# Bahadar Bhatia

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/bahadar-bhatia/

## Facts

| Field | Value |
| --- | --- |
| Citations | 182 |
| Field | Medical Imaging Techniques and Applications |
| h-index | 6 |
| i10-index | 4 |
| Last Known Institution | Cairo University |
| OpenAlex ID | https://openalex.org/A5060241077 |
| ORCID iD | 0000-0002-4522-2665 |
| Works | 16 |

## Researcher papers

- [Evaluating Explainable Artificial Intelligence (XAI) techniques in chest radiology imaging through a human-centered Lens](https://scholariq.org/papers/evaluating-explainable-artificial-intelligence-xai-techniques-in-chest-radiology/)
- [Characterisation of a high resolution small field of view portable gamma camera](https://scholariq.org/papers/characterisation-of-a-high-resolution-small-field-of-view-portable-gamma-camera/)
- [A scheme for assessing the performance characteristics of small field-of-view gamma cameras](https://scholariq.org/papers/a-scheme-for-assessing-the-performance-characteristics-of-small-field-of-view/)
- [A small field of view camera for hybrid gamma and optical imaging](https://scholariq.org/papers/a-small-field-of-view-camera-for-hybrid-gamma-and-optical-imaging/)
- [IoT-based Emulated Performance Evaluation NLP Model for Advanced Learners in Academia 4.0 and Industries 4.0](https://scholariq.org/papers/iot-based-emulated-performance-evaluation-nlp-model-for-advanced-learners-in/)
- [Explained Deep Learning Framework for COVID-19 Detection in Volumetric CT Images Aligned with the British Society of Thoracic Imaging Reporting Guidance: A Pilot Study](https://scholariq.org/papers/explained-deep-learning-framework-for-covid-19-detection-in-volumetric-ct-images/)
- [CHERIE: User-Centred Development of an XAI System for Chest Radiology through Co-Design](https://scholariq.org/papers/cherie-user-centred-development-of-an-xai-system-for-chest-radiology-through-co/)
- [Building a novel AI framework for teachers and authors to create effective learning contents](https://scholariq.org/papers/building-a-novel-ai-framework-for-teachers-and-authors-to-create-effective/)
- [Delineating COVID-19 subgroups using routine clinical data identifies distinct in-hospital outcomes](https://scholariq.org/papers/delineating-covid-19-subgroups-using-routine-clinical-data-identifies-distinct/)
- [Explainable Deep Learning Framework for Ground Glass Opacity (GGO) Segmentation from Chest CT Scans](https://scholariq.org/papers/explainable-deep-learning-framework-for-ground-glass-opacity-ggo-segmentation/)

## Researcher topics

- [Medical Imaging Techniques and Applications](https://scholariq.org/topics/medical-imaging-techniques-and-applications/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Advanced X-ray and CT Imaging](https://scholariq.org/topics/advanced-x-ray-and-ct-imaging/)
- [Advanced Radiotherapy Techniques](https://scholariq.org/topics/advanced-radiotherapy-techniques/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

## Researcher university

- [Cairo University](https://scholariq.org/institutions/cairo-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.