Sohaib Asif
Orcid: 0000-0003-0707-470X
According to our database1,
Sohaib Asif
authored at least 28 papers
between 2022 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Netw. Model. Anal. Health Informatics Bioinform., December, 2024
CFI-Net: A Choquet Fuzzy Integral Based Ensemble Network With PSO-Optimized Fuzzy Measures for Diagnosing Multiple Skin Diseases Including Mpox.
IEEE J. Biomed. Health Informatics, September, 2024
Enhancing pulmonary abnormality detection with an optimized CNN architecture incorporating depth-wise separable convolution and inception module.
Evol. Syst., August, 2024
GLNET: global-local CNN's-based informed model for detection of breast cancer categories from histopathological slides.
J. Supercomput., April, 2024
Improving the accuracy of diagnosing and predicting coronary heart disease using ensemble method and feature selection techniques.
Clust. Comput., April, 2024
Hybrid-NET: A fusion of DenseNet169 and advanced machine learning classifiers for enhanced brain tumor diagnosis.
Int. J. Imaging Syst. Technol., January, 2024
MozzieNet: A deep learning approach to efficiently detect malaria parasites in blood smear images.
Int. J. Imaging Syst. Technol., January, 2024
CGO-ensemble: Chaos game optimization algorithm-based fusion of deep neural networks for accurate Mpox detection.
Neural Networks, 2024
LWSE: a lightweight stacked ensemble model for accurate detection of multiple chest infectious diseases including COVID-19.
Multim. Tools Appl., 2024
LitefusionNet: Boosting the performance for medical image classification with an intelligent and lightweight feature fusion network.
J. Comput. Sci., 2024
An optimized fusion of deep learning models for kidney stone detection from CT images.
J. King Saud Univ. Comput. Inf. Sci., 2024
A novel ensemble approach with deep transfer learning for accurate identification of foodborne bacteria from hyperspectral microscopy.
Comput. Biol. Chem., 2024
Oral cancer detection using feature-level fusion and novel self-attention mechanisms.
Biomed. Signal Process. Control., 2024
DCDS-Net: Deep transfer network based on depth-wise separable convolution with residual connection for diagnosing gastrointestinal diseases.
Biomed. Signal Process. Control., 2024
Differential evolution optimization based ensemble framework for accurate cervical cancer diagnosis.
Appl. Soft Comput., 2024
A Fuzzy Minkowski Distance-based fusion of convolutional neural networks for gastrointestinal disease detection.
Appl. Soft Comput., 2024
A novel lightweight deep learning framework with knowledge distillation for efficient diabetic foot ulcer detection.
Appl. Soft Comput., 2024
ResMFuse-Net: Residual-based multilevel fused network with spatial-temporal features for hand hygiene monitoring.
Appl. Intell., 2024
2023
IR-CNN: Inception residual network for detecting kidney abnormalities from CT images.
Netw. Model. Anal. Health Informatics Bioinform., December, 2023
Metaheuristics optimization-based ensemble of deep neural networks for Mpox disease detection.
Neural Networks, October, 2023
An enhanced deep learning method for multi-class brain tumor classification using deep transfer learning.
Multim. Tools Appl., 2023
Detection of COVID-19 from chest X-ray images: Boosting the performance with convolutional neural network and transfer learning.
Expert Syst. J. Knowl. Eng., 2023
2022
IEEE Trans. Netw. Sci. Eng., 2022
Multim. Syst., 2022
Improving Effectiveness of Different Deep Transfer Learning-Based Models for Detecting Brain Tumors From MR Images.
IEEE Access, 2022
C-LSTM: CNN and LSTM Based Offloading Prediction Model in Mobile Edge Computing (MEC).
Proceedings of the 23rd IEEE International Conference on High Performance Switching and Routing, 2022
CVD19-Net: An Automated Deep Learning Model for COVID-19 Screening using Chest CT Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Modeling a Fine-Tuned Deep Convolutional Neural Network for Diagnosis of Kidney Diseases from CT Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022