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Found 8 papers, 1 papers with code
PAM: A Propagation-Based Model for Segmenting Any 3D Objects across Multi-Modal Medical Images
There's a strong need for an adaptable approach that can effectively handle different 3D medical structures and imaging modalities.
Progressive Dual Priori Network for Generalized Breast Tumor Segmentation
To promote the generalization ability of breast tumor segmentation models, as well as to improve the segmentation performance for breast tumors with smaller size, low-contrast and irregular shape, we propose a progressive dual priori network (PDPNet) to segment breast tumors from dynamic enhanced magnetic resonance images (DCE-MRI) acquired at different centers.
propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans
This model consists of a proposing stage for coarse segmentation and a refining stage for improved segmentation, using two-way branches for enhanced performance and an up-down strategy for efficiency.
JDSR-GAN: Constructing An Efficient Joint Learning Network for Masked Face Super-Resolution
In this work, we treat the mask occlusion as image noise and construct a joint and collaborative learning network, called JDSR-GAN, for the masked face super-resolution task.
Spatial Structure Engineering in Enhancing Performance of Mosaic Electrocatalysts
Understanding the mechanism and developing strategies toward efficient electrocatalysis at gas-liquidsolid interfaces are important yet challenging.
Applied Physics Materials Science
ProductNet: a Collection of High-Quality Datasets for Product Representation Learning
ProductNet is a collection of high-quality product datasets for better product understanding.
Reference Product Search
For a product of interest, we propose a search method to surface a set of reference products.
Thresholding for Top-k Recommendation with Temporal Dynamics
This work focuses on top-k recommendation in domains where underlying data distribution shifts overtime.
