Richard L. J. Qiu

23 papers B 2Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advancing MRI reconstruction: A systematic review of deep learning and compressed sensing integration. Biomed. Signal Process. Control. Mojtaba Safari, Zach Eidex, Chih-Wei Chang, Richard L. J. Qiu, Xiaofeng Yang
2026	J	`jnl`	Vision foundation model for 3D magnetic resonance imaging segmentation, classification, and registration. Medical Image Anal. Shansong Wang, Mojtaba Safari, Qiang Li, Chih-Wei Chang, Richard L. J. Qiu, Justin Roper, David S. Yu, Xiaofeng Yang
2025	J	`jnl`	A Physics-Informed Deep Learning Model for MRI Brain Motion Correction. CoRR Mojtaba Safari, Shansong Wang, Zach Eidex, Richard L. J. Qiu, Chih-Wei Chang, David S. Yu, Xiaofeng Yang
2025	J	`jnl`	Advancing MRI Reconstruction: A Systematic Review of Deep Learning and Compressed Sensing Integration. CoRR Mojtaba Safari, Zach Eidex, Chih-Wei Chang, Richard L. J. Qiu, Xiaofeng Yang
2025	J	`jnl`	An Efficient 3D Latent Diffusion Model for T1-contrast Enhanced MRI Generation. CoRR Zach Eidex, Mojtaba Safari, Jie Ding, Richard L. J. Qiu, Justin Roper, David S. Yu, Hui-Kuo Shu, Zhen Tian, Hui Mao, Xiaofeng Yang
2025	J	`jnl`	DINOv3 with Test-Time Training for Medical Image Registration. CoRR Shansong Wang, Mojtaba Safari, Mingzhe Hu, Qiang Li, Chih-Wei Chang, Richard L. J. Qiu, Xiaofeng Yang
2025	J	`jnl`	Efficient Vision Mamba for MRI Super-Resolution via Hybrid Selective Scanning. CoRR Mojtaba Safari, Shansong Wang, Vanessa Wildman, Mingzhe Hu, Zach Eidex, Chih-Wei Chang, Erik H. Middlebrooks, Richard L. J. Qiu, Pretesh Patel, Ashesh B. Jani, Hui Mao, Zhen Tian, Xiaofeng Yang
2025	J	`jnl`	MRI motion correction via efficient residual-guided denoising diffusion probabilistic models. CoRR Mojtaba Safari, Shansong Wang, Qiang Li, Zach Eidex, Richard L. J. Qiu, Chih-Wei Chang, Hui Mao, Xiaofeng Yang
2025	J	`jnl`	RoMedFormer: A Rotary-Embedding Transformer Foundation Model for 3D Genito-Pelvic Structure Segmentation in MRI and CT. CoRR Yuheng Li, Mingzhe Hu, Richard L. J. Qiu, Maria Thor, Andre Williams, Deborah Marshall, Xiaofeng Yang
2025	J	`jnl`	Systematic Review and Meta-analysis of AI-driven MRI Motion Artifact Detection and Correction. CoRR Mojtaba Safari, Zach Eidex, Richard L. J. Qiu, Matthew Goette, Tonghe Wang, Xiaofeng Yang
2025	J	`jnl`	Triad: Vision Foundation Model for 3D Magnetic Resonance Imaging. CoRR Shansong Wang, Mojtaba Safari, Qiang Li, Chih-Wei Chang, Richard L. J. Qiu, Justin Roper, David S. Yu, Xiaofeng Yang
2025	J	`jnl`	Unifying Biomedical Vision-Language Expertise: Towards a Generalist Foundation Model via Multi-CLIP Knowledge Distillation. CoRR Shansong Wang, Zhecheng Jin, Mingzhe Hu, Mojtaba Safari, Feng Zhao, Chih-Wei Chang, Richard L. J. Qiu, Justin Roper, David S. Yu, Xiaofeng Yang
2024	J	`jnl`	Adaptive Self-Supervised Consistency-Guided Diffusion Model for Accelerated MRI Reconstruction. CoRR Mojtaba Safari, Zach Eidex, Shaoyan Pan, Richard L. J. Qiu, Xiaofeng Yang
2024	J	`jnl`	Deep Learning Based Apparent Diffusion Coefficient Map Generation from Multi-parametric MR Images for Patients with Diffuse Gliomas. CoRR Zach Eidex, Mojtaba Safari, Jacob F. Wynne, Richard L. J. Qiu, Tonghe Wang, David Viar Hernandez, Hui-Kuo Shu, Hui Mao, Xiaofeng Yang
2024	J	`jnl`	Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography. CoRR Xuxin Chen, Yuheng Li, Mingzhe Hu, Ella Salari, Xiaoqian Chen, Richard L. J. Qiu, Bin Zheng, Xiaofeng Yang
2024	J	`jnl`	T1-contrast Enhanced MRI Generation from Multi-parametric MRI for Glioma Patients with Latent Tumor Conditioning. CoRR Zach Eidex, Mojtaba Safari, Richard L. J. Qiu, David S. Yu, Hui-Kuo Shu, Hui Mao, Xiaofeng Yang
2023	J	`jnl`	Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI. CoRR 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
2023	J	`jnl`	Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis. CoRR Shaoyan Pan, Chih-Wei Chang, Junbo Peng, Jiahan Zhang, Richard L. J. Qiu, Tonghe Wang, Justin Roper, Tian Liu, Hui Mao, Xiaofeng Yang
2023	J	`jnl`	Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model. CoRR 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
2022	—	`conf`	CBCT lung multi-OAR segmentation via hierarchical network. Biomedical Applications in Molecular, Structural, and Functional Imaging Richard L. J. Qiu, Yang Lei, Joseph Shelton, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Aparna H. Kesarwala, Xiaofeng Yang
2022	B	`conf`	Deep-learning-based markerless tumor localization using 2D KV/MV image. Image Processing Yang Lei, Zhen Tian, Richard L. J. Qiu, Tonghe Wang, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
2021	B	`conf`	Chest CBCT-based synthetic CT using cycle-consistent adversarial network with histogram matching. Image Processing Richard L. J. Qiu, Yang Lei, Aparna H. Kesarwala, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang
2020	J	`jnl`	Deep Learning in Multi-organ Segmentation. CoRR Yang Lei, Yabo Fu, Tonghe Wang, Richard L. J. Qiu, Walter J. Curran, Tian Liu, Xiaofeng Yang