Richard L. J. Qiu

According to our database1, Richard L. J. Qiu authored at least 18 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2026
Advancing MRI reconstruction: A systematic review of deep learning and compressed sensing integration.
Biomed. Signal Process. Control., 2026

2025
DINOv3 with Test-Time Training for Medical Image Registration.
CoRR, August, 2025

Unifying Biomedical Vision-Language Expertise: Towards a Generalist Foundation Model via Multi-CLIP Knowledge Distillation.
CoRR, June, 2025

MRI motion correction via efficient residual-guided denoising diffusion probabilistic models.
CoRR, May, 2025

RoMedFormer: A Rotary-Embedding Transformer Foundation Model for 3D Genito-Pelvic Structure Segmentation in MRI and CT.
CoRR, March, 2025

Triad: Vision Foundation Model for 3D Magnetic Resonance Imaging.
CoRR, February, 2025

A Physics-Informed Deep Learning Model for MRI Brain Motion Correction.
CoRR, February, 2025

2024
T1-contrast Enhanced MRI Generation from Multi-parametric MRI for Glioma Patients with Latent Tumor Conditioning.
CoRR, 2024

Deep Learning Based Apparent Diffusion Coefficient Map Generation from Multi-parametric MR Images for Patients with Diffuse Gliomas.
CoRR, 2024

Adaptive Self-Supervised Consistency-Guided Diffusion Model for Accelerated MRI Reconstruction.
CoRR, 2024

Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography.
CoRR, 2024

2023
Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model.
CoRR, 2023

Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI.
CoRR, 2023

Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis.
CoRR, 2023

2022
Deep-learning-based markerless tumor localization using 2D KV/MV image.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

CBCT lung multi-OAR segmentation via hierarchical network.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021
Chest CBCT-based synthetic CT using cycle-consistent adversarial network with histogram matching.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2020
Deep Learning in Multi-organ Segmentation.
CoRR, 2020


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