3 papers
cs.CV2026
MorphoCLIP: Text-Supervised Contrastive Learning for Perturbation Matching in Cell Painting Images
Sukhrobbek Ilyosbekov, Shubham Gajjar, Rongfei Jin
Cell Painting microscopy captures how cells change after a chemical or genetic perturbation. Connecting these images to the perturbations that produced them could make large imagin…
cs.CV2026
Localize, Don't Beautify: Client-Side Control of Image-Editing APIs for Cosmetic Surgery Previews
Sukhrobbek Ilyosbekov
Ask a commercial image editor to preview a cosmetic procedure and it will often change more of the face than the request names: a nose edit can also smooth skin or alter lighting.…
cs.CV2025
MelanomaNet: Explainable Deep Learning for Skin Lesion Classification
Sukhrobbek Ilyosbekov
Automated skin lesion classification using deep learning has shown remarkable accuracy, yet clinical adoption remains limited due to the "black box" nature of these models. We pres…