IEEE Journal of Biomedical and Health Informatics

Noninvasive ventilation (NIV) has been recognized as a first-line treatment for respiratory failure in patients with chronic obstructive pulmonary disease (COPD) and hypercapnia respiratory failure, which can reduce mortality and burden of intubation. However, during the long-term NIV process, failure to respond to NIV may cause overtreatment or delayed intubation, which is associated with increased mortality or costs. Optimal strategies for switching regime in the course of NIV treatment remain to be explored. For the goal of reducing 28-day mortality of the patients undergoing NIV, Double Dueling Deep Q Network (D3QN) of offline-reinforcement learning algorithm was adopted to develop an optimal regime model for making treatment decisions of discontinuing ventilation, continuing NIV, or intubation. The model was trained and tested using the data from Multi-Parameter Intelligent Monitoring in Intensive Care III (MIMIC-III) and evaluated by the practical strategies. Furthermore, the applicability of the model in majority disease subgroups (Catalogued by International Classification of Diseases, ICD) was investigated. Compared with physician's strategies, the proposed model achieved a higher expected return score (4.25 vs. 2.68) and its recommended treatments reduced the expected mortality from 27.82% to 25.44% in all NIV cases. In particular, for these patients finally received intubation in practice, if the model also supported the regime, it would warn of switching to intubation 13.36 hours earlier than clinicians (8.64 vs. 22 hours after the NIV treatment), granting a 21.7% reduction in estimated mortality. In addition, the model was applicable across various disease groups with distinguished achievement in dealing with respiratory disorders. The proposed model is promising to dynamically provide personalized optimal NIV switching regime for patients undergoing NIV with the potential of improving treatment outcomes. 

https://ieeexplore.ieee.org/document/10122152

Analysis and Recognition of Voluntary Facial Expression Mimicry Based on Depressed Patients.

Ye, Jiayu; Yu, Yanhong; Fu, Gang; Zheng, Yunshao; Liu, Yang; Zhu, Yitao; Wang, Qingxiang.

https://ieeexplore.ieee.org/document/10080949

Remote Blood Oxygen Estimation From Videos Using Neural Networks.

Mathew, Joshua; Tian, Xin; Wong, Chau-Wai; Ho, Simon; Milton, Donald; Wu, Min.

https://ieeexplore.ieee.org/document/10016249

An Interpretable Deep Embedding Model for Few and Imbalanced Biomedical Data.

Wang, Haishuai; Li, Li; Ma, Jiali; Chi, Lianhua; Yang, Jianjun; Tao, Guangyu; Wu, Jun; Zhao, Ziping; Church, George.

https://ieeexplore.ieee.org/document/9956894

Physiologically-Informed Gaussian Processes for Interpretable Modelling of Psycho-Physiological States.

Ghiasi, Shadi; Patane, Andrea; Laurenti, Luca; Gentili, Claudio; Scilingo, Enzo Pasquale; Greco, Alberto; Kwiatkowska, Marta.

https://ieeexplore.ieee.org/document/9964090

Multi-scale Context aware Attention Model for Medical Image Segmentation.

Alam, Md. Shariful; Wang, Dadong; Liao, Qiyu; Sowmya, Arcot.

https://ieeexplore.ieee.org/document/9976188

Budget-based classification of Parkinson's disease from resting state EEG.

Suuronen, Ilkka; Airola, Antti; Pahikkala, Tapio; Murtojδrvi, Mika; Kaasinen, Valtteri; Railo, Henry.

https://ieeexplore.ieee.org/document/10011540

Domain agnostic post-processing for QRS detection using Recurrent Neural Network.

Habib, Ahsan; Karmakar, Chandan; Yearwood, John.

https://ieeexplore.ieee.org/document/10012567

Characterization of Synthetic Health Data Using Rule-Based Artificial Intelligence Models.

Lenatti, Marta; Paglialonga, Alessia; Orani, Vanessa; Ferretti, Melissa; Mongelli, Maurizio.

https://ieeexplore.ieee.org/document/10016704

Deep Hyperspherical Clustering for Skin Lesion Medical Image Segmentation.

Zhang, Zuowei; Ye, Songtao; Liu, Zechao; Wang, Hao; Ding, Weiping.

https://ieeexplore.ieee.org/document/10026862

Automatic Calcification Morphology and Distribution Classification for Breast Mammograms with Multi-task Graph Convolutional Neural Network.

Du, Hao; Yao, Melissa Min-Szu; Liu, Siqi; Chen, Liangyu; Chen, Wing P; Feng, Mengling.

https://ieeexplore.ieee.org/document/10053998

A Novel AUC Maximization Imbalanced Learning Approach for Predicting Composite Outcomes in COVID-19 Hospitalized Patients.

WANG, GUANJIN; Kwok, Stephen Wai Hang; Yousufuddin, Mohammed; Sohel, Ferdous.

https://ieeexplore.ieee.org/document/10135102

Becalm: Intelligent Monitoring of Respiratory Patients.

Recio-Garcia, Juan; Diaz-Agudo, Belen; Acuaviva-Huertos, Arturo.

https://ieeexplore.ieee.org/document/10124961

BCI control of a robotic arm based on SSVEP with moving stimuli for reach and grasp tasks.

Ai, Jikun; Meng, Jianjun; Mai, Ximing; Zhu, Xiangyang.

https://ieeexplore.ieee.org/document/10128977

Diversity and Suitability of the State-of-the-Art Wireless and Wearable EEG Systems Review.

He, Congying; Chen, Yu-Yi; Stevenson, Cory; Phang, Chun-Ren; Chen, I-Ping; Jung, Tzyy-Ping; Ko, Li-Wei.

https://ieeexplore.ieee.org/document/10025407

FGSQA-Net: A weakly supervised approach to fine-grained electrocardiogram signal quality assessment.

Liu, Hui; Gao, Tianlei; Liu, Zhaoyang; Shu, MingLei.

https://ieeexplore.ieee.org/document/10138349

Beyond Heart Murmur Detection: Automatic Murmur Grading from Phonocardiogram.

Elola, Andoni; Aramendi, Elisabete; Oliveira, Jorge; Renna, Francesco; Coimbra, Miguel; Reyna, Matthew; Sameni, Reza; Clifford, Gari D.; Rad, Ali.

https://ieeexplore.ieee.org/document/10122565

Multi-class Classification of Upper Limb Movements with Filter Bank Task-related Component Analysis.

Sun, Zhe; Jia, Hao; Feng, Fan; Caiafa, Cesar; Duan, Feng; Zhang, Yu; Solι-Casals, Jordi.

https://ieeexplore.ieee.org/document/10135081

An End-to-end Energy-efficient Approach for Intake Detection With Low Inference Time Using Wrist-worn Sensor.

Wei, Boyang; Zhang, Shibo; Gao, Yang; Xu, Qiuyang; Diao, Xingjian; Alshurafa, Nabil.

https://ieeexplore.ieee.org/document/10124956/

Real-Time Seismocardiogram Feature Extraction Using Adaptive Gaussian Mixture Models.

Lin, David; Gazi, Asim; Kimball, Jacob; Nikbakht, Mohammad; Inan, Omer.

https://ieeexplore.ieee.org/document/10120905

ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition.

Zhang, Lei; Cheng, Dongzhou; Bu, Can; Wang, Xing; Wu, Hao; Song, Aiguo.

https://ieeexplore.ieee.org/document/10122911/

Semi-Supervised Medical Image Segmentation with Voxel Stability and Reliability Constraints.

Xue, Jian; Zhao, Yang; Lv, Ke; Wang, Shuhua; Lu, Jian.

https://ieeexplore.ieee.org/document/10120761

M-CSAFN: Multi-color Space Adaptive Fusion Network for Automated Port-wine Stains Segmentation.

Mu, Jinrong; LIN, YUCONG; Meng, Xianqi; Fan, Jingfan; Ai, Danni; Chen, Defu; Qiu, Haixia; Yang, Jian; Gu, Ying.

https://ieeexplore.ieee.org/document/10049643

MedShift: Automated Identification of Shift Data for Medical Image Dataset Curation.

Guo, Xiaoyuan; Gichoya, Judy; Trivedi, Hari; Purkayastha, Saptarshi; Banerjee, Imon.

https://ieeexplore.ieee.org/document/10122959

Multi-level Constrained Intra and Inter Subject Feature Representation for Facial Video based BVP Signal Measurement.

Li, Bin; Zhang, Wei; Fu, Hong; Liu, Hao; XU, Feng.

https://ieeexplore.ieee.org/document/10132461

QOCT-Net: A Physics-Informed Neural Network for Intravascular Optical Coherence Tomography Attenuation Imaging.

Sun, Zheng; Shuyan, Wang; Hou, Yingsa; Sun, Meichen.

https://ieeexplore.ieee.org/document/10124992

Coarse-Refined Consistency Learning using Pixel-level Features for Semi-supervised Medical Image Segmentation.

Du, Jie; Zhang, Xiaoci; Liu, Peng; Wang, Tianfu.

https://ieeexplore.ieee.org/document/10131969/

A Medically Assisted Model for Precise Segmentation of Osteosarcoma Nuclei on Pathological Images.

WU, Jia; Yuan, Tingyu; Zeng, Jiachen; Gou, Fangfang.

https://ieeexplore.ieee.org/document/10130168

Contrastive Adversarial Learning for Endomicroscopy Imaging Super-Resolution.

Gu, Yun; Zhang, Chuyan; Yang, Guang-Zhong.

https://ieeexplore.ieee.org/document/10123945

Affinity Feature Strengthening for Accurate, Complete and Robust Vessel Segmentation.

Yang, Xin; Shi, Tianyi; Ding, Xiaohuan; Zhou, Wei; Pan, Feng; Yan, Zengqiang; Bai, Xiang.

https://ieeexplore.ieee.org/document/10122604

3D Domain Adaptive Instance Segmentation via Cyclic Segmentation GANs.

Lin, Zudi; Lauenburg, Leander; Zhang, Ruihan; Santos, Mαrcia dos; Huang, Siyu; Arganda-Carreras, Ignacio; Boyden, Edward S.; Pfister, Hanspeter; Wei, Donglai.

https://ieeexplore.ieee.org/document/10138543

FSTIF-UNet: a deep learning-based method towards automatic segmentation of intracranial aneurysms in un-reconstructed 3D-RA.

Zhang, Jianhua; Zhao, Yan; Liu, Xinke; Jiang, Jincheng; Li, Youxiang.

https://ieeexplore.ieee.org/document/10130280

Improving Alzheimer’s Disease Diagnosis with Multi-Modal PET Embedding Features by a 3D Multi-task MLP-Mixer Neural Network.

Zhang, Zi-Chao; Zhao, Xingzhong; Dong, Guiying; Zhao, Xing-Ming.

https://ieeexplore.ieee.org/document/10137746

AC-E Network: Attentive Context-Enhanced Network for Liver Segmentation.

Li, Yang; Zou, Beiji; Dai, Peishan; Liao, Miao; Bai, Harrison; Jiao, Zhicheng.

https://ieeexplore.ieee.org/document/10129805

Hybrid contextual semantic network for accurate segmentation and detection of small-size stroke lesions from MRI.

liu, liangliang; Chang, Jing; Liu, Zhihong; Zhang, Pei.

https://ieeexplore.ieee.org/document/10120919

MHL-Net: A Multistage Hierarchical Learning Network for Head and Neck Multiorgan Segmentation.

Peng, Yanjun; Wang, Jiao.

https://ieeexplore.ieee.org/document/10123919

Self-supervised Tumor Segmentation with Sim2Real Adaptation.

Zhang, Xiaoman; Xie, Weidi; Huang, Chaoqin; Zhang, Ya; Chen, Xin; Tian, Qi; Wang, Yanfeng.

https://ieeexplore.ieee.org/document/10032792

Exploring Contextual Relationships for Abnormal Cervical Cell Detection.

Liang, Yixiong; Feng, Shuo; Liu, Qing; Kuang, Hulin; Liu, Jianfeng; Liao, Liyan; Du, Yun; Wang, Jianxin.

https://ieeexplore.ieee.org/document/10124979

SpindlesTracker: An Automatic and Low-cost Labeled Workflow for Spindle Analysis.

Li, Zhongzhong; Jian, Yanze; Hu, Jiatong; Zhang, Chuanmin; Meng, Xuechun; Liu, Ji.

https://ieeexplore.ieee.org/document/10138572

Metadata and Image Features Co-Aware Personalized Federated Learning for Smart Healthcare.

Jin, Tong; Pan, Shujia; Li, Xue; Chen, Siguang.

https://ieeexplore.ieee.org/document/10131982

Reinforcement Learning Model for Managing Noninvasive Ventilation Switching Policy.

Feng, Xue; Wang, Daoyuan; Pan, Qing; Yan, Molei; Liu, Xiaoqing; Shen, Yanfei; Fang, Luping; Cai, Guolong; Ning, Gangmin.

https://ieeexplore.ieee.org/document/10122152

Explanations as a new metric for feature selection: a systematic approach.

Wang, Haomiao; Doumard, Emmanuel; Soulι-Dupuy, Chantal; Kιmoun, Philippe; Aligon, Julien; Monsarrat, Paul.

https://ieeexplore.ieee.org/document/10131972

Multi-scale Hybrid Vision Transformer for Learning Gastric Histology: AI-based Decision Support System for Gastric Cancer Treatment.

Oh, Yujin; Bae, Go Eun; Kim, Kyung-Hee; Yeo, Min-Kyung; Ye, Jong.

https://ieeexplore.ieee.org/document/10124975

Graph Self-supervised Learning with Application to Brain Networks Analysis.

Wen, Guangqi; Cao, Peng; Liu, Lingwen; Yang, Jinzhu; Zhang, Xizhe; Wang, Fei; Zaiane, Osmar.

https://ieeexplore.ieee.org/document/10122156

Multi-level Adversarial Spatio-temporal Learning for Footstep Pressure based FoG Detection.

Hu, Kun; MEI, Shaohui; Wang, Wei; Ehgoetz Martens, Kaylena; Wang, Liang; Lewis, Simon; Feng, Dagan; wang, zhiyong.

https://ieeexplore.ieee.org/document/10135077

A self-supervised framework for learning biological entities representation by fusing class information.

Li, Nan; Yang, Zhihao; Wang, Jian; Lin, Hongfei.

https://ieeexplore.ieee.org/document/10119152

Guest Editors

Dr Jianing Qiu, Imperial College London, [email protected] 

Dr Evangelos Mazomenos, University College London, [email protected] 

Prof Wu Yuan, The Chinese University of Hong Kong, [email protected] 

Prof Zaiqing Nie, Tsinghua University, [email protected] 

Sir Richard J. Roberts (Nobel Laureate), New England Biolabs, [email protected] 

Dr Benny Lo, Precision Robotics (Hong Kong) Ltd, [email protected]

Key Dates

Deadline for Submission: 01 Feb, 2024 

First Reviews Due: 01 Mar, 2024 

Revised Manuscript Due: 01 Apr, 2024 

Final Decision: 01 July, 2024

Guest Editors 

Yaoqi Yang, Army Engineering University, China, [email protected] 

Weizheng Wang, City University of Hong Kong, Hong Kong SAR, [email protected] 

Kapal Dev, Munster Technological University, Ireland, [email protected] 

Reddy Gadekallu, Chief Engineer, Zhongda Group, China, [email protected] 

Chih-Lin I (IEEE FELLOW), China Mobile Research Institute, China, [email protected]

Key Dates

Deadline for Submission: 31 Jul, 2023 

First Reviews Due: 05 Oct, 2023 

Revised Manuscript Due: 01 Jan, 2024 

Final Decision: 01 Apr, 2024

Healthcare Information Systems for Disease Monitoring and Management in Smart Cities

Guest Editors

Bernard Fong, Providence University, [email protected] 

Amit Kumar Singh, National Institute of Technology Patna, [email protected] 

Aris Gkoulalas-Divanis, IBM Watson Health, [email protected] 

Loi Lei Lai, Guangdong University of Technology, [email protected]

Key Dates 

Deadline for Submission: 29 Feb, 2024 

First Reviews Due: 31 Mar, 2024 

Revised Manuscript Due: 30 Apr, 2024 

Final Decision: 31 May, 2024

Pervasive Informatics for Healthcare

Guest Editors 

Dario Salvi, Associate Professor, Malmö University, [email protected] 

Giuseppe Fico, Assistant Professor, Universidad Politécnica de Madrid, Spain, [email protected] 

Pieter Van Gorp, Associate Professor, Eindhoven University of Technology, The Netherlands, [email protected] 

Syed Ahmar Shah, Senior Research Fellow (Associate Professor), The University of Edinburgh, United Kingdom, [email protected]

Key Dates 

Deadline for Submission: 1 June, 2024 

First Reviews Due: 5 July, 2024 

Revised Manuscript Due: 7 August, 2024

Final Decision: 30 September, 2024

Trustworthy Machine Learning for Health Informatics

Guest Editors 

Dr. Hao Chen, The Hong Kong University of Science and Technology, Hong Kong, China, [email protected]

Dr. Daguang Xu, AI-Infra, NVIDIA, USA Dr. Luyang Luo, [email protected] The Hong Kong University of Science and Technology, Hong Kong, China, [email protected]

Prof. Jing Qin (Harry), The Hong Kong Polytechnic University, Hong Kong, China, [email protected]

Dr. Yueming Jin, National University of Singapore, Singapore, [email protected]

Key Dates 

Deadline for Submission: 1 September, 2023 

First Reviews Due: 1 November, 2023 

Revised Manuscript Due: 1 January, 2024 

Final Decision: 1 March, 2024

The Recent Advances in Social Network Analysis for Personality Development

Guest Editor

Dr.Asefeh Asemi (Lead Guest Editor) Professor, Doctoral School of Economics, Business, & Informatics, Corvinus University of Budapest, Budapest, Hungary.  [email protected].

Dr. Ishaani Priyadarshini (Co- Guest Editor) Assistant professor, School of Information, University of California, Berkeley, [email protected] 

Dr. Abu Bakar Munir (Co- Guest Editor) Professor, Faculty of Law, University of Malaya, Kuala Lumpur, Malaysia, [email protected]

Dr. Shamsollah Ghanbari, (Co- Guest Editor) Assist Professor, Department of Computer Science, Islamic Azad University, Ashtian Branch, Ashtian, Iran, [email protected]

Key Dates

Deadline for Submission: 16th August 2023 

First Reviews Due: 20th October 2023 

Revised Manuscript Due: 30th December 2023 

Final Decision: 25th February 2024

Multi-Model Joint Learning in Healthcare Imaging

Guest Editors

Dr. Tao Tan, Macao Polytechnic University, Macao SAR, China, [email protected] 

Dr. Zhang Li, National University of Defense Technology, China, [email protected] 

Dr. Yue Sun, Eindhoven University of Technology, Netherlands, [email protected] 

Dr. Dwarikanath Mahapatra, Inception Institute of AI, United Arab Emirates, [email protected] 

Dr. Shandong Wu, University of Pittsburgh, USA, [email protected] 

Key Dates

Deadline for Submission: 15 Oct, 2023 

First Reviews Due: 20 Nov, 2023 

Revised Manuscript Due: 30 Dec, 2023 

Final Decision: 15 Feb, 2024

Enabling Healthcare AI and Informatics by Energy-Efficient Network Design and Protocols for 5G

Guest Editors

Dr. Mohammad Shabaz - Model Institute of Engineering and Technology, Jammu, J&K, India - [email protected] 

Dr. Shah Nazir - University of Swabi, Swabi, Pakistan - [email protected] 

Dr. Jude Hemanth - Karunya University, Coimbatore, India [email protected] 

Dr. Abolfazl Mehbodniya - Kuwait College of Science and Technology (KCST), Doha, Kuwait - [email protected]

Key Dates

Deadline for Submission: 30 October 2023 

First Reviews Due: 30 November 2023 

Revised Manuscript Due: 30 December 2023 

Final Decision: 30 January 2024

Application of Computational Techniques in Drug Discovery and Disease Treatment

Guest Editors

Prof. Xing Chen, Jiangnan University, China China University of Mining and Technology, China, [email protected]

Prof. Qi Zhao,University of Science and Technology Liaoning, China, [email protected]

Key Dates 

Deadline for Submission: 30 September, 2023 

First Reviews Due: 30 October, 2023 

Revised Manuscript Due: 30 November, 2023 

Final Decision: 30 December, 2023

Machine Learning Technologies for Biomedical Signal Processing

Guest Editors

Aceng Sambas, Universitas Muhammadiyah Tasikmalaya, Indonesia, [email protected]

Sundarapandian Vaidyanathan, Vel Tech University, India, [email protected] 

Azwa Abdul Aziz, Universiti Sultan Zainal Abidin, Malaysia, [email protected]

Key Dates 

Deadline for Submission: 30 Sep, 2023 

First Reviews Due: 5 Dec, 2023 

Revised Manuscript Due: 10 Feb, 2024 

Final Decision: 25 April, 2024

Applications of Intelligent Environments to Health

Guest Editors

Adeli, Ehsan; Stanford University, USA, [email protected] 

Choukou, Amine; University of Manitoba, Canada, [email protected] 

Hornos, Miguel J.; University of Granada, Spain, [email protected] 

Zamudio, Victor M.; Leon Institute of Technology, Mexico, [email protected]

Key Dates

Deadline for Submission: 30 September 2023 

First Reviews Due: 5 November 2023 

Revised Manuscript Due: 15 December 2023 

Final Decision: 25 January 2024

Deep Learning in Intrusion Detection of Cyberattacks for E-Health Applications

Guest Editors

Gitanjali Jayaraman, VIT University, [email protected] 

Cristiano André da Costa, Universidade do Vale do Rio dos Sinos, [email protected] 

S. Manimurugan, University of Tabuk, [email protected] 

Emmanuel Gbenga Dada, University of Maiduguri, [email protected] 

George Drosatos, Athena Research Centre, [email protected]

Key Dates

Deadline for Submission: 25 Sep, 2023 

First Reviews Due: 01 Nov, 2023 

Revised Manuscript Due: 15 Dec, 2023 

Final Decision: 15 Jan, 2024

Recent Technologies in IoT for E-Health Applications

Guest Editors

Dr. Chi Lin, Dalian University of Technology, Dalian, China, [email protected] 

Dr. Chang Wu Yu, Chung Hua University, Hsinchu, Taiwan, [email protected] 

Dr. Ning Wang, Rowan University, Glassboro, New Jersey, USA, [email protected] 

Dr. Syed Hassan Ahmed, JMA Wireless, USA, [email protected]

Key Dates

Deadline for Submission: 25 Oct, 2023 

First Reviews Due: 05 Dec, 2023 

Revised Manuscript Due: 15 Feb, 2024 

Final Decision: 27 Apr, 2024

New Frontiers in Trusted Cyber-Physical Systems for Biomedical Applications

Guest Editors

Dr. Manjit Kaur Gwangju Institute of Science and Technology, South Korea, [email protected] 

Prof. (Dr.) Moi Hoon Yap, Manchester Metropolitan, University, UK, [email protected] 

Dr. Manu Goyal, UT Southwestern Medical Center, USA, [email protected] 

Prof. (Dr.) Heung-No Lee, Gwangju Institute of Science and Technology, South Korea, [email protected]

Key Dates 

Deadline for Submission: 15 August, 2023 

First Reviews Due: 15 September, 2023 

Revised Manuscript Due: 30 October, 2023 

Final Decision: 30 December, 2023

Artificial Intelligence and Internet of Medical Things (AI-IoMT)

Guest Editors

Dr. Abdellah Chehri, Université du Québec à Chicoutimi, Canada, [email protected] 

Dr. Xiaochun Cheng, Middlesex University London, UK, [email protected] 

Dr. Giancarlo Fortino, University of Calabria, Italy, [email protected] 

Dr. Gwanggil Jeon, Incheon National University, South Korea, [email protected]

Key Dates

Deadline for Submission: 31 Aug, 2023 

First Reviews Due: 05 Oct, 2023 

Revised Manuscript Due: 05 Nov, 2023 

Final Decision: 05 Dec, 2023

XAI Based Biomedical Big Data Privacy and Security

Guest Editors

Jiachen Yang, Tianjin University, China, [email protected] 

Houbing Song, Embry-Riddle Aeronautical University, USA, [email protected] 

Muhammad Khurram Khan, King Saud University, Saudi Arabia, [email protected]

Key Dates

Deadline for Submission: 30 September, 2023 

First Reviews Due: 31 October, 2023 

Revised Manuscript Due: 30 November, 2023 

Final Decision: 31 December, 2023

Distributed Big Data Intelligence in Instantaneous E-healthcare Services

Guest Editors

Dr. Anand Paul, Kyungpook National University, South Korea, [email protected] 

Dr. Naveen Chilamkurti, La Trobe University, Melbourne, Australia, [email protected] 

Dr. Awais Ahmad, Università Degli Studi di Milano, Milan, Italy, [email protected] 

Dr. Syed Hassan Ahmed, California State University, Fullerton, CA, USA, [email protected]

Key Dates

Deadline for Submission: 30.09.2022 

First Reviews Due: 10.12.2022 

Revised Manuscript Due: 01.02.2023 

Final Decision: 12.06.2023

Smart Sensing for Cardiac Health Monitoring and Heart Attack Prevention

Guest Editors
Kelvin K.L. Wong, University of Adelaide, [email protected]
Chris Zhang, University of Saskatchewan, [email protected]
Zhili Sun, University of Surrey, [email protected]

Key Dates

Deadline for Submission: 31 Aug, 2023
First Reviews Due: 05 Oct, 2023
Revised Manuscript Due: 05 Nov, 2023
Final Decision: 05 Dec, 2023

Artificial Intelligence-Driven Biomedical Imaging Systems for Precision Diagnostic Applications

Guest Editors

Dr. Amit Kumar Singh (Associate Editor, JBHI), National Institute of Technology Patna, India, [email protected]

Dr. Robertas Damaševičius, Silesian University of Technology, Poland, [email protected]

Dr. Vijay Kumar, National Institute of Technology, Hamirpur, India, [email protected]

Key Dates

Submission deadline: August 1st, 2022

First reviews due: October 30th, 2022

Revised manuscript due: December 30th, 2022

Final decision: February 10th, 2022

Camera ready version: March 10th, 2022

Trustworthy and Collaborative AI for Personalized Healthcare Through Edge-of-Things

Guest Editors
Zhao Ren, Leibniz Universität Hannover, Germany, [email protected]
Björn W. Schuller, Imperial College London, UK & Universität Augsburg, Germany, [email protected]
Björn M. Eskofier, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany, [email protected]
Tam Nguyen, Griffith University, Australia, [email protected]
Wolfgang Nejdl, Leibniz Universität Hannover, Germany, [email protected]

Key Dates
Deadline for Submission: 31 Oct, 2022
First Reviews Due: 08 Dec, 2022
Revised Manuscript Due: 31 Jan, 2023
Final Decision: 1 March, 2023

Interpretable Deep learning (IDL) in Co-Clinical Non-invasive Radiological Image

Guest Editors
Sudipta Roy, Jio Institute, [email protected]; [email protected]
Tai hoon Kim, Beijing Jiaotong University, [email protected]

Key Dates

Deadline for Submission: 31 Oct, 2022
First Reviews Due: 05 Dec, 2022
Revised Manuscript Due: 01 Jan, 2023
Final Decision: 01 Feb, 2023

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