OOIR: Observatory of International Research

Papers

(The TQCC of Health Information Science and Systems is 9. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)

Article	Citations
Classification of COVID-19 chest X-rays with deep learning: new models or fine tuning?	125
Contact tracing apps for the COVID-19 pandemic: a systematic literature review of challenges and future directions for neo-liberal societies	75
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network	66
COVID-19 infection map generation and detection from chest X-ray images	59
Classification of normal and depressed EEG signals based on centered correntropy of rhythms in empirical wavelet transform domain	58
Detecting autism spectrum disorder using machine learning techniques	53
A hybrid AI approach for supporting clinical diagnosis of attention deficit hyperactivity disorder (ADHD) in adults	51
Classification of COVID-19 pneumonia from chest CT images based on reconstructed super-resolution images and VGG neural network	37
An algorithm for Parkinson’s disease speech classification based on isolated words analysis	36
MDU-Net: multi-scale densely connected U-Net for biomedical image segmentation	35
Monitoring COVID-19 pandemic through the lens of social media using natural language processing and machine learning	30
Machine learning models for classification and identification of significant attributes to detect type 2 diabetes	28
Automatic breast lesion segmentation in phase preserved DCE-MRIs	27
BTC-fCNN: Fast Convolution Neural Network for Multi-class Brain Tumor Classification	26
New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis	26
Hand tremor detection in videos with cluttered background using neural network based approaches	24
COVID-19 diagnosis from chest x-rays: developing a simple, fast, and accurate neural network	23
MHA: a multimodal hierarchical attention model for depression detection in social media	20
Computer-aided diagnosis of hepatocellular carcinoma fusing imaging and structured health data	19
External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count	18
Fusion of whole and part features for the classification of histopathological image of breast tissue	18
Features extraction using encoded local binary pattern for detection and grading diabetic retinopathy	17
Improving convolutional neural networks performance for image classification using test time augmentation: a case study using MURA dataset	16
A heterogeneous multi-modal medical data fusion framework supporting hybrid data exploration	16
Optical coherence tomography image based eye disease detection using deep convolutional neural network	16

Studying human-AI collaboration protocols: the case of the Kasparov’s law in radiological double reading	15
A deep reinforcement learning-based wireless body area network offloading optimization strategy for healthcare services	15
MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation	14
Holistic multi-class classification & grading of diabetic foot ulcerations from plantar thermal images using deep learning	13
Mixed pyramid attention network for nuclear cataract classification based on anterior segment OCT images	13
A method of VR-EEG scene cognitive rehabilitation training	12
Predicting the relationships between gut microbiota and mental disorders with knowledge graphs	12
Meta-path guided graph attention network for explainable herb recommendation	12
Physicians’ and pharmacists’ use of My Health Record in the emergency department: results from a mixed-methods study	11
MFDNN: multi-channel feature deep neural network algorithm to identify COVID19 chest X-ray images	11
Knowledge Graphs of Kawasaki Disease	11
SpecMEn-DL: spectral mask enhancement with deep learning models to predict COVID-19 from lung ultrasound videos	11
Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm	10
GLIMPSE: a glioblastoma prognostication model using ensemble learning—a surveillance, epidemiology, and end results study	10
Predicting special care during the COVID-19 pandemic: a machine learning approach	10
Efficacy of novel attention-based gated recurrent units transformer for depression detection using electroencephalogram signals	10
Epidemiological investigation of a COVID-19 family cluster outbreak transmitted by a 3-month-old infant	9
A framework for in-vivo human brain tumor detection using image augmentation and hybrid features	9
Identification of normal and depression EEG signals in variational mode decomposition domain	9
Embedding-based link predictions to explore latent comorbidity of chronic diseases	9
Detection and explanation of anomalies in healthcare data	9
The development of a machine learning algorithm to identify occupational injuries in agriculture using pre-hospital care reports	9
Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset	9