no code implementations • 19 Dec 2024 • Gui Wang, Yuexiang Li, WenTing Chen, Meidan Ding, Wooi Ping Cheah, Rong Qu, Jianfeng Ren, Linlin Shen
Specifically, an Enhanced Visual State Space block is designed to focus on small lesions through multiple residual connections to preserve local features, and selectively amplify important details while suppressing irrelevant ones through channel-wise attention.
no code implementations • 19 Dec 2024 • Xiaofei Huang, WenTing Chen, Jie Liu, Qisheng Lu, Xiaoling Luo, Linlin Shen
In the first stage, a MeSH-Guided Coarse-Grained Alignment (MCG) stage that aligns chest X-ray (CXR) image features with medical subject headings (MeSH) features to generate a rough keyphrase representation of the overall impression.
no code implementations • 3 Dec 2024 • Yuci Liang, Xinheng Lyu, Meidan Ding, WenTing Chen, Jipeng Zhang, Yuexiang Ren, Xiangjian He, Song Wu, Sen yang, Xiyue Wang, Xiaohan Xing, Linlin Shen
Recent advancements in computational pathology have produced patch-level Multi-modal Large Language Models (MLLMs), but these models are limited by their inability to analyze whole slide images (WSIs) comprehensively and their tendency to bypass crucial morphological features that pathologists rely on for diagnosis.
no code implementations • 2 Dec 2024 • Jie Liu, Wenxuan Wang, Zizhan Ma, Guolin Huang, Yihang Su, Kao-Jung Chang, WenTing Chen, Haoliang Li, Linlin Shen, Michael Lyu
To address this gap, we present MedChain, a dataset of 12, 163 clinical cases that covers five key stages of clinical workflow.
1 code implementation • 10 Aug 2024 • Shaonan Liu, WenTing Chen, Jie Liu, Xiaoling Luo, Linlin Shen
To understand the attention allocation and cognitive behavior of radiologists during the medical image interpretation process, we propose a context-aware Gaze EstiMation (GEM) network that utilizes eye gaze data collected from radiologists to simulate their visual search behavior patterns throughout the image interpretation process.
1 code implementation • 2 Jul 2024 • Cheng-Yi Li, Kao-Jung Chang, Cheng-Fu Yang, Hsin-Yu Wu, WenTing Chen, Hritik Bansal, Ling Chen, Yi-Ping Yang, Yu-Chun Chen, Shih-Pin Chen, Jiing-Feng Lirng, Kai-Wei Chang, Shih-Hwa Chiou
Multi-modal large language models (MLLMs) have been given free rein to explore exciting medical applications with a primary focus on radiology report generation.
1 code implementation • 26 Jun 2024 • WenTing Chen, Jie Liu, Tommy W. S. Chow, Yixuan Yuan
Specifically, the higher-level spatial manager is proposed to pick out the most corrupted patch for the lower-level patch worker.
no code implementations • 22 May 2024 • Filippo Ruffini, Lorenzo Tronchin, Zhuoru Wu, WenTing Chen, Paolo Soda, Linlin Shen, Valerio Guarrasi
In the fight against the COVID-19 pandemic, leveraging artificial intelligence to predict disease outcomes from chest radiographic images represents a significant scientific aim.
1 code implementation • 19 Mar 2024 • Chong Ma, Hanqi Jiang, WenTing Chen, Yiwei Li, Zihao Wu, Xiaowei Yu, Zhengliang Liu, Lei Guo, Dajiang Zhu, Tuo Zhang, Dinggang Shen, Tianming Liu, Xiang Li
This data-reliance may lead to low generalization of the learned alignment relationships.
no code implementations • 19 Mar 2024 • Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basant, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Ali, Bhakti Baheti, Yingbin Bai, Ishaan Bhatt, Sabri Can Cetindag, WenTing Chen, Li Cheng, Prasad Dutand, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Oksuz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, Joao Lourenco Silva, Ziga Spiclin, Sanjay Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, Yinglin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard Do, Anton Becker, Amber Simpson, Ender Konukoglu, Andras Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern Menze
The challenge focuses on the uncertainty quantification of medical image segmentation which considers the omnipresence of inter-rater variability in imaging datasets.
no code implementations • 11 Mar 2024 • WenTing Chen, Pengyu Wang, Hui Ren, Lichao Sun, Quanzheng Li, Yixuan Yuan, Xiang Li
To address these challenges, we propose a novel medical image synthesis model that leverages fine-grained image-text alignment and anatomy-pathology prompts to generate highly detailed and accurate synthetic medical images.
no code implementations • 17 Feb 2024 • Jie Liu, Wenxuan Wang, Yihang Su, Jingyuan Huan, WenTing Chen, Yudi Zhang, Cheng-Yi Li, Kao-Jung Chang, Xiaohan Xin, Linlin Shen, Michael R. Lyu
The significant breakthroughs of Medical Multi-Modal Large Language Models (Med-MLLMs) renovate modern healthcare with robust information synthesis and medical decision support.
no code implementations • 13 Dec 2023 • WenTing Chen, Linlin Shen, Jingyang Lin, Jiebo Luo, Xiang Li, Yixuan Yuan
To address these issues, we propose a novel Adaptive patch-word Matching (AdaMatch) model to correlate chest X-ray (CXR) image regions with words in medical reports and apply it to CXR-report generation to provide explainability for the generation process.
no code implementations • 17 May 2023 • Xinquan Yang, Xuguang Li, Xuechen Li, WenTing Chen, Linlin Shen, Xin Li, Yongqiang Deng
In this paper, we develop a two-stream implant position regression framework (TSIPR), which consists of an implant region detector (IRD) and a multi-scale patch embedding regression network (MSPENet), to address this issue.
no code implementations • 28 Nov 2021 • Xiaokang Zhang, Yuanlue Zhu, WenTing Chen, Wenshuang Liu, Linlin Shen
The existing methods generally provide a discriminator with an auxiliary classifier to impose domain translation.
no code implementations • 29 Jul 2020 • Wenshuang Liu, Wenting Chen, Linlin Shen
We propose in this paper a region-wise normalization framework, for region level face translation.
no code implementations • 29 Jul 2020 • Wenting Chen, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng
A topology ranking discriminator based on ordinal regression is proposed to rank the topological connectivity level of the ground-truth, the generated A/V mask and the intentionally shuffled mask.
1 code implementation • 22 Jul 2020 • Junde Wu, Shuang Yu, WenTing Chen, Kai Ma, Rao Fu, Hanruo Liu, Xiaoguang Di, Yefeng Zheng
Recently, deep learning has been adopted to the glaucoma classification task with performance comparable to that of human experts.
no code implementations • 24 Dec 2018 • WenTing Chen, Xinpeng Xie, Xi Jia, Linlin Shen
We also evaluate our approach qualitatively and quantitatively on facial attribute and facial expression synthesis.