networks (DNNs) based ultrasound (US) medical image analysis models use pretrained backbones (e.g., ImageNet) for better model generalization. However, the domain gap between natural and medical images causes an inevitable performance bottleneck. …

Design of plasmonic enhanced all-optical phase-change memory for secondary storage applications

2022 · Nanotechnology

Phase-change optical device has recently gained tremendous interest due to its ultra-fast transmitting speed, multiplexing and large bandwidth. However, majority of phase-change optical devices are only devoted to on-chip components such as optical tensor core …

Improving Radiology Summarization with Radiograph and Anatomy Prompts

2022 · arXiv (Cornell University)

The impression is crucial for the referring physicians to grasp key information since it is concluded from the findings and reasoning of radiologists. To alleviate the workload of radiologists and reduce repetitive human labor in …

Improving Grammatical Error Correction with Multimodal Feature Integration

2023

Grammatical error correction (GEC) is a promising task aimed at correcting errors in a text. Many methods have been proposed to facilitate this task with remarkable results. However, most of them only focus on enhancing …

Structure Embedded Nucleus Classification for Histopathology Images

2024 · IEEE Transactions on Medical Imaging

Nuclei classification provides valuable information for histopathology image analysis. However, the large variations in the appearance of different nuclei types cause difficulties in identifying nuclei. Most neural network based methods are affected by the local …

CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis

2025

The field of AI healthcare has undergone a significant transformation with the advent of large language models (LLMs), yet the challenge of interpretability in these models remain largely unaddressed.This study introduces Chain-of-Diagnosis (CoD) to enhance …