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期刊论文

2024

中国医学物理学科的建设与探索专家共识

殷芳芳，杨振宇，蔡璟，柏森，陈敏斌，陈明，陈牧，戴安伟，单国平，邓小武，葛云，耿建华，耿立升，胡春洪，胡鹏，胡伟刚，黄晓延，蒋承峰，金献测，黎田，李左峰，刘蔓居，卢晓明，倪昕晔，潘玉藤，秦颂兵，秦文健，邱杰，全红，沈定刚，王大江，王辉东，王建良，王理，王石，王为，温宁，吴锦昌，杨益东，姚毅，尹勇，于金明，俞家华，张红志，张雷，张艺宝，赵维，赵旭娜，郑志鸿，周超，周光明，周凌宏，卓维海，朱玉春

《中国医学物理学杂志》

2024

WUTrans: Whole-spectrum unilateral-query-secured transformer for 4D CBCT reconstruction

Peng Yuan, Tianling Lyu, Fei Lyu, Yudong Zhang, Chunfeng Yang, Wentao Zhu, Zhiqiang Gao, Zhan Wu, Yang Chen, Wei Zhao, Jean-Louis Coatrieux

Biomedical Signal Processing and Control

精选作品

期刊论文

中国医学物理学科的建设与探索专家共识

WUTrans: Whole-spectrum unilateral-query-secured transformer for 4D CBCT reconstruction

C2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction

HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis

Transformer-Based Multimodal Fusion for Survival Prediction by Integrating Whole Slide Images, Clinical, and Genomic Data

Masked Transformer for Electrocardiogram Classification

Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation

Diverse Image Colorization Based on Diffusion Model

Adaptive orthogonal gradient descent algorithm for fully complex-valued neural networks

Deep Sparse Depth Completion Using Multi-Affinity Matrix

Commissioning dose computation model for proton source in pencil beam scanning therapy by convolution neural networks

Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction

Less Is More: Surgical Phase Recognition From Timestamp Supervision

Novel-view X-ray Projection Synthesis through Geometry-integrated Deep Learning

Intelligent Clinical Lab for the Diagnosis of Post-Neurosurgical Meningitis Based on Machine-Learning-Aided Cerebrospinal Fluid Analysis.

Boosting Deep Learning-based Docking with Cross-attention and Centrality Embedding

Accurate Breast Tumor Identification Using Computational Ultrasound Image Features

会议论文

面向自适应放疗的深度学习锥束CT伪影校正方法

预印本

Bridging Performance Gaps for ECG Foundation Models: A Post-Training Strategy

Semantic contrastive learning for orthogonal X-ray computed tomography reconstruction

Real-Time Reconstruction of 3D Bone Models via Very-Low-Dose Protocols

Trusted Multi-view Learning under Noisy Supervision

TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs

CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT Denoising

3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models

A directional total variation minimization algorithm for isotropic resolution in digital breast tomosynthesis

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data

Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT images

Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation

A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction

TransCT: Dual-path Transformer for Low Dose Computed Tomography

Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning

A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning

Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images

Dual-energy Computed Tomography Imaging from Contrast-enhanced Single-energy Computed Tomography

A deep learning approach for virtual monochromatic spectral CT imaging with a standard single energy CT scanner

Dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network

Beam data modeling of linear accelerators (linacs) through machine learning and its potential applications in fast and robust linac commissioning and quality assurance

COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution

Noise2Context: Context-assisted Learning 3D Thin-layer Low Dose CT Without Clean Data

Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images

Automatic target positioning and tracking for image-guided radiotherapy without implanted fiducials

Dual-energy CT imaging using a single-energy CT data is feasible via deep learning

A unified image reconstruction framework for quantitative dual- and triple-energy CT imaging of material compositions

Multi-materials beam hardening artifacts correction for computed tomography (CT) based on X-ray spectrum estimation

Segmentation-Free X-ray Energy Spectrum Estimation for Computed Tomography Using Dual-Energy Material Decomposition

A Model-Based Scatter Artifacts Correction for Cone Beam CT

Segmentation-free x-ray energy spectrum estimation for computed tomography

A patient-specific scatter artifacts correction method

Energy Spectrum Extraction and Optimal Imaging via Dual-Energy Material Decomposition

Fast Scatter Artifacts Correction for Cone-Beam CT without System Modification and Repeat Scan

研究方向