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Richard L. J. Qiu
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2020 – today
- 2024
- [i8]Xuxin Chen, Yuheng Li, Mingzhe Hu, Ella Salari, Xiaoqian Chen, Richard L. J. Qiu, Bin Zheng, Xiaofeng Yang:
Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography. CoRR abs/2404.15946 (2024) - [i7]Mojtaba Safari, Zach Eidex, Shaoyan Pan, Richard L. J. Qiu, Xiaofeng Yang:
Adaptive Self-Supervised Consistency-Guided Diffusion Model for Accelerated MRI Reconstruction. CoRR abs/2406.15656 (2024) - [i6]Zach Eidex, Mojtaba Safari, Jacob F. Wynne, Richard L. J. Qiu, Tonghe Wang, David Viar Hernandez, Hui-Kuo Shu, Hui Mao, Xiaofeng Yang:
Deep Learning Based Apparent Diffusion Coefficient Map Generation from Multi-parametric MR Images for Patients with Diffuse Gliomas. CoRR abs/2407.02616 (2024) - [i5]Zach Eidex, Mojtaba Safari, Richard L. J. Qiu, David S. Yu, Hui-Kuo Shu, Hui Mao, Xiaofeng Yang:
T1-contrast Enhanced MRI Generation from Multi-parametric MRI for Glioma Patients with Latent Tumor Conditioning. CoRR abs/2409.01622 (2024) - 2023
- [i4]Shaoyan Pan, Chih-Wei Chang
, Junbo Peng, Jiahan Zhang, Richard L. J. Qiu, Tonghe Wang, Justin Roper, Tian Liu, Hui Mao, Xiaofeng Yang:
Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis. CoRR abs/2305.00042 (2023) - [i3]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:
Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI. CoRR abs/2305.00385 (2023) - [i2]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:
Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model. CoRR abs/2305.19467 (2023) - 2022
- [c3]Richard L. J. Qiu, Yang Lei
, Joseph Shelton, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Aparna H. Kesarwala
, Xiaofeng Yang
:
CBCT lung multi-OAR segmentation via hierarchical network. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c2]Yang Lei
, Zhen Tian, Richard L. J. Qiu, Tonghe Wang, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
:
Deep-learning-based markerless tumor localization using 2D KV/MV image. Image Processing 2022 - 2021
- [c1]Richard L. J. Qiu, Yang Lei
, Aparna H. Kesarwala
, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang
:
Chest CBCT-based synthetic CT using cycle-consistent adversarial network with histogram matching. Image Processing 2021 - 2020
- [i1]Yang Lei, Yabo Fu, Tonghe Wang, Richard L. J. Qiu, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Deep Learning in Multi-organ Segmentation. CoRR abs/2001.10619 (2020)
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last updated on 2024-11-28 20:33 CET by the dblp team
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