Richard L. J. Qiu

According to our database, Richard L. J. Qiu authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

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

Zach Eidex, Mojtaba Safari, Richard L. J. Qiu, David S. Yu, Hui-Kuo Shu, Hui Mao, Xiaofeng Yang

CoRR, 2024

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

Zach Eidex, Mojtaba Safari, Jacob F. Wynne, Richard L. J. Qiu, Tonghe Wang, David Viar Hernandez, Hui-Kuo Shu, Hui Mao, Xiaofeng Yang

CoRR, 2024

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

Mojtaba Safari, Zach Eidex, Shaoyan Pan, Richard L. J. Qiu, Xiaofeng Yang

CoRR, 2024

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

Xuxin Chen, Yuheng Li, Mingzhe Hu, Ella Salari, Xiaoqian Chen, Richard L. J. Qiu, Bin Zheng, Xiaofeng Yang

CoRR, 2024

2023

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

Shaoyan Pan, Elham Abouei, Jacob F. Wynne, Tonghe Wang, Richard L. J. Qiu, Yuheng Li, Chih-Wei Chang, Junbo Peng, Justin Roper, Pretesh Patel, David S. Yu, Hui Mao, Xiaofeng Yang

CoRR, 2023

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

Yuheng Li, Jacob F. Wynne, Jing Wang, Richard L. J. Qiu, Justin Roper, Shaoyan Pan, Ashesh B. Jani, Tian Liu, Pretesh R. Patel, Hui Mao, Xiaofeng Yang

CoRR, 2023

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

Shaoyan Pan, Chih-Wei Chang, Junbo Peng, Jiahan Zhang, Richard L. J. Qiu, Tonghe Wang, Justin Roper, Tian Liu, Hui Mao, Xiaofeng Yang

CoRR, 2023

2022

Deep-learning-based markerless tumor localization using 2D KV/MV image.

Yang Lei, Zhen Tian, Richard L. J. Qiu, Tonghe Wang, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Image Processing, 2022

CBCT lung multi-OAR segmentation via hierarchical network.

Richard L. J. Qiu, Yang Lei, Joseph Shelton, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Aparna H. Kesarwala, Xiaofeng Yang

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.

Richard L. J. Qiu, Yang Lei, Aparna H. Kesarwala, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2020

Deep Learning in Multi-organ Segmentation.

Yang Lei, Yabo Fu, Tonghe Wang, Richard L. J. Qiu, Walter J. Curran, Tian Liu, Xiaofeng Yang

CoRR, 2020