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ORCIDIEEE Journal of Biomedical and Health Informatics, Volume 24
Volume 24, Number 1, January 2020
- Marco Viceconti
, Miguel A. Juárez, Cristina Curreli, Marzio Pennisi, Giulia Russo, Francesco Pappalardo:
Credibility of In Silico Trial Technologies - A Theoretical Framing. 4-13 - Inês Domingues, Henning Müller, Andrés Ortiz, Belur V. Dasarathy, Pedro H. Abreu, Vince D. Calhoun:
Guest Editorial: Information Fusion for Medical Data: Early, Late, and Deep Fusion Methods for Multimodal Data. 14-16 - Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Diego Castillo-Barnes:
Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders. 17-26 - Vahid Farrahi, Maisa Niemelä, Petra Tjurin, Maarit Kangas, Raija Korpelainen, Timo Jämsä:
Evaluating and Enhancing the Generalization Performance of Machine Learning Models for Physical Activity Intensity Prediction From Raw Acceleration Data. 27-38 - Fei Gao, Teresa Wu, Xianghua Chu, Hyunsoo Yoon, Yanzhe Xu, Bhavika Patel:
Deep Residual Inception Encoder-Decoder Network for Medical Imaging Synthesis. 39-49 - Joana Silva, Inês Sousa, Jaime S. Cardoso:
Fusion of Clinical, Self-Reported, and Multisensor Data for Predicting Falls. 50-56 - Ning Liu, Cheng-Bang Chen, Soundar R. T. Kumara:
Semi-Supervised Learning Algorithm for Identifying High-Priority Drug-Drug Interactions Through Adverse Event Reports. 57-68 - Yang Yao, Zahra Ghasemi, Md. Mobashir Hasan Shandhi, Hazar Ashouri, Lisheng Xu, Ramakrishna Mukkamala, Omer T. Inan, Jin-Oh Hahn:
Mitigation of Instrument-Dependent Variability in Ballistocardiogram Morphology: Case Study on Force Plate and Customized Weighing Scale. 69-78 - Fen Miao, Zeng-Ding Liu, Jikui Liu, Bo Wen, Qingyun He, Ye Li:
Multi-Sensor Fusion Approach for Cuff-Less Blood Pressure Measurement. 79-91 - A. S. Anusha, Sukumaran P., Sarveswaran V., Surees Kumar S., Shyam A, Tony J. Akl, Preejith Sreeletha Premkumar, Mohanasankar Sivaprakasam:
Electrodermal Activity Based Pre-surgery Stress Detection Using a Wrist Wearable. 92-100 - Georges Matar, Jean-Marc Lina, Georges Kaddoum:
Artificial Neural Network for in-Bed Posture Classification Using Bed-Sheet Pressure Sensors. 101-110 - Somayeh Aghanavesi, Filip Bergquist, Dag Nyholm, Marina Senek, Mevludin Memedi:
Motion Sensor-Based Assessment of Parkinson's Disease Motor Symptoms During Leg Agility Tests: Results From Levodopa Challenge. 111-119 - Mariachiara Ricci, Giulia Di Lazzaro, Antonio Pisani, Nicola B. Mercuri, Franco Giannini, Giovanni Saggio:
Assessment of Motor Impairments in Early Untreated Parkinson's Disease Patients: The Wearable Electronics Impact. 120-130 - Cuijuan Shang, Chih-Yung Chang, Guilin Chen, Shenghui Zhao, Jiazao Lin:
Implicit Irregularity Detection Using Unsupervised Learning on Daily Behaviors. 131-143 - Matthew Martinez, Phillip L. De Leon:
Falls Risk Classification of Older Adults Using Deep Neural Networks and Transfer Learning. 144-150 - Tijana Sustersic, Vesna Rankovic, Miodrag Peulic, Aleksandar Peulic:
An Early Disc Herniation Identification System for Advancement in the Standard Medical Screening Procedure Based on Bayes Theorem. 151-159 - Qian Huang, Wei Li, Baochang Zhang, Qingli Li, Ran Tao, Nigel H. Lovell:
Blood Cell Classification Based on Hyperspectral Imaging With Modulated Gabor and CNN. 160-170 - Ya Zhang, Ao Li, Jie He, Minghui Wang:
A Novel MKL Method for GBM Prognosis Prediction by Integrating Histopathological Image and Multi-Omics Data. 171-179 - Hemin Ali Qadir, Ilangko Balasingham, Johannes Solhusvik, Jacob Bergsland, Lars Aabakken, Younghak Shin:
Improving Automatic Polyp Detection Using CNN by Exploiting Temporal Dependency in Colonoscopy Video. 180-193 - Zhiguo Zhou, Shulong Li, Genggeng Qin, Michael Folkert, Steve B. Jiang, Jing Wang:
Multi-Objective-Based Radiomic Feature Selection for Lesion Malignancy Classification. 194-204 - Yao Lu, James K. Hahn, Xiaoke Zhang:
3D Shape-Based Body Composition Inference Model Using a Bayesian Network. 205-213 - Dan Hu, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen:
Hierarchical Rough-to-Fine Model for Infant Age Prediction Based on Cortical Features. 214-225 - Rossana Terracciano, Alessandro Sanginario, Simona Barbero, Davide Putignano, Lorenzo Canavese, Danilo Demarchi:
Pattern-Reversal Visual Evoked Potential on Smart Glasses. 226-234 - Michele Bernardini, Luca Romeo, Paolo Misericordia, Emanuele Frontoni:
Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine. 235-246 - Malgorzata Kretowska:
Oblique Survival Trees in Discrete Event Time Analysis. 247-258 - Charrise Mary Ramkissoon, Arthur Bertachi, Aleix Beneyto, Jorge Bondia, Josep Vehí:
Detection and Control of Unannounced Exercise in the Artificial Pancreas Without Additional Physiological Signals. 259-267 - Silvia Macis, Daniela Loi, Andrea Ulgheri, Danilo Pani, Giuliana Solinas, Serena La Manna, Vincenzo Cestone, Davide Guerri, Luigi Raffo:
Design and Usability Assessment of a Multi-Device SOA-Based Telecare Framework for the Elderly. 268-279 - Amr Elkholy, Mohamed E. Hussein, Walid Gomaa, Dima Damen, Emmanuel Saba:
Efficient and Robust Skeleton-Based Quality Assessment and Abnormality Detection in Human Action Performance. 280-291 - Jiahui Huang, Shuisheng Lin, Ning Wang, Guanghai Dai, Yuxiang Xie, Jun Zhou:
TSE-CNN: A Two-Stage End-to-End CNN for Human Activity Recognition. 292-299 - Zixing Zhang, Jing Han, Kun Qian, Christoph Janott, Yanan Guo, Björn W. Schuller:
Snore-GANs: Improving Automatic Snore Sound Classification With Synthesized Data. 300-310 - Shankai Yan, Ka-Chun Wong:
GESgnExt: Gene Expression Signature Extraction and Meta-Analysis on Gene Expression Omnibus. 311-318 - Cecilia Saint-Pierre, Florencia Prieto, Valeria Herskovic, Marcos Sepúlveda:
Team Collaboration Networks and Multidisciplinarity in Diabetes Care: Implications for Patient Outcomes. 319-329
Volume 24, Number 2, February 2020
- Ehsan Adeli-Mosabbeb, S. H. Rekik, Sang Hyun Park, Dinggang Shen:
Editorial: Predictive Intelligence in Biomedical and Health Informatics. 333-335 - Peyman Hosseinzadeh Kassani, Alexej Gossmann, Yu-Ping Wang:
Multimodal Sparse Classifier for Adolescent Brain Age Prediction. 336-344 - Hui Yang, Peter A. Bath:
The Use of Data Mining Methods for the Prediction of Dementia: Evidence From the English Longitudinal Study of Aging. 345-353 - Jing Teng, Assem Abdygametova, Jing Du, Bian Ma, Rong Zhou, Yu Shyr, Fei Ye:
Bayesian Inference of Lymph Node Ratio Estimation and Survival Prognosis for Breast Cancer Patients. 354-364 - Adrià Casamitjana, Paula M. Petrone, José Luis Molinuevo, Juan Domingo Gispert, Verónica Vilaplana:
Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer's Disease: A Predictive Study. 365-376 - Xuetong Xue, Ying Wang, Jie Li, Zhicheng Jiao, Ziqi Ren, Xinbo Gao:
Progressive Sub-Band Residual-Learning Network for MR Image Super Resolution. 377-386 - Rebeen Ali Hamad, Alberto Salguero Hidalgo, Mohamed-Rafik Bouguelia, Macarena Espinilla Estévez, Javier Medina Quero:
Efficient Activity Recognition in Smart Homes Using Delayed Fuzzy Temporal Windows on Binary Sensors. 387-395 - Hennadii Madan, Rok Berlot, Nicola J. Ray, Franjo Pernus, Ziga Spiclin:
Practical Priors for Bayesian Inference of Latent Biomarkers. 396-406 - Amin Jalali, Minho Lee:
Atrial Fibrillation Prediction With Residual Network Using Sensitivity and Orthogonality Constraints. 407-413 - Kezhi Li, Chengyuan Liu, Taiyu Zhu, Pau Herrero, Pantelis Georgiou:
GluNet: A Deep Learning Framework for Accurate Glucose Forecasting. 414-423 - Daniel Jarrett, Jinsung Yoon, Mihaela van der Schaar:
Dynamic Prediction in Clinical Survival Analysis Using Temporal Convolutional Networks. 424-436 - Farah E. Shamout, Tingting Zhu, Pulkit Sharma, Peter J. Watkinson, David A. Clifton:
Deep Interpretable Early Warning System for the Detection of Clinical Deterioration. 437-446 - Kaiye Yu, Xiaolei Xie:
Predicting Hospital Readmission: A Joint Ensemble-Learning Model. 447-456 - Hengtao Guo, Uwe Kruger, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Knowledge-Based Analysis for Mortality Prediction From CT Images. 457-464 - Yuan Zhang, Yao Guo, Po Yang, Wei Chen, Benny Lo:
Epilepsy Seizure Prediction on EEG Using Common Spatial Pattern and Convolutional Neural Network. 465-474 - Hongyu Wang, Haozhe Jia, Le Lu, Yong Xia:
Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography. 475-485 - Ruoxi Yu, Yali Zheng, Ruikai Zhang, Yuqi Jiang, Carmen C. Y. Poon:
Using a Multi-Task Recurrent Neural Network With Attention Mechanisms to Predict Hospital Mortality of Patients. 486-492 - Yunlong He, Wanzhen Jiao, Yunfeng Shi, Jian Lian, Bojun Zhao, Wei Zou, Yuemin Zhu, Yuanjie Zheng:
Segmenting Diabetic Retinopathy Lesions in Multispectral Images Using Low-Dimensional Spatial-Spectral Matrix Representation. 493-502 - Wenhan Liu, Fei Wang, Qijun Huang, Sheng Chang, Hao Wang, Jin He:
MFB-CBRNN: A Hybrid Network for MI Detection Using 12-Lead ECGs. 503-514 - Saeed Saadatnejad, Mohammadhosein Oveisi, Matin Hashemi:
LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices. 515-523 - José Clemente, Fangyu Li, Maria Valero, WenZhan Song:
Smart Seismic Sensing for Indoor Fall Detection, Location, and Notification. 524-532 - Jing Liu, Charles G. Sodini, Yanghui Ou, Bryan P. Yan, Yuan-Ting Zhang, Ni Zhao:
Feasibility of Fingertip Oscillometric Blood Pressure Measurement: Model-Based Analysis and Experimental Validation. 533-542 - Morteza Zabihi, Serkan Kiranyaz, Ville Jäntti, Tarmo Lipping, Moncef Gabbouj:
Patient-Specific Seizure Detection Using Nonlinear Dynamics and Nullclines. 543-555 - Xi Xu, Linglin Zhang, Jianqiang Li, Yu Guan, Li Zhang:
A Hybrid Global-Local Representation CNN Model for Automatic Cataract Grading. 556-567 - Steven Guan, Amir A. Khan, Siddhartha Sikdar, Parag V. Chitnis:
Fully Dense UNet for 2-D Sparse Photoacoustic Tomography Artifact Removal. 568-576 - Yasmeen M. George, Mohammad Aldeen, Rahil Garnavi:
Automatic Scale Severity Assessment Method in Psoriasis Skin Images Using Local Descriptors. 577-585 - Clarisse F. de Vries, Roger T. Staff, Gordon D. Waiter, Moses O. Sokunbi, Anca-Larisa Sandu, Alison D. Murray:
Motion During Acquisition is Associated With fMRI Brain Entropy. 586-593 - Konstanze Kölle, Torben Biester, Sverre Christiansen, Anders Lyngvi Fougner, Øyvind Stavdahl:
Pattern Recognition Reveals Characteristic Postprandial Glucose Changes: Non-Individualized Meal Detection in Diabetes Mellitus Type 1. 594-602 - Kezhi Li, John Daniels, Chengyuan Liu, Pau Herrero, Pantelis Georgiou:
Convolutional Recurrent Neural Networks for Glucose Prediction. 603-613 - Biao Xue, Boya Deng, Hong Hong, Zhiyong Wang, Xiaohua Zhu, David Dagan Feng:
Non-Contact Sleep Stage Detection Using Canonical Correlation Analysis of Respiratory Sound. 614-625 - Chu Pan, Jiawei Luo, Jiao Zhang:
Computational Identification of RNA-Seq Based miRNA-Mediated Prognostic Modules in Cancer. 626-633
Volume 24, Number 3, March 2020
- Wenwen He, Yalan Ye, Li Lu, Yunfei Cheng, Yunxia Li, Zhengning Wang:
Robust Heart Rate Monitoring for Quasi-Periodic Motions by Wrist-Type PPG Signals. 636-648 - Tânia Pereira, Kais Gadhoumi, Mitchell Ma, Xiuyun Liu, Ran Xiao, Rene Colorado, Kevin J. Keenan, Karl Meisel, Xiao Hu:
A Supervised Approach to Robust Photoplethysmography Quality Assessment. 649-657 - Abolfazl Soltani, Hooman Dejnabadi, Martin Savary, Kamiar Aminian:
Real-World Gait Speed Estimation Using Wrist Sensor: A Personalized Approach. 658-668 - Dharmendra Gurve, Sridhar Krishnan:
Separation of Fetal-ECG From Single-Channel Abdominal ECG Using Activation Scaled Non-Negative Matrix Factorization. 669-680 - Rohan Joshi, Deedee Kommers, Laurien Oosterwijk, Loe M. G. Feijs, Carola van Pul, Peter Andriessen:
Predicting Neonatal Sepsis Using Features of Heart Rate Variability, Respiratory Characteristics, and ECG-Derived Estimates of Infant Motion. 681-692 - David Adolfo Sampedro-Puente, Jesus Fernandez-Bes, László Virág, András Varró, Esther Pueyo:
Data-Driven Identification of Stochastic Model Parameters and State Variables: Application to the Study of Cardiac Beat-to-Beat Variability. 693-704 - Fuad Noman, Sh-Hussain Salleh, Chee-Ming Ting, S. Balqis Samdin, Hernando C. Ombao, Hadri Hussain:
A Markov-Switching Model Approach to Heart Sound Segmentation and Classification. 705-716 - Sean Shensheng Xu, Man-Wai Mak, Chi-Chung Cheung:
I-Vector-Based Patient Adaptation of Deep Neural Networks for Automatic Heartbeat Classification. 717-727 - Luisa Santiago C. B. da Silva, Flavia Maria G. S. Oliveira:
CRSIDLab: A Toolbox for Multivariate Autonomic Nervous System Analysis Using Cardiorespiratory Identification. 728-734 - Jolanda Witteveen, Paruthi Pradhapan, Vojkan Mihajlovic:
Comparison of a Pragmatic and Regression Approach for Wearable EEG Signal Quality Assessment. 735-746 - Mathangi Sridharan, John Bigham, Paul Michael Campbell, Chris I. Phillips, Eliane L. Bodanese:
Inferring Micro-Activities Using Wearable Sensing for ADL Recognition of Home-Care Patients. 747-759 - Chenyun Dai, Xiaogang Hu:
Finger Joint Angle Estimation Based on Motoneuron Discharge Activities. 760-767 - Jason Coult, Jennifer Blackwood, Thomas D. Rea, Peter J. Kudenchuk, Heemun Kwok:
A Method to Detect Presence of Chest Compressions During Resuscitation Using Transthoracic Impedance. 768-774 - Xiaopei Wu, Bangyan Zhou, Zhao Lv, Chao Zhang:
To Explore the Potentials of Independent Component Analysis in Brain-Computer Interface of Motor Imagery. 775-787 - Dogancan Temel, Melvin J. Mathew, Ghassan AlRegib, Yousuf M. Khalifa:
Relative Afferent Pupillary Defect Screening Through Transfer Learning. 788-795 - Øyvind Meinich-Bache, Kjersti Engan, Ivar Austvoll, Trygve Eftestøl, Helge Myklebust, Ladislaus Blacy Yarrot, Hussein Kidanto, Hege Ersdal:
Object Detection During Newborn Resuscitation Activities. 796-803 - Haifeng Wu, Mingzhi Lu, Yu Zeng:
State Estimation of Hemodynamic Model for fMRI Under Confounds: SSM Method. 804-814 - Sahar Harati, Andrea Crowell, Yijian Huang, Helen S. Mayberg, Shamim Nemati:
Classifying Depression Severity in Recovery From Major Depressive Disorder via Dynamic Facial Features. 815-824 - Hakim C. Achterberg, Johan J. de Rooi, Meike W. Vernooij, Mohammad Arfan Ikram, Wiro J. Niessen, Paul H. C. Eilers, Marleen de Bruijne:
Spatially Regularized Shape Analysis of the Hippocampus Using P-Spline Based Shape Regression. 825-834 - Arso M. Vukicevic, Nenad Filipovic, Vera Milic, Alen Zabotti, Alojzija Hocevar, Orazio De Lucia, Georgios Filippou, Alejandro F. Frangi, Athanasios G. Tzioufas, Salvatore de Vita:
Radiomics-Based Assessment of Primary Sjögren's Syndrome From Salivary Gland Ultrasonography Images. 835-843 - Zijie Yue, Shuai Ding, Weidong Zhao, Hao Wang, Jie Ma, Youtao Zhang, Yanchun Zhang:
Automatic CIN Grades Prediction of Sequential Cervigram Image Using LSTM With Multistate CNN Features. 844-854 - Xin Yang, Yi Lin, Zhiwei Wang, Xin Li, Kwang-Ting Cheng:
Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks. 855-865 - Estefanía Talavera, Maria Leyva-Vallina, Md. Mostafa Kamal Sarker, Domenec Puig, Nicolai Petkov, Petia Radeva:
Hierarchical Approach to Classify Food Scenes in Egocentric Photo-Streams. 866-877 - Yiwen Meng, William Speier, Chrisandra Shufelt, Sandy Joung, Jennifer E. Van Eyk, C. Noel Bairey Merz, Mayra Lopez, Brennan Spiegel, Corey W. Arnold:
A Machine Learning Approach to Classifying Self-Reported Health Status in a Cohort of Patients With Heart Disease Using Activity Tracker Data. 878-884 - Hsin-Yu Lai, Gladynel Saavedra-Peña, Charles G. Sodini, Vivienne Sze, Thomas Heldt:
Measuring Saccade Latency Using Smartphone Cameras. 885-897 - Lizheng Liu, Jiawei Xu, Yuxiang Huan, Zhuo Zou, Shih-Ching Yeh, Lirong Zheng:
A Smart Dental Health-IoT Platform Based on Intelligent Hardware, Deep Learning, and Mobile Terminal. 898-906 - Maria Fernandes, Jérémie Decouchant, Marcus Völp, Francisco M. Couto, Paulo Jorge Esteves Veríssimo:
DNA-SeAl: Sensitivity Levels to Optimize the Performance of Privacy-Preserving DNA Alignment. 907-915 - Alexander New, Kristin P. Bennett:
A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models. 916-925
Volume 24, Number 4, April 2020
- Caifeng Shan, Tao Tan, Shandong Wu, Julia A. Schnabel:
Guest Editorial: Deep Learning in Ultrasound Imaging. 929-930 - Jinbao Dong, Shengfeng Liu, Yimei Liao, Huaxuan Wen, Baiying Lei, Shengli Li, Tianfu Wang:
A Generic Quality Control Framework for Fetal Ultrasound Cardiac Four-Chamber Planes. 931-942 - Zixia Zhou, Yuanyuan Wang, Yi Guo, Xinming Jiang, Yanxing Qi:
Ultrafast Plane Wave Imaging With Line-Scan-Quality Using an Ultrasound-Transfer Generative Adversarial Network. 943-956 - Ruud J. G. van Sloun, Libertario Demi:
Localizing B-Lines in Lung Ultrasonography by Weakly Supervised Deep Learning, In-Vivo Results. 957-964 - Siyuan Zhang, Shan Wu, Shaoqiang Shang, Xuewei Qin, Xin Jia, Dapeng Li, Zhiwei Cui, Tianqi Xu, Gang Niu, Ayache Bouakaz, Mingxi Wan:
Detection and Monitoring of Thermal Lesions Induced by Microwave Ablation Using Ultrasound Imaging and Convolutional Neural Networks. 965-973 - Haoming Li, Jinghui Fang, Shengfeng Liu, Xiaowen Liang, Xin Yang, Zixin Mai, Manh The Van, Tianfu Wang, Zhiyi Chen, Dong Ni:
CR-Unet: A Composite Network for Ovary and Follicle Segmentation in Ultrasound Images. 974-983 - Wen-Xuan Liao, Ping He, Jin Hao, Xuan-Yu Wang, Ruo-Lin Yang, Dong An, Li-Gang Cui:
Automatic Identification of Breast Ultrasound Image Based on Supervised Block-Based Region Segmentation Algorithm and Features Combination Migration Deep Learning Model. 984-993 - Børge Solli Andreassen, Federico Veronesi, Olivier Gérard, Anne H. Schistad Solberg, Eigil Samset:
Mitral Annulus Segmentation Using Deep Learning in 3-D Transesophageal Echocardiography. 994-1003 - Carl Azzopardi, Kenneth P. Camilleri, Yulia A. Hicks:
Bimodal Automated Carotid Ultrasound Segmentation Using Geometrically Constrained Deep Neural Networks. 1004-1015 - Ian Loram, Abdul Siddique, María B. Sánchez, Peter J. Harding, Monty Silverdale, Christopher Kobylecki, Ryan Cunningham:
Objective Analysis of Neck Muscle Boundaries for Cervical Dystonia Using Ultrasound Imaging and Deep Learning. 1016-1027 - Pinle Qin, Kuan Wu, Yishan Hu, Jianchao Zeng, Xiangfei Chai:
Diagnosis of Benign and Malignant Thyroid Nodules Using Combined Conventional Ultrasound and Ultrasound Elasticity Imaging. 1028-1036 - Bor-Shing Lin, Jean-Lon Chen, Yi-Hsuan Tu, Ya-Xing Shih, Yu-Ching Lin, Wen-Ling Chi, Yi-Cheng Wu:
Using Deep Learning in Ultrasound Imaging of Bicipital Peritendinous Effusion to Grade Inflammation Severity. 1037-1045 - Arijit Patra, Julia Alison Noble:
Hierarchical Class Incremental Learning of Anatomical Structures in Fetal Echocardiography Videos. 1046-1058