Subrata Chakraborty at University of New England - Research Interests, Publications & Academic Profile

Subrata Chakraborty

Senior Lecturer (Computational Science)

University of New England

Australia

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Research Interests

Computational Neuroscience

40%

Medical Imaging

50%

Deep Learning

30%

Computational Imaging

30%

Neuroinformatics

30%

Eeg

20%

Tumor Heterogeneity

20%

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Articles19

Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques

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2024

Artificial Intelligence-based Suicide Prevention and Prediction: A Systematic Review (2019-2023)

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2024

An automated earthquake classification model based on a new butterfly pattern using seismic signals

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2024

MultiModal ensemble approach leveraging spatial, skeletal, and edge features for enhanced Bangla Sign Language recognition

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2024

Improving Teaching and Learning in Higher Education through Machine Learning: Proof of Concept’ of AI’s Ability to Assess the Use of Key Microskills

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2024

Improved Video-Based Point Cloud Compression via Segmentation

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2024

Automated schizophrenia detection model using blood sample scattergram images and local binary pattern

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2024

Quantum Machine‑Based Decision Support System for the Detection of Schizophrenia from EEG Records

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2024

An empirical wavelet transform-based approach for motion artifact removal in electroencephalogram signals

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2024

LSGP-USFNet: Automated Attention Deficit Hyperactivity Disorder Detection Using Locations of Sophie Germain’s Primes on Ulam’s Spiral-Based Features with Electroencephalogram Signals

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2023

Development of Debiasing Technique for Lung Nodule Chest X-ray Datasets to Generalize Deep Learning Models

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2023

Development of Debiasing Technique for Lung Nodule Chest X-ray Datasets to Generalize Deep Learning Models

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2023

Two-Speed Deep-Learning Ensemble for Classification of Incremental Land-Cover Satellite Image Patches

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2023

Teaching project management to primary school children: a scoping review

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2023

Remote-Sensing Data and Deep-Learning Techniques in Crop Mapping and Yield Prediction: A Systematic Review

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2023

A Comparison of LSTM and GRU for Bengali Speech-to-Text Transformation

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2023

An XAI Integrated Identification System of White Blood Cell Type Using Variants of Vision Transformer

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2023

CNN-Based Handwriting Analysis for the Prediction of Autism Spectrum Disorder

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2023

PFP-HOG: Pyramid and Fixed-Size Patch-Based HOG Technique for Automated Brain Abnormality Classification with MRI

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Year:

2023

Collaborators13

Faranak Tohidi

Charles Sturt University

AUSTRALIA

Mohammad Zavid Parvez

Charles Sturt University

AUSTRALIA

Douglas Eacersall

Lecturer and Learning Advisor HDR

University of Southern Queensland

AUSTRALIA

Prabal Datta Barua

University of New England

AUSTRALIA

Shirley O'Neill

Professor/Head of School

University of Southern Queensland - Springfield Campus

AUSTRALIA

Nusrat Homaira

Senior Lecturer and NHMRC Reserach Fellow

UNSW Sydney

AUSTRALIA

Seyum Getenet

University of Southern Queensland

AUSTRALIA

Biswajeet Pradhan

University of Sydney

AUSTRALIA

Anwaar Ulhaq

Charles Sturt University

AUSTRALIA

Abdul Hafeez-Baig

University of Southern Queensland

AUSTRALIA

Oliver Faust

Associate Professor

Anglia Ruskin University - Cambridge Campus

UNITED KINGDOM

Manoranjan Paul

Charles Sturt University

AUSTRALIA

Filippo Molinari

Full Professor of Bioengineering

Politecnico di Torino

ITALY

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