3D Automatic Segmentation Method for Retinal Optical Coherence Tomography Volume Data Using Boundary Surface Enhancement. - Yankui Sun; Tian Zhang; Yue Zhao; Yufan He (CoRR, 2015)

Automatic segmentation of canine retinal OCT using adaptive gradient enhancement and region growing. - Yufan He; Yankui Sun; Min Chen 006; Yuanjie Zheng; Hui Liu 007; Cecilia Leon; William Beltran; James C. Gee (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

Towards Topological Correct Segmentation of Macular OCT from Cascaded FCNs. - Yufan He; Aaron Carass; Yeyi Yun; Can Zhao 001; Bruno M. Jedynak; Sharon D. Solomon; Shiv Saidha; Peter A. Calabresi; Jerry L. Prince (FIFI/OMIA@MICCAI, 2017)

Whole Brain Segmentation and Labeling from CT Using Synthetic MR Images. - Can Zhao 001; Aaron Carass; Junghoon Lee; Yufan He; Jerry L. Prince (MLMI@MICCAI, 2017)

基于混淆的广播多重签名方案 (Obfuscation-based Broadcasting Multi-signature Scheme). - Lei Li; Huiwen Jia; Xuehua Ban; Yufan He (计算机科学, 2017)

基于弯曲距离三支决策的时序相似性算法 (Similarity Algorithm Based on Three Way Decision of Time Warping Distance). - Jianfeng Xu; Yufan He; Yuanjian Zhang; Tao Tang (计算机科学, 2017)

Inter-scanner variation independent descriptors for constrained diffeomorphic demons registration of retina OCT. - Sureerat Reaungamornrat; Aaron Carass; Yufan He; Shiv Saidha; Peter A. Calabresi; Jerry L. Prince (Image Processing, 2018)

Topology guaranteed segmentation of the human retina from OCT using convolutional neural networks. - Yufan He; Aaron Carass; Bruno M. Jedynak; Sharon D. Solomon; Shiv Saidha; Peter A. Calabresi; Jerry L. Prince (CoRR, 2018)

三支决策代价目标函数的关系及推理研究 (Relationship and Reasoning Study for Three-way Decision Cost Objective Functions). - Jianfeng Xu; Yufan He; Lan Liu (计算机科学, 2018)

Projection Artifact Suppression For Inner Retina In Oct Angiography. - Yihao Liu 003; Aaron Carass; Angeliki Filippatou; Yufan He; Sharon D. Solomon; Shiv Saidha; Peter A. Calabresi; Jerry L. Prince (ISBI, 2019)

Fully Convolutional Boundary Regression for Retina OCT Segmentation. - Yufan He; Aaron Carass; Yihao Liu 003; Bruno M. Jedynak; Sharon D. Solomon; Shiv Saidha; Peter A. Calabresi; Jerry L. Prince (MICCAI (1), 2019)

Cerebellum parcellation with convolutional neural networks. - Shuo Han 001; Yufan He; Aaron Carass; Sarah H. Ying; Jerry L. Prince (Image Processing, 2019)

Validating Uncertainty in Medical Image Translation. - Jacob C. Reinhold; Yufan He; Shizhong Han; Yunqiang Chen; Dashan Gao 001; Junghoon Lee; Jerry L. Prince; Aaron Carass (ISBI, 2020)

A Disentangled Latent Space for Cross-Site MRI Harmonization. - Blake E. Dewey; Lianrui Zuo; Aaron Carass; Yufan He; Yihao Liu 003; Ellen M. Mowry; Scott D. Newsome; Jiwon Oh; Peter A. Calabresi; Jerry L. Prince (MICCAI (7), 2020)

Self Domain Adapted Network. - Yufan He; Aaron Carass; Lianrui Zuo; Blake E. Dewey; Jerry L. Prince (MICCAI (1), 2020)

Synthesizing Realistic Brain MR Images with Noise Control. - Lianrui Zuo; Blake E. Dewey; Aaron Carass; Yufan He; Muhan Shao; Jacob C. Reinhold; Jerry L. Prince (SASHIMI@MICCAI, 2020)

Segmenting retinal OCT images with inter-B-scan and longitudinal information. - Yufan He; Aaron Carass; Yihao Liu 003; Angeliki Filippatou; Bruno M. Jedynak; Sharon D. Solomon; Shiv Saidha; Peter A. Calabresi; Jerry L. Prince (Image Processing, 2020)

Adversarial domain adaptation for multi-device retinal OCT segmentation. - Yufan He; Aaron Carass; Yihao Liu 003; Shiv Saidha; Peter A. Calabresi; Jerry L. Prince (Image Processing, 2020)

Variational intensity cross channel encoder for unsupervised vessel segmentation on OCT angiography. - Yihao Liu 003; Lianrui Zuo; Aaron Carass; Yufan He; Angeliki Filippatou; Sharon D. Solomon; Shiv Saidha; Peter A. Calabresi; Jerry L. Prince (Image Processing, 2020)

Finding novelty with uncertainty. - Jacob C. Reinhold; Yufan He; Shizhong Han; Yunqiang Chen; Dashan Gao 001; Junghoon Lee; Jerry L. Prince; Aaron Carass (Image Processing, 2020)

Automatic cerebellum anatomical parcellation using U-Net with locally constrained optimization. - Shuo Han 001; Aaron Carass; Yufan He; Jerry L. Prince (NeuroImage, 2020)

DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation. - Yufan He; Dong Yang 005; Holger Roth; Can Zhao 001; Daguang Xu (CVPR, 2021)

Information-Based Disentangled Representation Learning for Unsupervised MR Harmonization. - Lianrui Zuo; Blake E. Dewey; Aaron Carass; Yihao Liu 003; Yufan He; Peter A. Calabresi; Jerry L. Prince (IPMI, 2021)

ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration. - Junyu Chen 002; Yufan He; Eric C. Frey; Ye Li; Yong Du 002 (CoRR, 2021)

Structured layer surface segmentation for retina OCT using fully convolutional regression networks. - Yufan He; Aaron Carass; Yihao Liu 003; Bruno M. Jedynak; Sharon D. Solomon; Shiv Saidha; Peter A. Calabresi; Jerry L. Prince (Medical Image Anal., 2021)

Autoencoder based self-supervised test-time adaptation for medical image analysis. - Yufan He; Aaron Carass; Lianrui Zuo; Blake E. Dewey; Jerry L. Prince (Medical Image Anal., 2021)

Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory. - Lianrui Zuo; Blake E. Dewey; Yihao Liu 003; Yufan He; Scott D. Newsome; Ellen M. Mowry; Susan M. Resnick; Jerry L. Prince; Aaron Carass (NeuroImage, 2021)

HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet. - Cheng Peng 008; Andriy Myronenko; Ali Hatamizadeh; Vishwesh Nath; Md Mahfuzur Rahman Siddiquee; Yufan He; Daguang Xu; Rama Chellappa; Dong Yang 005 (CVPR, 2022)

Efficient Population Based Hyperparameter Scheduling for Medical Image Segmentation. - Yufan He; Dong Yang 005; Andriy Myronenko; Daguang Xu (MICCAI (5), 2022)

Automated Head and Neck Tumor Segmentation from 3D PET/CT HECKTOR 2022 Challenge Report. - Andriy Myronenko; Md Mahfuzur Rahman Siddiquee; Dong Yang 005; Yufan He; Daguang Xu (HECKTOR@MICCAI, 2022)

Automated 3D Segmentation of Renal Structures for Renal Cancer Treatment. - Md Mahfuzur Rahman Siddiquee; Dong Yang 005; Yufan He; Daguang Xu; Andriy Myronenko (CuRIOUS/KiPA/MELA@MICCAI, 2022)

Automated ischemic stroke lesion segmentation from 3D MRI. - Md Mahfuzur Rahman Siddiquee; Dong Yang 005; Yufan He; Daguang Xu; Andriy Myronenko (CoRR, 2022)

Automated segmentation of intracranial hemorrhages from 3D CT. - Md Mahfuzur Rahman Siddiquee; Dong Yang 005; Yufan He; Daguang Xu; Andriy Myronenko (CoRR, 2022)

Automated head and neck tumor segmentation from 3D PET/CT. - Andriy Myronenko; Md Mahfuzur Rahman Siddiquee; Dong Yang 005; Yufan He; Daguang Xu (CoRR, 2022)

MONAI: An open-source framework for deep learning in healthcare. - M. Jorge Cardoso; Wenqi Li 001; Richard Brown 004; Nic Ma; Eric Kerfoot; Yiheng Wang; Benjamin Murray; Andriy Myronenko; Can Zhao 001; Dong Yang 005; Vishwesh Nath; Yufan He; et al. (CoRR, 2022)

TransMorph: Transformer for unsupervised medical image registration. - Junyu Chen 002; Eric C. Frey; Yufan He; William Paul Segars; Ye Li; Yong Du 002 (Medical Image Anal., 2022)

Disentangled Representation Learning for OCTA Vessel Segmentation With Limited Training Data. - Yihao Liu 003; Aaron Carass; Lianrui Zuo; Yufan He; Shuo Han 001; Lorenzo Gregori; Sean Murray; Rohit Mishra; Jianqin Lei; Peter A. Calabresi; Shiv Saidha; Jerry L. Prince (IEEE Trans. Medical Imaging, 2022)

SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation. - Yufan He; Vishwesh Nath; Dong Yang 005; Yucheng Tang; Andriy Myronenko; Daguang Xu (MICCAI (4), 2023)

Aorta Segmentation from 3D CT in MICCAI SEG.A. 2023 Challenge. - Andriy Myronenko; Dong Yang 005; Yufan He; Daguang Xu (SEG.A@MICCAI, 2023)

Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023 Challenge. - Andriy Myronenko; Dong Yang 005; Yufan He; Daguang Xu (KiTS@MICCAI, 2023)

DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation. - Dong Yang 005; Ziyue Xu 001; Yufan He; Vishwesh Nath; Wenqi Li 001; Andriy Myronenko; Ali Hatamizadeh; Can Zhao 001; Holger R. Roth; Daguang Xu (MICCAI (3), 2023)

Deformable Cross-Attention Transformer for Medical Image Registration. - Junyu Chen 002; Yihao Liu 003; Yufan He; Yong Du 002 (MLMI@MICCAI (1), 2023)

Spatially-varying Regularization with Conditional Transformer for Unsupervised Image Registration. - Junyu Chen 002; Yihao Liu 003; Yufan He; Yong Du 002 (CoRR, 2023)

Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training. - Jeya Maria Jose Valanarasu; Yucheng Tang; Dong Yang 005; Ziyue Xu 001; Can Zhao 001; Wenqi Li 001; Vishal M. Patel; Bennett Allan Landman; Daguang Xu; Yufan He; Vishwesh Nath (MIDL, 2024)

IR-FRestormer: Iterative Refinement with Fourier-Based Restormer for Accelerated MRI Reconstruction. - Mohammad Zalbagi Darestani; Vishwesh Nath; Wenqi Li 001; Yufan He; Holger R. Roth; Ziyue Xu 001; Daguang Xu; Reinhard Heckel; Can Zhao 001 (WACV, 2024)

CorrFormer: Context-aware tracking with cross-correlation and transformer. - Jian-Ming Zhang 003; Yufan He; Wentao Chen; Li-Dan Kuang; Bin Zheng (Comput. Electr. Eng., 2024)

VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography. - Yufan He; Pengfei Guo; Yucheng Tang; Andriy Myronenko; Vishwesh Nath; Ziyue Xu 001; Dong Yang 005; Can Zhao 001; Benjamin Simon; Mason Belue; Stephanie A. Harmon; Baris Turkbey; et al. (CoRR, 2024)

HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization. - Yucheng Tang; Yufan He; Vishwesh Nath; Pengfei Guo; Ruining Deng; Tianyuan Yao; Quan Liu 002; Can Cui 006; Mengmeng Yin; Ziyue Xu 001; Holger Roth; Daguang Xu; et al. (CoRR, 2024)

A Short Review and Evaluation of SAM2's Performance in 3D CT Image Segmentation. - Yufan He; Pengfei Guo; Yucheng Tang; Andriy Myronenko; Vishwesh Nath; Ziyue Xu 001; Dong Yang 005; Can Zhao 001; Daguang Xu; Wenqi Li 001 (CoRR, 2024)

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. - Vishwesh Nath; Wenqi Li 001; Dong Yang 005; Andriy Myronenko; Mingxin Zheng; Yao Lu 006; Zhijian Liu; Hongxu Yin; Yee Man Law; Yucheng Tang; Pengfei Guo; Can Zhao 001; et al. (CoRR, 2024)

Unsupervised learning of spatially varying regularization for diffeomorphic image registration. - Junyu Chen 002; Shuwen Wei; Yihao Liu 003; Zhangxing Bian; Yufan He; Aaron Carass; Harrison X. Bai; Yong Du 002 (CoRR, 2024)

A novel kinematic modeling method for (1+n) type parallel mechanism: applied to obtain the position and posture space simultaneously. - Yufan He; Hairong Fang; Zhengxian Jin; Chong Zhang (Robotica, 2024)

SiamS3C: spatial-channel cross-correlation for visual tracking with centerness-guided regression. - Jianming Zhang 003; Wentao Chen; Yufan He; Li-Dan Kuang; Arun Kumar Sangaiah (Multim. Syst., 2024)

VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging. - Yufan He; Pengfei Guo; Yucheng Tang; Andriy Myronenko; Vishwesh Nath; Ziyue Xu 001; Dong Yang 005; Can Zhao 001; Benjamin Simon; Mason Belue; Stephanie A. Harmon; Baris Turkbey; et al. (CVPR, 2025)

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. - Vishwesh Nath; Wenqi Li 001; Dong Yang 005; Andriy Myronenko; Mingxin Zheng; Yao Lu 006; Zhijian Liu; Hongxu Yin; Yee Man Law; Yucheng Tang; Pengfei Guo; Can Zhao 001; et al. (CVPR, 2025)

Performance analysis and multiobjective structural optimization of 4RRR pure rotation parallel mechanism. - Yufan He; Hairang Fang; Haoqian Wang; Zhengxian Jin (Robotica, 2025)

Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model. - Pengfei Guo; Can Zhao 001; Dong Yang 005; Yufan He; Vishwesh Nath; Ziyue Xu 001; Pedro R. A. S. Bassi; Zongwei Zhou; Benjamin Simon; Stephanie Anne Harmon; Baris Turkbey; Daguang Xu (CoRR, 2025)