# Muhammad E. H. Chowdhury

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/muhammad-e-h-chowdhury/

## Facts

| Field | Value |
| --- | --- |
| Citations | 13,939 |
| Field | COVID-19 diagnosis using AI |
| h-index | 54 |
| i10-index | 220 |
| Last Known Institution | University of Nottingham |
| OpenAlex ID | https://openalex.org/A5064486960 |
| ORCID iD | 0000-0003-0744-8206 |
| Works | 428 |

## Researcher papers

- [Can AI Help in Screening Viral and COVID-19 Pneumonia?](https://scholariq.org/papers/can-ai-help-in-screening-viral-and-covid-19-pneumonia/)
- [Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images](https://scholariq.org/papers/exploring-the-effect-of-image-enhancement-techniques-on-covid-19-detection-using/)
- [Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization](https://scholariq.org/papers/reliable-tuberculosis-detection-using-chest-x-ray-with-deep-learning/)
- [Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray](https://scholariq.org/papers/transfer-learning-with-deep-convolutional-neural-network-cnn-for-pneumonia/)
- [Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques](https://scholariq.org/papers/automatic-and-reliable-leaf-disease-detection-using-deep-learning-techniques/)
- [An Internet of Things Based Smart Waste Management System Using LoRa and Tensorflow Deep Learning Model](https://scholariq.org/papers/an-internet-of-things-based-smart-waste-management-system-using-lora-and/)
- [COVID-19 infection localization and severity grading from chest X-ray images](https://scholariq.org/papers/covid-19-infection-localization-and-severity-grading-from-chest-x-ray-images/)
- [Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar](https://scholariq.org/papers/machine-learning-based-photovoltaics-pv-power-prediction-using-different/)
- [Deep learning techniques for liver and liver tumor segmentation: A review](https://scholariq.org/papers/deep-learning-techniques-for-liver-and-liver-tumor-segmentation-a-review/)
- [Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring](https://scholariq.org/papers/real-time-smart-digital-stethoscope-system-for-heart-diseases-monitoring/)
- [Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical Skills](https://scholariq.org/papers/hypospadias-reconstruction-training-development-of-an-ex-vivo-model-for/)

## Researcher topics

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Non-Invasive Vital Sign Monitoring](https://scholariq.org/topics/non-invasive-vital-sign-monitoring/)
- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [ECG Monitoring and Analysis](https://scholariq.org/topics/ecg-monitoring-and-analysis/)

## Researcher university

- [University of Nottingham](https://scholariq.org/institutions/university-of-nottingham/)

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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.