# Muhammad Attique Khan

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/muhammad-attique-khan/

## Facts

| Field | Value |
| --- | --- |
| Citations | 16,923 |
| Field | AI in cancer detection |
| h-index | 73 |
| i10-index | 243 |
| Last Known Institution | Prince Mohammad bin Fahd University |
| OpenAlex ID | https://openalex.org/A5100710942 |
| ORCID iD | 0000-0002-6347-4890 |
| Works | 334 |

## Researcher papers

Showing 12 of 14.

- [An automated detection and classification of citrus plant diseases using image processing techniques: A review](https://scholariq.org/papers/an-automated-detection-and-classification-of-citrus-plant-diseases-using-image/)
- [Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection](https://scholariq.org/papers/detection-and-classification-of-citrus-diseases-in-agriculture-based-on/)
- [Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists](https://scholariq.org/papers/multimodal-brain-tumor-classification-using-deep-learning-and-robust-feature/)
- [A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics](https://scholariq.org/papers/a-review-on-multimodal-medical-image-fusion-compendious-analysis-of-medical/)
- [Active deep neural network features selection for segmentation and recognition of brain tumors using MRI images](https://scholariq.org/papers/active-deep-neural-network-features-selection-for-segmentation-and-recognition/)
- [Microscopic brain tumor detection and classification using <scp>3D CNN</scp> and feature selection architecture](https://scholariq.org/papers/microscopic-brain-tumor-detection-and-classification-using-scp-3d-cnn-scp-and/)
- [A decision support system for multimodal brain tumor classification using deep learning](https://scholariq.org/papers/a-decision-support-system-for-multimodal-brain-tumor-classification-using-deep/)
- [A citrus fruits and leaves dataset for detection and classification of citrus diseases through machine learning](https://scholariq.org/papers/a-citrus-fruits-and-leaves-dataset-for-detection-and-classification-of-citrus/)
- [Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization](https://scholariq.org/papers/skin-lesion-segmentation-and-multiclass-classification-using-deep-learning/)
- [Human action recognition using fusion of multiview and deep features: an application to video surveillance](https://scholariq.org/papers/human-action-recognition-using-fusion-of-multiview-and-deep-features-an/)
- [A Sustainable Deep Learning Framework for Object Recognition Using Multi-Layers Deep Features Fusion and Selection](https://scholariq.org/papers/a-sustainable-deep-learning-framework-for-object-recognition-using-multi-layers/)
- [VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images](https://scholariq.org/papers/vgg19-network-assisted-joint-segmentation-and-classification-of-lung-nodules-in/)

## Researcher topics

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Researcher university

- [Prince Mohammad bin Fahd University](https://scholariq.org/institutions/prince-mohammad-bin-fahd-university/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.