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20232025
most citedMIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework

1 citations · 1 across the 6 of their papers we have counts for

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physics.med-ph2024

1D Thermoembolization Model Using CT Imaging Data for Porcine Liver

Rohan Amare, Danielle Stolley, Steve Parrish +7

Objective: Innovative therapies such as thermoembolization are expected to play an important role in improvising care for patients with diseases such as hepatocellular carcinoma. T…

eess.IV2024★ 1 cited

MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework

Adrian Celaya, Evan Lim, Rachel Glenn +7

Medical imaging segmentation is a highly active area of research, with deep learning-based methods achieving state-of-the-art results in several benchmarks. However, the lack of st…