[ICCV'25 Highlight] Derm1M: A Million‑Scale Vision‑Language Dataset Aligned with Clinical Ontology Knowledge for Dermatology
[MICCAI‘25 Early Accept] MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment
Superfast, privacy centric RAG VLM dermatologist.
AI Voice Assistant for dermatology clinic that can manage callings, bookings. Tech Stack: TypeSript, React.js , N8N Automation, Tailwind CSS, Eleven Labs
Derma MedGemma — Dermatology Vision-Language Fine-Tuning on Indian Diseases
Fairness Auditing in Dermoscopic AI: Quantified a 55% FNR disparity based on Anatomical Localization (Spurious Bias Audit). Focus on Disentangled Representation learning for Equitable AI.
Open research workspace for federated multimodal alopecia prognosis with latent diffusion, rigorous evaluation, and governance-by-design.
An ML pipeline to classify skin lesions as malignat or benign with a data dashboard and a API interface tested on the HAM10000
A project to understand and build basic knowledge on dermatologic classification/segmentation
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