JBHI June Highlights - Medical Image Registration via Fourier Transform with Spatial Reorganization and Channel Refinement Network

June 2024 Highlights

June 2024 Highlights 1265 638 Journal of Biomedical and Health Informatics (JBHI)

IEEE BHI 2024 banner
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2024
10 – 13 November 2024 Houston, TX USA

JBHI June Highlights - Medical Image Registration via Fourier Transform with Spatial Reorganization and Channel Refinement Network

RegFSC-Net: Medical Image Registration via Fourier Transform with Spatial Reorganization and Channel Refinement Network
K. He, C. Liu, X. Dan, H. Shi, H. Zhang, Z. Kunyuan

The basic framework of RegFSC-Net benefits from efficient lightweight feature extraction modules SRM and CRM, and incorporates the Fourier Transformation to achieve registration accuracy comparable to state-of-the-art methods with fewer parameters and shorter runtimes. Experimental results show that RegFSC-Net outperforms various state-of-the-art methods. Specifically, in comparison to the widely recognized Transformer-based method TransMorph, RegFSC-Net utilizes only around 8.2% of its parameters, resulting in a 1.95% higher Dice score and significantly faster inference speeds of 126.67% and 419.99% on GPU and CPU, respectively. Furthermore, we also designed three variants of RegFSC-Net and demonstrated their potential applications in computer-aided diagnosis.

JBHI June Highlights - Seven Things to Know about Exercise Classification with Inertial Sensing Wearables

Seven Things to Know about Exercise Classification with Inertial Sensing Wearables
Phan, Vu; Song, Ke; Silva, Rodrigo Scattone; Silbernagel, Karin Gravare; Baxter, Josh R.; Halilaj, Eni

Understanding the role of self-attention in a Transformer model for the discrimination of SCD from MCI using resting-state EEG
Sibilano, Elena; Buongiorno, Domenico; Lassi, Michael; Grippo, Antonello; Bessi, Valentina; Sorbi, Sandro; Mazzoni, Alberto; Bevilacqua, Vitoantonio; Brunetti, Antonio

Model and Data Dual-Driven Double-Point Observation Network for Ultra-Short MI EEG Classification
Niu, Xu; Lu, Na; Yan, Ruofan; Luo, Huan

An EEG Study on β−γ Phase-Amplitude Coupling-Based Functional Brain Network in Epilepsy Patients
Lu, Junfeng; Li, Anyu; Li, Kaijie; Yu, Renping; Hu, Yuxia; Zhang, Rui; Zhang, Lipeng; Wan, Hong; Chen, Mingming

Tracking Tidal Volume from Holter and Wearable Armband Electrocardiogram Monitoring
Lázaro, Jesús; Reljin, Natasa; Bailón, Raquel; Gil, Eduardo; Noh, Yeonsik; Laguna, Pablo; Chon, Ki

Removal of Ocular and Muscular Artifacts from Multi-channel EEG Using Improved Spatial-Frequency Filtering
Wuxiang, Shi; Li, Yurong; Cai, Naiqing; Chen, Rukai; Wei, Cao; Li, Jixiang

SPARK: a high-efficiency black-box domain adaptation framework for source privacy-preserving drowsiness detection
Li, Ruilin; LIQIANG, YUAN; Cui, Jian; Siyal, Mohammad

Imaging Informatics

JBHI June Highlights - SCAC: A Semi-Supervised Learning Approach for Cervical Abnormal Cell Detection

SCAC: A Semi-Supervised Learning Approach for Cervical Abnormal Cell Detection
Zhang, Zheng; Yao, Peng; Chen, Mingxiao; Zeng, Liang; Shao, Pengfei; Shen, Shuwei; Xu, Ronald 

RegFSC-Net: Medical Image Registration via Fourier Transform with Spatial Reorganization and Channel Refinement Network
He, Kangjian; Liu, Chenou; dan, Xu; Shi, Hongzhen; Zhang, Hao; Kunyuan, Zhao

Deep Self-reconstruction Fusion Similarity Hashing for the Diagnosis of Alzheimers Disease on Multi-modal Data
Wu, Tian-Ru; Jiao, Cui-Na; Cui, Xin-Chun; Wang, Yan-Li; Zheng, Chun-Hou; Liu, Jin-Xing

NKUT: Dataset and Benchmark for Pediatric Mandibular Wisdom Teeth Segmentation
Zhou, Zhenhuan; Chen, Yuzhu; He, Along; Que, Xitao; Wang, Kai; Yao, Rui; Li, Tao

A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection
Zhu, Yanjie; Wang, Wenxin; Cui, Zhuo-Xu; Cheng, Guanxun; Cao, Chentao; Xu, Xi; Liu, Ziwei; Wang, Hongfei; Qi, Yulong; Liang, Dong

Automatic Delineation of the 3D Left Atrium from LGE-MRI: Actor-Critic based Detection and Semi-Supervised Segmentation
Xiang, Shun; Li, Nana; Wang, Yuanquan; Zhou, Shoujun; Wei, Jin; Li, Shuo

LA-ViT: A Network with Transformers Constrained by Learned-Parameter-Free Attention for Interpretable Grading in a New Laryngeal Histopathology Image Dataset
Huang, Pan; Xiao, Hualiang; He, Peng; Li, Chentao; Guo, Xiaodong; Tian, Sukun; Feng, Peng; Chen, Hu; Sun, Yuchun; mercaldo, francesco; Santone, Antonella; Qin, Jing

Adaptive Knowledge Distillation for High-Quality Unsupervised MRI Reconstruction with Model-Driven Priors
Wu, Zhengliang; Li, Xuesong

Radial Undersampled MRI Reconstruction Using Deep Learning with Mutual Constraints between Real and Imaginary Components of K-Space
Li, Zhaotong; Li, Sha; Zhang, Zeru; Wang, Fei; Wu, Fengliang; Gao, Song

The Use of Machine Learning in Eye Tracking Studies in Medical Imaging: A Review
Ibragimov, Bulat; Mello-Thoms, Claudia

DDT-Net: Dose-Agnostic Dual-Task Transfer Network for Simultaneous Low-Dose CT Denoising and Simulation
Ma, Jianhua; Meng, Mingqiang; Wang, Yongbo; Zhu, Manman; Tao, Xi; Mao, Zerui; Liao, Jingyi; Bian, Zhaoying; Zeng, Dong

Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection from Chest X-rays
Hasan, Taufiq; Zunaed, Mohammad; Haque, Md.

MAD-Former: A Traceable Interpretability Model for Alzheimers Disease Recognition based on Multi-patch Attention
Ye, Jiayu; Zeng, An; Pan, Dan; Zhang, Yiqun; Zhao, Jingliang; Chen, Qiuping; Liu, Yang

Dynamic Reconfiguration of Brain Functional Network in Stroke
Wu, kaichao; Jelfs, Beth; Neville, Katrina; Mahmoud, Seedahmed; He, Wenzhen; Fang, Qiang

RandStainNA++: Enhance Random Stain Augmentation and Normalization through Foreground and Background Differentiation
Wang, Chong; Li, Shuxin; Ke, Jing; Zhang, Chen; Shen, Yiqing

Medical Informatics

JBHI June - Effective Motion Self-Learning Genre Using 360° Virtual Reality Content on Mobile Device: A Study Based on Taichi Training Platform

Effective Motion Self-Learning Genre Using 360° Virtual Reality Content on Mobile Device: A Study Based on Taichi Training Platform
Wang, Lutong; Gai, Wei; Jiang, Nan; Chen, Gongxiang; Bian, Yulong; Luan, Hongqiu; Huang, Li; Yang, Chenglei

Computational Interpersonal Communication Model for Screening Autistic Toddlers: A Case Study of Response-to-Name
Nie, Wei; Zhou, Bingrui; Wang, Zhiyong; Chen, Bowen; Wang, Xinming; Hu, Chunchun; Li, Huiping; Xu, Qiong; Xu, Xiu; Liu, Honghai

SPReCHD: Four-chamber Semantic Parsing Network for Recognizing Fetal Congenital Heart Disease in Medical Metaverse
Qiao, Sibo; Pang, Shanchen; Sun, Yi; Luo, Gang; Yin, Wenjing; Zhao, Yawu; Pan, Silin; Lyu, Zhihan

Predicting ICU Interventions: A Transparent Decision Support Model Based on Multivariate Time Series Graph Convolutional Neural Network
Lang, Qin; Xu, Zhen; Guo, Jinjin; Xie, Yuntao; Xiao, Yao; Lin, Xinran; Li, Qiming; Li, Xinyang

Learning Robust Representation in Tonic-Clonic Seizures with Cyclic Transformer
Zhang, Jingwei; Swinnen, Lauren; Chatzichristos, Christos; Van Paesschen, Wim; De Vos, Maarten

Bioinformatics

JBHI June - PTransIPs: Identification of phosphorylation sites enhanced by protein PLM embeddings

PTransIPs: Identification of phosphorylation sites enhanced by protein PLM embeddings
Lu, Tianchi; Xu, Ziyang; Zhong, Haitian; He, Bingrui; Wang, Xueying

scDMAE: a generative denoising model adopted mask strategy for scRNA-seq data recovery
Liu, Wei ; Pan, Youze; Teng, Zhijie; Xu, Junlin

Modeling and AI Informatics

JBHI June: De-biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data

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
Bayta_, 0nci M.

Public Healthcare

Long-term Regional Influenza-like-illness Forecasting Using Exogenous Data
Papagiannopoulou, Eirini; Bossa, Matias; Deligiannis, Nikos; Sahli, Hichem

Explainable AI Based Biomedical Big Data Privacy and Security

JBHI June: DRL-Based URLLC-Constraint and Energy-Efficient Task Offloading for Internet of Health Things

DRL-Based URLLC-Constraint and Energy-Efficient Task Offloading for Internet of Health Things
Wu, Huaming; Wang, Yixiao; Jhaveri, Rutvij; Djenouri, Youcef

A Comprehensive Privacy-Preserving Federated Learning Scheme with Secure Authentication and Aggregation for Internet of Medical Things
Liu, Jingwei; Zhang, Jin; Jan, Mian; Sun, Rong; Liu, Lei; Verma, Sahil; CHATTERJEE, PUSPITA

A Scalable Federated Learning Approach for Collaborative Smart Healthcare System with Intermittent Clients using Medical Imaging
Zhao, Yue; Ullah, Farhan; Srivastava, Gautam; Xiao, Heng; Ullah, Shamsher; Lin, Jerry Chun-Wei

IoMT-based smart healthcare detection system driven by quantum blockchain and quantum neural network
Qu, Zhiguo; Shi, Wenke; Liu, Bo; Gupta, Deepak; Tiwari, Prayag

Federated Learning Approach for Secured Medical Recommendation in Internet of Medical Things using Homomorphic Encryption
Mantey, Eric Appiah; Zhou, Conghua; Anajemba, Joseph henry; Arthur, John Kingsley; Hamid, Yasir; Chowhan, Atif; Otuu, Obinna

Scoring Aided Federated Learning on Long-tailed Data for Wireless IoMT based Healthcare System
Zhang, Lianhong; Wu, Yuxin; Chen, Lunyuan; Fan, Lisheng; Nallanathan, Arumugam

A Two-stage Differential Privacy Scheme for Federated Learning Based on Edge Intelligence
Zhang, Li; Xu, Jianbo; Sivaraman, Audithan; Jegatha Deborah, L; Sharma, Pradip; Vijayakumar, Pandi

Correlation-Filter-Based Channel and Feature Selection Framework for Hybrid EEG-fNIRS BCI Applications
Zafar, Amad; Ali, Muhammad Umair; Kallu, Karam Dad; Masood, Haris; Mannan, Malik Muhammad Naeem; Ibrahim , Malik Muhammad ; Kim, Sangil; Khan, Muhammad

Quantum-Inspired Heuristic Algorithm for Secure Healthcare Prediction using Blockchain Technology
Mazumdar, Hirak; Chakraborty, Chinmay; Bojja, Satheesh; Kaushik, Ajeet; Gohel, Hardik

Smart Multimodal In-Bed Pose Estimation Framework Incorporating Generative Adversarial Neural Network
Singh, Sumit ; Anisi, Mohammad Hossein; Jindal, Anish; Jarchi, Delaram

Federated Fusion of Magnified Histopathological Images for Breast Tumor Classification in the Internet of Medical Things
HAQ, AMIN UL; Agbley, Bless Lord Y; Li, Jian Ping Li; Bankas, Edem; Mawuli, Cobbinah Bernard; Ahmad, Sultan; Khan, Shakir; Khan, Ahmad Raza

CLADSI: Deep Continual Learning for Alzheimers Disease Stage Identification using accelerometer data
Bringas, Santos; Duque, Rafael; Lage, Carmen; Montaña, José Luis

Explainable AI Based Biomedical Big Data Privacy and Security

JBHI June: Explainable Federated Medical Image Analysis through Causal Learning and Blockchain

Explainable Federated Medical Image Analysis through Causal Learning and Blockchain
Kadoch, Michel; Mu, Junsheng; Yuan, Tongtong; Lv, Wenzhe; Liu, Qiang; Li, Bohan

Privacy-Preserving Federated Learning with Domain Adaptation for Multi-Disease Ocular Disease Recognition
Tang, Zhiri; Wong, Hau San; Yu, Zekuan

A Novel Collaborative SRU Network with Dynamic Behaviour Aggregation, Reduced Communication Overhead and Explainable Features
Khan, Izhar Ahmed; Razzak, Imran; Pi, Dechang; Zia, Umar; Kamal, Shaharyar; Hussain, Yasir

A Secure and Interpretable AI for Smart Healthcare System: A Case Study on Epilepsy Diagnosis using EEG Signals
Ahmad, Ijaz; Zhu, Mingxing; Li, Guanglin; Javeed, Danish; Kumar, Prabhat; Chen, Shixiong

Channel Adaptive and Sparsity Personalized Federated Learning for Privacy Protection in Smart Healthcare Systems
Du, Jun; Chen, Ziqi; Hou, Xiangwang; Yu, Keping; Wang, Jintao; Han, Zhu

Explainable Reverse Verification of Goodness of Classification of MRI images by Clinical Experts
Bakshi, Sambit; Devi, Swagatika; Sahoo, Manmath Narayan 

An Access Control Scheme with Privacy-preserving Authentication and Flexible Revocation for Smart Healthcare
Liu, Yali; Liang, Xiyu; Ning, Jianting