Improved Topological Preservation in 3D Axon Segmentation and Centerline Detection using Geometric Assessment-driven Topological Smoothing (GATS)

no code implementations • 7 Nov 2023 • Nina I. Shamsi, Alex S. Xu, Lars A. Gjesteby, Laura J. Brattain

Our ablation study showed that geometric assessment of tubular structures achieved higher segmentation and centerline detection scores, and using average pooling for morphological smoothing in place of thinning algorithms reduced the Betti errors.

Line Detection Segmentation

Developing a Series of AI Challenges for the United States Department of the Air Force

1 code implementation • 14 Jul 2022 • Vijay Gadepally, Gregory Angelides, Andrei Barbu, Andrew Bowne, Laura J. Brattain, Tamara Broderick, Armando Cabrera, Glenn Carl, Ronisha Carter, Miriam Cha, Emilie Cowen, Jesse Cummings, Bill Freeman, James Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L Weiss, Allan Wollaber, Sophia Yuditskaya, Jeremy Kepner

Through a series of federal initiatives and orders, the U. S. Government has been making a concerted effort to ensure American leadership in AI.

Self-Supervised Feature Extraction for 3D Axon Segmentation

1 code implementation • 20 Apr 2020 • Tzofi Klinghoffer, Peter Morales, Young-Gyun Park, Nicholas Evans, Kwanghun Chung, Laura J. Brattain

Existing learning-based methods to automatically trace axons in 3D brain imagery often rely on manually annotated segmentation labels.

Segmentation