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ORCIDQingyu Zhao
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2020 – today
- 2024
[j13]Wei Peng
, Tomas M. Bosschieter, Jiahong Ouyang, Robert Paul, Edith V. Sullivan, Adolf Pfefferbaum, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl:
Metadata-conditioned generative models to synthesize anatomically-plausible 3D brain MRIs. Medical Image Anal. 98: 103325 (2024)- [j12]Mark Endo, Favour Nerrise, Qingyu Zhao, Edith V. Sullivan, Li Fei-Fei, Victor W. Henderson, Kilian M. Pohl, Kathleen L. Poston, Ehsan Adeli:
Data-driven discovery of movement-linked heterogeneity in neurodegenerative diseases. Nat. Mac. Intell. 6(9): 1034-1045 (2024) - [j11]Songyan Niu, Qingyu Zhao, Haibiao Chen, Shuangxia Niu, Linni Jian:
Noncooperative Metal Object Detection Using Pole-to-Pole EM Distribution Characteristics for Wireless EV Charger Employing DD Coils. IEEE Trans. Ind. Electron. 71(6): 6335-6344 (2024) - [c38]Jensen Hwa, Qingyu Zhao, Aditya Lahiri, Adnan Masood, Babak Salimi, Ehsan Adeli:
Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation. CVPR Workshops 2024: 103-112 - [c37]Magdalini Paschali, Yu Hang Jiang, Spencer Siegel, Camila González, Kilian M. Pohl, Akshay Chaudhari, Qingyu Zhao:
Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging. PRIME@MICCAI 2024: 24-34 - [c36]Yixin Wang, Wei Peng, Yu Zhang, Ehsan Adeli-Mosabbeb, Qingyu Zhao, Kilian M. Pohl:
Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning. MLCN@MICCAI 2024: 24-34 - [c35]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl:
SOM2LM: Self-Organized Multi-Modal Longitudinal Maps. MICCAI (2) 2024: 400-410 - [i25]Jensen Hwa, Qingyu Zhao, Aditya Lahiri, Adnan Masood, Babak Salimi, Ehsan Adeli:
Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation. CoRR abs/2404.13798 (2024) - [i24]Wei Peng, Tian Xia, Fabio De Sousa Ribeiro, Tomas M. Bosschieter, Ehsan Adeli-Mosabbeb, Qingyu Zhao, Ben Glocker, Kilian M. Pohl:
Latent 3D Brain MRI Counterfactual. CoRR abs/2409.05585 (2024) - [i23]Yixin Wang, Wei Peng, Yu Zhang, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl:
Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning. CoRR abs/2409.13887 (2024) - [i22]Magdalini Paschali, Yu Hang Jiang, Spencer Siegel, Camila González, Kilian M. Pohl, Akshay Chaudhari, Qingyu Zhao:
Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging. CoRR abs/2410.00946 (2024) - 2023
- [c34]Wei Peng, Ehsan Adeli, Tomas M. Bosschieter, Sanghyun Park, Qingyu Zhao, Kilian M. Pohl:
Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model. MICCAI (8) 2023: 14-24 - [c33]Yixin Wang, Wei Peng, Susan F. Tapert, Qingyu Zhao, Kilian M. Pohl:
Imputing Brain Measurements Across Data Sets via Graph Neural Networks. PRIME@MICCAI 2023: 172-183 - [c32]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Wei Peng, Greg Zaharchuk, Kilian M. Pohl:
LSOR: Longitudinally-Consistent Self-Organized Representation Learning. MICCAI (1) 2023: 279-289 - [c31]Favour Nerrise, Qingyu Zhao, Kathleen L. Poston, Kilian M. Pohl, Ehsan Adeli:
An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment. MICCAI (2) 2023: 723-733 - [i21]Favour Nerrise, Qingyu Zhao, Kathleen L. Poston, Kilian M. Pohl, Ehsan Adeli:
An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment. CoRR abs/2307.13108 (2023) - [i20]Yixin Wang, Wei Peng, Susan F. Tapert, Qingyu Zhao, Kilian M. Pohl:
Imputing Brain Measurements Across Data Sets via Graph Neural Networks. CoRR abs/2308.09907 (2023) - [i19]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Wei Peng, Greg Zaharchuk, Kilian M. Pohl:
LSOR: Longitudinally-Consistent Self-Organized Representation Learning. CoRR abs/2310.00213 (2023) - [i18]Wei Peng, Tomas M. Bosschieter, Jiahong Ouyang, Robert Paul, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl:
Metadata-Conditioned Generative Models to Synthesize Anatomically-Plausible 3D Brain MRIs. CoRR abs/2310.04630 (2023) - 2022
- [j10]Jiequan Zhang, Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Robert Paul, Victor G. Valcour, Kilian M. Pohl:
Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment. Medical Image Anal. 75: 102246 (2022) - [j9]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl:
Self-supervised learning of neighborhood embedding for longitudinal MRI. Medical Image Anal. 82: 102571 (2022) - [j8]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl:
Disentangling Normal Aging From Severity of Disease via Weak Supervision on Longitudinal MRI. IEEE Trans. Medical Imaging 41(10): 2558-2569 (2022) - [c30]Stephen Su, Samuel Kwong, Qingyu Zhao, De-An Huang, Juan Carlos Niebles, Ehsan Adeli:
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding. ECCV Workshops (6) 2022: 317-333 - [c29]Magdalini Paschali, Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl:
Bridging the Gap Between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing. PRIME@MICCAI 2022: 13-23 - [c28]Ayush Singla, Qingyu Zhao, Daniel K. Do, Yuyin Zhou, Kilian M. Pohl, Ehsan Adeli:
Multiple Instance Neuroimage Transformer. PRIME@MICCAI 2022: 36-48 - [c27]Yueting Li, Qingyue Wei, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao:
Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome. MICCAI (1) 2022: 231-240 - [c26]Anthony Vento, Qingyu Zhao, Robert Paul, Kilian M. Pohl, Ehsan Adeli:
A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models. MICCAI (3) 2022: 387-397 - [c25]Pranjal Sahu, Samuel Gerber, Qingyu Zhao, Tung Nguyen, Matt McCormick, Beatriz Paniagua, Jared Vicory:
Thin shell demons for dental scan registration. Image Processing 2022 - [i17]Anthony Vento, Qingyu Zhao, Robert Paul, Kilian M. Pohl, Ehsan Adeli:
A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models. CoRR abs/2207.04607 (2022) - [i16]Magdalini Paschali, Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl:
Bridging the Gap between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing. CoRR abs/2207.14349 (2022) - [i15]Ayush Singla, Qingyu Zhao, Daniel K. Do, Yuyin Zhou, Kilian M. Pohl, Ehsan Adeli:
Multiple Instance Neuroimage Transformer. CoRR abs/2208.09567 (2022) - [i14]Stephen Su, Samuel Kwong, Qingyu Zhao, De-An Huang, Juan Carlos Niebles, Ehsan Adeli:
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding. CoRR abs/2208.10077 (2022) - [i13]Yueting Li, Qingyue Wei, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao:
Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome. CoRR abs/2211.07363 (2022) - 2021
- [j7]Qingyu Zhao, Zixuan Liu, Ehsan Adeli, Kilian M. Pohl:
Longitudinal self-supervised learning. Medical Image Anal. 71: 102051 (2021) - [j6]Mandy Lu, Qingyu Zhao, Kathleen L. Poston, Edith V. Sullivan, Adolf Pfefferbaum, Marian Shahid, Maya Katz, Leila Montaser Kouhsari, Kevin A. Schulman, Arnold Milstein, Juan Carlos Niebles, Victor W. Henderson, Li Fei-Fei, Kilian M. Pohl, Ehsan Adeli:
Quantifying Parkinson's disease motor severity under uncertainty using MDS-UPDRS videos. Medical Image Anal. 73: 102179 (2021) - [j5]Jiahong Ouyang, Qingyu Zhao, Edith V. Sullivan, Adolf Pfefferbaum, Susan F. Tapert, Ehsan Adeli, Kilian M. Pohl:
Longitudinal Pooling & Consistency Regularization to Model Disease Progression From MRIs. IEEE J. Biomed. Health Informatics 25(6): 2082-2092 (2021) - [c24]Mandy Lu, Qingyu Zhao, Jiequan Zhang, Kilian M. Pohl, Li Fei-Fei, Juan Carlos Niebles, Ehsan Adeli:
Metadata Normalization. CVPR 2021: 10917-10927 - [c23]Zixuan Liu, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao:
Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models. IPMI 2021: 71-82 - [c22]Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk:
Representation Disentanglement for Multi-modal Brain MRI Analysis. IPMI 2021: 321-333 - [c21]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Edith V. Sullivan, Adolf Pfefferbaum, Greg Zaharchuk, Kilian M. Pohl:
Self-supervised Longitudinal Neighbourhood Embedding. MICCAI (2) 2021: 80-89 - [c20]Anastasia Butskova, Rain Juhl, Dzenan Zukic, Aashish Chaudhary, Kilian M. Pohl, Qingyu Zhao:
Adversarial Bayesian Optimization for Quantifying Motion Artifact Within MRI. PRIME@MICCAI 2021: 83-92 - [c19]Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl:
Longitudinal Correlation Analysis for Decoding Multi-modal Brain Development. MICCAI (7) 2021: 400-409 - [c18]Ehsan Adeli-Mosabbeb, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Juan Carlos Niebles, Kilian M. Pohl:
Representation Learning with Statistical Independence to Mitigate Bias. WACV 2021: 2512-2522 - [i12]Zixuan Liu, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao:
Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models. CoRR abs/2102.08239 (2021) - [i11]Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk:
Representation Disentanglement for Multi-modal MR Analysis. CoRR abs/2102.11456 (2021) - [i10]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Edith V. Sullivan, Adolf Pfefferbaum, Greg Zaharchuk, Kilian M. Pohl:
Self-Supervised Longitudinal Neighbourhood Embedding. CoRR abs/2103.03840 (2021) - [i9]Mandy Lu, Qingyu Zhao, Jiequan Zhang, Kilian M. Pohl, Li Fei-Fei, Juan Carlos Niebles, Ehsan Adeli:
Metadata Normalization. CoRR abs/2104.09052 (2021) - [i8]Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl:
Longitudinal Correlation Analysis for Decoding Multi-Modal Brain Development. CoRR abs/2107.04724 (2021) - 2020
- [j4]Ehsan Adeli, Qingyu Zhao, Natalie M. Zahr, Aimee Goldstone, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl:
Deep learning identifies morphological determinants of sex differences in the pre-adolescent brain. NeuroImage 223: 117293 (2020) - [c17]Rafi Ayub, Qingyu Zhao, M. J. Meloy, Edith V. Sullivan, Adolf Pfefferbaum, Ehsan Adeli, Kilian M. Pohl:
Inpainting Cropped Diffusion MRI Using Deep Generative Models. PRIME@MICCAI 2020: 91-100 - [c16]Soham Gadgil, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Ehsan Adeli, Kilian M. Pohl:
Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis. MICCAI (7) 2020: 528-538 - [i7]Soham Gadgil, Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl:
Spatio-Temporal Graph Convolution for Functional MRI Analysis. CoRR abs/2003.10613 (2020) - [i6]Jiahong Ouyang, Qingyu Zhao, Edith V. Sullivan, Adolf Pfefferbaum, Susan F. Tapert, Ehsan Adeli, Kilian M. Pohl:
Recurrent Neural Networks with Longitudinal Pooling and Consistency Regularization. CoRR abs/2003.13958 (2020) - [i5]Qingyu Zhao, Zixuan Liu, Ehsan Adeli, Kilian M. Pohl:
LSSL: Longitudinal Self-Supervised Learning. CoRR abs/2006.06930 (2020)
2010 – 2019
- 2019
- [c15]Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl:
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis. IPMI 2019: 867-879 - [c14]Juntang Zhuang, Nicha C. Dvornek, Qingyu Zhao, Xiaoxiao Li, Pamela Ventola, James S. Duncan:
Prediction of Treatment Outcome for Autism from Structure of the Brain Based On Sure Independence Screening. ISBI 2019: 404-408 - [c13]Nicolas Honnorat, Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl:
Covariance Shrinkage for Dynamic Functional Connectivity. CNI@MICCAI 2019: 32-41 - [c12]Tuo Leng, Qingyu Zhao, Chao Yang, Zhufu Lu, Ehsan Adeli, Kilian M. Pohl:
Data Augmentation Based on Substituting Regional MRIs Volume Scores. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 32-41 - [c11]Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl:
Confounder-Aware Visualization of ConvNets. MLMI@MICCAI 2019: 328-336 - [c10]Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat, Tuo Leng, Kilian M. Pohl:
Variational AutoEncoder for Regression: Application to Brain Aging Analysis. MICCAI (2) 2019: 823-831 - [c9]Qingyu Zhao, Lu Wang, Zefan Zhou:
Multiple Object Tracking Based on the Deep Neural Networks and Correlation Filter. ROBIO 2019: 2989-2994 - [i4]Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Kilian M. Pohl:
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis. CoRR abs/1902.03717 (2019) - [i3]Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat, Tuo Leng, Kilian M. Pohl:
Variational AutoEncoder For Regression: Application to Brain Aging Analysis. CoRR abs/1904.05948 (2019) - [i2]Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl:
Confounder-Aware Visualization of ConvNets. CoRR abs/1907.12727 (2019) - [i1]Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Juan Carlos Niebles, Kilian M. Pohl:
Bias-Resilient Neural Network. CoRR abs/1910.03676 (2019) - 2018
- [j3]Ruibin Ma, Qingyu Zhao, Rui Wang, James N. Damon, Julian G. Rosenman, Stephen M. Pizer:
Deforming generalized cylinders without self-intersection by means of a parametric center curve. Comput. Vis. Media 4(4): 305-321 (2018) - [j2]Ehsan Adeli, Dongjin Kwon, Qingyu Zhao, Adolf Pfefferbaum, Natalie M. Zahr, Edith V. Sullivan, Kilian M. Pohl:
Chained regularization for identifying brain patterns specific to HIV infection. NeuroImage 183: 425-437 (2018) - [c8]Qingyu Zhao, Dongjin Kwon, Kilian M. Pohl:
A Riemannian Framework for Longitudinal Analysis of Resting-State Functional Connectivity. MICCAI (3) 2018: 145-153 - [c7]Ruibin Ma, Qingyu Zhao, Rui Wang, James N. Damon, Julian G. Rosenman, Stephen M. Pizer:
Skeleton-based Generalized Cylinder Deformation under the Relative Curvature Condition. PG (Short Papers and Posters) 2018: 37-40 - 2017
- [b1]Qingyu Zhao:
Surface Registration for Pharyngeal Radiation Treatment Planning. University of North Carolina, Chapel Hill, USA, 2017 - [c6]Qingyu Zhao, Stephen M. Pizer, Ron Alterovitz, Marc Niethammer, Julian G. Rosenman:
Orthotropic Thin Shell Elasticity Estimation for Surface Registration. IPMI 2017: 493-504 - [c5]Rui Wang, True Price, Qingyu Zhao, Jan-Michael Frahm, Julian G. Rosenman, Stephen M. Pizer:
Improving 3D surface reconstruction from endoscopic video via fusion and refined reflectance modeling. Image Processing 2017: 101330B - 2016
- [c4]Qingyu Zhao, True Price, Stephen M. Pizer, Marc Niethammer, Ron Alterovitz, Julian G. Rosenman:
The Endoscopogram: A 3D Model Reconstructed from Endoscopic Video Frames. MICCAI (1) 2016: 439-447 - 2015
- [c3]Qingyu Zhao, James Price, Stephen M. Pizer, Marc Niethammer, Ron Alterovitz, Julian G. Rosenman:
Surface Registration in the Presence of Missing Patches and Topology Change. MIUA 2015: 8-13 - 2014
- [j1]Qingyu Zhao, Chen-Rui Chou, Gig S. Mageras, Stephen M. Pizer:
Local Metric Learning in 2D/3D Deformable Registration With Application in the Abdomen. IEEE Trans. Medical Imaging 33(8): 1592-1600 (2014) - [c2]Qingyu Zhao, Stephen M. Pizer, Marc Niethammer, Julian G. Rosenman:
Geometric-Feature-Based Spectral Graph Matching in Pharyngeal Surface Registration. MICCAI (1) 2014: 259-266
2000 – 2009
- 2004
- [c1]Zhao-Hui Du, Chu-Cheow Lim, Xiao-Feng Li, Chen Yang, Qingyu Zhao, Tin-Fook Ngai:
A cost-driven compilation framework for speculative parallelization of sequential programs. PLDI 2004: 71-81
Coauthor Index
[j13] [j12] [c38] [c36] [c35] [i25] [i24] [i23] [c34] [c32] [c31] [i21] [i19] [i18] [j10] [j9] [j8] [c30] [c29] [c28] [c27] [c26] [i17] [i16] [i15] [i14] [i13] [j7] [j6] [j5] [c24] [c23] [c22] [c21] [c19] [c18] [i12] [i11] [i10] [i9] [i8] [j4] [c17] [c16] [i7] [i6] [i5] [c15] [c13] [c12] [c11] [c10] [i4] [i3] [i2] [i1] [j2]
[j13] [j12] [c37] [c36] [c35] [i24] [i23] [i22] [c34] [c33] [c32] [c31] [i21] [i20] [i19] [i18] [j10] [j9] [j8] [c29] [c28] [c27] [c26] [i17] [i16] [i15] [i13] [j7] [j6] [j5] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [i12] [i11] [i10] [i9] [i8] [j4] [c17] [c16] [i7] [i6] [i5] [c15] [c13] [c12] [c11] [c10] [i4] [i3] [i2] [i1] [j2] [c8]
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