2026 Steven Lawrence Fernandes: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Rising Stars	36	799	797	32	32	112	4748
Computer Science	37	10842	10540	117	116	108	5282

Research.com Recognitions

2025 - Research.com Rising Stars Award

Overview

Steven Lawrence Fernandes is affiliated with Karunya University in India. Their research primarily spans the fields of Computer Science and Medicine, with a strong focus on Artificial Intelligence and its applications in healthcare.

Fernandes' work covers several subfields including Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, and Ophthalmology. The main topics of their research include AI in cancer detection, COVID-19 diagnosis using AI, Radiomics and Machine Learning in Medical Imaging, Anomaly Detection Techniques and Applications, Retinal Imaging and Analysis, Digital Imaging for Blood Diseases, and Brain Tumor Detection and Classification.

Their recent papers include the following:

AVNC: Attention-Based VGG-Style Network for COVID-19 Diagnosis by CBAM (2021, IEEE Sensors Journal)
Automated detection of diabetic retinopathy using convolutional neural networks on a small dataset (2020, Pattern Recognition Letters)
Deep Rank-Based Average Pooling Network for Covid-19 Recognition (2021, Computers, materials & continua/Computers, materials & continua (Print))
Computational Framework of Inverted Fuzzy C-Means and Quantum Convolutional Neural Network Towards Accurate Detection of Ovarian Tumors (2023, International Journal of E-Health and Medical Communications)
SOSPCNN: Structurally Optimized Stochastic Pooling Convolutional Neural Network for Tetralogy of Fallot Recognition (2021, Wireless Communications and Mobile Computing)

Frequent coauthors in Fernandes' publications include:

Yudong Zhang
Ashwini Kodipalli
Santosh Dasar
Sumit Kumar Jha
Hong Lin

Fernandes has published extensively in several venues, most notably:

Diagnostics
Pattern Recognition Letters
Computers, materials & continua/Computers, materials & continua (Print)
Preprints.org
IEEE Sensors Journal

In addition to journal articles, Fernandes has contributed to book publications with several recognized academic publishers. These include:

Springer International Publishing: Artificial Intelligence in Industrial Applications (2021)
Springer Science+Business Media: Disruptive Technologies for Big Data and Cloud Applications (2022)
Frontiers Media: Extracting Insights from Digital Public Health Data using Artificial Intelligence (2022)

Best Publications

A distinctive approach in brain tumor detection and classification using MRI

Javeria Amin;Muhammad Sharif;Mussarat Yasmin;Steven Lawrence Fernandes

493
Citations
Big data analysis for brain tumor detection: Deep convolutional neural networks

Javeria Amin;Muhammad Sharif;Mussarat Yasmin;Steven Lawrence Fernandes

317
Citations
Automated Detection of Alzheimer’s Disease Using Brain MRI Images– A Study with Various Feature Extraction Techniques

U. Rajendra Acharya;U. Rajendra Acharya;U. Rajendra Acharya;Steven Lawrence Fernandes;Joel En WeiKoh;Edward J. Ciaccio

317
Citations
Entropy based segmentation of tumor from brain MR images a study with teaching learning based optimization

V. Rajinikanth;Suresh Chandra Satapathy;Steven Lawrence Fernandes;S. Nachiappan

253
Citations
Classification of focal and non focal EEG using entropies

N Arunkumar;K Ramkumar;V Venkatraman;Enas Abdulhay

250
Citations
A framework for offline signature verification system: Best features selection approach

Muhammad Sharif;Muhammad Attique Khan;Muhammad Faisal;Mussarat Yasmin

197
Citations
A method for the detection and classification of diabetic retinopathy using structural predictors of bright lesions

Javeria Amin;Muhammad Sharif;Mussarat Yasmin;Hussam Ali

160
Citations
Contrast enhanced medical MRI evaluation using Tsallis entropy and region growing segmentation

N. Sri Madhava Raja;S. L. Fernandes;Nilanjan Dey;Suresh Chandra Satapathy

159
Citations
Extraction of emotions from multilingual text using intelligent text processing and computational linguistics

Vinay Kumar Jain;Shishir Kumar;Steven Lawrence Fernandes

154
Citations
A novel nonintrusive decision support approach for heart rate measurement

Steven Lawrence Fernandes;Varadraj Prabhu Gurupur;Nayak Ramesh Sunder;N Arunkumar

150
Citations
A New Approach for Brain Tumor Segmentation and Classification Based on Score Level Fusion Using Transfer Learning

Javeria Amin;Muhammad Sharif;Mussarat Yasmin;Tanzila Saba

139
Citations
AVNC: Attention-based VGG-style network for COVID-19 diagnosis by CBAM

Shui Hua Wang;Steven Fernandes;Ziquan Zhu;Yu Dong Zhang

129
Citations
AUTOMATED ULCER AND BLEEDING CLASSIFICATION FROM WCE IMAGES USING MULTIPLE FEATURES FUSION AND SELECTION

Amna Liaqat;Muhammad Attique Khan;Muhammad Attique Khan;Jamal Hussain Shah;Muhammad Sharif

127
Citations
Automated detection of diabetic retinopathy using convolutional neural networks on a small dataset

Abhishek Samanta;Aheli Saha;Suresh Chandra Satapathy;Steven Lawrence Fernandes

114
Citations
A reliable framework for accurate brain image examination and treatment planning based on early diagnosis support for clinicians

Steven Lawrence Fernandes;U. John Tanik;V. Rajinikanth;K. Arvind Karthik

108
Citations
Appearance based pedestrians’ gender recognition by employing stacked auto encoders in deep learning

Mudassar Raza;Muhammad Sharif;Mussarat Yasmin;Muhammad Attique Khan

96
Citations
Facial expressions classification and false label reduction using LDA and threefold SVM

Jamal Hussain Shah;Muhammad Sharif;Mussarat Yasmin;Steven Lawrence Fernandes

92
Citations
Segmentation and Analysis of Brain Tumor Using Tsallis Entropy and Regularised Level Set

V. Rajinikanth;Steven Lawrence Fernandes;Bharath Bhushan;Harisha

90
Citations
Segmentation of Breast Thermal Images Using Kapur's Entropy and Hidden Markov Random Field

N. Sri Madhava Raja;V. Rajinikanth;Steven Lawrence Fernandes;Suresh Chandra Satapathy

83
Citations
Otsu's Multi-Thresholding and Active Contour Snake Model to Segment Dermoscopy Images

V. Rajinikanth;N. Sri Madhavaraja;Suresh Chandra Satapathy;Steven Lawrence Fernandes

81
Citations
A Hybrid Framework to Evaluate Breast Abnormality Using Infrared Thermal Images

Steven Lawrence Fernandes;Venkatesan Rajinikanth;Seifedine Kadry

79
Citations

Frequent Co-Authors

Mussarat Yasmin University of Gujrat

Muhammad Sharif COMSATS University Islamabad

Venkatesan Rajinikanth Saveetha University

Suresh Chandra Satapathy KIIT University

Muhammad Attique Khan Prince Mohammad bin Fahd University

Seifedine Kadry Lebanese American University

U. Rajendra Acharya University of Southern Queensland

Muhammad Sharif King Fahd University of Petroleum and Minerals

Nilanjan Dey Techno International New Town

Tanzila Saba Prince Sultan University

External Links

Personal website of Steven Lawrence Fernandes

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