CUTS: A Deep Learning and Topological Framework for Multigranular
Unsupervised Medical Image Segmentation

CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation

23 September 2022

Chen Liu

Liangbo L. Shen

Smita Krishnaswamy

Papers citing "CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation"

5 / 5 papers shown

Title
ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images Chen Liu Ke Xu Liangbo L. Shen Guillaume Huguet Zilong Wang ... Danilo Bzdok Jay Stewart Jay C. Wang L. V. Priore Smita Krishnaswamy 75 4 0 08 Jan 2025
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds Xingzhi Sun Danqi Liao Kincaid MacDonald Yanlei Zhang Chen Liu Guillaume Huguet Guy Wolf Ian M. Adelstein Tim G. J. Rudner Smita Krishnaswamy 46 3 0 16 Oct 2024
DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images Chen Liu Danqi Liao Alejandro Parada-Mayorga Alejandro Ribeiro Marcello DiStasio Smita Krishnaswamy 47 4 0 04 Oct 2024
Leveraging Latents for Efficient Thermography Classification and Segmentation Tamir Shor Chaim Baskin Alexander M. Bronstein 22 0 0 09 Apr 2024
Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation Jianfei Liu Christopher Parnell Ronald M. Summers 38 1 0 06 Mar 2024