Deep Ensemble Model for Classification of Novel Coronavirus in Chest X‐Ray Images

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SSGCN: a sampling sequential guided graph convolutional network

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Wang, R., Chen, L.-C., Moukheiber, L., Seastedt, K. P., Moukheiber, M., Moukheiber, D., Zaiman, Z., Moukheiber, S., Litchman, T., Trivedi, H., et al. (2023) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2023.105211 · Cited by 10 · see citing works

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Yağın, F. H., Güldoğan, E., UCUZAL, H., & Çolak, C. (2021) · Konuralp Tıp Dergisi · doi:10.18521/ktd.947192 · Cited by 10 · see citing works

Combating medical noisy labels by disentangled distribution learning and consistency regularization

Zhou, Y., Huang, L., Zhou, T., & Sun, H. (2022) · Future Generation Computer Systems · doi:10.1016/j.future.2022.12.018 · Cited by 9 · see citing works

Deviation-support based fuzzy ensemble of multi-modal deep learning classifiers for breast cancer prognosis prediction

Arya, N., & Saha, S. (2023) · Scientific Reports · doi:10.1038/s41598-023-47543-5 · Cited by 9 · see citing works

Binary semantic segmentation for detection of prostate adenocarcinoma using an ensemble with attention and residual U-Net architectures

Damkliang, K., Thongsuksai, P., Kayasut, K., Wongsirichot, T., Jitsuwan, C., & Boonpipat, T. (2023) · PeerJ Computer Science · doi:10.7717/peerj-cs.1767 · Cited by 8 · see citing works

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Investigation of Pneumonia Detection using Convolutional Neural Networks

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Ensemble Pre-Trained Deep Convolutional Neural Network Model for Classifying Medical Image Datasets

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Screening of Cardiomegaly using Ensemble Model of InceptionV3 and MobileNet

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Ensemble learning based on relative accuracy approach and diversity teams

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Coronavirus Detection Using Two Step-AS Clustering and Ensemble Neural Network Model

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Comparative Study of LBP and HOG Feature Extraction Techniques for COVID-19 Pneumonia Classification

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Epidemic Modeling, Prediction, and Control

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MSTAC: A Multi-Stage Automated Classification of COVID-19 Chest X-ray Images Using Stacked CNN Models

Phumkuea, T., Wongsirichot, T., Damkliang, K., Navasakulpong, A., & Andritsch, J. (2023) · Tomography · doi:10.3390/tomography9060173 · Cited by 1 · see citing works

A Study of Ensemble Deep Learning Method Using Transfer Learning for Horticultural Data Classification

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Deep Learning-Based Colorectal Cancer Image Segmentation and Classification: A Concise Bibliometric Analysis

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Radiographic Image Processing Analysis for Lung Infection - A Review

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Prediction of COVID-19 Patients from X-Rays using Ensemble Deep Transfer Learning TechniquesPreprint

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Automatic Diagnosis of Multiple Lung Diseases in Chest Radiographs Based on Ensemble CNN ModelsPreprint

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Peer Review #3 of "Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images (v0.1)"

(2022) · PeerJ Computer Science · doi:10.7287/peerj-cs.1031v0.1/reviews/3

Peer Review #2 of "Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images (v0.1)"

(2022) · PeerJ Computer Science · doi:10.7287/peerj-cs.1031v0.1/reviews/2

Peer Review #1 of "Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images (v0.2)"

(2022) · PeerJ Computer Science · doi:10.7287/peerj-cs.1031v0.2/reviews/1

Peer Review #2 of "Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images (v0.2)"

(2022) · PeerJ Computer Science · doi:10.7287/peerj-cs.1031v0.2/reviews/2

Peer Review #3 of "Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images (v0.2)"

(2022) · PeerJ Computer Science · doi:10.7287/peerj-cs.1031v0.2/reviews/3

Peer Review #1 of "Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images (v0.1)"

(2022) · PeerJ Computer Science · doi:10.7287/peerj-cs.1031v0.1/reviews/1

Comparative Analysis of Deep Learning Models for Covid-19 Detection from Chest X-rays

Sreena, V. G., Deepa, P. L., & Ponraj, D. N. (2022) · International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON) · doi:10.1109/centcon56610.2022.10051238

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Rahman, M. M., Mazumder, M. S. A., Amin, M. R., Hoque, M. M., Tamuly, A., & Joy, M. I. K. (2025) · International Conference on Circuit, Systems and Communication (ICCSC) · doi:10.1109/iccsc66714.2025.11135082

Chest X-Ray Based Tuberculosis Screening Using Transfer Learning and Ensemble Deep Learning Models

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Detection COVID-19 Using Deep Learning

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ECG rogation lung cancer detection using CNN technique

Gupta, A., Nidubrolu, T., Fatima, I., Reddy, K. V. J. C., & Khaliq, S. A. (2026) · AIP conference proceedings · doi:10.1063/5.0330142

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COVID Detection Using Chest X-ray Images Using Ensembled Deep Learning

Beniwal, R., Vaishy, A., Aryan, A., & Dhama, G. K. (2023) · Smart innovation, systems and technologies · doi:10.1007/978-981-19-7524-0_48 · Cited by 2 · see citing works

COVID-19 Detection from Chest X-ray Using Deep Learning Ensemble Classifier

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Deb, S. D., Jha, R. K., Jha, K., & Tripathi, P. S. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.103126 · Cited by 52 · see citing works