Fingerprint pose estimation based on faster R-CNN. - Jiahong Ouyang; Jianjiang Feng; Jiwen Lu; Zhenhua Guo 001; Jie Zhou 001 (IJCB, 2017)

Task-GAN: Improving Generative Adversarial Network for Image Reconstruction. - Jiahong Ouyang; Guanhua Wang; Enhao Gong; Kevin Chen; John M. Pauly; Greg Zaharchuk (MLMIR@MICCAI, 2019)

Accurate Tissue Interface Segmentation via Adversarial Pre-Segmentation of Anterior Segment OCT Images. - Jiahong Ouyang; Tejas Sudharshan Mathai; Kira L. Lathrop; John M. Galeotti (CoRR, 2019)

Ultra-low-dose 18F-FDG brain PET/MR denoising using deep learning and multi-contrast information. - Junshen Xu; Enhao Gong; Jiahong Ouyang; John M. Pauly; Greg Zaharchuk (Image Processing, 2020)

Recurrent Neural Networks with Longitudinal Pooling and Consistency Regularization. - Jiahong Ouyang; Qingyu Zhao; Edith V. Sullivan; Adolf Pfefferbaum; Susan F. Tapert; Ehsan Adeli 001; Kilian M. Pohl (CoRR, 2020)

Representation Disentanglement for Multi-modal Brain MRI Analysis. - Jiahong Ouyang; Ehsan Adeli 001; Kilian M. Pohl; Qingyu Zhao; Greg Zaharchuk (IPMI, 2021)

Self-supervised Longitudinal Neighbourhood Embedding. - Jiahong Ouyang; Qingyu Zhao; Ehsan Adeli 001; Edith V. Sullivan; Adolf Pfefferbaum; Greg Zaharchuk; Kilian M. Pohl (MICCAI (2), 2021)

Representation Disentanglement for Multi-modal MR Analysis. - Jiahong Ouyang; Ehsan Adeli 001; Kilian M. Pohl; Qingyu Zhao; Greg Zaharchuk (CoRR, 2021)

Longitudinal Pooling & Consistency Regularization to Model Disease Progression From MRIs. - Jiahong Ouyang; Qingyu Zhao; Edith V. Sullivan; Adolf Pfefferbaum; Susan F. Tapert; Ehsan Adeli 001; Kilian M. Pohl (IEEE J. Biomed. Health Informatics, 2021)

Self-supervised learning of neighborhood embedding for longitudinal MRI. - Jiahong Ouyang; Qingyu Zhao; Ehsan Adeli 001; Greg Zaharchuk; Kilian M. Pohl (Medical Image Anal., 2022)

Disentangling Normal Aging From Severity of Disease via Weak Supervision on Longitudinal MRI. - Jiahong Ouyang; Qingyu Zhao; Ehsan Adeli 001; Greg Zaharchuk; Kilian M. Pohl (IEEE Trans. Medical Imaging, 2022)

Weakly Semi-supervised Detection in Lung Ultrasound Videos. - Jiahong Ouyang; Li Chen; Gary Y. Li; Naveen Balaraju; Shubham Patil; Courosh Mehanian; Sourabh Kulhare; Rachel Millin; Kenton W. Gregory; Cynthia Gregory; Meihua Zhu; David O. Kessler; et al. (IPMI, 2023)

Contrastive Self-Supervised Learning for Spatio-Temporal Analysis of Lung Ultrasound Videos. - Li Chen; Jonathan Rubin; Jiahong Ouyang; Naveen Balaraju; Shubham Patil; Courosh Mehanian; Sourabh Kulhare; Rachel Millin; Kenton W. Gregory; Cynthia Gregory; Meihua Zhu; David O. Kessler; et al. (ISBI, 2023)

LSOR: Longitudinally-Consistent Self-Organized Representation Learning. - Jiahong Ouyang; Qingyu Zhao; Ehsan Adeli 001; Wei Peng 009; Greg Zaharchuk; Kilian M. Pohl (MICCAI (1), 2023)

Metadata-Conditioned Generative Models to Synthesize Anatomically-Plausible 3D Brain MRIs. - Wei Peng 009; Tomas M. Bosschieter; Jiahong Ouyang; Robert Paul; Ehsan Adeli 001; Qingyu Zhao; Kilian M. Pohl (CoRR, 2023)

Towards General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks. - Mohammed Baharoon; Waseem Qureshi; Jiahong Ouyang; Yanwu Xu 003; Abdulrhman Aljouie; Wei Peng 009 (CoRR, 2023)

SOE: SO(3)-Equivariant 3D MRI Encoding. - Shizhe He; Magdalini Paschali; Jiahong Ouyang; Adnan Masood; Akshay Chaudhari; Ehsan Adeli-Mosabbeb (MLCN@MICCAI, 2024)

SOM2LM: Self-Organized Multi-Modal Longitudinal Maps. - Jiahong Ouyang; Qingyu Zhao; Ehsan Adeli 001; Greg Zaharchuk; Kilian M. Pohl (MICCAI (2), 2024)

Metadata-conditioned generative models to synthesize anatomically-plausible 3D brain MRIs. - Wei Peng 009; Tomas M. Bosschieter; Jiahong Ouyang; Robert Paul; Edith V. Sullivan; Adolf Pfefferbaum; Ehsan Adeli 001; Qingyu Zhao; Kilian M. Pohl (Medical Image Anal., 2024)

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients. - Jiaqi Wu; Jiahong Ouyang; Farshad Moradi; Mohammad Mehdi Khalighi; Greg Zaharchuk (CoRR, 2025)