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09/20/2023
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation
Echocardiogram video segmentation plays an important role in cardiac dis...
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09/20/2023
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation
Cardiac structure segmentation from echocardiogram videos plays a crucia...
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09/11/2023
HiLM-D: Towards High-Resolution Understanding in Multimodal Large Language Models for Autonomous Driving
Autonomous driving systems generally employ separate models for differen...
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08/23/2023
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
Out-of-distribution (OOD) detection refers to training the model on an i...
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08/15/2023
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation
In the domain adaptation problem, source data may be unavailable to the ...
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08/14/2023
Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes
Atrial Fibrillation (AF) is characterized by rapid, irregular heartbeats...
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08/01/2023
Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images
Optical Coherence Tomography (OCT) is a novel and effective screening to...
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07/27/2023
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification
In the medical field, federated learning commonly deals with highly imba...
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07/22/2023
FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images
Unsupervised deformable image registration is one of the challenging tas...
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07/22/2023
Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping
Designing deep learning algorithms for gland segmentation is crucial for...
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07/22/2023
DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation
The volume-wise labeling of 3D medical images is expertise-demanded and ...
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05/27/2023
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition
Transfer learning is a promising technique for medical image classificat...
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05/25/2023
Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation
Medical image data are often limited due to the expensive acquisition an...
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04/15/2023
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation
This study investigates barely-supervised medical image segmentation whe...
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04/12/2023
CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks
Contrastive Language-Image Pre-training (CLIP) is a powerful multimodal ...
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03/22/2023
Reliable and Efficient Evaluation of Adversarial Robustness for Deep Hashing-Based Retrieval
Deep hashing has been extensively applied to massive image retrieval due...
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03/13/2023
Vessel-Promoted OCT to OCTA Image Translation by Heuristic Contextual Constraints
Optical Coherence Tomography Angiography (OCTA) has become increasingly ...
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03/12/2023
Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction
Sparse-view cone-beam CT (CBCT) reconstruction is an important direction...
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02/15/2023
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks
Deep regression is an important problem with numerous applications. Thes...
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11/03/2022
ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images
Cardiovascular disease (CVD) accounts for about half of non-communicable...
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10/20/2022
Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos
Left-ventricular ejection fraction (LVEF) is an important indicator of h...
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10/04/2022
TripleE: Easy Domain Generalization via Episodic Replay
Learning how to generalize the model to unseen domains is an important a...
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09/30/2022
Semi-Supervised Domain Generalization for Cardiac Magnetic Resonance Image Segmentation with High Quality Pseudo Labels
Developing a deep learning method for medical segmentation tasks heavily...
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09/27/2022
FreeSeg: Free Mask from Interpretable Contrastive Language-Image Pretraining for Semantic Segmentation
Fully supervised semantic segmentation learns from dense masks, which re...
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09/15/2022
Exploring Visual Interpretability for Contrastive Language-Image Pre-training
Contrastive Language-Image pre-training (CLIP) learns rich representatio...
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07/30/2022
Learning Shadow Correspondence for Video Shadow Detection
Video shadow detection aims to generate consistent shadow predictions am...
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07/03/2022
Sub-cluster-aware Network for Few-shot Skin Disease Classification
This paper studies the few-shot skin disease classification problem. Bas...
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06/14/2022
Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images
Developing an AI-assisted gland segmentation method from histology image...
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05/19/2022
Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions
Self-supervised learning has witnessed great progress in vision and NLP;...
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05/07/2022
Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation
Segmentation of 3D knee MR images is important for the assessment of ost...
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04/18/2022
Centralized Adversarial Learning for Robust Deep Hashing
Deep hashing has been extensively utilized in massive image retrieval be...
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04/13/2022
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma
Lung cancer is the leading cause of cancer death worldwide, and adenocar...
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03/26/2022
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
Federated semi-supervised learning (FSSL) aims to derive a global model ...
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02/16/2022
Less is More: Surgical Phase Recognition from Timestamp Supervision
Surgical phase recognition is a fundamental task in computer-assisted su...
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01/21/2022
Enhancing Pseudo Label Quality for Semi-SupervisedDomain-Generalized Medical Image Segmentation
Generalizing the medical image segmentation algorithms tounseen domains ...
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12/22/2021
Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment
Image regression tasks for medical applications, such as bone mineral de...
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12/14/2021
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation
Weakly-Supervised Semantic Segmentation (WSSS) segments objects without ...
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12/06/2021
Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation
Automatic delineation of organ-at-risk (OAR) and gross-tumor-volume (GTV...
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11/22/2021
Exploiting Segment-level Semantics for Online Phase Recognition from Surgical Videos
Automatic surgical phase recognition plays an important role in robot-as...
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11/22/2021
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation
This paper presents a simple yet effective two-stage framework for semi-...
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10/12/2021
Improved Heatmap-based Landmark Detection
Mitral valve repair is a very difficult operation, often requiring exper...
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09/28/2021
Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning
The presence of metallic implants often introduces severe metal artifact...
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08/24/2021
Support-Set Based Cross-Supervision for Video Grounding
Current approaches for video grounding propose kinds of complex architec...
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04/05/2021
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation
The superior performance of CNN on medical image analysis heavily depend...
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04/05/2021
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images
Automatic breast lesion segmentation in ultrasound helps to diagnose bre...
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09/16/2020
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images
Computed tomography (CT) has been widely used for medical diagnosis, ass...
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08/13/2020
Flexible Modeling of Hurdle Conway-Maxwell-Poisson Distributions with Application to Mining Injuries
While the hurdle Poisson regression is a popular class of models for cou...
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07/21/2020
Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis
The automatic diagnosis of various retinal diseases from fundus images i...
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05/26/2020
The 'Letter' Distribution in the Chinese Language
Corpus-based statistical analysis plays a significant role in linguistic...
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05/05/2020