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ORCIDIEEE Journal of Biomedical and Health Informatics, Volume 25
Volume 25, Number 1, January 2021
- Lei Wang
, Yun Sun, Qingguo Li, Tao Liu, Jingang Yi:
IMU-Based Gait Normalcy Index Calculation for Clinical Evaluation of Impaired Gait. 3-12 - Hamed Danandeh Hesar, Maryam Mohebbi:
An Adaptive Kalman Filter Bank for ECG Denoising. 13-21 - Konstantinos Kyritsis, Christos Diou, Anastasios Delopoulos:
A Data Driven End-to-End Approach for In-the-Wild Monitoring of Eating Behavior Using Smartwatches. 22-34 - Mohammad Saidur Rahman, Ibrahim Khalil, Xun Yi:
Reversible Biosignal Steganography Approach for Authenticating Biosignals Using Extended Binary Golay Code. 35-46 - Shihan Ma, Bo Lv, Chuang Lin, Xinjun Sheng, Xiangyang Zhu:
EMG Signal Filtering Based on Variational Mode Decomposition and Sub-Band Thresholding. 47-58 - Yurong Li, Xu Yang, Yuezhu Zhou, Jun Chen, Min Du, Yuan Yang:
Adaptive Stimulation Profiles Modulation for Foot Drop Correction Using Functional Electrical Stimulation: A Proof of Concept Study. 59-68 - David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Jonathan Edward Robinson, Sridha Sridharan, Patrick J. Johnston, Kristin R. Laurens, Clinton Fookes:
Identification of Children at Risk of Schizophrenia via Deep Learning and EEG Responses. 69-76 - Ting-Hsuan Lin, Jyun-Yao Jhang, Chun-Rong Huang, Yu-Ching Tsai, Hsiu-Chi Cheng, Bor-Shyang Sheu:
Deep Ensemble Feature Network for Gastric Section Classification. 77-87 - Jessica Loo, Matthias F. Kriegel, Megan M. Tuohy, Kyeong Hwan Kim, Venkatesh Prajna, Maria A. Woodward, Sina Farsiu:
Open-Source Automatic Segmentation of Ocular Structures and Biomarkers of Microbial Keratitis on Slit-Lamp Photography Images Using Deep Learning. 88-99 - Andreia S. Gaudêncio, Pedro G. Vaz, Mirvana Hilal, João M. R. Cardoso, Guillaume Mahé, Mathieu Lederlin, Anne Humeau-Heurtier:
Three-Dimensional Multiscale Fuzzy Entropy: Validation and Application to Idiopathic Pulmonary Fibrosis. 100-107 - Taimur Hassan, Muhammad Usman Akram, Naoufel Werghi, Muhammad Noman Nazir:
RAG-FW: A Hybrid Convolutional Framework for the Automated Extraction of Retinal Lesions and Lesion-Influenced Grading of Human Retinal Pathology. 108-120 - Ashish Sinha, Jose Dolz:
Multi-Scale Self-Guided Attention for Medical Image Segmentation. 121-130 - Noha M. Ghatwary, Massoud Zolgharni, Faraz Janan, Xujiong Ye:
Learning Spatiotemporal Features for Esophageal Abnormality Detection From Endoscopic Videos. 131-142 - Shuai Ding, Hui Huang, Zhenmin Li, Xiao Liu, Shanlin Yang:
SCNET: A Novel UGI Cancer Screening Framework Based on Semantic-Level Multimodal Data Fusion. 143-151 - Debaleena Nawn, Sawon Pratiher, Subhankar Chattoraj, Debjani Chakraborty, Mousumi Pal, Ranjan Rashmi Paul, Srimonti Dutta, Jyotirmoy Chatterjee:
Multifractal Alterations in Oral Sub-Epithelial Connective Tissue During Progression of Pre-Cancer and Cancer. 152-162 - Joohyun Seo, Hae-Seung Lee, Charles G. Sodini:
Non-Invasive Evaluation of a Carotid Arterial Pressure Waveform Using Motion-Tolerant Ultrasound Measurements During the Valsalva Maneuver. 163-174 - Chunlei Tang, Joseph M. Plasek, Xiao Shi, Meihan Wan, Haohan Zhang, Min-Jeoung Kang, Liqin Wang, Sevan M. Dulgarian, Yun Xiong, Jing Ma, David W. Bates, Li Zhou:
Estimating Time to Progression of Chronic Obstructive Pulmonary Disease With Tolerance. 175-180 - Carmina Reyes-Coronel, Christoph Wiesmeyr, Heinrich Garn, Bernhard Kohn, Markus Wimmer, Magdalena Mandl, Martin Glos, Thomas Penzel, Gerhard Klösch, Andrijana Stefanic-Kejik, Marion Böck, Eugenijus Kaniusas, Stefan Seidel:
3D Camera and Pulse Oximeter for Respiratory Events Detection. 181-188 - Sujee Lee, Shujing Wei, Veronica M. White, Philip A. Bain, Christine Baker, Jingshan Li:
Classification of Opioid Usage Through Semi-Supervised Learning for Total Joint Replacement Patients. 189-200 - Guangyi Zhang, Reza A. Ashrafi, Anne Juuti, Kirsi Pietiläinen, Pekka Marttinen:
Errors-in-Variables Modeling of Personalized Treatment-Response Trajectories. 201-208 - Zehua Zhang, Jiaqi Ding, Junhai Xu, Jijun Tang, Fei Guo:
Multi-Scale Time-Series Kernel-Based Learning Method for Brain Disease Diagnosis. 209-217 - Chima Stanley Eke, Emmanuel Jammeh, Xinzhong Li, Camille Carroll, Stephen Pearson, Emmanuel C. Ifeachor:
Early Detection of Alzheimer's Disease with Blood Plasma Proteins Using Support Vector Machines. 218-226 - Taha Khan, Peter G. Jacobs:
Prediction of Mild Cognitive Impairment Using Movement Complexity. 227-236 - Jingmei Yang, Feng Liu, Boyu Wang, Chaoyang Chen, Timothy Church, Lee Dukes, Jeffrey O. Smith:
Blood Pressure States Transition Inference Based on Multi-State Markov Model. 237-246 - Wei Zhang, Yuanyuan Li, Xiufen Zou:
SCCLRR: A Robust Computational Method for Accurate Clustering Single Cell RNA-Seq Data. 247-256 - Jin-Xing Liu, Zhen Cui, Ying-Lian Gao, Xiang-Zhen Kong:
WGRCMF: A Weighted Graph Regularized Collaborative Matrix Factorization Method for Predicting Novel LncRNA-Disease Associations. 257-265 - Yahui Long, Jiawei Luo:
Association Mining to Identify Microbe Drug Interactions Based on Heterogeneous Network Embedding Representation. 266-275 - David Adolfo Sampedro-Puente, Fabien Raphel, Jesus Fernandez-Bes, Pablo Laguna, Damiano Lombardi, Esther Pueyo:
Characterization of Spatio-Temporal Cardiac Action Potential Variability at Baseline and Under $\beta$-Adrenergic Stimulation by Combined Unscented Kalman Filter and Double Greedy Dimension Reduction. 276-288 - Rasheed el-Bouri, David W. Eyre, Peter J. Watkinson, Tingting Zhu, David A. Clifton:
Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care. 289-300
Volume 25, Number 2, February 2021
- Francesco Ciompi, Mitko Veta, Jeroen van der Laak, Nasir M. Rajpoot:
Editorial Computational Pathology. 303-306 - Alexander I. Wright, Catriona M. Dunn, Michael Hale, Gordon G. A. Hutchins, Darren E. Treanor:
The Effect of Quality Control on Accuracy of Digital Pathology Image Analysis. 307-314 - Pietro Antonio Cicalese, Aryan Mobiny, Zahed Shahmoradi, Xiongfeng Yi, Chandra Mohan, Hien Van Nguyen:
Kidney Level Lupus Nephritis Classification Using Uncertainty Guided Bayesian Convolutional Neural Networks. 315-324 - Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes Lundström:
Measuring Domain Shift for Deep Learning in Histopathology. 325-336 - Yushan Zheng, Zhiguo Jiang, Haopeng Zhang, Fengying Xie, Dingyi Hu, Shujiao Sun, Jun Shi, Chenghai Xue:
Stain Standardization Capsule for Application-Driven Histopathological Image Normalization. 337-347 - Quoc Dang Vu, Kyungeun Kim, Jin Tae Kwak:
Unsupervised Tumor Characterization via Conditional Generative Adversarial Networks. 348-357 - Haijun Lei, Shaomin Liu, Ahmed Elazab, Xuehao Gong, Baiying Lei:
Attention-Guided Multi-Branch Convolutional Neural Network for Mitosis Detection From Histopathological Images. 358-370 - Håkan Wieslander, Philip J. Harrison, Gabriel Skogberg, Sonya Jackson, Hakan Fridén, Johan Karlsson, Ola Spjuth, Carolina Wählby:
Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images. 371-380 - Daniëlle Krijgsman, Marinus B. van Leeuwen, John van der Ven, Vanda Almeida, Ruud Vlutters, David Halter, Peter J. K. Kuppen, Cornelis J. H. van de Velde, Reinhold Wimberger-Friedl:
Quantitative Whole Slide Assessment of Tumor-Infiltrating CD8-Positive Lymphocytes in ER-Positive Breast Cancer in Relation to Clinical Outcome. 381-392 - Leslie Solorzano, Carla Pereira, Diana Martins, Raquel Almeida, Fátima Carneiro, Gabriela M. Almeida, Carla Oliveira, Carolina Wählby:
Towards Automatic Protein Co-Expression Quantification in Immunohistochemical TMA Slides. 393-402 - Amal Lahiani, Irina Klaman, Nassir Navab, Shadi Albarqouni, Eldad Klaiman:
Seamless Virtual Whole Slide Image Synthesis and Validation Using Perceptual Embedding Consistency. 403-411 - Romain Mormont, Pierre Geurts, Raphaël Marée:
Multi-Task Pre-Training of Deep Neural Networks for Digital Pathology. 412-421 - Sebastian Stenman, Dmitrii Bychkov, Hakan Kücükel, Nina Linder, Caj Haglund, Johanna Arola, Johan Lundin:
Antibody Supervised Training of a Deep Learning Based Algorithm for Leukocyte Segmentation in Papillary Thyroid Carcinoma. 422-428 - Zhang Li, Jiehua Zhang, Tao Tan, Xichao Teng, Xiaoliang Sun, Hong Zhao, Lihong Liu, Yang Xiao, Byungjae Lee, Yilong Li, Qianni Zhang, Shujiao Sun, Yushan Zheng, Junyu Yan, Ni Li, Yiyu Hong, Junsu Ko, Hyun Jung, Yanling Liu, Yu-cheng Chen, Ching-Wei Wang, Vladimir Yurovskiy, Pavel Maevskikh, Vahid Khanagha, Yi Jiang, Li Yu, Zhihong Liu, Daiqiang Li, Peter J. Schüffler, Qifeng Yu, Hui Chen, Yuling Tang, Geert Litjens:
Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images - The ACDC@LungHP Challenge 2019. 429-440 - Yifan Jiang, Han Chen, Murray H. Loew, Hanseok Ko:
COVID-19 CT Image Synthesis With a Conditional Generative Adversarial Network. 441-452 - Juan Cheng, Meiyao Chen, Chang Li, Yu Liu, Rencheng Song, Aiping Liu, Xun Chen:
Emotion Recognition From Multi-Channel EEG via Deep Forest. 453-464 - Laura Susana Vargas-Valencia, Felipe B. A. Schneider, Arnaldo G. Leal-Junior, Pablo Caicedo-Rodríguez, Wilson Alexander Sierra Arévalo, Luis Eduardo Rodríguez Cheu, Teodiano Freire Bastos-Filho, Anselmo Frizera-Neto:
Sleeve for Knee Angle Monitoring: An IMU-POF Sensor Fusion System. 465-474 - Souvik Phadikar, Nidul Sinha, Rajdeep Ghosh:
Automatic Eyeblink Artifact Removal From EEG Signal Using Wavelet Transform With Heuristically Optimized Threshold. 475-484 - Han Zhang, Rui Li, Xiaotong Wen, Qing Li, Xia Wu:
Altered Time-Frequency Feature in Default Mode Network of Autism Based on Improved Hilbert-Huang Transform. 485-492 - Yassin Khalifa, Cara Donohue, James L. Coyle, Ervin Sejdic:
Upper Esophageal Sphincter Opening Segmentation With Convolutional Recurrent Neural Networks in High Resolution Cervical Auscultation. 493-503 - Jiali Shi, Rong Zhang, Lijun Guo, Linlin Gao, Huifang Ma, Jianhua Wang:
Discriminative Feature Network Based on a Hierarchical Attention Mechanism for Semantic Hippocampus Segmentation. 504-513 - Shuai Wang, Yang Cong, Hancan Zhu, Xianyi Chen, Liangqiong Qu, Huijie Fan, Qiang Zhang, Mingxia Liu:
Multi-Scale Context-Guided Deep Network for Automated Lesion Segmentation With Endoscopy Images of Gastrointestinal Tract. 514-525 - Yue Zhang, Jiong Wu, Yilong Liu, Yifan Chen, Ed X. Wu, Xiaoying Tang:
MI-UNet: Multi-Inputs UNet Incorporating Brain Parcellation for Stroke Lesion Segmentation From T1-Weighted Magnetic Resonance Images. 526-535 - Seunghyun Lee, Jiwon Kim, Sung Woon Park, Sang-Man Jin, Sung-Min Park:
Toward a Fully Automated Artificial Pancreas System Using a Bioinspired Reinforcement Learning Design: In Silico Validation. 536-546 - Ann-Kathrin Seifert, Martin Grimmer, Abdelhak M. Zoubir:
Doppler Radar for the Extraction of Biomechanical Parameters in Gait Analysis. 547-558 - Gina Sprint, Diane J. Cook, Roschelle Fritz:
Behavioral Differences Between Subject Groups Identified Using Smart Homes and Change Point Detection. 559-567 - Abul Barkat Mollah Sayeed Ud Doulah, Tonmoy Ghosh, Delwar Hossain, Masudul H. Imtiaz, Edward Sazonov:
"Automatic Ingestion Monitor Version 2" - A Novel Wearable Device for Automatic Food Intake Detection and Passive Capture of Food Images. 568-576 - Tao Zhang, Zhonghui Jiang, Dan Li, Xiao Wei, Bing Guo, Wu Huang, Guobiao Xu:
Sleep Staging Using Plausibility Score: A Novel Feature Selection Method Based on Metric Learning. 577-590 - Fariha Afsana, Muhammad Ashad Kabir, Naeemul Hassan, Manoranjan Paul:
Automatically Assessing Quality of Online Health Articles. 591-601 - Monay Mokhtar Shoushan, Bersain Alexander Reyes, Aldo R. Mejía-Rodríguez, Jo Woon Chong:
Non-Contact HR Monitoring via Smartphone and Webcam During Different Respiratory Maneuvers and Body Movements. 602-612
Volume 25, Number 3, March 2021
- Daiana Caroline dos Santos Gomes, Ginalber Luiz de Oliveira Serra:
Machine Learning Model for Computational Tracking and Forecasting the COVID-19 Dynamic Propagation. 615-622 - Ali Moin, Arno Thielens, Álvaro Araujo, Alberto L. Sangiovanni-Vincentelli, Jan M. Rabaey:
Adaptive Body Area Networks Using Kinematics and Biosignals. 623-633 - Md. Mobashir Hasan Shandhi, William H. Bartlett, James Alex Heller, Mozziyar Etemadi, Aaron J. Young, Thomas Plötz, Omer T. Inan:
Estimation of Instantaneous Oxygen Uptake During Exercise and Daily Activities Using a Wearable Cardio-Electromechanical and Environmental Sensor. 634-646 - Xinyu Jiang, Haoran Ren, Ke Xu, Xinming Ye, Chenyun Dai, Edward A. Clancy, Yuan-Ting Zhang, Wei Chen:
Quantifying Spatial Activation Patterns of Motor Units in Finger Extensor Muscles. 647-655 - Ryan S. McGinnis, Ellen W. McGinnis, Christopher J. Petrillo, Jonathan Ferri, Jordyn Scism, Matthew Price:
Validation of Smartphone Based Heart Rate Tracking for Remote Treatment of Panic Attacks. 656-662 - Jing Liu, Shirong Qiu, Ningqi Luo, Sze-Kei Lau, Hui Yu, Timothy Kwok, Yuan-Ting Zhang, Ni Zhao:
PCA-Based Multi-Wavelength Photoplethysmography Algorithm for Cuffless Blood Pressure Measurement on Elderly Subjects. 663-673 - Ahmad Rezaei, Mahta Khoshnam, Carlo Menon:
Towards User-Friendly Wearable Platforms for Monitoring Unconstrained Indoor and Outdoor Activities. 674-684 - Rohit Bose, Kaniska Samanta, Sudip Modak, Soumya Chatterjee:
Augmenting Neuromuscular Disease Detection Using Optimally Parameterized Weighted Visibility Graph. 685-692 - Wei-Dong Dang, Zhongke Gao, Dongmei Lv, Xinlin Sun, Chichao Cheng:
Rhythm-Dependent Multilayer Brain Network for the Detection of Driving Fatigue. 693-700 - Amit Kumar, Anoop Kant Godiyal, Pradeep Joshi, Deepak Joshi:
A New Force Myography-Based Approach for Continuous Estimation of Knee Joint Angle in Lower Limb Amputees and Able-Bodied Subjects. 701-710 - Yan Zhao, Baoqiang Ma, Pengbo Jiang, Debin Zeng, Xuetong Wang, Shuyu Li:
Prediction of Alzheimer's Disease Progression with Multi-Information Generative Adversarial Network. 711-719 - Tianyu Fu, Jingfan Fan, Dingkun Liu, Hong Song, Chaoyi Zhang, Danni Ai, Zhigang Cheng, Ping Liang, Jian Yang:
Divergence-Free Fitting-Based Incompressible Deformation Quantification of Liver. 720-736 - Zhengrong Luo, Zhongdao Jia, Zhimin Yuan, Jialin Peng:
HDC-Net: Hierarchical Decoupled Convolution Network for Brain Tumor Segmentation. 737-745 - Mohanad Alkhodari, Herbert F. Jelinek, Naoufel Werghi, Leontios J. Hadjileontiadis, Ahsan H. Khandoker:
Estimating Left Ventricle Ejection Fraction Levels Using Circadian Heart Rate Variability Features and Support Vector Regression Models. 746-754 - Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian:
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-Center Study. 755-763 - Jian Zheng, Haotian Sun, Shandong Wu, Ke Jiang, Yunsong Peng, Xiaodong Yang, Fan Zhang, Ming Li:
3D Context-Aware Convolutional Neural Network for False Positive Reduction in Clustered Microcalcifications Detection. 764-773 - Zhe Li, Yong Xia:
Deep Reinforcement Learning for Weakly-Supervised Lymph Node Segmentation in CT Images. 774-783 - Elyas Sabeti, Joshua Drews, Narathip Reamaroon, Elisa Warner, Michael W. Sjoding, Jonathan Gryak, Kayvan Najarian:
Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress Syndrome. 784-796 - Michal Byra, Katarzyna Dobruch-Sobczak, Ziemowit Klimonda, Hanna Piotrzkowska-Wróblewska, Jerzy Litniewski:
Early Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer Sonography Using Siamese Convolutional Neural Networks. 797-805 - Kanghan Oh, Il-Seok Oh, Van Nhat Thang Le, Dae-Woo Lee:
Deep Anatomical Context Feature Learning for Cephalometric Landmark Detection. 806-817 - Zhenchao Sun, Hongzhi Yin, Hongxu Chen, Tong Chen, Lizhen Cui, Fan Yang:
Disease Prediction via Graph Neural Networks. 818-826 - Zahra Shakeri Hossein Abad, David M. Maslove, Joon Lee:
Predicting Discharge Destination of Critically Ill Patients Using Machine Learning. 827-837 - Andrew P. Creagh, Cedric Simillion, Alan K. Bourke, Alf Scotland, Florian Lipsmeier, Corrado Bernasconi, Johan van Beek, Mike Baker, Christian Gossens, Michael Lindemann, Maarten De Vos:
Smartphone- and Smartwatch-Based Remote Characterisation of Ambulation in Multiple Sclerosis During the Two-Minute Walk Test. 838-849 - Xian Teng, Sen Pei, Yu-Ru Lin:
StoCast: Stochastic Disease Forecasting With Progression Uncertainty. 850-861 - Prosanta Gope, Youcef Gheraibia, Sohag Kabir, Biplab Sikdar:
A Secure IoT-Based Modern Healthcare System With Fault-Tolerant Decision Making Process. 862-873 - Fatemeh Mansoori, Maseud Rahgozar, Kaveh Kavousi:
A Pathway Analysis Approach Using Petri Net. 874-880 - Ming-Ming Gao, Zhen Cui, Ying-Lian Gao, Juan Wang, Jin-Xing Liu:
Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations. 881-890 - Chengqian Lu, Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Min Li, Jianxin Wang:
Deep Matrix Factorization Improves Prediction of Human CircRNA-Disease Associations. 891-899
Volume 25, Number 4, April 2021
- Nan Ji, Ting Xiang, Paolo Bonato, Nigel H. Lovell, Sze-Yuan Ooi, David A. Clifton, Metin Akay, Xiao-Rong Ding, Bryan P. Yan, Vincent C. T. Mok, Dimitrios I. Fotiadis, Yuan-Ting Zhang:
Recommendation to Use Wearable-Based mHealth in Closed-Loop Management of Acute Cardiovascular Disease Patients During the COVID-19 Pandemic. 903-908 - Jia Liu, Zhen-Ni Guo, David M. Simpson, Pandeng Zhang, Chang Liu, Jia-Ning Song, Xinyi Leng, Yi Yang:
A Data-Driven Approach to Transfer Function Analysis for Superior Discriminative Power: Optimized Assessment of Dynamic Cerebral Autoregulation. 909-921 - Haixia Bi, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Peter A. Flach:
Human Activity Recognition Based on Dynamic Active Learning. 922-934 - Alessio Burrello, Simone Benatti, Kaspar Schindler, Luca Benini, Abbas Rahimi:
An Ensemble of Hyperdimensional Classifiers: Hardware-Friendly Short-Latency Seizure Detection With Automatic iEEG Electrode Selection. 935-946 - Aleksandra Rashkovska, Roman Trobec:
Framework for Personalized Real-Time Control of Hidden Temperature Variables in Therapeutic Knee Cooling. 947-958 - Anoop Kant Godiyal, Deepak Joshi:
Optimal Force Myography Placement For Maximizing Locomotion Classification Accuracy in Transfemoral Amputees: A Pilot Study. 959-968 - Mingliang Chen, Qiang Zhu, Min Wu, Quanzeng Wang:
Modulation Model of the Photoplethysmography Signal for Vital Sign Extraction. 969-977 - Yamin Li, Wen Shi, Zhian Liu, Jing Li, Qiang Wang, Xiangguo Yan, Zehong Cao, Gang Wang:
Effective Brain State Estimation During Propofol-Induced Sedation Using Advanced EEG Microstate Spectral Analysis. 978-987 - Dong Cui, Yuexin Cai, Guangzheng Yu:
A Graphical-User-Interface-Based Azimuth-Collection Method in Autonomous Auditory Localization of Real and Virtual Sound Sources. 988-996 - Houde Dai, Guoen Cai, Zhirong Lin, Zengwei Wang, Qinyong Ye:
Validation of Inertial Sensing-Based Wearable Device for Tremor and Bradykinesia Quantification. 997-1005 - Cristhyne León, Guy Carrault, Patrick Pladys, Alain Beuchée:
Early Detection of Late Onset Sepsis in Premature Infants Using Visibility Graph Analysis of Heart Rate Variability. 1006-1017 - Seungman Yang, Jangjay Sohn, Saram Lee, Joonnyong Lee, Hee Chan Kim:
Estimation and Validation of Arterial Blood Pressure Using Photoplethysmogram Morphology Features in Conjunction With Pulse Arrival Time in Large Open Databases. 1018-1030 - Zongyang Xia, Md. Mobashir Hasan Shandhi, Yinghao Li, Omer T. Inan, Ying Zhang:
The Delineation of Fiducial Points for Non-Contact Radar Seismocardiogram Signals Without Concurrent ECG. 1031-1040 - Ling Xiao, Qian Zhang, Kun Xie, Chunxia Xiao:
Online MECG Compression Based on Incremental Tensor Decomposition for Wearable Devices. 1041-1051 - Runnan He, Yang Liu, Kuanquan Wang, Na Zhao, Yongfeng Yuan, Qince Li, Henggui Zhang:
Automatic Detection of QRS Complexes Using Dual Channels Based on U-Net and Bidirectional Long Short-Term Memory. 1052-1061 - Parisa Moghri Masoumi, Hamed Sadjedi:
Trial-Specific Feature Performance on Single-Channel Auditory Mismatch Negativity Detection. 1062-1069 - Xinyu Jiang, Ke Xu, Xiangyu Liu, Chenyun Dai, David A. Clifton, Edward A. Clancy, Metin Akay, Wei Chen:
Cancelable HD-sEMG-Based Biometrics for Cross-Application Discrepant Personal Identification. 1070-1079 - Shengnan Liu, Min Li, Yukun Feng, Min Zhang, Mirabel Ewura Esi Acquah, Sunpei Huang, Jinying Chen, Peng Ren:
Brain Network Analysis by Stable and Unstable EEG Components. 1080-1092 - Guadalupe García-Isla, Valentina D. A. Corino, Luca T. Mainardi:
Poincaré Plot Image and Rhythm-Specific Atlas for Atrial Bigeminy and Atrial Fibrillation Detection. 1093-1100 - Ziyou Li, Xingang Zhao, Guangjun Liu, Bi Zhang, Daohui Zhang, Jianda Han:
Electrode Shifts Estimation and Adaptive Correction for Improving Robustness of sEMG-Based Recognition. 1101-1110 - Andrea Bandini, Sia Rezaei, Diego L. Guarin, Madhura Kulkarni, Derrick Lim, Mark I. Boulos, Lorne Zinman, Yana Yunusova, Babak Taati:
A New Dataset for Facial Motion Analysis in Individuals With Neurological Disorders. 1111-1119 - Yan Shao, Xiaoying Zhang, Ge Wu, Qingtao Gu, Jiyong Wang, Yanchen Ying, Aihui Feng, Guotong Xie, Qing Kong, Zhiyong Xu:
Prediction of Three-Dimensional Radiotherapy Optimal Dose Distributions for Lung Cancer Patients With Asymmetric Network. 1120-1127 - Bo Wang, Shengpei Wang, Shuang Qiu, Wei Wei, Haibao Wang, Huiguang He:
CSU-Net: A Context Spatial U-Net for Accurate Blood Vessel Segmentation in Fundus Images. 1128-1138 - Chunyu Liu, Yi Kang, Lingxi Zhang, Jiacai Zhang:
Rapidly Decoding Image Categories From MEG Data Using a Multivariate Short-Time FC Pattern Analysis Approach. 1139-1150 - Pranjal Sahu, Yiyuan Zhao, Parmeet S. Bhatia, Luca Bogoni, Anna K. Jerebko, Hong Qin:
Structure Correction for Robust Volume Segmentation in Presence of Tumors. 1151-1162 - Qi Qi, Xin Lin, Chaoqi Chen, Weiping Xie, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu:
Curriculum Feature Alignment Domain Adaptation for Epithelium-Stroma Classification in Histopathological Images. 1163-1172 - Siqi Li, Huiyan Jiang, Haoming Li, Yu-Dong Yao:
AW-SDRLSE: Adaptive Weighting and Scalable Distance Regularized Level Set Evolution for Lymphoma Segmentation on PET Images. 1173-1184 - Zhijie Wen, Ru Feng, Jingxin Liu, Ying Li, Shihui Ying:
GCSBA-Net: Gabor-Based and Cascade Squeeze Bi-Attention Network for Gland Segmentation. 1185-1196 - Marzieh R. Moghadam, Yi-Ping Phoebe Chen:
Tracking Neutrophil Migration in Zebrafish Model Using Multi-Channel Feature Learning. 1197-1205 - Pu Huang, Jing Wang, Jian Zhang, Yajuan Shen, Cong Liu, Weiqing Song, Shangshang Wu, Yuwei Zuo, Zhiming Lu, Dengwang Li:
Attention-Aware Residual Network Based Manifold Learning for White Blood Cells Classification. 1206-1214 - Tian Tan, Zachary A. Strout, Peter B. Shull:
Accurate Impact Loading Rate Estimation During Running via a Subject-Independent Convolutional Neural Network Model and Optimal IMU Placement. 1215-1222 - Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou:
Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An In Silico Validation. 1223-1232 - Kun Qian, Christoph Janott, Maximilian Schmitt, Zixing Zhang, Clemens Heiser, Werner Hemmert, Yoshiharu Yamamoto, Björn W. Schuller:
Can Machine Learning Assist Locating the Excitation of Snore Sound? A Review. 1233-1246 - Alessandra Angelucci, David Kuller, Andrea Aliverti:
A Home Telemedicine System for Continuous Respiratory Monitoring. 1247-1256 - Ahmadreza Argha, Branko G. Celler, Nigel H. Lovell:
A Novel Automated Blood Pressure Estimation Algorithm Using Sequences of Korotkoff Sounds. 1257-1264 - Yiwen Meng, William Speier, Michael K. Ong, Corey W. Arnold:
HCET: Hierarchical Clinical Embedding With Topic Modeling on Electronic Health Records for Predicting Future Depression. 1265-1272 - Julien Maitre, Kévin Bouchard, Sébastien Gaboury:
Fall Detection With UWB Radars and CNN-LSTM Architecture. 1273-1283 - Patrick Schwab, Walter Karlen:
A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data. 1284-1291 - Xiang Chen, Yu Li, Ruochen Hu, Xu Zhang, Xun Chen:
Hand Gesture Recognition based on Surface Electromyography using Convolutional Neural Network with Transfer Learning Method. 1292-1304 - Maytus Piriyajitakonkij, Patchanon Warin, Payongkit Lakhan, Pitshaporn Leelaarporn, Nakorn Kumchaiseemak, Supasorn Suwajanakorn, Theerasarn Pianpanit, Nattee Niparnan, Subhas Chandra Mukhopadhyay, Theerawit Wilaiprasitporn:
SleepPoseNet: Multi-View Learning for Sleep Postural Transition Recognition Using UWB. 1305-1314 - Alberto Blanco, Alicia Pérez, Arantza Casillas, Daniel Cobos:
Extracting Cause of Death From Verbal Autopsy With Deep Learning Interpretable Methods. 1315-1325 - Paolo Di Giamberardino, Daniela Iacoviello, Federico Papa, Carmela Sinisgalli:
Dynamical Evolution of COVID-19 in Italy With an Evaluation of the Size of the Asymptomatic Infective Population. 1326-1332
Volume 25, Number 5, May 2021
- Jingxiong Li, Yaqi Wang, Shuai Wang, Jun Wang, Jun Liu, Qun Jin, Lingling Sun:
Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-Ray Images. 1336-1346 - Guangyu Guo, Zhuoyan Liu, Shijie Zhao, Lei Guo, Tianming Liu:
Eliminating Indefiniteness of Clinical Spectrum for Better Screening COVID-19. 1347-1357 - Wenjin Wang, Steffen Leonhardt, Lionel Tarassenko, Caifeng Shan, Daniel McDuff:
Guest Editorial: Camera-Based Monitoring for Pervasive Healthcare Informatics. 1358-1360 - Alexander Woyczyk, Vincent Fleischhauer, Sebastian Zaunseder:
Adaptive Gaussian Mixture Model Driven Level Set Segmentation for Remote Pulse Rate Detection. 1361-1372 - Rencheng Song, Huan Chen, Juan Cheng, Chang Li, Yu Liu, Xun Chen:
PulseGAN: Learning to Generate Realistic Pulse Waveforms in Remote Photoplethysmography. 1373-1384 - Md. Hasanul Aziz, Md. Kamrul Hasan, Arafat Mahmood, Richard R. Love, Sheikh Iqbal Ahamed:
Automated Cardiac Pulse Cycle Analysis From Photoplethysmogram (PPG) Signals Generated From Fingertip Videos Captured Using a Smartphone to Measure Blood Hemoglobin Levels. 1385-1396 - Po-Wei Huang, Bing-Jhang Wu, Bing-Fei Wu:
A Heart Rate Monitoring Framework for Real-World Drivers Using Remote Photoplethysmography. 1397-1408 - Mark van Gastel, Sander Stuijk, Sebastiaan Overeem, Johannes P. van Dijk, Merel M. van Gilst, Gerard de Haan:
Camera-Based Vital Signs Monitoring During Sleep - A Proof of Concept Study. 1409-1418 - Raphaël Weber, Sandie Cabon, Antoine Simon, Fabienne Porée, Guy Carrault:
Preterm Newborn Presence Detection in Incubator and Open Bed Using Deep Transfer Learning. 1419-1428 - Cheng Li, Arash Pourtaherian, Lonneke van Onzenoort, Walther E. Tjon a Ten, Peter H. N. de With:
Infant Facial Expression Analysis: Towards a Real-Time Video Monitoring System Using R-CNN and HMM. 1429-1440 - Muhammad Awais, Xi Long, Bin Yin, Saadullah Farooq Abbasi, Saeed Akbarzadeh, Chunmei Lu, Xinhua Wang, Laishuan Wang, Jiong Zhang, Jeroen Dudink, Wei Chen:
A Hybrid DCNN-SVM Model for Classifying Neonatal Sleep and Wake States Based on Facial Expressions in Video. 1441-1449 - Siavash Rezaei, Abhishek Moturu, Shun Zhao, Kenneth M. Prkachin, Thomas Hadjistavropoulos, Babak Taati:
Unobtrusive Pain Monitoring in Older Adults With Dementia Using Pairwise and Contrastive Training. 1450-1462 - Mehdy Dousty, José Zariffa:
Tenodesis Grasp Detection in Egocentric Video. 1463-1470 - Jianing Qiu, Frank Po Wen Lo, Shuo Jiang, Ya-Yen Tsai, Yingnan Sun, Benny Lo:
Counting Bites and Recognizing Consumed Food from Videos for Passive Dietary Monitoring. 1471-1482 - Shancheng Jiang, Huichuan Li, Zhi Jin:
A Visually Interpretable Deep Learning Framework for Histopathological Image-Based Skin Cancer Diagnosis. 1483-1494 - Zhaoxiang Guo, Yonghang Tai, Junzhen Du, Zaiqing Chen, Qiong Li, Junsheng Shi:
Automatically Addressing System for Ultrasound-Guided Renal Biopsy Training Based on Augmented Reality. 1495-1507 - Sun-Hee Kim, Hyung-Jeong Yang, Thi Anh Ngoc Nguyen, Seong-Whan Lee:
AsEmo: Automatic Approach for EEG-Based Multiple Emotional State Identification. 1508-1518 - Nils Strodthoff, Patrick Wagner, Tobias Schaeffter, Wojciech Samek:
Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL. 1519-1528 - Yi Liu, Shuxiang Guo, Ziyi Yang, Hideyuki Hirata, Takashi Tamiya:
A Home-Based Bilateral Rehabilitation System With sEMG-based Real-Time Variable Stiffness. 1529-1541 - Valerie E. Rennoll, Ian McLane, Dimitra Emmanouilidou, James E. West, Mounya Elhilali:
Electronic Stethoscope Filtering Mimics the Perceived Sound Characteristics of Acoustic Stethoscope. 1542-1549 - María Dolores Peláez-Coca, Alberto Hernando, María Teresa Lozano, Carlos Sánchez, David Izquierdo, Eduardo Gil:
Photoplethysmographic Waveform and Pulse Rate Variability Analysis in Hyperbaric Environments. 1550-1560 - Alexis Suárez, Felipe Núñez, Maria Rodriguez-Fernandez:
Circadian Phase Prediction From Non-Intrusive and Ambulatory Physiological Data. 1561-1571 - Beren Semiz, Andrew M. Carek, Jessica C. Johnson, Shireen Ahmad, James Alex Heller, Florencia Garcia Vicente, Stacey Caron, Charles W. Hogue, Mozziyar Etemadi, Omer T. Inan:
Non-Invasive Wearable Patch Utilizing Seismocardiography for Peri-Operative Use in Surgical Patients. 1572-1582 - Seth R. Donahue, Li Jin, Michael E. Hahn:
User Independent Estimations of Gait Events With Minimal Sensor Data. 1583-1590 - Göktekin Durusoy, Zerrin Yildirim, Demet Yüksel Dal, Cigdem Ulasoglu-Yildiz, Elif Kurt, Günes Bayir, Erhan Özacar, Evren Özarslan, Asli Demirtas-Tatlidede, Basar Bilgiç, Tamer Demiralp, Hakan Gürvit, Alkan Kabakçioglu, Burak Acar:
B-Tensor: Brain Connectome Tensor Factorization for Alzheimer's Disease. 1591-1600 - Peijun Hu, Xiang Li, Yu Tian, Tianyu Tang, Tianshu Zhou, Xueli Bai, Shiqiang Zhu, Tingbo Liang, Jingsong Li:
Automatic Pancreas Segmentation in CT Images With Distance-Based Saliency-Aware DenseASPP Network. 1601-1611 - Lan Shen, Min Liu, Chao Wang, Changhao Guo, Erik Meijering, Yaonan Wang:
Efficient 3D Junction Detection in Biomedical Images Based on a Circular Sampling Model and Reverse Mapping. 1612-1623 - Bo Du, Jiandong Liao, Baris Turkbey, Pingkun Yan:
Multi-Task Learning for Registering Images With Large Deformation. 1624-1633 - Bo Yang, Weixun Chen, Huiqiong Luo, Yinghui Tan, Min Liu, Yaonan Wang:
Neuron Image Segmentation via Learning Deep Features and Enhancing Weak Neuronal Structures. 1634-1645 - Lu Li, Meng Wei, Bo Liu, Kunakorn Atchaneeyasakul, Fugen Zhou, Zehao Pan, Shimran A. Kumar, Jason Y. Zhang, Yuehua Pu, David S. Liebeskind, Fabien Scalzo:
Deep Learning for Hemorrhagic Lesion Detection and Segmentation on Brain CT Images. 1646-1659 - Alexey Tolkachev, Ilyas Sirazitdinov, Maksym Kholiavchenko, Tamerlan Mustafaev, Bulat Ibragimov:
Deep Learning for Diagnosis and Segmentation of Pneumothorax: The Results on the Kaggle Competition and Validation Against Radiologists. 1660-1672 - Zhe Chen, Zhao Chen, Jingxin Liu, Qiang Zheng, Yuang Zhu, Yanfei Zuo, Zhaoyu Wang, Xiaosong Guan, Yue Wang, Yuan Li:
Weakly Supervised Histopathology Image Segmentation With Sparse Point Annotations. 1673-1685 - Mingyang Ma, Shaohui Mei, Shuai Wan, Zhiyong Wang, Zongyuan Ge, Vincent Lam, Dagan Feng:
Keyframe Extraction From Laparoscopic Videos via Diverse and Weighted Dictionary Selection. 1686-1698 - Runxi Cui, Zhigang Chen, Jia Wu, Yanlin Tan, Genghua Yu:
A Multiprocessing Scheme for PET Image Pre-Screening, Noise Reduction, Segmentation and Lesion Partitioning. 1699-1711 - Yipu Zhang, Li Xiao, Gemeng Zhang, Biao Cai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
Multi-Paradigm fMRI Fusion via Sparse Tensor Decomposition in Brain Functional Connectivity Study. 1712-1723 - Edwin Thomas, Pawan S. Jogi, Shushant Kumar, Anmol Horo, S. Niyas, S. Vinayagamani, Chandrasekharan Kesavadas, Jeny Rajan:
Multi-Res-Attention UNet: A CNN Model for the Segmentation of Focal Cortical Dysplasia Lesions from Magnetic Resonance Images. 1724-1734 - Yasmin M. Kassim, Kannappan Palaniappan, Feng Yang, Mahdieh Poostchi, Nila Palaniappan, Richard James Maude, Sameer K. Antani, Stefan Jäger:
Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears. 1735-1746 - Mira Valkonen, Gunilla Högnäs, G. Steven Bova, Pekka Ruusuvuori:
Generalized Fixation Invariant Nuclei Detection Through Domain Adaptation Based Deep Learning. 1747-1757 - Andrew Hynes, Stephen Czarnuch, Megan C. Kirkland, Michelle Ploughman:
Spatiotemporal Gait Measurement With a Side-View Depth Sensor Using Human Joint Proposals. 1758-1769 - William Hulme, Glen P. Martin, Matthew Sperrin, Alexander J. Casson, Sandra Bucci, Shôn Lewis, Niels Peek:
Adaptive Symptom Monitoring Using Hidden Markov Models - An Application in Ecological Momentary Assessment. 1770-1780 - Xinchi Yu, Thea Laurentius, Leo Cornelius Bollheimer, Steffen Leonhardt, Christoph Hoog Antink:
Noncontact Monitoring of Heart Rate and Heart Rate Variability in Geriatric Patients Using Photoplethysmography Imaging. 1781-1792 - Ping Xuan, Ling Gao, Nan Sheng, Tiangang Zhang, Toshiya Nakaguchi:
Graph Convolutional Autoencoder and Fully-Connected Autoencoder with Attention Mechanism Based Method for Predicting Drug-Disease Associations. 1793-1804 - Haeseok Jeong, Woojin Park:
Developing and Evaluating a Mixed Sensor Smart Chair System for Real-Time Posture Classification: Combining Pressure and Distance Sensors. 1805-1813 - Jacob L. Newman, John S. Phillips, Stephen J. Cox:
1D Convolutional Neural Networks for Detecting Nystagmus. 1814-1823 - Brett M. Meyer, Lindsey J. Tulipani, Reed D. Gurchiek, Dakota A. Allen, Lukas Adamowicz, Dale Larie, Andrew J. Solomon, Nick Cheney, Ryan S. McGinnis:
Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis. 1824-1831 - Swagarika Jaharlal Giri, Pratik Dutta, Parth Halani, Sriparna Saha:
MultiPredGO: Deep Multi-Modal Protein Function Prediction by Amalgamating Protein Structure, Sequence, and Interaction Information. 1832-1838 - Rizwan Qureshi, Mengxu Zhu, Hong Yan:
Visualization of Protein-Drug Interactions for the Analysis of Drug Resistance in Lung Cancer. 1839-1848
Volume 25, Number 6, June 2021
- Karen Panetta, Foram Sanghavi, Sos S. Agaian, Neel Madan:
Automated Detection of COVID-19 Cases on Radiographs using Shape-Dependent Fibonacci-p Patterns. 1852-1863 - Ziduo Yang, Lu Zhao, Shuyu Wu, Calvin Yu-Chian Chen:
Lung Lesion Localization of COVID-19 From Chest CT Image: A Novel Weakly Supervised Learning Method. 1864-1872 - Saeed Mohagheghi, Mehdi Alizadeh, Seyed Mahdi Safavi, Amir Hossein Foruzan, Yen-Wei Chen:
Integration of CNN, CBMIR, and Visualization Techniques for Diagnosis and Quantification of Covid-19 Disease. 1873-1880 - Muhammad Owais, Young Won Lee, Tahir Mahmood, Adnan Haider, Haseeb Sultan, Kang Ryoung Park:
Multilevel Deep-Aggregated Boosted Network to Recognize COVID-19 Infection from Large-Scale Heterogeneous Radiographic Data. 1881-1891 - Maayan Frid-Adar, Rula Amer, Ophir Gozes, Jannette Nassar, Hayit Greenspan:
COVID-19 in CXR: From Detection and Severity Scoring to Patient Disease Monitoring. 1892-1903 - Bo-Han Kung, Po-Yuan Hu, Chiu-Chang Huang, Cheng-Che Lee, Chia-Yu Yao, Chieh-Hsiung Kuan:
An Efficient ECG Classification System Using Resource-Saving Architecture and Random Forest. 1904-1914 - Poyuan Jeng, Chun-Shu Wei, Tzyy-Ping Jung, Li-Chun Wang:
Low-Dimensional Subject Representation-Based Transfer Learning in EEG Decoding. 1915-1925 - Venu G. Ganti, Andrew M. Carek, Brandi N. Nevius, James Alex Heller, Mozziyar Etemadi, Omer T. Inan:
Wearable Cuff-Less Blood Pressure Estimation at Home via Pulse Transit Time. 1926-1937 - Ridwan Alam, David B. Peden, John C. Lach:
Wearable Respiration Monitoring: Interpretable Inference With Context and Sensor Biomarkers. 1938-1948 - Nannapas Banluesombatkul, Pichayoot Ouppaphan, Pitshaporn Leelaarporn, Payongkit Lakhan, Busarakum Chaitusaney, Nattapong Jaimchariyatam, Ekapol Chuangsuwanich, Wei Chen, Huy Phan, Nat Dilokthanakul, Theerawit Wilaiprasitporn:
MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-Signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning. 1949-1963 - Shreyasi Datta, Chandan K. Karmakar, Bernard Yan, Marimuthu Palaniswami:
Novel Measures of Similarity and Asymmetry in Upper Limb Activities for Identifying Hemiparetic Severity in Stroke Survivors. 1964-1974 - Clara Mosquera Lopez, Eric A. Wan, Mahesh C. Shastry, Jonathon Folsom, Joseph Leitschuh, John Condon, Uma Rajhbeharrysingh, Andrea Hildebrand, Michelle Cameron, Peter G. Jacobs:
Automated Detection of Real-World Falls: Modeled From People With Multiple Sclerosis. 1975-1984 - Ragil Krishna, Pubudu N. Pathirana, Malcolm K. Horne, Louise A. Corben, David J. Szmulewicz:
Quantitative Assessment of Friedreich Ataxia via Self-Drinking Activity. 1985-1996 - Nida Sae Jong, Alba García Seco de Herrera, Pornchai Phukpattaranont:
Multimodal Data Fusion of Electromyography and Acoustic Signals for Thai Syllable Recognition. 1997-2006 - Peng Xue, Yu Fu, Huizhong Ji, Wentao Cui, Enqing Dong:
Lung Respiratory Motion Estimation Based on Fast Kalman Filtering and 4D CT Image Registration. 2007-2017 - Xinyu Yang, Yuan Zhang, Benny Lo, Dongrui Wu, Hongen Liao, Yuan-Ting Zhang:
DBAN: Adversarial Network With Multi-Scale Features for Cardiac MRI Segmentation. 2018-2028 - Debesh Jha, Pia H. Smedsrud, Dag Johansen, Thomas de Lange, Håvard D. Johansen, Pål Halvorsen, Michael A. Riegler:
A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation. 2029-2040 - Caner Mercan, Bulut Aygünes, Selim Aksoy, Ezgi Mercan, Linda G. Shapiro, Donald L. Weaver, Joann G. Elmore:
Deep Feature Representations for Variable-Sized Regions of Interest in Breast Histopathology. 2041-2049 - Nipuna H. Weerasinghe, Nigel H. Lovell, Alec W. Welsh, Gordon N. Stevenson:
Multi-Parametric Fusion of 3D Power Doppler Ultrasound for Fetal Kidney Segmentation Using Fully Convolutional Neural Networks. 2050-2057 - Jie Xing, Chao Chen, Qinyang Lu, Xun Cai, Aijun Yu, Yi Xu, Xiaoling Xia, Yue Sun, Jing Xiao, Lingyun Huang:
Using BI-RADS Stratifications as Auxiliary Information for Breast Masses Classification in Ultrasound Images. 2058-2070 - Kaiqi Li, Xingqun Qi, Yiwen Luo, Zeyi Yao, Xiaoguang Zhou, Muyi Sun:
Accurate Retinal Vessel Segmentation in Color Fundus Images via Fully Attention-Based Networks. 2071-2081 - Jiahong Ouyang, Qingyu Zhao, Edith V. Sullivan, Adolf Pfefferbaum, Susan F. Tapert, Ehsan Adeli, Kilian M. Pohl:
Longitudinal Pooling & Consistency Regularization to Model Disease Progression From MRIs. 2082-2092 - Yang Li, Yan Li, Hua Tian:
Deep Learning-Based End-to-End Diagnosis System for Avascular Necrosis of Femoral Head. 2093-2102 - Marco Recenti, Carlo Ricciardi, Kyle Joseph Edmunds, Magnús Kjartan Gíslason, Sigurdur Sigurdsson, Ugo Carraro, Paolo Gargiulo:
Healthy Aging Within an Image: Using Muscle Radiodensitometry and Lifestyle Factors to Predict Diabetes and Hypertension. 2103-2112 - Andrew Gilbert, Marit Holden, Line Eikvil, Mariia Rakhmail, Aleksandar Babic, Svein Arne Aase, Eigil Samset, Kristin McLeod:
User-Intended Doppler Measurement Type Prediction Combining CNNs With Smart Post-Processing. 2113-2124 - Mihir Sahasrabudhe, Pierre Sujobert, Evangelia I. Zacharaki, Eugénie Maurin, Béatrice Grange, Laurent Jallades, Nikos Paragios, Maria Vakalopoulou:
Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis. 2125-2136 - Eunice E. Santos, John Korah, Suresh Subramanian, Vairavan Murugappan, Elbert S. Huang, Neda Laiteerapong, Ali Cinar:
Analyzing Medical Guideline Dissemination Behaviors Using Culturally Infused Agent Based Modeling Framework. 2137-2149 - Marko Sarlija, Sinisa Popovic, Marko Jagodic, Tanja Jovanovic, Vladimir Ivkovic, Quan Zhang, Gary Strangman, Kresimir Cosic:
Prediction of Task Performance From Physiological Features of Stress Resilience. 2150-2161 - Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Houman Ghaemmaghami, Clinton Fookes:
A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation. 2162-2171 - Micael Pedrosa, André Zúquete, Carlos Costa:
A Pseudonymisation Protocol With Implicit and Explicit Consent Routes for Health Records in Federated Ledgers. 2172-2183 - Alexander Krall, Daniel Finke, Hui Yang:
Mosaic Privacy-Preserving Mechanisms for Healthcare Analytics. 2184-2192 - Zuhui Wang, Zhaozheng Yin, Young Anna Argyris:
Detecting Medical Misinformation on Social Media Using Multimodal Deep Learning. 2193-2203 - Arghya Datta, Matthew K. Matlock, Na Le Dang, Thiago C. Moulin, Keith F. Woeltje, Elizabeth L. Yanik, Sanjay Joshua Swamidass:
'Black Box' to 'Conversational' Machine Learning: Ondansetron Reduces Risk of Hospital-Acquired Venous Thromboembolism. 2204-2214 - Ning Liu, Soundar R. T. Kumara, Eric Reich:
Gaining Insights Into Patient Satisfaction Through Interpretable Machine Learning. 2215-2226 - María Isabel Fernández, Paula Chanfreut, Isabel Jurado, José María Maestre:
A Data-Based Model Predictive Decision Support System for Inventory Management in Hospitals. 2227-2236 - Li Luo, Xinzhu Yu, Zhilin Yong, Chunyang Li, Yonghong Gu:
Design Comorbidity Portfolios to Improve Treatment Cost Prediction of Asthma Using Machine Learning. 2237-2247 - Zhichao Zhang, Yoonbae Oh, Scott D. Adams, Kevin E. Bennet, Abbas Z. Kouzani:
An FSCV Deep Neural Network: Development, Pruning, and Acceleration on an FPGA. 2248-2259 - Da Xu, Jessica Qiuhua Sheng, Paul Jen-Hwa Hu, Ting Shuo Huang, Chih-Chin Hsu:
A Deep Learning-Based Unsupervised Method to Impute Missing Values in Patient Records for Improved Management of Cardiovascular Patients. 2260-2272 - Matthew Baucum, Anahita Khojandi, Rama K. Vasudevan:
Improving Deep Reinforcement Learning With Transitional Variational Autoencoders: A Healthcare Application. 2273-2280 - Jinbiao Liu, Gansheng Tan, Yixuan Sheng, Honghai Liu:
Multiscale Transfer Spectral Entropy for Quantifying Corticomuscular Interaction. 2281-2292 - Yordan P. Raykov, Luc J. W. Evers, Reham Badawy, Bastiaan R. Bloem, Tom M. Heskes, Marjan J. Meinders, Kasper Claes, Max A. Little:
Probabilistic Modelling of Gait for Robust Passive Monitoring in Daily Life. 2293-2304 - Nan Zhao, Xiaodong Yang, Zhiya Zhang, Muhammad Bilal Khan:
Circulating Nurse Assistant: Non-Contact Body Centric Gesture Recognition Towards Reducing Latrogenic Contamination. 2305-2316 - Guoqing Bao, Ran Xu, Xiuying Wang, Jianxiong Ji, Linlin Wang, Wenjie Li, Qing Zhang, Bin Huang, Anjing Chen, Di Zhang, Beihua Kong, Qifeng Yang, Cunzhong Yuan, Xinyu Wang, Jian Wang, Xingang Li:
Identification of lncRNA Signature Associated With Pan-Cancer Prognosis. 2317-2328 - Yinuo Lyu, Wenying He, Shuhao Li, Quan Zou, Fei Guo:
iPro2L-PSTKNC: A Two-Layer Predictor for Discovering Various Types of Promoters by Position Specific of Nucleotide Composition. 2329-2337 - Benlian Xu, Mingli Lu, Jian Shi, Jinliang Cong, Brett Nener:
A Joint Tracking Approach via Ant Colony Evolution for Quantitative Cell Cycle Analysis. 2338-2349
Volume 25, Number 7, July 2021
- Siwen Wang, Di Dong, Liang Li, Hailin Li, Yan Bai, Yahua Hu, Yuanyi Huang, Xiangrong Yu, Sibin Liu, Xiaoming Qiu, Ligong Lu, Meiyun Wang, Yunfei Zha, Jie Tian:
A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study. 2353-2362 - Titinunt Kitrungrotsakul, Qingqing Chen, Huitao Wu, Yutaro Iwamoto, Hongjie Hu, Wenchao Zhu, Chao Chen, Fangyi Xu, Yong Zhou, Lanfen Lin, Ruofeng Tong, Jingsong Li, Yen-Wei Chen:
Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19. 2363-2373 - Arash Shaban-Nejad, Martin Michalowski, John S. Brownstein, David L. Buckeridge:
Guest Editorial Explainable AI: Towards Fairness, Accountability, Transparency and Trust in Healthcare. 2374-2375 - Wenqi Shi, Li Tong, Yuanda Zhu, May D. Wang:
COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks. 2376-2387 - Young Seok Jeon, Kensuke Yoshino, Shigeo Hagiwara, Atsuya Watanabe, Swee Tian Quek, Hiroshi Yoshioka, Mengling Feng:
Interpretable and Lightweight 3-D Deep Learning Model for Automated ACL Diagnosis. 2388-2397 - Praharsh Ivaturi, Matteo Gadaleta, Amitabh C. Pandey, Michael J. Pazzani, Steven R. Steinhubl, Giorgio Quer:
A Comprehensive Explanation Framework for Biomedical Time Series Classification. 2398-2408 - Nicasia Beebe-Wang, Alex Okeson, Tim Althoff, Su-In Lee:
Efficient and Explainable Risk Assessments for Imminent Dementia in an Aging Cohort Study. 2409-2420 - Leonardo Alexandre, Rafael S. Costa, Lucio Lara-Santos, Rui Henriques:
Mining Pre-Surgical Patterns Able to Discriminate Post-Surgical Outcomes in the Oncological Domain. 2421-2434 - Kristoffer Wickstrøm, Karl Øyvind Mikalsen, Michael Kampffmeyer, Arthur Revhaug, Robert Jenssen:
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. 2435-2444 - Haifeng Xu, Jianfei Pang, Weiliang Zhang, Xuemeng Li, Mei Li, Dongsheng Zhao:
Predicting Recurrence for Patients With Ischemic Cerebrovascular Events Based on Process Discovery and Transfer Learning. 2445-2453 - Ahmad Chaddad, Paul Sargos, Christian Desrosiers:
Modeling Texture in Deep 3D CNN for Survival Analysis. 2454-2462 - Yong Shang, Yu Tian, Min Zhou, Tianshu Zhou, Kewei Lyu, Zhixiao Wang, Ran Xin, Tingbo Liang, Shiqiang Zhu, Jingsong Li:
EHR-Oriented Knowledge Graph System: Toward Efficient Utilization of Non-Used Information Buried in Routine Clinical Practice. 2463-2475 - Wonsuk Oh, Michael S. Steinbach, M. Regina Castro, Kevin A. Peterson, Vipin Kumar, Pedro J. Caraballo, György J. Simon:
A Computational Method for Learning Disease Trajectories From Partially Observable EHR Data. 2476-2486 - Guanchao Feng, Kezi Yu, Yunlong Wang, Yilian Yuan, Petar M. Djuric:
Exploiting Causality for Improved Prediction of Patient Volumes by Gaussian Processes. 2487-2496 - Zhenhu Liang, Hao Tian, Ho-ching Shawn Yang, Takeshi Arimitsu, Takao Takahashi, Angelo Sassaroli, Sergio Fantini, Haijing Niu, Yasuyo Minagawa, Yunjie Tong:
Tracking Brain Development From Neonates to the Elderly by Hemoglobin Phase Measurement Using Functional Near-Infrared Spectroscopy. 2497-2509 - Cederick Landry, Eric T. Hedge, Richard Lee Hughson, Sean D. Peterson, Arash Arami:
Accurate Blood Pressure Estimation During Activities of Daily Living: A Wearable Cuffless Solution. 2510-2520 - Diogo Filipe Silva, Steffen Leonhardt, Christoph Hoog Antink:
Copula-Based Data Augmentation on a Deep Learning Architecture for Cardiac Sensor Fusion. 2521-2532 - Zhe Wang, Tianhao Gu, Yiwen Zhu, Dongdong Li, Hai Yang, Wenli Du:
FLDNet: Frame-Level Distilling Neural Network for EEG Emotion Recognition. 2533-2544 - Jian Shen, Xiaowei Zhang, Xiao Huang, Manxi Wu, Jin Gao, Dawei Lu, Zhijie Ding, Bin Hu:
An Optimal Channel Selection for EEG-Based Depression Detection via Kernel-Target Alignment. 2545-2556 - Yang Yu, Chen Chen, Xinjun Sheng, Xiangyang Zhu:
Wrist Torque Estimation via Electromyographic Motor Unit Decomposition and Image Reconstruction. 2557-2566 - Henri Korkalainen, Timo Leppänen, Brett Duce, Samu Kainulainen, Juhani Aakko, Akseli Leino, Laura Kalevo, Isaac O. Afara, Sami Myllymaa, Juha Töyräs:
Detailed Assessment of Sleep Architecture With Deep Learning and Shorter Epoch-to-Epoch Duration Reveals Sleep Fragmentation of Patients With Obstructive Sleep Apnea. 2567-2574 - Henry Shin, Marwan A. Hawari, Xiaogang Hu:
Activation of Superficial and Deep Finger Flexors Through Transcutaneous Nerve Stimulation. 2575-2582 - Ian McLane, Dimitra Emmanouilidou, James E. West, Mounya Elhilali:
Design and Comparative Performance of a Robust Lung Auscultation System for Noisy Clinical Settings. 2583-2594 - Samiul Based Shuvo, Shams Nafisa Ali, Soham Irtiza Swapnil, Taufiq Hasan, Mohammed Imamul Hassan Bhuiyan:
A Lightweight CNN Model for Detecting Respiratory Diseases From Lung Auscultation Sounds Using EMD-CWT-Based Hybrid Scalogram. 2595-2603 - Bhaskar Sen, Kathryn R. Cullen, Keshab K. Parhi:
Classification of Adolescent Major Depressive Disorder Via Static and Dynamic Connectivity. 2604-2614 - Zengqiang Yan, Jeffry Wicaksana, Zhiwei Wang, Xin Yang, Kwang-Ting Cheng:
Variation-Aware Federated Learning With Multi-Source Decentralized Medical Image Data. 2615-2628 - Qingsen Yan, Bo Wang, Wei Zhang, Chuan Luo, Wei Xu, Zhengqing Xu, Yanning Zhang, Qinfeng Shi, Liang Zhang, Zheng You:
Attention-Guided Deep Neural Network With Multi-Scale Feature Fusion for Liver Vessel Segmentation. 2629-2642 - Helena R. Torres, Pedro Morais, Anne Fritze, Bruno Oliveira, Fernando Veloso, Mario Rüdiger, Jaime C. Fonseca, João L. Vilaça:
Anthropometric Landmark Detection in 3D Head Surfaces Using a Deep Learning Approach. 2643-2654 - Bingsheng Huang, Junru Tian, Hongyuan Zhang, Zixin Luo, Jing Qin, Chen Huang, Xueping He, Yanji Luo, Yongjin Zhou, Guo Dan, Hanwei Chen, Shi-Ting Feng, Chenglang Yuan:
Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis. 2655-2664 - Adeleh Bitarafan, Mahdi Nikdan, Mahdieh Soleymani Baghshah:
3D Image Segmentation With Sparse Annotation by Self-Training and Internal Registration. 2665-2672 - Zhu Meng, Zhicheng Zhao, Bingyang Li, Fei Su, Limei Guo, Haiying Wang:
Triple Up-Sampling Segmentation Network With Distribution Consistency Loss for Pathological Diagnosis of Cervical Precancerous Lesions. 2673-2685 - Cam-Hao Hua, Kiyoung Kim, Thien Huynh-The, Jong In You, Seung-Young Yu, Thuong Le-Tien, Sung-Ho Bae, Sungyoung Lee:
Convolutional Network With Twofold Feature Augmentation for Diabetic Retinopathy Recognition From Multi-Modal Images. 2686-2697 - Sulaiman Vesal, Mingxuan Gu, Andreas Maier, Nishant Ravikumar:
Spatio-Temporal Multi-Task Learning for Cardiac MRI Left Ventricle Quantification. 2698-2709 - Liping Zhang, Lin Shi, Jack Chun Yiu Cheng, Winnie Chiu Wing Chu, Simon Chun-Ho Yu:
LPAQR-Net: Efficient Vertebra Segmentation From Biplanar Whole-Spine Radiographs. 2710-2721 - Rui Xu, Tiantian Liu, Xinchen Ye, Fei Liu, Lin Lin, Liang Li, Satoshi Tanaka, Yen-Wei Chen:
Joint Extraction of Retinal Vessels and Centerlines Based on Deep Semantics and Multi-Scaled Cross-Task Aggregation. 2722-2732 - Philipp V. Rouast, Marc T. P. Adam:
Single-Stage Intake Gesture Detection Using CTC Loss and Extended Prefix Beam Search. 2733-2743 - Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou:
Deep Learning for Diabetes: A Systematic Review. 2744-2757 - Carlos A. Gómez-García, Miguel Askar-Rodriguez, Jaime Velasco-Medina:
Platform for Healthcare Promotion and Cardiovascular Disease Prevention. 2758-2767 - Diliang Chen, Golnoush Asaeikheybari, Huan Chen, Wenyao Xu, Ming-Chun Huang:
Ubiquitous Fall Hazard Identification With Smart Insole. 2768-2776 - Zhiheng Li, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Lexicon Knowledge Boosted Interaction Graph Network for Adverse Drug Reaction Recognition From Social Media. 2777-2786 - Yuxin Gong, Haogang Zhu, Marco Miranda, David P. Crabb, Haolan Yang, Wei Bi, David F. Garway-Heath:
Trail-Traced Threshold Test (T4) With a Weighted Binomial Distribution for a Psychophysical Test. 2787-2800 - Lung-Hao Lee, Yi Lu:
Multiple Embeddings Enhanced Multi-Graph Neural Networks for Chinese Healthcare Named Entity Recognition. 2801-2810 - Lijun Quan, Jie Mei, Ruji He, Xiaoyu Sun, Liangpeng Nie, Kailong Li, Qiang Lyu:
Quantifying Intensities of Transcription Factor-DNA Binding by Learning From an Ensemble of Protein Binding Microarrays. 2811-2819 - Jiajing Zhu, Yongguo Liu, Yun Zhang, Dongxiao Li:
Attribute Supervised Probabilistic Dependent Matrix Tri-Factorization Model for the Prediction of Adverse Drug-Drug Interaction. 2820-2832
Volume 25, Number 8, August 2021
- Choujun Zhan, Chi K. Tse, Ying Gao, Tianyong Hao:
Comparative Study of COVID-19 Pandemic Progressions in 175 Regions in Australia, Canada, Italy, Japan, Spain, U.K. and USA Using a Novel Model That Considers Testing Capacity and Deficiency in Confirming Infected Cases. 2836-2847 - Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang:
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection. 2848-2856 - Cuong Q. Ngo, Rifai Chai, Timothy W. Jones, Hung T. Nguyen:
The Effect of Hypoglycemia on Spectral Moments in EEG Epochs of Different Durations in Type 1 Diabetes Patients. 2857-2865 - Ayse S. Cakmak, Erick Andres Perez-Alday, Giulia Da Poian, Ali Bahrami Rad, Thomas J. Metzler, Thomas Neylan, Stacey L. House, Francesca L. Beaudoin, Xinming An, Jennifer S. Stevens, Donglin Zeng, Sarah D. Linnstaedt, Tanja Jovanovic, Laura T. Germine, Kenneth A. Bollen, Scott L. Rauch, Christopher A. Lewandowski, Phyllis L. Hendry, Sophia Sheikh, Alan B. Storrow, Paul I. Musey, John P. Haran, Christopher W. Jones, Brittany E. Punches, Robert A. Swor, Nina T. Gentile, Meghan McGrath, Mark J. Seamon, Kamran Mohiuddin, Anna M. Chang, Claire Pearson, Robert M. Domeier, Steven E. Bruce, Brian J. O'Neil, Niels K. Rathlev, Leon D. Sanchez, Robert H. Pietrzak, Jutta Joormann, Deanna M. Barch, Diego A. Pizzagalli, Steven E. Harte, James M. Elliott, Ronald C. Kessler, Karestan C. Koenen, Kerry J. Ressler, Samuel A. McLean, Qiao Li, Gari D. Clifford:
Classification and Prediction of Post-Trauma Outcomes Related to PTSD Using Circadian Rhythm Changes Measured via Wrist-Worn Research Watch in a Large Longitudinal Cohort. 2866-2876 - Jing Liu, Bryan P. Yan, Shih-Chi Chen, Yuan-Ting Zhang, Charles G. Sodini, Ni Zhao:
Non-Invasive Capillary Blood Pressure Measurement Enabling Early Detection and Classification of Venous Congestion. 2877-2886 - Zhongke Gao, Xinlin Sun, Mingxu Liu, Wei-Dong Dang, Chao Ma, Guanrong Chen:
Attention-Based Parallel Multiscale Convolutional Neural Network for Visual Evoked Potentials EEG Classification. 2887-2894 - Jiuwen Cao, Long Chen, Dinghan Hu, Fang Dong, Tiejia Jiang, Weidong Gao, Feng Gao:
Unsupervised Eye Blink Artifact Detection From EEG With Gaussian Mixture Model. 2895-2905 - Fernando Vaquerizo-Villar, Daniel Álvarez, Leila Kheirandish-Gozal, Gonzalo C. Gutiérrez-Tobal, Verónica Barroso-García, Eduardo Santamaría-Vázquez, Félix del Campo, David Gozal, Roberto Hornero:
A Convolutional Neural Network Architecture to Enhance Oximetry Ability to Diagnose Pediatric Obstructive Sleep Apnea. 2906-2916 - Sami Nikkonen, Henri Korkalainen, Akseli Leino, Sami Myllymaa, Brett Duce, Timo Leppänen, Juha Töyräs:
Automatic Respiratory Event Scoring in Obstructive Sleep Apnea Using a Long Short-Term Memory Neural Network. 2917-2927 - Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
Universal Physiological Representation Learning With Soft-Disentangled Rateless Autoencoders. 2928-2937 - Lam Pham, Huy Phan, Ramaswamy Palaniappan, Alfred Mertins, Ian McLoughlin:
CNN-MoE Based Framework for Classification of Respiratory Anomalies and Lung Disease Detection. 2938-2947 - Maider Nuñez-Ibero, Borja Camino-Pontes, Ibai Díez, Asier Erramuzpe, Endika Martinez-Gutierrez, Sebastiano Stramaglia, Javier O. Alvarez-Cienfuegos, Jesús M. Cortés:
A Controlled Thermoalgesic Stimulation Device for Exploring Novel Pain Perception Biomarkers. 2948-2957 - Deqiang Xiao, Chunfeng Lian, Han Deng, Tianshu Kuang, Qin Liu, Lei Ma, Daeseung Kim, Yankun Lang, Xu Chen, Jaime Gateno, Steve Guo-Fang Shen, James J. Xia, Pew-Thian Yap:
Estimating Reference Bony Shape Models for Orthognathic Surgical Planning Using 3D Point-Cloud Deep Learning. 2958-2966 - Ran Zhou, Fumin Guo, M. Reza Azarpazhooh, Samineh Hashemi, Xinyao Cheng, John David Spence, Mingyue Ding, Aaron Fenster:
Deep Learning-Based Measurement of Total Plaque Area in B-Mode Ultrasound Images. 2967-2977 - Liyan Lin, Xi Tao, Wei Yang, Shumao Pang, Zhihai Su, Hai Lu, Shuo Li, Qianjin Feng, Bo Chen:
Quantifying Axial Spine Images Using Object-Specific Bi-Path Network. 2978-2987 - Wei Zhang, Xiujuan Zhao, Yuanyuan Chen, Jie Zhong, Zhang Yi:
DeepUWF: An Automated Ultra-Wide-Field Fundus Screening System via Deep Learning. 2988-2996 - Yonghua Yang, Rani A. Sarkis, Rima El Atrache, Tobias Loddenkemper, Christian Meisel:
Video-Based Detection of Generalized Tonic-Clonic Seizures Using Deep Learning. 2997-3008 - Jiancheng Yang, Xiaoyang Huang, Yi He, Jingwei Xu, Canqian Yang, Guozheng Xu, Bingbing Ni:
Reinventing 2D Convolutions for 3D Images. 3009-3018 - Xia-an Bi, Wenyan Zhou, Lou Li, Zhao-Xu Xing:
Detecting Risk Gene and Pathogenic Brain Region in EMCI Using a Novel GERF Algorithm Based on Brain Imaging and Genetic Data. 3019-3028 - Bo Wang, Wei Wei, Shuang Qiu, Shengpei Wang, Dan Li, Huiguang He:
Boundary Aware U-Net for Retinal Layers Segmentation in Optical Coherence Tomography Images. 3029-3040 - Meng Lv, Wei Li, Ran Tao, Nigel H. Lovell, Yue Yang, Tianqi Tu, Wenge Li:
Spatial-Spectral Density Peaks-Based Discriminant Analysis for Membranous Nephropathy Classification Using Microscopic Hyperspectral Images. 3041-3051 - Kaiyan Cui:
Dynamic MRI Reconstruction via Weighted Tensor Nuclear Norm Regularizer. 3052-3060 - Wanyi Fu, Shobhit Sharma, Ehsan Abadi, Alexandros-Stavros Iliopoulos, Qi Wang, Joseph Y. Lo, Xiaobai Sun, William Paul Segars, Ehsan Samei:
iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry. 3061-3072 - Weihua Liu, Xiabi Liu, Huiyu Li, Mincan Li, Xinming Zhao, Zheng Zhu:
Integrating Lung Parenchyma Segmentation and Nodule Detection With Deep Multi-Task Learning. 3073-3081 - Yanling Li, Adams Wai-Kin Kong, Steven Thng:
Segmenting Vitiligo on Clinical Face Images Using CNN Trained on Synthetic and Internet Images. 3082-3093 - Julio Silva-Rodríguez, Adrián Colomer, Jose Dolz, Valery Naranjo:
Self-Learning for Weakly Supervised Gleason Grading of Local Patterns. 3094-3104 - Nils Strodthoff, Claas Strodthoff, Tobias Becher, Norbert Weiler, Inéz Frerichs:
Inferring Respiratory and Circulatory Parameters from Electrical Impedance Tomography With Deep Recurrent Models. 3105-3111 - Milad Moradi, Matthias Samwald:
Explaining Black-Box Models for Biomedical Text Classification. 3112-3120 - Yiwen Meng, William Speier, Michael K. Ong, Corey W. Arnold:
Bidirectional Representation Learning From Transformers Using Multimodal Electronic Health Record Data to Predict Depression. 3121-3129 - Chun Ouyang, Zhongxue Gan, Junjie Zhen, Yuxiang Guan, Xing Zhu, Peng Zhou:
Inter-Patient Classification With Encoded Peripheral Pulse Series and Multi-Task Fusion CNN: Application in Type 2 Diabetes. 3130-3140 - Xiaofan Song, Mingyi Mao, Xiaohua Qian:
Auto-Metric Graph Neural Network Based on a Meta-Learning Strategy for the Diagnosis of Alzheimer's Disease. 3141-3152 - Senol Isci, Derya Sema Yaman Kalender, Firat Bayraktar, Alper Yaman:
Machine Learning Models for Classification of Cushing's Syndrome Using Retrospective Data. 3153-3162 - Chirag Nagpal, Xinyu Li, Artur Dubrawski:
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data With Competing Risks. 3163-3175