Jun Lyu

About Jun Lyu

Jun Lyu, With an exceptional h-index of 14 and a recent h-index of 13 (since 2020), a distinguished researcher at Peking University, specializes in the field of Medical Image Analysis, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Cross co-teaching for semi-supervised medical image segmentation

STADNet: Spatial-Temporal Attention-Guided Dual-Path Network for cardiac cine MRI super-resolution

Dual-Space High-Frequency Learning for Transformer-based MRI Super-Resolution

The state-of-the-art in Cardiac MRI Reconstruction: Results of the CMRxRecon Challenge in MICCAI 2023

Temporal Super-Resolution in T1 Mapping: Pioneering Speed and Detail Preservation for Multimodal Consumer Health Data

Multi-modality MRI fusion with patch complementary pre-training for internet of medical things-based smart healthcare

Iterative Temporal-Spatial Transformer-based Cardiac T1 Mapping MRI Reconstruction

DBGAN: Dual Branch Generative Adversarial Network for Multi-modal MRI Translation

Jun Lyu Information

University

Position

___

Citations(all)

516

Citations(since 2020)

506

Cited By

65

hIndex(all)

14

hIndex(since 2020)

13

i10Index(all)

22

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

Jun Lyu Skills & Research Interests

Medical Image Analysis

Deep Learning

Top articles of Jun Lyu

Cross co-teaching for semi-supervised medical image segmentation

Pattern Recognition

2024/8/1

STADNet: Spatial-Temporal Attention-Guided Dual-Path Network for cardiac cine MRI super-resolution

Medical Image Analysis

2024/3/12

Dual-Space High-Frequency Learning for Transformer-based MRI Super-Resolution

Computer Methods and Programs in Biomedicine

2024/4/9

Temporal Super-Resolution in T1 Mapping: Pioneering Speed and Detail Preservation for Multimodal Consumer Health Data

IEEE Transactions on Consumer Electronics

2024/3/21

Multi-modality MRI fusion with patch complementary pre-training for internet of medical things-based smart healthcare

Information Fusion

2024/3/1

Iterative Temporal-Spatial Transformer-based Cardiac T1 Mapping MRI Reconstruction

ACM Transactions on Multimedia Computing, Communications and Applications

2024

DBGAN: Dual Branch Generative Adversarial Network for Multi-modal MRI Translation

ACM Transactions on Multimedia Computing, Communications and Applications

2024

Adaptive feature aggregation based multi-task learning for uncertainty-guided semi-supervised medical image segmentation

Expert Systems with Applications

2023/12/1

Dual Arbitrary Scale Super-Resolution for Multi-contrast MRI

2023/10/1

Adaptive channel-modulated personalized federated learning for magnetic resonance image reconstruction

Computers in Biology and Medicine

2023/10/1

HIPA: hierarchical patch transformer for single image super resolution

IEEE Transactions on Image Processing

2023/5/31

Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction

Medical Image Analysis

2023/4/1

Multicontrast MRI Super-Resolution via Transformer-Empowered Multiscale Contextual Matching and Aggregation

IEEE Transactions on Neural Networks and Learning Systems

2023/3/7

Spherical Pseudo-cylindrical Representation for Omnidirectional Image Super-Resolution

2023

Noninvasive Assessment of Liver Fibrosis and Inflammation in Chronic Hepatitis B: A Dual-task Convolutional Neural Network (DtCNN) Model Based on Ultrasound Shear Wave Elastography

Journal of Clinical and Translational Hepatology

2022/12/12

End-to-end network for pedestrian detection, tracking and re-identification in real-time surveillance system

Sensors

2022/11/10

A review of image super-resolution approaches based on deep learning and applications in remote sensing

2022/10/28

DuDoCAF: Dual-domain cross-attention fusion with recurrent transformer for fast multi-contrast MR imaging

2022/9/17

See List of Professors in Jun Lyu University(Peking University)