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04/23/2022
Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation
Semantic segmentation is important in medical image analysis. Inspired b...
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03/07/2022
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network
Fully convolutional neural networks have made promising progress in join...
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07/19/2021
RECIST-Net: Lesion detection via grouping keypoints on RECIST-based annotation
Universal lesion detection in computed tomography (CT) images is an impo...
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03/30/2021
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation
Learning by imitation is one of the most significant abilities of human ...
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10/19/2020
Brain Atlas Guided Attention U-Net for White Matter Hyperintensity Segmentation
White Matter Hyperintensities (WMH) are the most common manifestation of...
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09/06/2020
Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks
We propose a Healthcare Graph Convolutional Network (HealGCN) to offer d...
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07/17/2020
Superpixel-Guided Label Softening for Medical Image Segmentation
Segmentation of objects of interest is one of the central tasks in medic...
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07/13/2020
Learning and Exploiting Interclass Visual Correlations for Medical Image Classification
Deep neural network-based medical image classifications often use "hard"...
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03/16/2020