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HybridADNet: A Multi-Paradigm Deep Learning Framework for Alzheimer's Disease Diagnosis from Brain MRI

A multi-paradigm deep learning framework for Alzheimer's disease diagnosis from brain MRI — submitted to Springer Nature Pattern Analysis and Applications (special invitation from MedPRAI).

Md Mahmudul Hoque, Md Kawser Islam, Ohidujjaman, Abdullah Rakib Akand, Mahmudul HasanSpringer Nature Pattern Analysis and Applications (Q2)

Submitted to Springer Nature Pattern Analysis and Applications (Q2), following a special invitation from MedPRAI. Under peer review — not yet published.

Focus

HybridADNet explores a multi-paradigm deep learning approach to Alzheimer's disease diagnosis from brain MRI, combining complementary model families rather than relying on a single architecture.

Topics

  • Medical AI
  • Neuroimaging / MRI
  • Hybrid deep learning

Authors and venue are as listed in the Lab record. Clinical claims and metrics will be added only when the peer-reviewed version is public.