b'Yefeng Zheng'

research

∙ 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 ...

0 Hanchong Zhang, et al. ∙

research

∙ 05/23/2023

VisorGPT: Learning Visual Prior via Generative Pre-Training

Various stuff and things in visual data possess specific traits, which c...

0 Jinheng Xie, et al. ∙

research

∙ 03/09/2023

M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities

Multimodal magnetic resonance imaging (MRI) provides complementary infor...

0 Hong Liu, et al. ∙

research

∙ 03/01/2023

RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training

As an essential indicator for cancer progression and treatment response,...

0 Lianyu Zhou, et al. ∙

research

∙ 02/28/2023

Interactive Segmentation as Gaussian Process Classification

Click-based interactive segmentation (IS) aims to extract the target obj...

0 Minghao Zhou, et al. ∙

research

∙ 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...

0 Meng Zhao, et al. ∙

research

∙ 01/18/2023

MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation

Unsupervised domain adaption has been widely adopted in tasks with scarc...

0 Munan Ning, et al. ∙

research

∙ 01/17/2023

FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs

Efficient detectors for edge devices are often optimized for metrics lik...

0 Peng Tu, 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

∙ 12/26/2022

Orientation-Shared Convolution Representation for CT Metal Artifact Learning

During X-ray computed tomography (CT) scanning, metallic implants carryi...

0 Hong Wang, et al. ∙

research

∙ 11/16/2022

Lesion Guided Explainable Few Weak-shot Medical Report Generation

Medical images are widely used in clinical practice for diagnosis. Autom...

0 Jinghan Sun, et al. ∙

research

∙ 11/02/2022

Knowing the Past to Predict the Future: Reinforcement Virtual Learning

Reinforcement Learning (RL)-based control system has received considerab...

10 Peng Zhang, et al. ∙

research

∙ 10/09/2022

Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning

Providing Emotional Support (ES) to soothe people in emotional distress ...

0 Yi Cheng, et al. ∙

research

∙ 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...

5 Haochun Wang, et al. ∙

research

∙ 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 ...

0 Haoqin Ji, et al. ∙

research

∙ 09/02/2022

Multi-modal Contrastive Representation Learning for Entity Alignment

Multi-modal entity alignment aims to identify equivalent entities betwee...

0 Zhenxi Lin, 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

∙ 07/18/2022

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

∙ 07/07/2022

Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration

Recently, deep-learning-based approaches have been widely studied for de...

0 Jiashun Chen, et al. ∙

research

∙ 05/16/2022

Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction

Inspired by the great success of deep neural networks, learning-based me...

5 Hong Wang, et al. ∙

research

∙ 05/16/2022

Robust Representation via Dynamic Feature Aggregation

Deep convolutional neural network (CNN) based models are vulnerable to t...

3 Haozhe Liu, et al. ∙

research

∙ 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...

28 Wenge Liu, 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

∙ 03/10/2022

Deep Convolutional Neural Networks for Molecular Subtyping of Gliomas Using Magnetic Resonance Imaging

Knowledge of molecular subtypes of gliomas can provide valuable informat...

0 Dong Wei, 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

∙ 02/14/2022

A Survey of Cross-Modality Brain Image Synthesis

The existence of completely aligned and paired multi-modal neuroimaging ...

0 Guoyang Xie, et al. ∙

research

∙ 01/29/2022

FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss

The existence of completely aligned and paired multi-modal neuroimaging ...

0 Guoyang Xie, et al. ∙

research

∙ 01/22/2022

FedMed-GAN: Federated Multi-Modal Unsupervised Brain Image Synthesis

Utilizing the paired multi-modal neuroimaging data has been proved to be...

0 Guoyang Xie, 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

∙ 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...

17 Hong Wang, et al. ∙

research

∙ 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...

0 Jiayuan Ding, 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

∙ 09/29/2021

PAC-Bayes Information Bottleneck

Information bottleneck (IB) depicts a trade-off between the accuracy and...

0 Zifeng Wang, 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

∙ 09/07/2021

Refining BERT Embeddings for Document Hashing via Mutual Information Maximization

Existing unsupervised document hashing methods are mostly established on...

0 Zijing Ou, 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

∙ 06/18/2021

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction

Joint extraction of entities and relations from unstructured texts is a ...

0 Hengyi Zheng, et al. ∙

research

∙ 06/17/2021

Prototypical Graph Contrastive Learning

Graph-level representations are critical in various real-world applicati...

5 Shuai Lin, et al. ∙

research

∙ 06/16/2021

PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System

Knowledge Graph (KG) alignment aims at finding equivalent entities and r...

7 Zhiyuan Qi, 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. ∙

Yefeng Zheng

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