Diff4MMLiTS: Advanced Multimodal Liver Tumor Segmentation via Diffusion-Based Image Synthesis and Alignment

no code implementations • 29 Dec 2024 • Shiyun Chen, Li Lin, Pujin Cheng, Zhicheng Jin, JianJian Chen, Haidong Zhu, Kenneth K. Y. Wong, Xiaoying Tang

Multimodal learning has been demonstrated to enhance performance across various clinical tasks, owing to the diverse perspectives offered by different modalities of data.

Image Generation Segmentation +1

ASLseg: Adapting SAM in the Loop for Semi-supervised Liver Tumor Segmentation

no code implementations • 13 Dec 2023 • Shiyun Chen, Li Lin, Pujin Cheng, Xiaoying Tang

Recently, Segment Anything Model (SAM) has shown promising performance in some medical image segmentation tasks, but it performs poorly for liver tumor segmentation.

General Knowledge Image Segmentation +4

Contextual Online False Discovery Rate Control

no code implementations • 7 Feb 2019 • Shiyun Chen, Shiva Kasiviswanathan

In this paper, we consider the problem of controlling FDR in an online manner.

Two-sample testing

EmojiIt at SemEval-2018 Task 2: An Effective Attention-Based Recurrent Neural Network Model for Emoji Prediction with Characters Gated Words

no code implementations • SEMEVAL 2018 • Shiyun Chen, Maoquan Wang, Liang He

This paper presents our single model to Subtask 1 of SemEval 2018 Task 2: Emoji Prediction in English.

Task 2

EICA at SemEval-2017 Task 4: A Simple Convolutional Neural Network for Topic-based Sentiment Classification

no code implementations • SEMEVAL 2017 • Maoquan Wang, Shiyun Chen, Yufei Xie, Lu Zhao

This paper describes our approach for SemEval-2017 Task 4 - Sentiment Analysis in Twitter (SAT).

Classification Feature Engineering +5