Search papers, labs, and topics across Lattice.
3
0
2
Energy-based learning can significantly enhance the robustness and accuracy of tensegrity structure predictions, overcoming traditional method limitations.
FlowPET not only recovers low-contrast lesions better than current methods but does so by leveraging Hamiltonian dynamics to preserve weak signals in high-noise environments.
By alternating between segmentation and curve modeling, A2ONet achieves more accurate liver landmark detection in laparoscopic images, even under poor illumination.
