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eess.IV2023
Advancing Intra-operative Precision: Dynamic Data-Driven Non-Rigid Registration for Enhanced Brain Tumor Resection in Image-Guided Neurosurgery
Nikos Chrisochoides, Andriy Fedorov, Fotis Drakopoulos +9
During neurosurgery, medical images of the brain are used to locate tumors and critical structures, but brain tissue shifts make pre-operative images unreliable for accurate remova…
eess.IV2021★ 27 cited
Highdicom: A Python library for standardized encoding of image annotations and machine learning model outputs in pathology and radiology
Christopher P. Bridge, Chris Gorman, Steven Pieper +6
Machine learning is revolutionizing image-based diagnostics in pathology and radiology. ML models have shown promising results in research settings, but their lack of interoperabil…