SOTAVerified

COVID-19 Diagnosis

Covid-19 Diagnosis is the task of diagnosing the presence of COVID-19 in an individual with machine learning.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 211 papers

TitleStatusHype
Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought—0
Robust and Interpretable COVID-19 Diagnosis on Chest X-ray Images using Adversarial Training—0
Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans—0
Secure Federated Learning Approaches to Diagnosing COVID-19—0
Shayona@SMM4H23: COVID-19 Self diagnosis classification using BERT and LightGBM models—0
SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain Specific Foundation Model—0
ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation—0
Text Augmentations with R-drop for Classification of Tweets Self Reporting Covid-19—0
The challenges of deploying artificial intelligence models in a rapidly evolving pandemic—0
Theory-inspired Label Shift Adaptation via Aligned Distribution Mixture—0
The Second DiCOVA Challenge: Dataset and performance analysis for COVID-19 diagnosis using acoustics—0
Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images—0
tmn at #SMM4H 2023: Comparing Text Preprocessing Techniques for Detecting Tweets Self-reporting a COVID-19 Diagnosis—0
Towards reliable respiratory disease diagnosis based on cough sounds and vision transformers—0
Triple-view Convolutional Neural Networks for COVID-19 Diagnosis with Chest X-ray—0
Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images—0
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data—0
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images—0
Using a novel fractional-order gradient method for CNN back-propagation—0
Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough—0
Virtual vs. Reality: External Validation of COVID-19 Classifiers using XCAT Phantoms for Chest Computed Tomography—0
Vision Transformer based COVID-19 Detection using Chest X-rays—0
Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification—0
Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications—0
A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study—0
Within the Lack of COVID-19 Benchmark Dataset: A Novel GAN with Deep Transfer Learning for Corona-virus Detection in Chest X-ray Images—0
Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review—0
Data Augmentation and CNN Classification For Automatic COVID-19 Diagnosis From CT-Scan Images On Small Dataset—0
Decoding SARS-CoV-2 transmission, evolution and ramification on COVID-19 diagnosis, vaccine, and medicine—0
Deep Learning and Medical Imaging for COVID-19 Diagnosis: A Comprehensive Survey—0
COVID-19 detection using deep convolutional neural networks and binary-differential-algorithm-based feature selection on X-ray images—0
Deep Learning Models for Classification of COVID-19 Cases by Medical Images—0
Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia—0
DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis—0
Developing a multi-variate prediction model for the detection of COVID-19 from Crowd-sourced Respiratory Voice Data—0
Developing a Multi-variate Prediction Model For COVID-19 From Crowd-sourced Respiratory Voice Data—0
Diagnosing COVID-19 Pneumonia from X-Ray and CT Images using Deep Learning and Transfer Learning Algorithms—0
Diagnosis of COVID-19 based on Chest Radiography—0
DINO-CXR: A self supervised method based on vision transformer for chest X-ray classification—0
Distant Domain Transfer Learning for Medical Imaging—0
Domain Adaptation Using Pseudo Labels for COVID-19 Detection—0
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia—0
Early COVID-19 Diagnosis from Lung Ultrasound Images Combining RIULBP-TP and 3D-DenseNet—0
Pinball-OCSVM for early-stage COVID-19 diagnosis with limited posteroanterior chest X-ray images—0
Empowering COVID-19 Detection: Optimizing Performance Through Fine-Tuned EfficientNet Deep Learning Architecture—0
Enhanced detection of the presence and severity of COVID-19 from CT scans using lung segmentation—0
Enhancing COVID-19 Diagnosis through Vision Transformer-Based Analysis of Chest X-ray Images—0
Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection—0
Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 from Audio Challenges—0
Everything is Varied: The Surprising Impact of Individual Variation on ML Robustness in Medicine—0
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All datasetsCOVIDx CXR-3COVIDxCovid-19 Cough CambridgeCOVID-19 CXR DatasetCOVIDGRNovel COVID-19 Chestxray Repository

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SS-CXRPer-Class Accuracy98.25—Unverified
2DenseNet-169Per-Class Accuracy98.15—Unverified
3EfficientNet-B2Per-Class Accuracy97.6—Unverified
4Inception Resnet V2Per-Class Accuracy97.55—Unverified
5Inception ResNetPer-Class Accuracy97.5—Unverified
6DenseNet-121Per-Class Accuracy96.5—Unverified
7ViT-SPer-Class Accuracy89.25—Unverified
#ModelMetricClaimedVerifiedStatus
1Sanskar et al.3-class test accuracy98.38—Unverified
2Corona-Nidaan3-class test accuracy95—Unverified
3COVID-WideNetAUC0.95—Unverified
#ModelMetricClaimedVerifiedStatus
1AUCO ResNetAUC0.83—Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-B/32Average F10.95—Unverified
#ModelMetricClaimedVerifiedStatus
1DINO-CXRAccuracy76.47—Unverified
#ModelMetricClaimedVerifiedStatus
1Bhowal et al.ACCURACY95.49—Unverified