Fwd: IEEE JBHI - Highlights of February 2024

[hrmohan ieeecs]

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From: IEEE Engineering in Medicine & Biology Society <ieee...@deliver.ieee.org>
Date: Thu, Feb 22, 2024, 4:00 AM
Subject: IEEE JBHI - Highlights of February 2024
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IEEE Journal of Biomedical and Health Informatics

[ Image ]   [ Image ] [[https://ieeexplore.ieee.org/document/10328862]] Noise-Factorized Disentangled Representation Learning for Generalizable Motor Imagery EEG Classification X. Gu, J. Han, G-Z Yang, B. Lo, Motor Imagery (MI) Electroencephalography (EEG) is one of the most common Brain-Computer Interface (BCI) paradigms that has been widely used in neural rehabilitation and gaming. Although considerable research efforts have been dedicated to developing MI EEG classification algorithms, they are mostly limited in handling scenarios where the training and testing data are not from the same subject or session. Such poor generalization capability significantly limits the realization of BCI in real-world applications. In this paper, we proposed a novel framework to disentangle the representation of raw EEG data into three components, subject/session-specific, MI-task-specific, and random noises, so that the subject/session-specific feature extends the generalization capability of the system. This is realized by a joint discriminative and generative framework, supported by a series of fundamental training losses and training strategies. We evaluated our framework on three public MI EEG datasets, and detailed experimental results show that our method can achieve superior performance by a large margin compared to current state-of-the-art benchmark algorithms. https://ieeexplore.ieee.org/document/10328862

Sensor Informatics [ Sensor Informatics ] [[https://ieeexplore.ieee.org/document/10329957]] ST-SCGNN: A Spatio-Temporal Self-Constructing Graph Neural Network for Cross-Subject EEG-Based Emotion Recognition and Consciousness Detection Pan, Jiahui; Liang, Rongming; He, Zhipeng; Li, Jingcong; Liang, Yan; Zhou, Xinjie; He, Yanbin; Li, Yuanqing. https://ieeexplore.ieee.org/document/10329957

Noise-Factorized Disentangled Representation Learning for Generalizable Motor Imagery EEG Classification. Gu, Xiao; Han, Jinpei; Yang, Guang-Zhong; Lo, Benny. https://ieeexplore.ieee.org/document/10328862 In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection. Soltanieh, Sahar; Hashemi, Javad; Etemad, Ali. https://ieeexplore.ieee.org/document/10315016 Automatic Sleep Staging Based on Contextual Scalograms and Attention Convolution Neural Network Using Single-channel EEG. Luo, Yuxi; Wei, Yu; Zhu, Yongpeng; Zhou, Yihan; Yu, Xiaokang. https://ieeexplore.ieee.org/document/10316581 Multiscale Canonical Coherence for Functional Corticomuscular Coupling Analysis. Sun, Jingyao; Jia, Tianyu; Lin, Ping-Ju; Li, Zhibin; Ji, Linhong; Li, Chong. https://ieeexplore.ieee.org/document/10316614

Imagining Informatics [ Imagining Informatics ] [[https://ieeexplore.ieee.org/document/10327778]] Image Recovery Matters: A Recovery-Extraction Framework for Robust Fetal Brain Extraction from MR Images. Chen, Geng; Chen, Jian; L, RL; Ye, Shilin; Guang, Mengting; TASSEW, TEWODROS; Jing, Bin; Zhang, Guofu; Shen, Dinggang. https://ieeexplore.ieee.org/document/10327778 Hybrid QUS Radiomics: A Multimodal-Integrated Quantitative Ultrasound Radiomics for Assessing Ambulatory Function in Duchenne Muscular Dystrophy. Tsui, Po-Hsiang; YAN, DONG; Li, Qiang; Lin, Chia-Wei; Shieh, Jeng-Yi; Weng, Wen-Chin. https://ieeexplore.ieee.org/document/10310097 MAEF-Net: MLP Attention for Feature Enhancement in U-Net based Medical Image Segmentation Networks. Zhang, Yunchu; Dong, Jianfei. https://ieeexplore.ieee.org/document/10321648 MRL-Seg: Overcoming Imbalance in Medical Image Segmentation with Multi-Step Reinforcement Learning. Yang, Feiyang; Li, Xiongfei; Duan, Haoran; Xu, Feilong; Huang, Yawen; Zhang, Xiaoli; Long, Yang; Zheng, Yefeng. https://ieeexplore.ieee.org/document/10336383 Prior-Guided Attribution of Deep Neural Networks for Obstetrics and Gynecology. Bonnard, Jules; Dapogny, Arnaud; Zsamboki, Richard; Braud, Lucrezia De; Jurkovic, Davor; Bailly, Kιvin; Dhombres, Ferdinand. https://ieeexplore.ieee.org/document/10333329 STANet: Spatio-Temporal Adaptive Network and Clinical Prior Embedding Learning for 3D+T CMR Segmentation Qi, Xiaoming; He, Yuting; Qi, Yaolei; Kong, Youyong; Yang, Guanyu; Li, Shuo. https://ieeexplore.ieee.org/document/10339841 ST-GAN: A Swin Transformer-based Generative Adversarial Network for Unsupervised Domain Adaptation of Cross-modality Cardiac Segmentation Zhang, yifan; wang, yonghui; Xu, Lisheng; Yao, Yu-dong; Qian, Wei; Qi, Lin. https://ieeexplore.ieee.org/document/10333975 Vague-Segment Technique: Automatic Computation of Tumor Stroma Ratio for Breast Cancer on Whole Slides. Chen, Linying; Xinsen, Lian; Yang, Kunping; Bingzhi, Chen; Xiuhong, Cai; Xinling, Lu; Xinyao, Xu; Jinlin, Chen; Ming, Tian; Pengtao, Lin; Zheng, Xi https://ieeexplore.ieee.org/document/10352921 Double Transformer Super-Resolution for Breast Cancer ADC Images Yang, Ying; Xiang, Tao; Lv, Xiao; Li, Lihua; Lui, Lok Ming; Zeng, Tieyong https://ieeexplore.ieee.org/document/10352927 An Implicit-Explicit Prototypical Alignment Framework for Semi-Supervised Medical Image Segmentation. Gao, Xinbo; Tian, Chunna; Zhang, Zhenxi; Zhou, Heng; Ran, Ran; Jiao, Zhicheng. https://ieeexplore.ieee.org/document/10310088 HT-RCM: Hashimotos Thyroiditis Ultrasound Image Classification Model based on Res-FCT and Res-CAM. Yue, Guanghui; Jiang, Wenchao; Chen, Kang; Liang, Zhipeng; Luo, Tianchun; Zhao, Zhiming; Song, Wei; Zhao, Ling; Wen, Jianxuan. https://ieeexplore.ieee.org/document/10314736 Center-Focused Affinity Loss for Class Imbalance Histology Image Classification. Mahbub, Taslim; Obeid, Ahmad; Javed, Sajid; Dias, Jorge; Hassan, Taimur; Werghi, Naoufel. https://ieeexplore.ieee.org/document/10328684 Negative Instance Guided Self-Distillation Framework for Whole Slide Image Analysis Luo, Xiaoyuan; Qu, Linhao; Guo, Qinhao; Song, Zhijian; Wang, Manning. https://ieeexplore.ieee.org/document/10195157 A novel high-dimensional kernel joint non-negative matrix factorization with multimodal information for lung cancer study Shi, Yuhu; Jin, Zhibin; Deng, Jin; Zeng, Weiming; Zhou, Lili. https://ieeexplore.ieee.org/document/10336413 A Weakly Supervised Segmentation Network Embedding Cross-scale Attention Guidance and Noise-sensitive Constraint for Detecting Tertiary Lymphoid Structures of Pancreatic Tumors. Gui, Luying; Wang, Bingxue; Zou, Liwen; Chen, Jun; Cao, Yingying; Cai, Zhenghua; Qiu, Yudong; Mao, Liang; Wang, Zhongqiu; Chen, Jingya; YANG, XIAOPING. https://ieeexplore.ieee.org/document/10349929 Eat-Radar: Continuous Fine-Grained Intake Gesture Detection Using FMCW Radar and 3D Temporal Convolutional Network with Attention. Wang, Chunzhuo; T, Sunil Kumar; De Raedt, Walter; Camps, Guido; Hallez, Hans; Vanrumste, Bart. https://ieeexplore.ieee.org/document/10349929 Brain Age Prediction Based on Quantitative Susceptibility Mapping Using the Segmentation Transformer. Chen, Mingxing; Wang, Yiqing; Shi, Yuting; Feng, Jie; Feng, Ruimin; Guan, Xiaojun; Xu, Xiaojun; Zhang, Yuyao; Jin, Cheng; Wei, Hongjiang https://ieeexplore.ieee.org/document/10354301

Medical Informatics [ Medical Informatics ] [[https://ieeexplore.ieee.org/document/10329429]] Detection and Assessment of Point-to-Point Movements during Functional Activities using Deep Learning and Kinematic Analyses of the Stroke-Affected Wrist. Oubre, Brandon; Lee, Sunghoon https://ieeexplore.ieee.org/document/10329429 Modality-specific feature selection, data augmentation and temporal context for improved performance in sleep staging. JAIN, RITIKA; Ramakrishnan, Angarai Ganesan. https://ieeexplore.ieee.org/document/10343118 A Semi-supervised Multi-scale Arbitrary Dilated Convolution Neural Network for Pediatric Sleep Staging. Chen, Zhiqiang; Pan, Xue; Zhifei, Xu; Li, Ke; Lv, Yudan; Zhang, Yuan; Sun, Hongqiang. https://ieeexplore.ieee.org/document/10309915 Detecting Eating Episodes From Wrist Motion Using Daily Pattern Analysis Tang, Zeyu; Patyk, Adam; Jolly, James; Goldstein, Stephanie P.; Thomas, J. Graham; Hoover, Adam. https://ieeexplore.ieee.org/document/10352938 Pathological Gait Analysis with an Open-Source Cloud-Enabled Platform Empowered by Semi-Supervised Learning – PathoOpenGait. Tseng, Yufeng; Ho, Ming-Yang; Kuo, Ming-Che; Chen, Ciao-Sin; Wu, Ruey-Meei; Chuang, Ching-Chi; Shih, Chi-Sheng. https://ieeexplore.ieee.org/document/10349936 Bioinformatics

[ Bioinformatics ] [[https://ieeexplore.ieee.org/document/10360234]] Effect Predictor of Driver Synonymous Mutations Based on Multi-feature Fusion and Iterative Feature Representation Learning. Cheng, Na; Bi, Chuanmei; Shi, Yong; Liu, Mengya; Cao, Anqi; Ren, Mengkun; Xia, Junfeng; Liang, Zhen. https://ieeexplore.ieee.org/document/10360234 Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association Prediction. Gao, Ying-Lian; Jiao, Cui-Na; Zhou, Feng; Liu, Bao-Min; Zheng, Chun-Hou; Liu, Jin-Xing. https://ieeexplore.ieee.org/document/10345688 An Improved Statistical Modeling Approach to Individual Anticholinergic Drug Use Trend Analysis. Lou, Zhouyang; Li, Mingyang; Campbell, Noll L.; Tu, Wanzhu; Kong, Nan. https://ieeexplore.ieee.org/document/10316629 Improving cancer survival prediction via graph convolutional neural networks learning on protein-protein interaction networks. Cai, Hongmin; Liao, Yi; Zhu, Lei; Wang, Zhikang; Song, Jiangning. https://ieeexplore.ieee.org/document/10316628

Modeling and AI Informatics [ Modeling and AI Informatics ] [[https://ieeexplore.ieee.org/document/10314751]] A Lightweight Hybrid Model Using Multiscale Markov Transition Field for Real-Time Quality Assessment of Photoplethysmography Signals. Yang, Cuiwei; Liu, Jian; Hu, Shuaicong; Wang, Ya'nan; Hu, Qihan; Wang, Daomiao. https://ieeexplore.ieee.org/document/10314751 Estimation of Circular Statistics in the Presence of Measurement Bias. Alsammani, Abdallah; Stacey, William C.; Gliske, Stephen V.. https://ieeexplore.ieee.org/document/10335958 Attention-based deep learning model for prediction of major adverse cardiovascular events in peritoneal dialysis patients. Xu, Zhiyuan; Xu, Xiao; Zhu, Xuemei; Niu, Kai; Dong, Jie; He, Zhiqiang. https://ieeexplore.ieee.org/document/10339835

Camera-based Health Monitoring in Real-world Scenarios [ Image ] [[https://ieeexplore.ieee.org/document/10246978]]

cbPPGGAN: A Generic Enhancement Framework for Unpaired Pulse Waveforms in Camera-based Photoplethysmography. Yang, Ze; Wang, Haofei; Liu, Bo; Lu, Feng. https://ieeexplore.ieee.org/document/10246978 Learning Spatio-Temporal Pulse Representation with Global-Local Interaction and Supervision for Remote Prediction of Heart Rate. Zhao, Changchen; Zhou, Menghao; Zhao, Zheng; Huang, Bin; Rao, Bing. https://ieeexplore.ieee.org/document/10058181 Contactless Blood Pressure Measurement via Remote Photoplethysmography with Synthetic Data Generation Using Generative Adversarial Network. Wu, Bing-Fei; Chiu, Li-Wen; Wu, Yi-Chiao;  Lai, Chun-Chih; Cheng, Hao-Min; Chu, Pao-Hsien. https://ieeexplore.ieee.org/document/9857123 A Review of Depth-based Human Motion Capture Enhancement: Past, Present, and Future. Zhou, Le; Lannan, Nate; Fan, Guoliang. https://ieeexplore.ieee.org/document/10073517 Hand Grasp Classification in Egocentric Video after Cervical Spinal Cord Injury. Dousty, Mehdy; Fleet, David; Zariffa, Jose. https://ieeexplore.ieee.org/document/10107388 A Digital Camera-based Eye Movement Assessment Method for NeuroEye Examination. Hassan, Mohamed Abul; Yin, Xuwang; Zhuang, Yan; Aldridge, Chad M.; McMurry, Timothy  ; Southerland, Andrew; Rohde, Gustavo. https://ieeexplore.ieee.org/document/10152473 Towards an AI-based Objective Prognostic Model for Quantifying Wound Healing. Gupta, Rishabh; Goldstone, Lucas; Eisen, Shira; Ramachandram, Dhanesh; Cassata, Amy; Fraser, Robert; Ramirez-GarciaLuna, Jose; Bartlett, Robert; Allport, Justin. https://ieeexplore.ieee.org/document/10058154 NRP: A Multi-source, Heterogeneous, Automatic Data Collection System for Infants in Neonatal Intensive Care Units. Pigueiras, Janet; C. Gontard, Lionel; Benavente-Fernαndez, Isabel; Lubian, Simσn; Gallero, Enrique; Ruiz-Zafra, Angel. https://ieeexplore.ieee.org/document/10224264 Automated Prediction of Infant Cognitive Development Risk by Video:A Pilot Study. Ji, Shengjie; Ma, Dan; Pan   , Lunxin; Wang , Wenan; Peng , Xiaohang; Toluwani Amos , Joan; Niyigena Ingabire , Honorine; Li, Min; Wang , Ying; Yao, Dezhong; Ren, Peng. https://ieeexplore.ieee.org/document/10101764 Achieving Health Equity Through AI for Diagnosis and Treatment. Sparse and Hierarchical Transformer for Survival Analysis on Whole Slide Images Yan, Rui; Lv, Zhilong; Yang, Zhidong; Lin, Senlin; Zheng, Chunhou; Zhang, Fa. [ Modeling and AI Informatics ] [[https://ieeexplore.ieee.org/document/10050021]] Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia from Chest X-Ray Images. Chen, Shengchao; Ren, Sufen; Wang, Guanjun; Huang, Mengxing; Xue, Chenyang. https://ieeexplore.ieee.org/document/10050021 An Explainable and Personalized Cognitive Reasoning Model Based on Knowledge Graph: Toward Decision Making for General Practice. Liu, Qianghua; Tian, Yu; Zhou, Tianshu; Lyu, Kewei; Wang, Zhixiao; Zheng, Yixiao; Liu, Ying Ren, Jingjing Li, Jingsong. https://ieeexplore.ieee.org/document/10239383 Deeply Supervised Skin Lesions Diagnosis with Stage and Branch Attention. DAI, Wei; Liu, Rui; Wu, Tianyi; Wang, Min; Yin, Jianqin; Liu, Jun. https://ieeexplore.ieee.org/document/10230242 CellT-Net: A Composite Transformer Method for 2-D Cell Instance Segmentation. Wan, Zhijiang; Li, Manyu; Wang, Zihan; Tan, Hai; Li, Wei; Yu, Lisu; Samuel, Dinesh Jackson. https://ieeexplore.ieee.org/document/10093843 AI-Based Automatic System for Assessing Upper-Limb Spasticity of Patients with Stroke Through Voluntary Movement Lee, I-Jung; HU, YU HEN; Hsiao, Pei-Chi; Yang, Shu-Yu; Lin, Hsin-Te; Chen, Yu-Chung; Lin, Bor-Shing. https://ieeexplore.ieee.org/document/9946399

Special Issues Now Accepting Submissions Fusion of Artificial Intelligence and Metaverse Technologies for Personalized and Predictive Healthcare Capabilities [ Image ] Guest Editors  Khursheed Aurangzeb, King Saud University, kaura...@ksu.edu.sa  Shuihua Wang, Xi'an Jiaotong-Liverpool University; shuih...@ieee.org  Yudong Zhang, Southeast University, yudon...@ieee.org  Pushan Kumar Dutta, Amity University Kolkata, India pkd...@kol.amity.edu  Bharat Bhushan, Sharda University, India, bharat_bh...@yahoo.com   Key Dates  Deadline for Submission: 30 Nov, 2024  First Reviews Due: 05 Feb, 2025  Revised Manuscript Due: 01 April, 2025  Final Decision: 01 June, 2025   Impact of Machine Learning on Personalized Medicine in Public Health [ Image ] Guest Editors  Shadi Mahmoud FalehAlZu’bi, Al-Zaytoonah University of Jordan, dr.shad...@gmail.com  MaysamAbbod, Brunel University London, Uxbridge, maysam...@brunel.ac.uk  Ashraf Darwish, Helwan University, Cairo, ashraf.d...@ieee.org Key Dates   Deadline for Submission: 25 July, 2024  First Reviews Due: 25 Oct, 2024  Revised Manuscript Due: 30 Dec, 2024  Final Decision: 05 Mar, 2025

Deep Learning Techniques for Automated Diagnosis and Treatment Planning  in Bioinformatics [ Image ] Guest Editors Dr. Shakir Khan, College of Computer and Information Sciences,Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia, drshaki...@gmail.com, sgk...@imamu.edu.sa Dr. Manju Khari, Jawaharlal Nehru University, Delhi-67, India, manju...@jnu.ac.in Dr.Mourade Azrour, Moulay Ismail University of Meknes, Errachidia, Morocco, mo.a...@umi.ac.ma Dr. Mohamed Elhoseny,University of Sharjah, UAE, melh...@ieee.org, melh...@sharjah.ac.ae Key Dates Deadline for Submission: 05 May 2024 First Reviews Due: 15 July 2024 Revised Manuscript due: 30 September 2024 Final Decision: 05 November 2024

Deep Learning Techniques for Automated Diagnosis and Treatment Planning  in Bioinformatics