Writing
Research notes, paper reading summaries, reflections on AI and medical imaging, and thoughts on the PhD journey.
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Showing 5 of 5 posts
A practical account of designing, training, and evaluating a hybrid CNN-Vision Transformer architecture for tuberculosis detection — including the mistakes, trade-offs, and insights along the way.
Why saliency maps are not enough, what clinicians actually need from AI explanations, and how researchers should approach XAI evaluation in the medical domain.
A review of quantitative and qualitative evaluation frameworks for saliency maps, including pointing game, insertion/deletion metrics, and radiologist agreement protocols.
Lessons from my personal journey preparing for a PhD application: choosing research directions, writing statements of purpose, finding advisors, and building a competitive research profile.
A candid reflection on the process of writing, submitting, and revising a research paper for an international venue — structure, framing, and common mistakes to avoid.