Cited by
MIMIC-II Clinical Database (v2.6.0)
1172 publications cite any version of this project or its primary paper, newest first.
-
Opportunities and Challenges in Deep Compressed Sensing Techniques for Multichannel ECG Data Compression
Sushant Kumar, Ram Bilas Pachori, Bhabesh Deka et al. SN Computer Science, 2024. Cites: paper -
Robust modelling of arterial blood pressure reconstruction from photoplethysmography
Jiating Pan, Lishi Liang, Yongbo Liang et al. Scientific Reports, 2024. Cites: paper -
Data-Driven Strategies for Cardiovascular Medication Management: A Dual Approach Using Decision Tree Modeling and Process Mining
Parham Porouhan. International Conference on ICT and Knowledge Engineering, 2024. Cites: paper -
MIMIC-BP: A curated dataset for blood pressure estimation
Ivandro Sanches, Victor V. Gomes, Carlos Caetano et al. Scientific Data, 2024. Cites: paper -
Optimized robust learning framework based on big data for forecasting cardiovascular crises
Nadia G. Elseddeq, Sally M. Elghamrawy, Ali Ibrahim El-Desouky et al. Scientific Reports, 2024. Cites: paper -
Machine Learning Applied to Reference Signal-Less Detection of Motion Artifacts in Photoplethysmographic Signals: A Review
Erick Javier Argüello Prada, Javier Ferney Castillo García. Sensors, 2024. Cites: paper -
ROSE-Net: Leveraging remote photoplethysmography to estimate oxygen saturation using deep learning
Moajjem Hossain Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali et al. Biomedical Signal Processing and Control, 2024. Cites: paper -
Harnessing Moderate-Sized Language Models for Reliable Patient Data Deidentification in Emergency Department Records: Algorithm Development, Validation, and Implementation Study
Océane Dorémus, Dylan Russon, Benjamin Contrand et al. JMIR AI, 2024. Cites: paper -
rU-Net, Multi-Scale Feature Fusion and Transfer Learning: Unlocking the Potential of Cuffless Blood Pressure Monitoring With PPG and ECG
Jiaming Chen, Xueling Zhou, Lei Feng et al. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper -
Respiratory rate estimation from photoplethysmogram baseline wandering by harmonic analysis and sequential fusion
Chi Zhang, Shaoming Wei, Dong Ge et al. Biomedical Signal Processing and Control, 2024. Cites: paper -
Raw Photoplethysmography as an Enhancement for Research-Grade Wearable Activity Monitors
Paul R. Hibbing, Maryam Misal Khan. JMIR mhealth and uhealth, 2024. Cites: paper -
A review of machine learning methods for non-invasive blood pressure estimation
Ravi Pal, Joshua Le, Ákos Rudas et al. Journal of Clinical Monitoring and Computing, 2024. Cites: paper -
A survey of deep causal models and their industrial applications
Zongyu Li, Zhenfeng Zhu, Xiaobo Guo et al. Artificial Intelligence Review, 2024. Cites: paper -
Multimodal learning to predict breast cancer prognosis
Ndèye Maguette Mbaye. theses.fr (ABES), 2024. Cites: paper -
Predicting Mortality in Sepsis-Associated Acute Respiratory Distress Syndrome: A Machine Learning Approach Using the MIMIC-III Database
Shengtian Mu, Dongli Yan, Jie Tang et al. Journal of Intensive Care Medicine, 2024. Cites: paper -
Heart Pulse Transmission Parameters of Multi-Channel PPG Signals for Cuffless Estimation of Arterial Blood Pressure: Preliminary Study
Jiří Přibil, Anna Přibilová, Ivan Frollo. Electronics, 2024. Cites: paper -
Identification of Time-Series Pattern Marker in Its Application to Mortality Analysis of Pneumonia Patients in Intensive Care Unit
Suhyeon Lee, Suhyun Kim, Gayoun Koh et al. Journal of Personalized Medicine, 2024. Cites: paper -
Using machine learning to predict the risk of short-term and long-term death in acute kidney injury patients after commencing CRRT
Menglei Gu, Yalan Liu, Hongbin Sun et al. BMC Nephrology, 2024. Cites: paper -
Differentially private de-identifying textual medical document is compliant with challenging NLP analyses: Example of privacy-preserving ICD-10 code association
Yakini Tchouka, Jean-François Couchot, David Laiymani et al. Intelligent Systems with Applications, 2024. Cites: paper -
Stress Detection and Classification from PPG Signals Recorded in Different Conditions - Pilot Study
Jiří Přibil, Anna Přibilová, Ivan Frollo. International Conference on Telecommunications and Signal Processing (TSP), 2024. Cites: paper -
Wavelet-based Adaptive Boosting Method for Cuffless Blood Pressure Estimation on PYNQ-Z2
Vinit Kumar, Govindarajula V S Sai Bharadwaj, Jayesh Jayarajan et al. International Conference on Signal Processing and Communications (SPCOM), 2024. Cites: paper -
The Complete Inpatient Record Using Comprehensive Electronic Data ( CIRCE ) project: A team‐based approach to clinically validated, research‐ready electronic health record data
Andrea L.C. Schneider, Jennifer C. Ginestra, Meeta Prasad Kerlin et al. Learning Health Systems, 2024. Cites: paper -
An improved deep regression model with state space reconstruction for continuous blood pressure estimation
Liangyi Lyu, Lei Lü, Hanjie Chen et al. Computers & Electrical Engineering, 2024. Cites: paper -
Salzburg Intensive Care database (SICdb): a detailed exploration and comparative analysis with MIMIC-IV
Sina Sadeghi, Lars Hempel, Niklas Rodemund et al. Scientific Reports, 2024. Cites: paper -
P2E-LGAN: PPG to ECG Reconstruction Methodology using LSTM based Generative Adversarial Network
Rashmi Kumari, Surita Sarkar, Debeshi Dutta et al. IEEE International Symposium on Circuits and Systems proceedings, 2024. Cites: paper -
A Unified Review of Deep Learning for Automated Medical Coding
Shaoxiong Ji, Xiaobo Li, Wei Sun et al. ACM Computing Surveys, 2024. Cites: paper -
Deep-CNWO: a deep-chaotic nature whale optimization algorithm for early prediction of blood pressure disorder in smart healthcare settings
Anand Motwani, Piyush Kumar Shukla, Mahesh Kumar Pawar et al. Neural Computing and Applications, 2024. Cites: paper -
UNet-BiLSTM: A Deep Learning Method for Reconstructing Electrocardiography from Photoplethysmography
Yanke Guo, Qunfeng Tang, Zhencheng Chen et al. Electronics, 2024. Cites: paper -
Advancing cuffless blood pressure estimation: A PPG-based multi-task learning model for enhanced feature extraction and fusion
Hanguang Xiao, Aohui Zhao, Wangwang Song et al. Biomedical Signal Processing and Control, 2024. Cites: paper -
Digitalization of anesthesiology and resuscitation services: multicenter questionnaire study
Горбань Вера Ивановна, А. В. Щеголев, Проценко Денис Николаевич et al. Annals of critical care, 2024. Cites: paper -
A Continuous Non-Invasive Blood Pressure Prediction Method Based on Deep Sparse Residual U-Net Combined with Improved Squeeze and Excitation Skip Connections
Kaixuan Lai, Xusheng Wang, Congjun Cao. Sensors, 2024. Cites: paper -
A Pulse Correlation Model for PPG Signal Quality Assessment and Key Pulse Extraction
Shijie Cheng, Ruifang Liu, Hao Wu et al. IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2024. Cites: paper -
Using Data Augmentation to Improve the Accuracy of Blood Pressure Measurement Based on Photoplethysmography
Hanlin Mou, Congjian Li, Haoran Zhou et al. Electronics, 2024. Cites: paper -
An Extensible Evaluation Framework Applied to Clinical Text Deidentification Natural Language Processing Tools: Multisystem and Multicorpus Study
Paul M. Heider, Stéphane M. Meystre. Journal of Medical Internet Research, 2024. Cites: paper -
Künstliche Intelligenz in der Intensivmedizin
André Baumgart, Grietje Ch Beck, David Ghezel-Ahmadi. Medizinische Klinik - Intensivmedizin und Notfallmedizin, 2024. Cites: paper -
LR-XFL: Logical Reasoning-Based Explainable Federated Learning
Yanci Zhang, Han Yu. Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Cites: paper -
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation
Debaditya Shome, Pritam Sarkar, Ali Etemad. Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Cites: paper -
Advancing Non-Cuff Hypertension Detection: Leveraging 1D Convolutional Neural Network and Time Domain Physiological Signals
Nuryani Nuryani, Trio Pambudi Utomo, Nurhasan Agung Prabowo et al. International Journal of Online and Biomedical Engineering (iJOE), 2024. Cites: paper -
Cuffless blood pressure estimation from photoplethysmography using deep convolutional neural network and transfer learning
Hüseyin Murat Koparır, Özkan Arslan. Biomedical Signal Processing and Control, 2024. Cites: paper -
PHOTOPLETHYSMOGRAPHY BASED BLOOD PRESSURE ESTIMATION USING SYNCHROSQUEEZING TRANSFORM AND DEEP LEARNING
Yeşim Hekim Tanç, Mahmut Öztürk. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 2024. Cites: paper -
A Hybrid Deep Learning Approach for Cuff-less Noninvasive Continuous Blood Pressure Estimation Based on Photoplethysmography
Md Sadek Ali, Md Shohidul Islam, Raymond H. Chan et al. IEEE International Conference on Micro/Nano Sensors for AI, Healthcare, and Robotics (NSENS), 2024. Cites: paper -
An Intelligent Health Surveillance System: Predictive Modeling of Cardiovascular Parameters through Machine Learning Algorithms Using LoRa Communication and Internet of Medical Things (IoMT)
P. Lavanya, Dr.I.V. Subba Reddy, Dr Venkatachalam Selvakumar et al. Journal of Internet Services and Information Security, 2024. Cites: paper -
Fair non-contact blood pressure estimation using imaging photoplethysmography
Hongli Fang, Jiping Xiong, Linying He. Biomedical Optics Express, 2024. Cites: paper -
An Integrated High-Gain Wide–Dynamic Range Photoplethysmography Sensor for Cardiac Health Monitoring
Neethu Mohan, Diaaeldin Abdelrahman, Noor Faris Ali et al. IEEE Sensors Journal, 2024. Cites: paper -
Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013–2023)
Anjan Gudigar, Nahrizul Adib Kadri, U. Raghavendra et al. Computers in Biology and Medicine, 2024. Cites: paper -
Prediction of arterial blood pressure waveforms based on Multi-Task learning
Gang Ma, Lesong Zheng, Wenliang Zhu et al. Biomedical Signal Processing and Control, 2024. Cites: paper -
Etude et mise en œuvre d’un système communicant sans fil et sans radio pour la mesure de paramètres physiologiques des nouveau-nés
Amel Chehbani. theses.fr (ABES), 2024. Cites: paper -
A new cloud-based method for composition of healthcare services using deep reinforcement learning and Kalman filtering
Chongzhou Zhong, Mehdi Darbandi, Mohammad Nassr et al. Computers in Biology and Medicine, 2024. Cites: paper -
Continual learning for cuffless blood pressure estimation
Chunlin Zhang, Wenyan Wang, Xinyue Song et al. Biomedical Signal Processing and Control, 2024. Cites: paper -
Prognostic value of the systemic immuno-inflammatory index in critically ill patients with vertebral fractures
Kaiya Zhang, Xia Li, Yaoyao Xu et al. Medicine, 2024. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.