Search Results - "IEEE journal of biomedical and health informatics"

Fully Dense UNet for 2-D Sparse Photoacoustic Tomography Artifact Removal by Guan, Steven, Khan, Amir A., Sikdar, Siddhartha, Chitnis, Parag V.

“…Photoacoustic imaging is an emerging imaging modality that is based upon the photoacoustic effect. In photoacoustic tomography (PAT), the induced acoustic…”
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A Residual Based Attention Model for EEG Based Sleep Staging by Qu, Wei, Wang, Zhiyong, Hong, Hong, Chi, Zheru, Feng, David Dagan, Grunstein, Ron, Gordon, Christopher

“…Sleep staging is to score the sleep state of a subject into different sleep stages such as Wake and Rapid Eye Movement (REM) . It plays an indispensable role…”
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A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study by Meng, Lingwei, Dong, Di, Li, Liang, Niu, Meng, Bai, Yan, Wang, Meiyun, Qiu, Xiaoming, Zha, Yunfei, Tian, Jie

“…Since its outbreak in December 2019, the persistent coronavirus disease (COVID-19) became a global health emergency. It is imperative to develop a prognostic…”
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A Hybrid DCNN-SVM Model for Classifying Neonatal Sleep and Wake States Based on Facial Expressions in Video by Awais, Muhammad, Long, Xi, Yin, Bin, Farooq Abbasi, Saadullah, Akbarzadeh, Saeed, Lu, Chunmei, Wang, Xinhua, Wang, Laishuan, Zhang, Jiong, Dudink, Jeroen, Chen, Wei

“…Sleep is a natural phenomenon controlled by the central nervous system. The sleep-wake pattern, which functions as an essential indicator of neurophysiological…”
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Fusing Heterogeneous Features From Stacked Sparse Autoencoder for Histopathological Image Analysis by Zhang, Xiaofan, Dou, Hang, Ju, Tao, Xu, Jun, Zhang, Shaoting

“…In the analysis of histopathological images, both holistic (e.g., architecture features) and local appearance features demonstrate excellent performance, while…”
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A Chair–Based Unobtrusive Cuffless Blood Pressure Monitoring System Based on Pulse Arrival Time by Zunyi Tang, Tamura, Toshiyo, Sekine, Masaki, Ming Huang, Wenxi Chen, Yoshida, Masaki, Sakatani, Kaoru, Kobayashi, Hiroshi, Kanaya, Shigehiko

“…In this paper, we present an unobtrusive cuffless blood pressure (BP) monitoring system based on pulse arrival time (PAT) for facilitating long-term home BP…”
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Delta Features From Ambient Sensor Data are Good Predictors of Change in Functional Health by Robben, Saskia, Englebienne, Gwenn, Krose, Ben

“…Sensor systems can be deployed in the homes of older adults living alone for functional health assessments. Their information is very useful for health care…”
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Near-Lossless Multichannel EEG Compression Based on Matrix and Tensor Decompositions by Dauwels, J., Srinivasan, K., Reddy, M. R., Cichocki, A.

“…A novel near-lossless compression algorithm for multichannel electroencephalogram (MC-EEG) is proposed based on matrix/tensor decomposition models. MC-EEG is…”
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Hypoxia Stress Response Pathways: Modeling and Targeted Therapy by Sridharan, Sriram, Varghese, Rajani, Venkatraj, Vijay, Datta, Aniruddha

“…Hypoxia is a consequence of the decrease in the oxygen reaching the tissues of the body. It is a prominent feature of most solid tumors and is known to promote…”
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Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis by Shickel, Benjamin, Tighe, Patrick James, Bihorac, Azra, Rashidi, Parisa

“…The past decade has seen an explosion in the amount of digital information stored in electronic health records (EHRs). While primarily designed for archiving…”
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Multi-Scale Self-Guided Attention for Medical Image Segmentation by Sinha, Ashish, Dolz, Jose

“…Even though convolutional neural networks (CNNs) are driving progress in medical image segmentation, standard models still have some drawbacks. First, the use…”
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Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks by Yap, Moi Hoon, Pons, Gerard, Marti, Joan, Ganau, Sergi, Sentis, Melcior, Zwiggelaar, Reyer, Davison, Adrian K., Marti, Robert

“…Breast lesion detection using ultrasound imaging is considered an important step of computer-aided diagnosis systems. Over the past decade, researchers have…”
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COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images by Tabik, S., Gomez-Rios, A., Martin-Rodriguez, J. L., Sevillano-Garcia, I., Rey-Area, M., Charte, D., Guirado, E., Suarez, J. L., Luengo, J., Valero-Gonzalez, M. A., Garcia-Villanova, P., Olmedo-Sanchez, E., Herrera, F.

“…Currently, Coronavirus disease (COVID-19), one of the most infectious diseases in the 21st century, is diagnosed using RT-PCR testing, CT scans and/or Chest…”
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Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach by Jelodar, Hamed, Wang, Yongli, Orji, Rita, Huang, Shucheng

“…Internet forums and public social media, such as online healthcare forums, provide a convenient channel for users (people/patients) concerned about health…”
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Deep Learning for Health Informatics by Ravi, Daniele, Charence Wong, Deligianni, Fani, Berthelot, Melissa, Andreu-Perez, Javier, Lo, Benny, Guang-Zhong Yang

“…With a massive influx of multimodality data, the role of data analytics in health informatics has grown rapidly in the last decade. This has also prompted…”
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DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices by Katsigiannis, Stamos, Ramzan, Naeem

“…In this paper, we present DREAMER, a multimodal database consisting of electroencephalogram (EEG) and electrocardiogram (ECG) signals recorded during affect…”
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AI in Medical Imaging Informatics: Current Challenges and Future Directions by Panayides, Andreas S., Amini, Amir, Filipovic, Nenad D., Sharma, Ashish, Tsaftaris, Sotirios A., Young, Alistair, Foran, David, Do, Nhan, Golemati, Spyretta, Kurc, Tahsin, Huang, Kun, Nikita, Konstantina S., Veasey, Ben P., Zervakis, Michalis, Saltz, Joel H., Pattichis, Constantinos S.

“…This paper reviews state-of-the-art research solutions across the spectrum of medical imaging informatics, discusses clinical translation, and provides future…”
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MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation by Srivastava, Abhishek, Jha, Debesh, Chanda, Sukalpa, Pal, Umapada, Johansen, Havard, Johansen, Dag, Riegler, Michael, Ali, Sharib, Halvorsen, Pal

“…Methods based on convolutional neural networks have improved the performance of biomedical image segmentation. However, most of these methods cannot…”
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A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation by Jha, Debesh, Smedsrud, Pia H., Johansen, Dag, de Lange, Thomas, Johansen, Havard D., Halvorsen, Pal, Riegler, Michael A.

“…Colonoscopy is considered the gold standard for detection of colorectal cancer and its precursors. Existing examination methods are, however, hampered by high…”
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Seven-Point Checklist and Skin Lesion Classification Using Multitask Multimodal Neural Nets by Kawahara, Jeremy, Daneshvar, Sara, Argenziano, Giuseppe, Hamarneh, Ghassan

“…We propose a multitask deep convolutional neural network, trained on multimodal data (clinical and dermoscopic images, and patient metadata), to classify the…”
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