[LGPR] Publication Success Series- Dr Bharati Ainapure

#LGPR #SCI #SCOPUS #PublicationSuccess

Dr Bharti Sanjay Ainapure, LGPR Candidate published as a First and Corresponding Author.

Unique Feature of the LGPR programme is that the Postdoctoral Candidate gets the opportunity to be both the first as well as co-corresponding author. I do not know many programmes that encourage this kind of an ethical practice. Academic world has been marred with unethical practices world-wide and it is pleasing to see such exemplary ethical policies enforced by the Lincoln University College Malaysia & LGPR's team. ______ Prof. Dr. Yong J Baek, Korean Association of Industries

Engineering Research Express 7(4) (2025) 327-334

Journal Indexes: Impact factor 1.6 | CiteScore 1.9

Indexing: SCI and SCOPUS

Quartile: Q2

Scope

Engineering Research Express™ is a broad, multidisciplinary journal devoted to publishing new experimental and theoretical research covering topics extending across all areas of engineering science including interdisciplinary fields. The journal is committed to fast review and operates a transparent editorial selection and feedback process focused on the scientific rigour of the work, rather than its perceived impact or novelty. The journal is characterized by article length flexibility and a fast-track peer-review process.

Topics of particular interest include:

• Electrical Engineering – including control engineering, quantum engineering, electronic engineering, optical engineering, power engineering and semiconductor engineering.

• Mechanical Engineering – including aeronautical engineering, automotive engineering and vacuum engineering.

• Civil Engineering – including environmental engineering, hydraulic engineering, ocean and geophysical engineering, and structural engineering.

• Chemical Engineering – including bioengineering, chemical synthesis and refining, materials engineering and microfabrication.

• Data/AI Engineering and Robotics – including information engineering, cybersecurity, systems engineering, automation and control, image recognition and processing, algorithm engineering and optimisation.

• Industrial and Manufacturing Engineering – including manufacturing engineering, production systems, additive manufacturing, quality and reliability engineering.

Why publish with Engineering Research Express?

• Broad scope: Engineering Research Express has been designed to represent all engineering scientists worldwide with a subject coverage that reflects how engineering today now interfaces with communities extending across physics, materials science, chemistry, bioscience, and the industry sector.

• Inclusive peer-review policy: no subjective assessment is made on the potential future significance or perceived novelty of your paper. Instead, we rigorously assess papers based on the validity of the research, the scientific methodology used, and to ensure all papers meet high ethical standards.

• High standards: Engineering Research Express operates a transparent editorial selection and feedback process focused on scientific validity and rigour. Articles will be peer reviewed by IOP Publishing’s global network of expert reviewers.

• Fast publication: We are committed to providing you with a fast, professional service to ensure rapid first decision, acceptance and publication. Once accepted, your article will be accessible to readers within 24 hours and will include a citable DOI.

• Transfer opportunities: As well as accepting direct submissions, the journal also offers you a quick and easy solution to transfer your manuscript from another IOP Publishing journal if it does not fit that journal’s scope or significance criteria. Articles are transferred along with peer review reports to save time and avoid duplication of work for reviewers.

• Society owned: IOP Publishing is a leading society publisher of advanced physics research. Any profits generated by IOP Publishing are invested in the Institute of Physics, helping to support research, education and outreach around the world.

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TriDx: a unified GAN-CNN-GenAI framework for accurate and accessible spinal metastases diagnosis

https://doi.org/10.14419/jk48hn96

Bharati Ainapure*

Department of Computer Science Engineering, Lincoln University College, Petaling Jaya, Malaysia

Vishwakarma University, Pune, Maharashtra,India

 Shrikaant Kulkarni

Sanjeevani University, Maharashtra,India

 J Midhunchakkaravarthy

Lincoln University College, Petaling Jaya, Malaysia

Abstract

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Spinal metastases are a frequent complication among cancer patients and can lead to severe neurological deficits. Accurate, efficient, and interpretable diagnosis is critical for timely treatment. Traditional radiological assessments are time-consuming, subjective, and limited by inter-observer variability. To address these challenges, this work presents TriDx, a novel unified framework integrating Generative Adversarial Networks (GANs), Convolutional Neural Networks (CNNs), and Generative AI (GenAI) for comprehensive diagnosis and report generation. Using the Spine-Mets CT Segmentation dataset from The Cancer Imaging Archive (TCIA), TriDx enhances image quality, learns fine-grained features, and produces radiology-like diagnostic reports. Our approach outperforms baseline models in segmentation accuracy, classification robustness, and diagnostic interpretability, paving the way for scalable AI-driven solutions in cancer diagnostics. TriDx achieves superior quantitative performance, with a Dice Score of 0.894, Hausdorff Distance95 (HD95) of 4.9mm, and classification accuracy of 92.3%, significantly outperforming baseline methods such as standalone 3D U-Net (Dice 0.851) and GAN-enhanced U-Net (Dice 0.880). In generative assessment, TriDx reports a Fréchet Inception Distance (FID) of 14.2 and a BLEU score of 0.76 for report quality.

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