Search Results for author: Lanfen Lin

Found 23 papers, 9 papers with code

Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble

no code implementations14 Apr 2023 Jiahua Dong, Guohua Cheng, Yue Zhang, Chengtao Peng, Yu Song, Ruofeng Tong, Lanfen Lin, Yen-Wei Chen

Multi-organ segmentation, which identifies and separates different organs in medical images, is a fundamental task in medical image analysis.

Organ Segmentation

SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation

no code implementations CVPR 2023 Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Hong Wang, Yawen Huang, Yefeng Zheng

Semi-supervised learning improves data efficiency of deep models by leveraging unlabeled samples to alleviate the reliance on a large set of labeled samples.

Semantic Segmentation

Super-Resolution Based Patch-Free 3D Image Segmentation with High-Frequency Guidance

no code implementations26 Oct 2022 Hongyi Wang, Lanfen Lin, Hongjie Hu, Qingqing Chen, Yinhao Li, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong

The framework contains two sub-tasks, of which semantic segmentation is the main task and super resolution is an auxiliary task aiding in rebuilding the high frequency information from the LR input.

Computed Tomography (CT) Image Segmentation +3

Label-Efficient Domain Generalization via Collaborative Exploration and Generalization

no code implementations7 Aug 2022 Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin

To escape from the dilemma between domain generalization and annotation costs, in this paper, we introduce a novel task named label-efficient domain generalization (LEDG) to enable model generalization with label-limited source domains.

Domain Generalization

ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation

1 code implementation29 Jul 2022 Huimin Huang, Shiao Xie1, Lanfen Lin, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong

(2) A simple and effective spatial-aware inter-scale transformer is designed to interact among consensual regions in multiple scales, which can highlight the cross-scale dependency and resolve the complex scale variations.

Image Segmentation Medical Image Segmentation +2

CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation

1 code implementation28 Jul 2022 Hao Sun, Hongyi Wang, Jiaqing Liu, Yen-Wei Chen, Lanfen Lin

Multimodal sentiment analysis and depression estimation are two important research topics that aim to predict human mental states using multimodal data.

Multimodal Sentiment Analysis

Efficient and Accurate Hyperspectral Pansharpening Using 3D VolumeNet and 2.5D Texture Transfer

no code implementations8 Mar 2022 Yinao Li, Yutaro Iwamoto, Ryousuke Nakamura, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen

Different from the texture transfer processing of RGB image, we use HR PAN images as the reference images and perform texture transfer for each frequency band of MS images, which is named 2. 5D texture transfer.

Image Reconstruction Pansharpening

Attention-based Cross-Layer Domain Alignment for Unsupervised Domain Adaptation

no code implementations27 Feb 2022 Xu Ma, Junkun Yuan, Yen-Wei Chen, Ruofeng Tong, Lanfen Lin

To further boost model adaptation performance, we propose a novel method called Attention-based Cross-layer Domain Alignment (ACDA), which captures the semantic relationship between the source and target domains across model layers and calibrates each level of semantic information automatically through a dynamic attention mechanism.

Semantic Similarity Semantic Textual Similarity +1

Mixed Transformer U-Net For Medical Image Segmentation

1 code implementation8 Nov 2021 Hongyi Wang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong

Therefore, Vision Transformers have emerged as alternative segmentation structures recently, for their innate ability of capturing long-range correlations through Self-Attention (SA).

Image Segmentation Medical Image Segmentation +1

Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization

1 code implementation13 Oct 2021 Junkun Yuan, Xu Ma, Defang Chen, Fei Wu, Lanfen Lin, Kun Kuang

Domain generalization (DG) aims to learn from multiple known source domains a model that can generalize well to unknown target domains.

Domain Generalization

Instrumental Variable-Driven Domain Generalization with Unobserved Confounders

no code implementations4 Oct 2021 Junkun Yuan, Xu Ma, Ruoxuan Xiong, Mingming Gong, Xiangyu Liu, Fei Wu, Lanfen Lin, Kun Kuang

Meanwhile, the existing of unobserved confounders which affect the input features and labels simultaneously cause spurious correlation and hinder the learning of the invariant relationship contained in the conditional distribution.

Domain Generalization

Domain-Specific Bias Filtering for Single Labeled Domain Generalization

1 code implementation2 Oct 2021 Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin

In this paper, we investigate a Single Labeled Domain Generalization (SLDG) task with only one source domain being labeled, which is more practical and challenging than the CDG task.

Domain Generalization

Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition

1 code implementation13 Jul 2021 Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin

We also learn confounder representations by encouraging them to be relevant to both the treatment and the outcome.

Causal Inference

Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small-Cell Lung Cancer

1 code implementation29 Apr 2021 Panyanat Aonpong, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Yen-Wei Chen

The experiments demonstrated that the prediction accuracy can be improved significantly from 78. 61% (existing radiomics method) and 79. 14% (deep learning method) to 83. 28% by the proposed GGR.

PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images

no code implementations27 Feb 2021 Yingying Xu, Ming Cai, Lanfen Lin, Yue Zhang, Hongjie Hu, Zhiyi Peng, Qiaowei Zhang, Qingqing Chen, Xiongwei Mao, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong

In this paper, we propose a phase attention residual network (PA-ResSeg) to model multi-phase features for accurate liver tumor segmentation, in which a phase attention (PA) is newly proposed to additionally exploit the images of arterial (ART) phase to facilitate the segmentation of portal venous (PV) phase.

Tumor Segmentation

Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution

no code implementations ICCV 2021 Huimin Huang, Lanfen Lin, Yue Zhang, Yingying Xu, Jing Zheng, Xiongwei Mao, Xiaohan Qian, Zhiyi Peng, Jianying Zhou, Yen-Wei Chen, Ruofeng Tong

Semi-supervised learning (SSL) algorithms have attracted much attentions in medical image segmentation by leveraging unlabeled data, which challenge in acquiring massive pixel-wise annotated samples.

Boundary Detection Image Segmentation +3

Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce

no code implementations16 Dec 2020 Yuting Chen, Yanshi Wang, Yabo Ni, An-Xiang Zeng, Lanfen Lin

Finally, we employ a novel mutual unit to adaptively learn the similarity between various scenarios and incorporate it into multi-branch network.

Cultural Vocal Bursts Intensity Prediction Recommendation Systems

VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data

no code implementations16 Oct 2020 Yinhao Li, Yutaro Iwamoto, Lanfen Lin, Rui Xu, Yen-Wei Chen

We construct a parallel connection structure based on the group convolution and feature aggregation to build a 3D CNN that is as wide as possible with few parameters.


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