# Nuwan Madusanka

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/nuwan-madusanka/

## Facts

| Field | Value |
| --- | --- |
| Citations | 483 |
| Field | Brain Tumor Detection and Classification |
| h-index | 13 |
| i10-index | 17 |
| Last Known Institution | Pukyong National University |
| OpenAlex ID | https://openalex.org/A5042624267 |
| ORCID iD | 0000-0001-7982-1036 |
| Works | 41 |

## Researcher papers

- [Convolutional Neural Network-based MR Image Analysis for Alzheimer’s Disease Classification](https://scholariq.org/papers/convolutional-neural-network-based-mr-image-analysis-for-alzheimer-s-disease/)
- [Quantitative Analysis of Benign and Malignant Tumors in Histopathology: Predicting Prostate Cancer Grading Using SVM](https://scholariq.org/papers/quantitative-analysis-of-benign-and-malignant-tumors-in-histopathology/)
- [A Systematic Review of Medical Image Quality Assessment](https://scholariq.org/papers/a-systematic-review-of-medical-image-quality-assessment/)
- [Multi-Features Classification of Prostate Carcinoma Observed in Histological Sections: Analysis of Wavelet-Based Texture and Colour Features](https://scholariq.org/papers/multi-features-classification-of-prostate-carcinoma-observed-in-histological/)
- [Leveraging Deep Learning for Fine-Grained Categorization of Parkinson’s Disease Progression Levels through Analysis of Vocal Acoustic Patterns](https://scholariq.org/papers/leveraging-deep-learning-for-fine-grained-categorization-of-parkinson-s-disease/)
- [Deep Learning for Alzheimer’s Disease Classification using Texture Features](https://scholariq.org/papers/deep-learning-for-alzheimer-s-disease-classification-using-texture-features/)
- [Alzheimer's Disease Classification Based on Multi-feature Fusion](https://scholariq.org/papers/alzheimer-s-disease-classification-based-on-multi-feature-fusion/)
- [A Comparative Study of Alzheimer’s Disease Classification using Multiple Transfer Learning Models](https://scholariq.org/papers/a-comparative-study-of-alzheimer-s-disease-classification-using-multiple/)
- [Diagnosing Alzheimer’s Disease Based on Multiclass MRI Scans usingTransfer Learning Techniques](https://scholariq.org/papers/diagnosing-alzheimer-s-disease-based-on-multiclass-mri-scans-usingtransfer/)
- [Impact of H&E Stain Normalization on Deep Learning Models in Cancer Image Classification: Performance, Complexity, and Trade-Offs](https://scholariq.org/papers/impact-of-h-and-amp-e-stain-normalization-on-deep-learning-models-in-cancer/)
- [Advancing Medical Training with Mixed Reality and Haptic Feedback Simulator for Acupuncture Needling](https://scholariq.org/papers/advancing-medical-training-with-mixed-reality-and-haptic-feedback-simulator-for/)

## Researcher topics

- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [Dementia and Cognitive Impairment Research](https://scholariq.org/topics/dementia-and-cognitive-impairment-research/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Voice and Speech Disorders](https://scholariq.org/topics/voice-and-speech-disorders/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Researcher university

- [Pukyong National University](https://scholariq.org/institutions/pukyong-national-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.