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Found 6 papers, 1 papers with code
Multi-view Subspace Clustering via An Adaptive Consensus Graph Filter
Therefore, in the proposed method, the consensus reconstruction coefficient matrix, the consensus graph filter, and the reconstruction coefficient matrices from different views are interdependent.
Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation
As a pioneering work, a dynamic architecture network for medical volumetric segmentation (i. e. Med-DANet) has achieved a favorable accuracy and efficiency trade-off by dynamically selecting a suitable 2D candidate model from the pre-defined model bank for different slices.
Wasserstein Generative Regression
Our approach simultaneously estimates a regression function and a conditional generator using a generative learning framework, where a conditional generator is a function that can generate samples from a conditional distribution.
Med-Tuning: Parameter-Efficient Transfer Learning with Fine-Grained Feature Enhancement for Medical Volumetric Segmentation
In this paper, we present the study on parameter-efficient transfer learning for medical volumetric segmentation and propose a new framework named Med-Tuning based on intra-stage feature enhancement and inter-stage feature interaction.
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation
The research community has witnessed the powerful potential of self-supervised Masked Image Modeling (MIM), which enables the models capable of learning visual representation from unlabeled data.
MF2-MVQA: A Multi-stage Feature Fusion method for Medical Visual Question Answering
There is a key problem in the medical visual question answering task that how to effectively realize the feature fusion of language and medical images with limited datasets.
