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About the database ScholarIQanswers from OpenAlex & ORCID
How has Nuwan Madusanka's publication output changed over time?
ScholarIQpublication output · 2018–2025
Output grew100% over the shown period — from 1 works in 2018 to 2 in 2025.
1
5
1
1
1
2
201820192021202320242025
What are the most-cited papers on Nuwan Madusanka?
ScholarIQmost cited works
Convolutional Neural Network-based MR Image Analysis for Alzheimer’s Disease Classification
Boo-Kyeong Choi, Nuwan Madusanka, Heung‐Kook Choi, Jae-Hong So, Cho‐Hee Kim, Hyeon‐Gyun Park, Subrata Bhattacharjee, Deekshitha Prakash
S189156418. 201969 Citations
Quantitative Analysis of Benign and Malignant Tumors in Histopathology: Predicting Prostate Cancer Grading Using SVM
Subrata Bhattacharjee, Hyeon‐Gyun Park, Cho‐Hee Kim, Deekshitha Prakash, Nuwan Madusanka, Jae-Hong So, Nam-Hoon Cho, Heung‐Kook Choi
Applied Sciences. 201940 CitationsOPEN ACCESS
A Systematic Review of Medical Image Quality Assessment
H. M. S. S. Herath, H.M.K.K.M.B. Herath, Nuwan Madusanka, Byeong-Il Lee
S2736465063. 202538 CitationsOPEN ACCESS
Multi-Features Classification of Prostate Carcinoma Observed in Histological Sections: Analysis of Wavelet-Based Texture and Colour Features
Subrata Bhattacharjee, Cho‐Hee Kim, Hyeon‐Gyun Park, Deekshitha Prakash, Nuwan Madusanka, Nam-Hoon Cho, Heung‐Kook Choi
Cancers. 201937 CitationsOPEN ACCESS
Leveraging Deep Learning for Fine-Grained Categorization of Parkinson’s Disease Progression Levels through Analysis of Vocal Acoustic Patterns
Hadi Sedigh Malekroodi, Nuwan Madusanka, Byeong-Il Lee, Myunggi Yi
Bioengineering. 202433 CitationsOPEN ACCESS
Related on ScholarIQ
Pukyong National University
Institution
Convolutional Neural Network-based MR Image Analysis for Alzheimer’s Disease Classification
Paper
Quantitative Analysis of Benign and Malignant Tumors in Histopathology: Predicting Prostate Cancer Grading Using SVM
Paper
A Systematic Review of Medical Image Quality Assessment
Paper
Multi-Features Classification of Prostate Carcinoma Observed in Histological Sections: Analysis of Wavelet-Based Texture and Colour Features
Paper
Leveraging Deep Learning for Fine-Grained Categorization of Parkinson’s Disease Progression Levels through Analysis of Vocal Acoustic Patterns
Paper