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09/01/2023
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning
Dialogue policy learning (DPL) is a crucial component of dialogue modell...
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08/14/2023
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume
Self-supervised monocular depth estimation methods typically rely on the...
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07/25/2023
Gait Cycle-Inspired Learning Strategy for Continuous Prediction of Knee Joint Trajectory from sEMG
Predicting lower limb motion intent is vital for controlling exoskeleton...
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07/20/2023
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
Recent text-to-image diffusion models have demonstrated an astonishing c...
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07/18/2023
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray
Chest X-ray (CXR) anatomical abnormality detection aims at localizing an...
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07/17/2023
CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation
Automatic diagnosis (AD), a critical application of AI in healthcare, em...
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07/10/2023
K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment
The problem of how to assess cross-modality medical image synthesis has ...
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06/25/2023
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images
Sparse-view computed tomography (CT) has been adopted as an important te...
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06/05/2023
Cross-Modal Vertical Federated Learning for MRI Reconstruction
Federated learning enables multiple hospitals to cooperatively learn a s...
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05/25/2023
CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset
The cross-domain text-to-SQL task aims to build a system that can parse ...
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05/23/2023
VisorGPT: Learning Visual Prior via Generative Pre-Training
Various stuff and things in visual data possess specific traits, which c...
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03/09/2023
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities
Multimodal magnetic resonance imaging (MRI) provides complementary infor...
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03/01/2023
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training
As an essential indicator for cancer progression and treatment response,...
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02/28/2023
Interactive Segmentation as Gaussian Process Classification
Click-based interactive segmentation (IS) aims to extract the target obj...
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02/02/2023
Deep-Learning Tool for Early Identifying Non-Traumatic Intracranial Hemorrhage Etiology based on CT Scan
Background: To develop an artificial intelligence system that can accura...
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01/18/2023
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation
Unsupervised domain adaption has been widely adopted in tasks with scarc...
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01/17/2023
FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs
Efficient detectors for edge devices are often optimized for metrics lik...
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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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12/26/2022
Orientation-Shared Convolution Representation for CT Metal Artifact Learning
During X-ray computed tomography (CT) scanning, metallic implants carryi...
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11/16/2022
Lesion Guided Explainable Few Weak-shot Medical Report Generation
Medical images are widely used in clinical practice for diagnosis. Autom...
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11/02/2022
Knowing the Past to Predict the Future: Reinforcement Virtual Learning
Reinforcement Learning (RL)-based control system has received considerab...
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10/09/2022
Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning
Providing Emotional Support (ES) to soothe people in emotional distress ...
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09/14/2022
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words
Prompt-based fine-tuning for pre-trained models has proven effective for...
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09/05/2022
A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays
Accurate abnormality localization in chest X-rays (CXR) can benefit the ...
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09/02/2022
Multi-modal Contrastive Representation Learning for Entity Alignment
Multi-modal entity alignment aims to identify equivalent entities betwee...
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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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07/18/2022
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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07/07/2022
Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration
Recently, deep-learning-based approaches have been widely studied for de...
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05/16/2022
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction
Inspired by the great success of deep neural networks, learning-based me...
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05/16/2022
Robust Representation via Dynamic Feature Aggregation
Deep convolutional neural network (CNN) based models are vulnerable to t...
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04/29/2022
"My nose is running.""Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics
With the rise of telemedicine, the task of developing Dialogue Systems f...
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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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03/10/2022
Deep Convolutional Neural Networks for Molecular Subtyping of Gliomas Using Magnetic Resonance Imaging
Knowledge of molecular subtypes of gliomas can provide valuable informat...
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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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02/14/2022
A Survey of Cross-Modality Brain Image Synthesis
The existence of completely aligned and paired multi-modal neuroimaging ...
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01/29/2022
FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss
The existence of completely aligned and paired multi-modal neuroimaging ...
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01/22/2022
FedMed-GAN: Federated Multi-Modal Unsupervised Brain Image Synthesis
Utilizing the paired multi-modal neuroimaging data has been proved to be...
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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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12/23/2021
InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images
During the computed tomography (CT) imaging process, metallic implants w...
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10/12/2021
Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation
Recent years have witnessed the dramatic growth of paper volumes with pl...
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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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09/29/2021
PAC-Bayes Information Bottleneck
Information bottleneck (IB) depicts a trade-off between the accuracy and...
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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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09/07/2021
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization
Existing unsupervised document hashing methods are mostly established on...
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08/18/2021