Modeling a Fine-Tuned Deep Convolutional Neural Network for Diagnosis of Kidney Diseases from CT Images. - Sohaib Asif; Wenhui Yi; Jinhai Si; Qurrat Ul Ain; Yi Yueyang; Hou Jin (BIBM, 2022)

CVD19-Net: An Automated Deep Learning Model for COVID-19 Screening using Chest CT Images. - Sohaib Asif; Wenhui Yi; Jinhai Si; Zafran Waheed; Yi Yueyang; Hou Jin (BIBM, 2022)

C-LSTM: CNN and LSTM Based Offloading Prediction Model in Mobile Edge Computing (MEC). - Ming Zhao 007; Yixiang Li; Sohaib Asif; Yusen Zhu; Fengxiao Tang (HPSR, 2022)

Improving Effectiveness of Different Deep Transfer Learning-Based Models for Detecting Brain Tumors From MR Images. - Sohaib Asif; Wenhui Yi; Qurrat Ul Ain; Jin Hou; Tao Yi; Jinhai Si (IEEE Access, 2022)

A deep learning-based framework for detecting COVID-19 patients using chest X-rays. - Sohaib Asif; Ming Zhao 007; Fengxiao Tang; Yusen Zhu (Multim. Syst., 2022)

Learning Based Massive Data Offloading in the IoV: Routing Based on Pre-RLGA. - Ming Zhao 007; Jiahua Li; Fengxiao Tang; Sohaib Asif; Yusen Zhu (IEEE Trans. Netw. Sci. Eng., 2022)

Detection of COVID-19 from chest X-ray images: Boosting the performance with convolutional neural network and transfer learning. - Sohaib Asif; Wenhui Yi; Kamran Amjad; Hou Jin; Tao Yi; Jinhai Si (Expert Syst. J. Knowl. Eng., 2023)

An enhanced deep learning method for multi-class brain tumor classification using deep transfer learning. - Sohaib Asif; Ming Zhao 007; Fengxiao Tang; Yusen Zhu (Multim. Tools Appl., 2023)

Metaheuristics optimization-based ensemble of deep neural networks for Mpox disease detection. - Sohaib Asif; Ming Zhao 007; Fengxiao Tang; Yusen Zhu; Baokang Zhao (Neural Networks, 2023)

IR-CNN: Inception residual network for detecting kidney abnormalities from CT images. - Sohaib Asif; Qurrat Ul Ain; Muhammad Awais; Saif Ur Rehman Khan 002 (Netw. Model. Anal. Health Informatics Bioinform., 2023)

LungX-Net: Lung Cancer Diagnosis from CT and Histopathological Images via Attention Based Multi-Level Feature Fusion Network. - Sohaib Asif; Vicky Yang Wang; Dong Xu 002 (BIBM, 2024)

An Explainable and Lightweight Deep Learning Model with Attention Mechanism for Efficient Lung Disease Detection. - Tingting Qian; Sohaib Asif; Yuke Lin; Jincao Yao; Enyu Wang; Vicky Yang Wang; Dong Xu 006 (BIBM, 2024)

ResMFuse-Net: Residual-based multilevel fused network with spatial-temporal features for hand hygiene monitoring. - Sohaib Asif; Xinyi Xu; Ming Zhao 007; Xuehan Chen; Fengxiao Tang; Yusen Zhu (Appl. Intell., 2024)

A novel lightweight deep learning framework with knowledge distillation for efficient diabetic foot ulcer detection. - Kamran Amjad; Sohaib Asif; Zafran Waheed; Ying Guo (Appl. Soft Comput., 2024)

A Fuzzy Minkowski Distance-based fusion of convolutional neural networks for gastrointestinal disease detection. - Sohaib Asif; Qurrat Ul Ain (Appl. Soft Comput., 2024)

Differential evolution optimization based ensemble framework for accurate cervical cancer diagnosis. - Omair Bilal; Sohaib Asif; Ming Zhao 007; Yangfan Li; Fengxiao Tang; Yusen Zhu (Appl. Soft Comput., 2024)

DCDS-Net: Deep transfer network based on depth-wise separable convolution with residual connection for diagnosing gastrointestinal diseases. - Sohaib Asif; Ming Zhao 007; Fengxiao Tang; Yusen Zhu (Biomed. Signal Process. Control., 2024)

Oral cancer detection using feature-level fusion and novel self-attention mechanisms. - Saif Ur Rehman Khan 002; Sohaib Asif (Biomed. Signal Process. Control., 2024)

A novel ensemble approach with deep transfer learning for accurate identification of foodborne bacteria from hyperspectral microscopy. - Qurrat Ul Ain; Sohaib Asif (Comput. Biol. Chem., 2024)

Deep hybrid model for Mpox disease diagnosis from skin lesion images. - Saif Ur Rehman Khan 002; Sohaib Asif; Omair Bilal; Sajid Ali (Int. J. Imaging Syst. Technol., 2024)

An optimized fusion of deep learning models for kidney stone detection from CT images. - Sohaib Asif; Xiaolong Zheng; Yusen Zhu (J. King Saud Univ. Comput. Inf. Sci., 2024)

LitefusionNet: Boosting the performance for medical image classification with an intelligent and lightweight feature fusion network. - Sohaib Asif; Qurrat Ul Ain; Raeed Al-Sabri; Monir Abdullah (J. Comput. Sci., 2024)

LWSE: a lightweight stacked ensemble model for accurate detection of multiple chest infectious diseases including COVID-19. - Sohaib Asif; Ming Zhao 007; Fengxiao Tang; Yusen Zhu (Multim. Tools Appl., 2024)

CGO-ensemble: Chaos game optimization algorithm-based fusion of deep neural networks for accurate Mpox detection. - Sohaib Asif; Ming Zhao 007; Yangfan Li; Fengxiao Tang; Yusen Zhu (Neural Networks, 2024)

MozzieNet: A deep learning approach to efficiently detect malaria parasites in blood smear images. - Sohaib Asif; Saif Ur Rehman Khan 002; Xiaolong Zheng; Ming Zhao 007 (Int. J. Imaging Syst. Technol., 2024)

Hybrid-NET: A fusion of DenseNet169 and advanced machine learning classifiers for enhanced brain tumor diagnosis. - Saif Ur Rehman Khan 002; Ming Zhao 007; Sohaib Asif; Xuehan Chen (Int. J. Imaging Syst. Technol., 2024)

Improving the accuracy of diagnosing and predicting coronary heart disease using ensemble method and feature selection techniques. - Sohaib Asif; Wenhui Yi; Qurrat Ul Ain; Yi Yueyang; Jinhai Si (Clust. Comput., 2024)

GLNET: global-local CNN's-based informed model for detection of breast cancer categories from histopathological slides. - Saif Ur Rehman Khan 002; Ming Zhao 007; Sohaib Asif; Xuehan Chen; Yusen Zhu (J. Supercomput., 2024)

Enhancing pulmonary abnormality detection with an optimized CNN architecture incorporating depth-wise separable convolution and inception module. - Sohaib Asif; Qurrat Ul Ain (Evol. Syst., 2024)

CFI-Net: A Choquet Fuzzy Integral Based Ensemble Network With PSO-Optimized Fuzzy Measures for Diagnosing Multiple Skin Diseases Including Mpox. - Sohaib Asif; Ming Zhao 007; Yangfan Li; Fengxiao Tang; Yusen Zhu (IEEE J. Biomed. Health Informatics, 2024)

A deep ensemble learning framework for COVID-19 detection in chest X-ray images. - Sohaib Asif; Qurrat Ul Ain; Muhammad Awais; Kamran Amjad; Omair Bilal; Raeed Al-Sabri; Monir Abdullah (Netw. Model. Anal. Health Informatics Bioinform., 2024)

DEO-Fusion: Differential evolution optimization for fusion of CNN models in eye disease detection. - Sohaib Asif (Biomed. Signal Process. Control., 2025)

An ensemble approach of deep CNN models with Beta normalization aggregation for gastrointestinal disease detection. - Zafran Waheed; Jinsong Gui; Kamran Amjad; Ikram Waheed; Sohaib Asif (Biomed. Signal Process. Control., 2025)

A weighted Gompertz fuzzy ranking-based ensemble model for diabetic foot ulcer detection in skin and thermal imagery. - Kamran Amjad; Sohaib Asif; Zafran Waheed; Muhammad Ali Khalid; Ying Guo (Comput. Electr. Eng., 2025)

An amalgamation of deep neural networks optimized with Salp swarm algorithm for cervical cancer detection. - Omair Bilal; Sohaib Asif; Ming Zhao 007; Saif Ur Rehman Khan 002; Yangfan Li (Comput. Electr. Eng., 2025)

OralTransNet: A novel hybrid model integrating transformer attention and CNN features for accurate diagnosis of mouth and oral diseases. - Sohaib Asif; Vicky Yang Wang; Dong Xu (Eng. Appl. Artif. Intell., 2025)

OSEN-IoT: An optimized stack ensemble network with genetic algorithm for robust intrusion detection in heterogeneous IoT networks. - Sohaib Asif (Expert Syst. Appl., 2025)

HMDFF-Net: Hierarchical multi-scale dilated feature fusion network for accurate multiclass diagnosis of brain tumors. - Sohaib Asif; Enyu Wang; Vicky Yang Wang; Dong Xu 006 (Expert Syst. Appl., 2025)

MultiResFF-Net: Multilevel Residual Block-Based Lightweight Feature Fused Network With Attention for Gastrointestinal Disease Diagnosis. - Sohaib Asif; Yajun Ying; Tingting Qian; Jun Yao; Jinjie Qu; Vicky Yang Wang; Rongbiao Ying; Dong Xu (Int. J. Intell. Syst., 2025)

Optimized deep learning model for comprehensive medical image analysis across multiple modalities. - Saif Ur Rehman Khan 002; Sohaib Asif; Ming Zhao 007; Wei Zou; Yangfan Li; Xiangmin Li (Neurocomputing, 2025)

Ensemble Architecture of Vision Transformer and CNNs for Breast Cancer Tumor Detection From Mammograms. - Saif Ur Rehman Khan 002; Sohaib Asif; Omair Bilal (Int. J. Imaging Syst. Technol., 2025)

Swarm intelligence optimization-based fusion of ConvMixer-enhanced deep neural networks for brain tumor detection. - Sohaib Asif; Rongbiao Ying; Enyu Wang (Swarm Evol. Comput., 2025)

Optimize brain tumor multiclass classification with manta ray foraging and improved residual block techniques. - Saif Ur Rehman Khan 002; Sohaib Asif; Ming Zhao 007; Wei Zou; Yangfan Li (Multim. Syst., 2025)

SKINC-NET: an efficient Lightweight Deep Learning Model for Multiclass skin lesion classification in dermoscopic images. - Sohaib Asif; Qurrat Ul Ain; Saif Ur Rehman Khan 002; Kamran Amjad; Muhammad Awais (Multim. Tools Appl., 2025)

SFI-ensemble: Sugeno fuzzy integral-based ensemble of CNN models with meta-heuristic fuzzy measures for mouth and oral disease detection. - Sohaib Asif; Shasha Chen; Yajun Ying; Changfu Zheng; Vicky Yang Wang; Enyu Wang; Dong Xu (Artif. Intell. Rev., 2025)

JuryFusionNet: a Condorcet's jury theorem-based CNN ensemble for enhanced monkeypox detection from skin lesion images. - Sohaib Asif; Fazal Hadi (Health Inf. Sci. Syst., 2025)

BREAST-RANKNet: a fuzzy rank-based ensemble of CNNs with residual learning for enhanced breast cancer detection from ultrasound and mammogram images. - Sohaib Asif; Lingying Zhu; Dane Yan; Luman Xu; Zhengqiu Huang; Haimin Xu; Ruxuan Yan; Linghong Cai; Changfu Zheng; Jiamei Lin; Enyu Wang (J. Big Data, 2025)

ShallowMRI: A novel lightweight CNN with novel attention mechanism for Multi brain tumor classification in MRI images. - Saif Ur Rehman Khan 002; Sohaib Asif; Ming Zhao 007; Wei Zou; Yangfan Li; Chenggen Xiao (Biomed. Signal Process. Control., 2026)