b'Kai Ma'

research

∙ 05/10/2023

A Deep Dive into NFT Rug Pulls

NFT rug pull is one of the most prominent type of scam that the develope...

0 Jintao Huang, et al. ∙

research

∙ 01/03/2023

A New Perspective to Boost Vision Transformer for Medical Image Classification

Transformer has achieved impressive successes for various computer visio...

0 Yuexiang Li, et al. ∙

research

∙ 12/06/2022

A Trustworthy Framework for Medical Image Analysis with Deep Learning

Computer vision and machine learning are playing an increasingly importa...

0 Kai Ma, et al. ∙

research

∙ 08/26/2022

Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression

Automated methods for Cobb angle estimation are of high demand for scoli...

0 Yi Lin, et al. ∙

research

∙ 07/19/2022

Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography

Building AI models with trustworthiness is important especially in regul...

23 Kai Ma, et al. ∙

research

∙ 07/18/2022

Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation

Research into Few-shot Semantic Segmentation (FSS) has attracted great a...

0 Xinyu Shi, et al. ∙

research

∙ 04/23/2022

Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation

Semantic segmentation is important in medical image analysis. Inspired b...

0 Cong Xie, et al. ∙

research

∙ 03/19/2022

Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation

Due to the lack of properly annotated medical data, exploring the genera...

0 Cheng Bian, et al. ∙

research

∙ 03/12/2022

DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection

Automated salient object detection (SOD) plays an increasingly crucial r...

14 Heqin Zhu, et al. ∙

research

∙ 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...

0 Shuxin Wang, et al. ∙

research

∙ 03/04/2022

Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images

Automated surface segmentation of retinal layer is important and challen...

0 Hong Liu, et al. ∙

research

∙ 02/16/2022

Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images

Nuclei segmentation is a crucial task for whole slide image analysis in ...

1 Yi Lin, et al. ∙

research

∙ 12/31/2021

Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship

Continual learning requires models to learn new tasks while maintaining ...

0 Quanziang Wang, et al. ∙

research

∙ 10/09/2021

Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification

Rare diseases are characterized by low prevalence and are often chronica...

0 Jinghan Sun, et al. ∙

research

∙ 09/28/2021

All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation

Semi-supervised learning has substantially advanced medical image segmen...

1 Zhe Xu, et al. ∙

research

∙ 09/24/2021

Training Automatic View Planner for Cardiac MR Imaging via Self-Supervision by Spatial Relationship between Views

View planning for the acquisition of cardiac magnetic resonance imaging ...

0 Dong Wei, et al. ∙

research

∙ 08/18/2021

Multi-Anchor Active Domain Adaptation for Semantic Segmentation

Unsupervised domain adaption has proven to be an effective approach for ...

0 Munan Ning, et al. ∙

research

∙ 08/18/2021

A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework

Domain shift happens in cross-domain scenarios commonly because of the w...

0 Munan Ning, et al. ∙

research

∙ 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...

0 Cong Xie, et al. ∙

research

∙ 07/06/2021

Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration

In order to tackle the difficulty associated with the ill-posed nature o...

0 Zhe Xu, et al. ∙

research

∙ 06/30/2021

Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint

Convolutional neural network (CNN) have proven its success for semantic ...

5 Jiawei Chen, et al. ∙

research

∙ 06/27/2021

Residual Moment Loss for Medical Image Segmentation

Location information is proven to benefit the deep learning models on ca...

0 Quanziang Wang, et al. ∙

research

∙ 06/12/2021

LE-NAS: Learning-based Ensenble with NAS for Dose Prediction

Radiation therapy treatment planning is a complex process, as the target...

0 Yi Lin, et al. ∙

research

∙ 06/03/2021

Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation

Manually segmenting the hepatic vessels from Computer Tomography (CT) is...

4 Zhe Xu, et al. ∙

research

∙ 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 ...

26 Hong-Yu Zhou, et al. ∙

research

∙ 03/09/2021

Stabilized Medical Image Attacks

Convolutional Neural Networks (CNNs) have advanced existing medical syst...

0 Gege Qi, et al. ∙

research

∙ 02/26/2021

MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures

Considering the scarcity of medical data, most datasets in medical image...

0 Luyan Liu, et al. ∙

research

∙ 12/29/2020

Ensembled ResUnet for Anatomical Brain Barriers Segmentation

Accuracy segmentation of brain structures could be helpful for glioma an...

0 Munan Ning, et al. ∙

research

∙ 12/17/2020

A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks

Deep neural networks (DNNs) for medical images are extremely vulnerable ...

0 Qingsong Yao, et al. ∙

research

∙ 11/02/2020

Transport based Graph Kernels

Graph kernel is a powerful tool measuring the similarity between graphs....

0 Kai Ma, et al. ∙

research

∙ 08/18/2020

Ordinal Pattern Kernel for Brain Connectivity Network Classification

Brain connectivity networks, which characterize the functional or struct...

0 Kai Ma, et al. ∙

research

∙ 07/29/2020

TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification

Retinal artery/vein (A/V) classification lays the foundation for the qua...

0 WenTing Chen, et al. ∙

research

∙ 07/29/2020

Difficulty-aware Glaucoma Classification with Multi-Rater Consensus Modeling

Medical images are generally labeled by multiple experts before the fina...

0 Shuang Yu, et al. ∙

research

∙ 07/24/2020

Learning Crisp Edge Detector Using Logical Refinement Network

Edge detection is a fundamental problem in different computer vision tas...

0 Luyan Liu, et al. ∙

research

∙ 07/22/2020

Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning

Recently, deep learning has been adopted to the glaucoma classification ...

0 Junde Wu, et al. ∙

research

∙ 07/22/2020

Instance-aware Self-supervised Learning for Nuclei Segmentation

Due to the wide existence and large morphological variances of nuclei, a...

0 Xinpeng Xie, et al. ∙

research

∙ 07/22/2020

MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint

Domain shift between medical images from multicentres is still an open q...

0 Xinpeng Xie, et al. ∙

research

∙ 07/20/2020

A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation

Primary angle closure glaucoma (PACG) is the leading cause of irreversib...

16 Munan Ning, et al. ∙

research

∙ 07/20/2020

Deep Image Clustering with Category-Style Representation

Deep clustering which adopts deep neural networks to obtain optimal repr...

9 Junjie Zhao, et al. ∙

research

∙ 07/20/2020

Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications

Medical image analysis benefits Computer Aided Diagnosis (CADx). A funda...

0 Lijun Gong, et al. ∙

research

∙ 07/20/2020

GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy

The automatic grading of diabetic retinopathy (DR) facilitates medical d...

0 Shaoteng Liu, et al. ∙

research

∙ 07/20/2020

Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation

Witnessing the success of deep learning neural networks in natural image...

0 Yuexiang Li, et al. ∙

research

∙ 07/18/2020

Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification

Retinal artery/vein (A/V) classification plays a critical role in the cl...

0 Wenao Ma, et al. ∙

research

∙ 07/17/2020

Superpixel-Guided Label Softening for Medical Image Segmentation

Segmentation of objects of interest is one of the central tasks in medic...

18 Hang Li, et al. ∙

research

∙ 07/17/2020

Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation

Deep learning highly relies on the quantity of annotated data. However, ...

0 Xing Tao, et al. ∙

research

∙ 07/15/2020

Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations

In deep learning era, pretrained models play an important role in medica...

0 Hong-Yu Zhou, et al. ∙

research

∙ 07/13/2020

Learning and Exploiting Interclass Visual Correlations for Medical Image Classification

Deep neural network-based medical image classifications often use "hard"...

0 Dong Wei, et al. ∙

research

∙ 06/19/2020

Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift

Deep convolutional neural networks (DCNNs) have contributed many breakth...

0 Qinming Zhang, et al. ∙

research

∙ 04/17/2020

Generative Adversarial Networks for Video-to-Video Domain Adaptation

Endoscopic videos from multicentres often have different imaging conditi...

34 Jiawei Chen, et al. ∙

research

∙ 03/19/2020

Quality Control of Neuron Reconstruction Based on Deep Learning

Neuron reconstruction is essential to generate exquisite neuron connecti...

0 Donghuan Lu, et al. ∙

Kai Ma

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