IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2024
10 – 13 November 2024 Houston, TX USA
Adaptive Multi-dimensional Weighted Network with Category-aware Contrastive Learning for Fine-grained Hand Bone Segmentation
Zeng, Bolun; Chen, Li; Zheng, Yuanyi; Chen, Xiaojun
Accurately delineating and categorizing individual hand bones in 3D ultrasound (US) is a promising technology for precise digital diagnostic analysis. However, this is a challenging task due to the inherent imaging limitations of the US and the insignificant feature differences among numerous bones. In this study, we have proposed a novel deep learning-based solution for pediatric hand bone segmentation in the US. Our method is unique in that it allows for effective detailed feature mining through an adaptive multi-dimensional weighting attention mechanism. It innovatively implements a category-aware contrastive learning method to highlight inter-class semantic feature differences, thereby enhancing the category discrimination performance of the model. Extensive experiments on the challenging pediatric clinical hand 3D US datasets show the outstanding performance of the proposed method in segmenting thirty-eight bone structures, with the average Dice coefficient of 90.0%. The results outperform other state-of-the-art methods, demonstrating its effectiveness in fine-grained hand bone segmentation. Our method will be globally released as a plugin in the 3D Slicer, providing an innovative and reliable tool for relevant clinical applications.
Sensor Informatics
Evolutionary Ensemble Learning for EEG-based Cross-Subject Emotion Recognition
Zhang, Hanzhong; Zuo, Tienyu; Chen, Zhiyang; Wang, Xin; Sun, Poly Z.H
HGCTNet: Handcrafted Feature-Guided CNN and Transformer Network for Wearable Cuffless Blood Pressure Measurement
Liu, Zengding; Li, Ye; Zhang, Yuanting; Zeng, Jia; Chen, Zu-Xian; Liu, Jikui; Miao, Fen.
Estimating the severity of obstructive sleep apnea using ECG, respiratory effort and neural networks
Fonseca, Pedro; Ross, Marco; Cerny, Andreas; Anderer, Peter; Schipper, Fons; Grassi, Angela; van Gilst, Merel;
Overeem, Sebastiaan.
Decomposing Task-Relevant Information from Surface Electromyogram for User-Generic Dexterous
Finger Force Decoding
Fan, Jiahao; Hu, Xiaogang
GaitNet+ARL: A Deep Learning Algorithm for Interpretable Gait Analysis of Chronic Ankle Instability
Gu, Haidong; Yen, Sheng-Che
Predicting Arterial Stiffness from Single-Channel Photoplethysmography Signal: A Feature Interaction-Based Approach
Chen, Yawei; Yang, Xuezhi; Song, Rencheng; Liu, Xuenan; Zhang, Jie
A Residual U-Net Neural Network for Seismocardiogram Denoising and Analysis During Physical Activity
Nikbakht, Mohammad; Chan, Michael; Lin, David; Gazi, Asim; Inan, Omer
MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and
Discrete EEG Emotion Recognition
Ding, Yi; Zhang, Su; Tang, Chuangao; Guan, Cuntai
A Deep Learning Approach to Estimate Multi-Level Mental Stress from EEG using Serious Games
Gonzalez-Vazquez, Joaquin J.; Bernat, Lluis; Ramσn Carretero, Jose Luis; Morell, Vicente; Ϊbeda, Andrιs
A Deep Learning Approach for Fear Recognition on the Edge based on Two-dimensional Feature Maps
Sun, Junjiao; Portilla, Jorge; Otero, Andres
Imaging Informatics
Protecting Prostate Cancer Classification from Rectal Artifacts via Targeted Adversarial Training
Hu, Lei; Zhou, Dawei; Xu, Jiahua; Lu, Cheng; Han, Chu; Shi, Zhenwei; Zhu, Qikui; Gao, Xinbo; Wang, Nannan; Liu, Zaiyi
Prognosis Prediction of Diffuse Large B-cell Lymphoma in 18 F-FDG PET images Based on Multi-Deep-Learning Models
Qian, Chunjun; Jiang, Chong; Xie, Kai; Ding, Chongyang; Teng, Yue; Sun, Jiawei; Gao, Liugang; Zhou, Zhengyang; Ni, Xinye
tFUSFormer: Physics-guided super-resolution Transformer for simulation of transcranial focused ultrasound propagation in brain stimulation
Shin, Minwoo; Seo, Minjee; Yoo, Seung-Schik; Yoon, Kyungho
A Coarse-Fine Collaborative Learning Model for Three Vessel Segmentation in Fetal Cardiac Ultrasound Images
Ling, Shan; Yan, Laifa; Mao, Rongsong; Li, Jizhou; Xi, Haoran; Wang, Fei; Li, Xiaolin; He, Min
HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation
Huang, Xiaofei; Gong, Hongfang; Zhang, Jin
Target-Guided Diffusion Models for Unpaired Cross-modality Medical Image Translation
luo, yimin; Yang, Qinyu; Liu, Ziyi; Shi, Zenglin; Huang, Weimin; Zheng, Guoyan; Cheng, Jun
MSDE-Net: A Multi-Scale Dual-Encoding Network for Surgical Instrument Segmentation
Lei, Yang; Gu, Yuge; Bian, Gui-Bin; Liu, Yanhong
Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis
Dorjsembe, Zolnamar; Pao, Hsing-Kuo; Odonchimed, Sodtavilan; Xiao, Furen
Sliding Window Optimal Transport for Open World Artifact Detection in Histopathology
Fuchs, Moritz; Konstantin, Mirko; Schrade, Nicolas; Schweizer, Leonille; Tolkach, Yuri; Mukhopadhyay, Anirban
FedIOD: Federated Multi-Organ Segmentation from Partial Labels by Exploring Inter-Organ Dependency
Wan, Qin Yan, Zengqiang; Yu, Li
WDFF-Net: Weighted Dual-branch Feature Fusion Network for Polyp Segmentation with Object-aware Attention Mechanism
Cao, Jie; Wang, Xin; Qu, Zhiwei; Zhuo, Li; Li, Xiaoguang; Zhang, Hui; Yang, Yang; Wei, Wei
Dual-Channel Prototype Network for Few-Shot Pathology Image Classification
Quan, Hao; Li, Xinjia; Hu, Dayu; Nan, Tianhang; Cui, Xiaoyu
Memory-based Cross-modal Semantic Alignment Network for Radiology Report Generation
Tao, Yitian; Ma, Liyan; Yu, Jing; Zhang, Han
Isolated Random Forest Assisted Spatio-Temporal Ant Colony Evolutionary Algorithm for Cell Tracking in Time-Lapse
Sequences
Xu, Benlian; Wu, Di; Shi, Jian; Cong, Jinliang; Lu, Mingli; Yang, Feng; Nener, Brett
Exploring Generalizable Distillation for Efficient Medical Image Segmentation
Qi, Xingqun; Wu, Zhuojie; Zou, Wenxuan; Ren, Min; Gao, Yifan; Sun, Muyi; Zhang, Shanghang; Shan, Caifeng;
Sun, Zhenan
Predicting Alzheimer’s Disease Progression using a Versatile Sequence-Length-Adaptive Encoder-Decoder
LSTM Architecture
Poonam, Km; Guha, Rajlakshmi; P, Partha Chakrabarti
Medical Informatics
Hybrid Brain-Computer Interface Controlled Soft Robotic Glove for Stroke Rehabilitation
Zhang, Ruoqing; Feng, Shanshan; Hu, Nan; Low, Shunkang Li, Meng; Chen, Xiaogang; Cui, Hongyan.
Developing deep LSTMs with later temporal attention for predicting COVID-19 severity, clinical outcome, and antibody level by
screening serological indicators over time
Cai, Jiaxin; Li, Yang; Liu, Baichen; Wu, Zhixi; Zhu, Shengjun; Chen, Qiliang; Lei, Qing; Hou, Hongyan; Guo, Zhibin; Jiang, Hewei;
Guo, Shujuan; Wang, Feng; Huang, Shengjing; Zhu, Shunzhi; Fan, Xionglin; Tao, Shengce
Surgery duration prediction using multi-task feature selection
Rappoport, Nadav; Azriel, David; Rinott, Yosef; Tal, Orna; Abbou, Benyamine
DNA-T: Deformable Neighborhood Attention Transformer for Irregular Medical Time Series
Huang, Jianxuan; Yang, Baoyao; Yin, Kejing; Xu, Jingwen
Predicting future disorders via temporal knowledge graphs and medical ontologies
Postiglione, Marco; Bean, Daniel; Kraljevic, Zeljko; Dobson, Richard; Moscato, Vincenzo
MEDi-SOL: Multi Ensemble Distribution Model for Estimating Sleep Onset Latency
Oh, Seungwon; Kweon, Young-Seok; Shin, Gi-Hwan; Lee, Seong-Whan
Bioinformatics
Motif-aware miRNA-disease association prediction via hierarchical attention network
Zhao, Bo-Wei; He, Yi-Zhou; Su, Xiaorui; Yang, Yue; Li, Guodong; Huang, Yu-An; Hu, Pengwei; You, Zhuhong; Hu, Lun
A Hierarchical Graph Neural Network Framework for Predicting Protein-Protein Interaction Modulators with Functional Group
Information and Hypergraph Structure
Zhang, Zitong; Zhao, Lingling; Wang, Junjie; Wang, Chunyu
Meta-path semantic and global-local representation learning enhanced graph convolutional model for disease-related miRNA prediction
Xuan, Ping; Wang, Xiuju; Cui, Hui; Meng, Xiangfeng; Nakaguchi, Toshiya; Zhang, Tiangang
Redefining the Game: MVAE-DFDPnet’s Low-Dimensional Embeddings for Superior Drug-Protein Interaction Predictions
Xia, Liang-Yong; Wu, Yu; Zhao, Longfei; Chen, Leying; Zhang, Shiyi; Wang, Mengdi; Luo, Jie
MAMLCDA: A meta-learning model for predicting circRNA-disease association based on MAML combined with CNN
Tian, Yuanyi; Zou, Quan; Wang, Chunyu; Jia, Cangzhi
Equivariant Line Graph Neural Network for Protein-Ligand Binding Affinity Prediction
Ou-Yang, Le; Yi, Yiqiang; Wan, Xu; Zhao, Kangfei; Zhao, Peilin
Subtask-aware Representation Learning for Predicting Antibiotic Resistance Gene Properties via Gating-controlled Mechanism
Zhao, Weizhong; Wu, Junze; Luo, Shujie; Jiang, Xingpeng; He, Tingting; Hu, Xiaohua
FTMMR: Fusion Transformer for Integrating Multiple Molecular Representations
Son, Young-Han; Shin, Dong-Hee; Kam, Tae-Eui
Subgraph-aware Graph Kernel Neural Network for Link Prediction in Biological Networks
Li, Menglu; Wang, Zhiwei; Liu, Luotao; Liu, Xuan; zhang, wen
Cross-domain feature disentanglement for interpretable modeling of tumor microenvironment impact on drug response
Zhai, Jia; Liu, Hiu
Modeling and AI Informatics
De-biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data
Zhong, Zhusi; Li, Jie; Kulkarni, Shreyas; Zhang, Helen; Fayad, Fayez H.; Li, Yang; Collins, Scott; Bai, Harrison X; Ahn, Sun Ho; Atalay, Michael K.; Gao, Xinbo; Jiao, Zhicheng
Spectral time-varying pattern causality and its application
Lin, Aijing; Mi, Yujia
Predicting Progression from Mild Cognitive Impairment to Alzheimers Dementia with Adversarial Attacks
İnci M. Baytaş
Real-time Healthcare Monitoring with IoT Networks
Active Reconfigurable Intelligent Surface Enhanced Internet of Medical Things
Zhu, Zhengyu; Li, Jiaxue; Chu, Zheng; Liang, Jing; Niu, Hehao; Mi, De; Yin, Cheng; Liu, Peijia
MDDBranchNet: A deep learning model for detecting major depressive disorder using ECG signal
Habib, Ahsan; Vaniya, Shruthi Narayanan; Khandoker, Ahsan; Karmakar, Chandan
SMARTSeiz: Deep Learning with Attention Mechanism for Accurate Seizure Recognition in IoT Healthcare Devices
PATRO, KIRAN KUMAR; Jaya Prakash, Allam; Sahoo, Jaya Prakash; ROUTRAY, SIDHESWAR; Baihan, Abdullah; Samee, Nagwan Abdel;
Huang, Gaojian
Superimposed Semantic Communication for IoT-based Real-time ECG Monitoring
Gao, Dahua; Yang, Minxi; Li, Jiaxuan; Xu, Wenlong; Shi, Guangming
Multi-Resolution Wavelet Fractal Analysis and Subtask Training for Enhancing Few-Shot Noisy Brainwave Recognition
denghui, zhang; Shafiq, Muhammad; Tang, Keke; Naseem, Usman
Deep Learning-Enhanced Internet of Things for Activity Recognition in Post-Stroke Rehabilitation
Jin, Fangpeng; Zou, Mi; Peng, Xiaoyun; Lei, Hua; Ren, Yongjun
LDMRes-Net: A Lightweight Neural Network for Efficient Medical Image Segmentation on IoT and Edge Devices
Iqbal, Shahzaib; Khan, Tariq Mehmood; Naqvi, Syed S.; Naveed, Asim; Usman, Muhammad; Razzak, Imran; Ahmed, Haroon