most citedOptimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study

2 citations · 4 across the 3 of their papers we have counts for

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cs.CV2026

A Few Cases Are All You Need: An Empirical Study of Annotation-Efficient LoRA Fine-Tuning of MedSAM3

Sachin Dudda Nagaraju, Bendik Skarre Abrahamsen, Ashkan Moradi +1

Medical image segmentation is essential for clinical workflows such as treatment planning and disease assessment. While specialist tools like TotalSegmentator and MRSegmentator ach…

cs.CV2025★ 2 cited

FedGIN: Federated Learning with Dynamic Global Intensity Non-linear Augmentation for Organ Segmentation using Multi-modal Images

Sachin Dudda Nagaraju, Ashkan Moradi, Bendik Skarre Abrahamsen +1

Medical image segmentation plays a crucial role in AI-assisted diagnostics, surgical planning, and treatment monitoring. Accurate and robust segmentation models are essential for e…