Author

I. Tayubi

3 papers indexed here

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Conference Aug 2026

An Explainable Transfer Learning Framework for Breast Cancer Classification Using Deep CNN Models

When it comes to cancers affecting women, breast cancer is still at the top of the list and a huge problem for public health. The key to better patient outcomes and lower mortality rates is early and precise diagnosis. In order to overcome these obstacles, this research presents a hybrid framework that uses deep learni...

D. Baswaraj, Y. Sucharitha, S. Nithyapriya et al. · 2026 6th International Confe... · 0 citations

Aug 2026

Computational Screening of Columbianadin-Derived Furanocoumarins as Multitarget Neurotherapeutics Against MAO-B, AChE, and BACE1 For Alzheimer's Disease

Background: Alzheimer’s disease (AD) is a complex neurodegenerative disorder characterized by multiple pathological pathways, including monoamine oxidase activity, cholinergic dysfunction, and amyloid-β peptide accumulation. Developing multi-targeted neurotherapeutics has emerged as a promising approach to address this...

Mohammad Yasir, Jeevan Patra, I. Tayubi · Journal of Computational Bio... · 0 citations

Review Sep 2026

Explainable AI in MRI-Based Brain Tumor Segmentation: Advances, Challenges, Opportunities, and Future Directions

Untreated brain tumors (BT) cause abnormal growth of brain tissue and pose serious health risks, including the possibility of death. Because of its high resolution and ability to differentiate between different types of tissues, magnetic-resonance-imaging (MRI) has replaced previous imaging modalities as the gold s...

K. Arunkumar, U. Veeresh, Y. Sucharitha et al. · Current Neuropharmacology · 0 citations