Retinal OCT Denoising with Pseudo-Multimodal Fusion Network. - Dewei Hu; Joseph D. Malone; Yigit Atay; Yuankai K. Tao; Ipek Oguz (OMIA@MICCAI, 2020)

Generalizing MRI Subcortical Segmentation to Neurodegeneration. - Hao Li; Huahong Zhang; Dewei Hu; Hans J. Johnson; Jeffrey D. Long; Jane S. Paulsen; Ipek Oguz (MLCN/RNO-AI@MICCAI, 2020)

Unsupervised Cross-modality Domain Adaptation for Segmenting Vestibular Schwannoma and Cochlea with Data Augmentation and Model Ensemble. - Hao Li; Dewei Hu; Qibang Zhu; Kathleen E. Larson; Huahong Zhang; Ipek Oguz (BrainLes@MICCAI (2), 2021)

LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation. - Dewei Hu; Can Cui; Hao Li; Kathleen E. Larson; Yuankai K. Tao; Ipek Oguz (MICCAI (1), 2021)

Cats: Complementary CNN and Transformer Encoders for Segmentation. - Hao Li; Dewei Hu; Han Liu; Jiacheng Wang 007; Ipek Oguz (ISBI, 2022)

Self-supervised Test-Time Adaptation for Medical Image Segmentation. - Hao Li; Han Liu; Dewei Hu; Jiacheng Wang 007; Hans J. Johnson; Omar Sherbini; Francesco Gavazzi; Russell D'Aiello; Adeline Vanderver; Jeffrey D. Long; Jane S. Paulsen; Ipek Oguz (MLCN@MICCAI, 2022)

ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities. - Han Liu; Yubo Fan; Hao Li; Jiacheng Wang 007; Dewei Hu; Can Cui; Ho Hin Lee; Huahong Zhang; Ipek Oguz (MICCAI (5), 2022)

Domain Generalization for Retinal Vessel Segmentation with Vector Field Transformer. - Dewei Hu; Hao Li; Han Liu; Ipek Oguz (MIDL, 2022)

Unsupervised denoising of retinal OCT with diffusion probabilistic model. - Dewei Hu; Yuankai K. Tao; Ipek Oguz (Image Processing, 2022)

Human brain extraction with deep learning. - Hao Li; Qibang Zhu; Dewei Hu; Manasvi R. Gunnala; Hans J. Johnson; Omar Sherbini; Francesco Gavazzi; Russell D'Aiello; Adeline Vanderver; Jeffrey D. Long; Jane S. Paulsen; Ipek Oguz (Image Processing, 2022)

ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities. - Han Liu; Yubo Fan; Hao Li; Jiacheng Wang 007; Dewei Hu; Can Cui; Ho Hin Lee; Ipek Oguz (CoRR, 2022)

MAP: Domain Generalization via Meta-Learning on Anatomy-Consistent Pseudo-Modalities. - Dewei Hu; Hao Li; Han Liu; Xing Yao; Jiacheng Wang 007; Ipek Oguz (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

COLosSAL: A Benchmark for Cold-Start Active Learning for 3D Medical Image Segmentation. - Han Liu; Hao Li; Xing Yao; Yubo Fan; Dewei Hu; Benoit M. Dawant; Vishwesh Nath; Zhoubing Xu; Ipek Oguz (MICCAI (2), 2023)

SSL2: self-supervised learning meets semi-supervised learning: multiple sclerosis segmentation in 7T-MRI from large-scale 3T-MRI. - Jiacheng Wang 007; Hao Li; Han Liu; Dewei Hu; Daiwei Lu; Keejin Yoon; Kelsey Barter; Francesca Bagnato; Ipek Oguz (Image Processing, 2023)

Deep angiogram: trivializing retinal vessel segmentation. - Dewei Hu; Xing Yao; Jiacheng Wang 007; Yuankai K. Tao; Ipek Oguz (Image Processing, 2023)

Novel application of the attention mechanism on medical image harmonization. - Xing Yao; Ange Lou; Hao Li; Dewei Hu; Daiwei Lu; Han Liu; Jiacheng Wang 007; Zachary A. Stoebner; Hans J. Johnson; Jeffrey D. Long; Jane S. Paulsen; Ipek Oguz (Image Processing, 2023)

SSL^2: Self-Supervised Learning meets Semi-Supervised Learning: Multiple Sclerosis Segmentation in 7T-MRI from large-scale 3T-MRI. - Jiacheng Wang 007; Hao Li; Han Liu; Dewei Hu; Daiwei Lu; Keejin Yoon; Kelsey Barter; Francesca Bagnato; Ipek Oguz (CoRR, 2023)

VesselMorph: Domain-Generalized Retinal Vessel Segmentation via Shape-Aware Representation. - Dewei Hu; Hao Li; Han Liu; Xing Yao; Jiacheng Wang 007; Ipek Oguz (CoRR, 2023)

CATS v2: Hybrid encoders for robust medical segmentation. - Hao Li; Han Liu; Dewei Hu; Xing Yao; Jiacheng Wang 007; Ipek Oguz (CoRR, 2023)

False Negative/Positive Control for SAM on Noisy Medical Images. - Xing Yao; Han Liu; Dewei Hu; Daiwei Lu; Ange Lou; Hao Li; Ruining Deng; Gabriel Arenas; Baris U. Oguz; Nadav Schwartz; Brett C. Byram; Ipek Oguz (CoRR, 2023)

Generative Multiplane Image (GMPI): Text to Volumetric Representation. - Dewei Hu; Dae Yeol Lee; Guan-Ming Su (IEEECONF, 2024)

Promise: Prompt-Driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models. - Hao Li; Han Liu; Dewei Hu; Jiacheng Wang 007; Ipek Oguz (ISBI, 2024)

Assessing Test-Time Variability for Interactive 3D Medical Image Segmentation with Diverse Point Prompts. - Hao Li; Han Liu; Dewei Hu; Jiacheng Wang 007; Ipek Oguz (ISBI, 2024)

Novel OCT Mosaicking Pipeline with Feature-And Pixel-Based Registration. - Jiacheng Wang 007; Hao Li; Dewei Hu; Yuankai K. Tao; Ipek Oguz (ISBI, 2024)

AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel Segmentation. - Dewei Hu; Hao Li; Han Liu; Jiacheng Wang 007; Xing Yao; Daiwei Lu; Ipek Oguz (SASHIMI@MICCAI, 2024)

PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts. - Hao Li; Han Liu; Dewei Hu; Jiacheng Wang 007; Ipek Oguz (MICCAI (3), 2024)

Retinal IPA: Iterative KeyPoints Alignment for Multimodal Retinal Imaging. - Jiacheng Wang 007; Hao Li; Dewei Hu; Rui Xu; Xing Yao; Yuankai K. Tao; Ipek Oguz (MOVI@MICCAI, 2024)

SynStitch: a Self-Supervised Learning Network for Ultrasound Image Stitching Using Synthetic Training Pairs and Indirect Supervision. - Xing Yao; Runxuan Yu; Dewei Hu; Hao Yang; Ange Lou; Jiacheng Wang 007; Daiwei Lu; Gabriel Arenas; Baris U. Oguz; Alison M. Pouch; Nadav Schwartz; Brett C. Byram; et al. (CoRR, 2024)

Domain generalization for retinal vessel segmentation via Hessian-based vector field. - Dewei Hu; Hao Li 108; Han Liu; Ipek Oguz (Medical Image Anal., 2024)

SynStitch: A Self-Supervised Learning Network for Ultrasound Image Stitching Using Synthetic Training Pairs and Indirect Supervision. - Xing Yao; Runxuan Yu; Dewei Hu; Hao Yang; Ange Lou; Jiacheng Wang; Daiwei Lu; Gabriel Arenas; Baris U. Oguz; Alison M. Pouch; Nadav Schwartz; Brett C. Byram; et al. (ISBI, 2025)