Sohaib Asif
Orcid: 0000-0003-0707-470X
According to our database1,
Sohaib Asif
authored at least 48 papers
between 2022 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
ShallowMRI: A novel lightweight CNN with novel attention mechanism for Multi brain tumor classification in MRI images.
Biomed. Signal Process. Control., 2026
2025
BREAST-RANKNet: a fuzzy rank-based ensemble of CNNs with residual learning for enhanced breast cancer detection from ultrasound and mammogram images.
J. Big Data, December, 2025
JuryFusionNet: a Condorcet's jury theorem-based CNN ensemble for enhanced monkeypox detection from skin lesion images.
Health Inf. Sci. Syst., December, 2025
SFI-ensemble: Sugeno fuzzy integral-based ensemble of CNN models with meta-heuristic fuzzy measures for mouth and oral disease detection.
Artif. Intell. Rev., October, 2025
SKINC-NET: an efficient Lightweight Deep Learning Model for Multiclass skin lesion classification in dermoscopic images.
Multim. Tools Appl., April, 2025
Optimize brain tumor multiclass classification with manta ray foraging and improved residual block techniques.
Multim. Syst., February, 2025
Swarm intelligence optimization-based fusion of ConvMixer-enhanced deep neural networks for brain tumor detection.
Swarm Evol. Comput., 2025
Ensemble Architecture of Vision Transformer and CNNs for Breast Cancer Tumor Detection From Mammograms.
Int. J. Imaging Syst. Technol., 2025
Optimized deep learning model for comprehensive medical image analysis across multiple modalities.
Neurocomputing, 2025
MultiResFF-Net: Multilevel Residual Block-Based Lightweight Feature Fused Network With Attention for Gastrointestinal Disease Diagnosis.
Int. J. Intell. Syst., 2025
HMDFF-Net: Hierarchical multi-scale dilated feature fusion network for accurate multiclass diagnosis of brain tumors.
Expert Syst. Appl., 2025
OSEN-IoT: An optimized stack ensemble network with genetic algorithm for robust intrusion detection in heterogeneous IoT networks.
Expert Syst. Appl., 2025
OralTransNet: A novel hybrid model integrating transformer attention and CNN features for accurate diagnosis of mouth and oral diseases.
Eng. Appl. Artif. Intell., 2025
An amalgamation of deep neural networks optimized with Salp swarm algorithm for cervical cancer detection.
Comput. Electr. Eng., 2025
A weighted Gompertz fuzzy ranking-based ensemble model for diabetic foot ulcer detection in skin and thermal imagery.
Comput. Electr. Eng., 2025
An ensemble approach of deep CNN models with Beta normalization aggregation for gastrointestinal disease detection.
Biomed. Signal Process. Control., 2025
DEO-Fusion: Differential evolution optimization for fusion of CNN models in eye disease detection.
Biomed. Signal Process. Control., 2025
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
Int. J. Imaging Syst. Technol., 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
An Explainable and Lightweight Deep Learning Model with Attention Mechanism for Efficient Lung Disease Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
LungX-Net: Lung Cancer Diagnosis from CT and Histopathological Images via Attention Based Multi-Level Feature Fusion Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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