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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...
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01/03/2023
A New Perspective to Boost Vision Transformer for Medical Image Classification
Transformer has achieved impressive successes for various computer visio...
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12/06/2022
A Trustworthy Framework for Medical Image Analysis with Deep Learning
Computer vision and machine learning are playing an increasingly importa...
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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...
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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...
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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...
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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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03/19/2022
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...
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03/12/2022
DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection
Automated salient object detection (SOD) plays an increasingly crucial r...
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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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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...
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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 ...
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12/31/2021
Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship
Continual learning requires models to learn new tasks while maintaining ...
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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...
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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...
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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 ...
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08/18/2021
Multi-Anchor Active Domain Adaptation for Semantic Segmentation
Unsupervised domain adaption has proven to be an effective approach for ...
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08/18/2021
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework
Domain shift happens in cross-domain scenarios commonly because of the w...
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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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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...
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06/30/2021
Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint
Convolutional neural network (CNN) have proven its success for semantic ...
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06/27/2021
Residual Moment Loss for Medical Image Segmentation
Location information is proven to benefit the deep learning models on ca...
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06/12/2021
LE-NAS: Learning-based Ensenble with NAS for Dose Prediction
Radiation therapy treatment planning is a complex process, as the target...
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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...
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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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03/09/2021
Stabilized Medical Image Attacks
Convolutional Neural Networks (CNNs) have advanced existing medical syst...
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02/26/2021
MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures
Considering the scarcity of medical data, most datasets in medical image...
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12/29/2020
Ensembled ResUnet for Anatomical Brain Barriers Segmentation
Accuracy segmentation of brain structures could be helpful for glioma an...
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12/17/2020
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks
Deep neural networks (DNNs) for medical images are extremely vulnerable ...
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11/02/2020
Transport based Graph Kernels
Graph kernel is a powerful tool measuring the similarity between graphs....
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08/18/2020
Ordinal Pattern Kernel for Brain Connectivity Network Classification
Brain connectivity networks, which characterize the functional or struct...
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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...
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07/29/2020
Difficulty-aware Glaucoma Classification with Multi-Rater Consensus Modeling
Medical images are generally labeled by multiple experts before the fina...
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07/24/2020
Learning Crisp Edge Detector Using Logical Refinement Network
Edge detection is a fundamental problem in different computer vision tas...
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07/22/2020
Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning
Recently, deep learning has been adopted to the glaucoma classification ...
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07/22/2020
Instance-aware Self-supervised Learning for Nuclei Segmentation
Due to the wide existence and large morphological variances of nuclei, a...
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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...
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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...
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07/20/2020
Deep Image Clustering with Category-Style Representation
Deep clustering which adopts deep neural networks to obtain optimal repr...
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07/20/2020
Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications
Medical image analysis benefits Computer Aided Diagnosis (CADx). A funda...
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07/20/2020
GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy
The automatic grading of diabetic retinopathy (DR) facilitates medical d...
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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...
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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...
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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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07/17/2020
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, ...
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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...
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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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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...
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04/17/2020
Generative Adversarial Networks for Video-to-Video Domain Adaptation
Endoscopic videos from multicentres often have different imaging conditi...
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03/19/2020