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cs.CV2026
LightMIS: Ultra-Lightweight Medical Image Segmentation Without a Stage-Wise Decoder
Andrei Arhire, Mihaela-Elena Breabăn, Radu Timofte
We present LightMIS, a scalable family of ultra-lightweight convolutional networks for 2D binary medical image segmentation without a learned stage-wise decoder. LightMIS aligns th…
cs.CV2026
A Shared-Backbone Approach for Multi-Task MedMNIST Classification
Stefan-Dorian Gavril, Andrei Arhire, Adrian Iftene
Multi-task biomedical classification requires models to generalize across disparate modalities and class distributions. We study 11 heterogeneous MedMNIST datasets using the harmon…
cs.CV2025
Learned Lightweight Smartphone ISP with Unpaired Data
Andrei Arhire, Radu Timofte
The Image Signal Processor (ISP) is a fundamental component in modern smartphone cameras responsible for conversion of RAW sensor image data to RGB images with a strong focus on pe…