325 citations · 360 across the 4 of their papers we have counts for
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eess.IV2024
Efficient MedSAMs: Segment Anything in Medical Images on Laptop
Jun Ma, Feifei Li, Sumin Kim +79
Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive co…
cs.CV2024
AI Age Discrepancy: A Novel Parameter for Frailty Assessment in Kidney Tumor Patients
Rikhil Seshadri, Jayant Siva, Angelica Bartholomew +20
Kidney cancer is a global health concern, and accurate assessment of patient frailty is crucial for optimizing surgical outcomes. This paper introduces AI Age Discrepancy, a novel…