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ORCIDQi Yang 0004
Person information
- affiliation: Vanderbilt University, Department of Computer Science, Nashville, TN, USA
Other persons with the same name
- Qi Yang — disambiguation page
- Qi Yang 0001 — Wuhan Research Institute of Posts and Telecommunications, State Key Laboratory of Optical Communication Technologies and Networks, China (and 2 more)
- Qi Yang 0002
![[0000-0002-3637-6232]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3637-6232")
— National University of Defense Technology, NUDT, College of Electronic Science and Technology, Changsha, China - Qi Yang 0003 — Tencent MediaLab (and 1 more)
- Qi Yang 0005 — ITMO Univerity, Saint Petersburg, Russia
- Qi Yang 0006 — Xiamen University, School of Informatics, China
- Qi Yang 0007 — University of Michigan, Computer Science and Engineering Division, MI, USA
- Qi Yang 0008 — Huazhong University of Science and Technology, School of Optical and Electronic Information, Wuhan, China
- Qi Yang 0009 — Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China
- Qi Yang 0010 — Southern University of Science and Technology, Department of Computer Science and Engineering, Shenzhen, China
- Qi Yang 0011 — University of Wisconsin, Department of Computer Science, Platteville, WI, USA (and 1 more)
- Qi Yang 0012 — Northwestern Polytechnical University, School of Electronics and Information, Xian, China
- Qi Yang 0013 — National Center of ITS Engineering and Technology, Beijing, China
- Qi Yang 0014 — Changjiang Securities Company Limited, Wuhan, Hubei, China (and 1 more)
- Qi Yang 0015 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
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2020 – today
- 2024
[i15]Ho Hin Lee, Adam M. Saunders, Michael E. Kim, Samuel W. Remedios, Yucheng Tang, Qi Yang, Xin Yu, Shunxing Bao, Chloe Cho, Louise A. Mawn, Tonia S. Rex, Kevin L. Schey, Blake E. Dewey, Jeffrey M. Spraggins, Jerry L. Prince, Yuankai Huo, Bennett A. Landman:
Super-Resolution Multi-Contrast Unbiased Eye Atlases With Deep Probabilistic Refinement. CoRR abs/2401.03060 (2024)- 2023
- [j4]Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang:
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation. Medical Image Anal. 90: 102939 (2023) - [j3]Ho Hin Lee, Yucheng Tang, Qi Yang, Xin Yu, Leon Y. Cai, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Yuankai Huo:
Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation. IEEE J. Biomed. Health Informatics 27(9): 4444-4453 (2023) - [c10]Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Thomas Z. Li, Yuankai Huo, Xenofon D. Koutsoukos, Bennett A. Landman:
Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. MICCAI (4) 2023: 632-641 - [c9]Leon Yichen Cai, Ho Hin Lee, Nancy Rose Newlin, Cailey Irene Kerley, Praitayini Kanakaraj, Qi Yang, Graham Walter Johnson, Daniel Moyer, Kurt Gregory Schilling, Francois Rheault, Bennett A. Landman:
Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context. MIDL 2023: 1124-1143 - [c8]Shunxing Bao, Ho Hin Lee, Qi Yang, Lucas Walker Remedios, Ruining Deng, Can Cui, Leon Yichen Cai, Kaiwen Xu, Xin Yu, Sophie Chiron, Yike Li, Nathan Heath Patterson, Yaohong Wang, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo:
Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis. MIDL 2023: 1406-1422 - [c7]Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Riqiang Gao, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman:
Longitudinal variability analysis on low-dose abdominal CT with deep learning-based segmentation. Medical Imaging: Image Processing 2023 - [c6]Ho Hin Lee, Yucheng Tang, Shunxing Bao, Qi Yang, Xin Yu, Kevin L. Schey, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman:
Unsupervised registration refinement for generating unbiased eye atlas. Medical Imaging: Image Processing 2023 - [i14]Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Thomas Z. Li, Yuankai Huo, Xenofon D. Koutsoukos, Bennett A. Landman:
Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. CoRR abs/2303.05785 (2023) - [i13]Yinchi Zhou, Ho Hin Lee, Yucheng Tang, Xin Yu, Qi Yang, Shunxing Bao, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman:
Multi-Contrast Computed Tomography Atlas of Healthy Pancreas. CoRR abs/2306.01853 (2023) - [i12]Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Shunxing Bao, Yuankai Huo, Bennett A. Landman:
Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration. CoRR abs/2309.04071 (2023) - [i11]Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman:
Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization. CoRR abs/2309.09392 (2023) - [i10]Ho Hin Lee, Quan Liu, Qi Yang, Xin Yu, Shunxing Bao, Yuankai Huo, Bennett A. Landman:
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution. CoRR abs/2310.00199 (2023) - [i9]Chenyu Gao, Michael E. Kim, Ho Hin Lee, Qi Yang, Nazirah Mohd Khairi, Praitayini Kanakaraj, Nancy R. Newlin, Derek B. Archer, Angela L. Jefferson, Warren D. Taylor, Brian D. Boyd, Lori L. Beason-Held, Susan M. Resnick, The BIOCARD Study Team, Yuankai Huo, Katherine D. Van Schaik, Kurt G. Schilling, Daniel Moyer, Ivana Isgum, Bennett A. Landman:
Predicting Age from White Matter Diffusivity with Residual Learning. CoRR abs/2311.03500 (2023) - 2022
- [c5]Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman:
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models. MICCAI (8) 2022: 202-212 - [c4]Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman:
Accelerating 2D abdominal organ segmentation with active learning. Medical Imaging: Image Processing 2022 - [c3]Qi Yang, Xin Yu, Ho Hin Lee, Yucheng Tang, Shunxing Bao, Kristofer S. Gravenstein, Ann Zenobia Moore, Sokratis Makrogiannis, Luigi Ferrucci, Bennett A. Landman:
Quantification of muscle, bones, and fat on single slice thigh CT. Medical Imaging: Image Processing 2022 - [c2]Ho Hin Lee, Yucheng Tang, Shunxing Bao, Yan Xu, Qi Yang, Xin Yu, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Jeffrey M. Spraggins, Mattias P. Heinrich, Yuankai Huo, Bennett A. Landman:
Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlas. Medical Imaging: Image Processing 2022 - [i8]Xin Yu, Yucheng Tang, Yinchi Zhou, Riqiang Gao, Qi Yang, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Yuankai Huo, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Bennett A. Landman:
Characterizing Renal Structures with 3D Block Aggregate Transformers. CoRR abs/2203.02430 (2022) - [i7]Ho Hin Lee, Yucheng Tang, Riqiang Gao, Qi Yang, Xin Yu, Shunxing Bao, James G. Terry, John Jeffrey Carr, Yuankai Huo, Bennett A. Landman:
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation. CoRR abs/2205.05898 (2022) - [i6]Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Riqiang Gao, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman:
Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation. CoRR abs/2209.14217 (2022) - [i5]Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang:
UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation. CoRR abs/2209.14378 (2022) - [i4]Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman:
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models. CoRR abs/2209.14467 (2022) - [i3]Ho Hin Lee, Yucheng Tang, Han Liu, Yubo Fan, Leon Y. Cai, Qi Yang, Xin Yu, Shunxing Bao, Yuankai Huo, Bennett A. Landman:
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation. CoRR abs/2210.08652 (2022) - [i2]Qi Yang, Xin Yu, Ho Hin Lee, Leon Y. Cai, Kaiwen Xu, Shunxing Bao, Yuankai Huo, Ann Zenobia Moore, Sokratis Makrogiannis, Luigi Ferrucci, Bennett A. Landman:
Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training. CoRR abs/2212.00059 (2022) - 2021
- [j2]Kurt G. Schilling, Chantal M. W. Tax, Francois Rheault, Colin B. Hansen, Qi Yang, Fang-Cheng Yeh, Leon Y. Cai, Adam W. Anderson, Bennett A. Landman:
Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and bundle segmentation workflow. NeuroImage 242: 118451 (2021) - [j1]Colin B. Hansen, Qi Yang, Ilwoo Lyu, Francois Rheault, Cailey I. Kerley, Bramsh Qamar Chandio, Shreyas Fadnavis, Owen A. Williams, Andrea T. Shafer, Susan M. Resnick, David H. Zald, Laurie E. Cutting, Warren D. Taylor, Brian D. Boyd, Eleftherios Garyfallidis, Adam W. Anderson, Maxime Descoteaux, Bennett A. Landman, Kurt G. Schilling:
Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography. Neuroinformatics 19(3): 447-460 (2021) - [c1]Yucheng Tang, Riqiang Gao, Ho Hin Lee, Qi Yang, Xin Yu, Yuyin Zhou, Shunxing Bao, Yuankai Huo, Jeffrey M. Spraggins, Jack Virostko, Zhoubing Xu, Bennett A. Landman:
Pancreas CT Segmentation by Predictive Phenotyping. MICCAI (1) 2021: 25-35 - [i1]Ho Hin Lee, Yucheng Tang, Qi Yang, Xin Yu, Shunxing Bao, Bennett A. Landman, Yuankai Huo:
Attention-Guided Supervised Contrastive Learning for Semantic Segmentation. CoRR abs/2106.01596 (2021)
Coauthor Index
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