Search Results for author: Yen-Wei Chen

Found 27 papers, 9 papers with code

SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix

no code implementations5 Mar 2024 Mrinmay Sen, A. K. Qin, Gayathri C, Raghu Kishore N, Yen-Wei Chen, Balasubramanian Raman

This paper introduces a new stochastic optimization method based on the regularized Fisher information matrix (FIM), named SOFIM, which can efficiently utilize the FIM to approximate the Hessian matrix for finding Newton's gradient update in large-scale stochastic optimization of machine learning models.

Image Classification Stochastic Optimization

A Survey on Domain Generalization for Medical Image Analysis

no code implementations7 Feb 2024 Ziwei Niu, Shuyi Ouyang, Shiao Xie, Yen-Wei Chen, Lanfen Lin

Medical Image Analysis (MedIA) has emerged as a crucial tool in computer-aided diagnosis systems, particularly with the advancement of deep learning (DL) in recent years.

Domain Generalization

Memory-Inspired Temporal Prompt Interaction for Text-Image Classification

no code implementations26 Jan 2024 Xinyao Yu, Hao Sun, Ziwei Niu, Rui Qin, Zhenjia Bai, Yen-Wei Chen, Lanfen Lin

We utilize temporal prompts on intermediate layers to imitate the acquiring stage, leverage similarity-based prompt interaction to imitate memory consolidation, and employ prompt generation strategy to imitate memory activation.

Classification Image Classification

M2ORT: Many-To-One Regression Transformer for Spatial Transcriptomics Prediction from Histopathology Images

no code implementations19 Jan 2024 Hongyi Wang, Xiuju Du, Jing Liu, Shuyi Ouyang, Yen-Wei Chen, Lanfen Lin

To address this limit, we propose M2ORT, a many-to-one regression Transformer that can accommodate the hierarchical structure of the pathology images through a decoupled multi-scale feature extractor.


Cross-modality Attention Adapter: A Glioma Segmentation Fine-tuning Method for SAM Using Multimodal Brain MR Images

no code implementations3 Jul 2023 Xiaoyu Shi, Shurong Chai, Yinhao Li, Jingliang Cheng, Jie Bai, Guohua Zhao, Yen-Wei Chen

However, for medical images with small dataset sizes, deep learning methods struggle to achieve better results on real-world image datasets.

Ladder Fine-tuning approach for SAM integrating complementary network

1 code implementation22 Jun 2023 Shurong Chai, Rahul Kumar Jain, Shiyu Teng, Jiaqing Liu, Yinhao Li, Tomoko Tateyama, Yen-Wei Chen

Currently, ongoing research focuses on exploring the effective utilization of these generalized models for specific domains, such as medical imaging.

Decoder Image Segmentation +2

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 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

1 code implementation26 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 +4

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 +2

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 +5

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.


Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network

no code implementations24 Apr 2020 Rui Xu, Tiantian Liu, Xinchen Ye, Yen-Wei Chen

Many deep learning based methods have been proposed for retinal vessel segmentation, however few of them focus on the connectivity of segmented vessels, which is quite important for a practical computer-aided diagnosis system on retinal images.

Retinal Vessel Segmentation Segmentation

Cannot find the paper you are looking for? You can Submit a new open access paper.