Dewei Hu

According to our database, Dewei Hu authored at least 23 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Novel OCT mosaicking pipeline with Feature- and Pixel-based registration.

Jiacheng Wang, Hao Li, Dewei Hu, Yuankai K. Tao, Ipek Oguz

CoRR, 2023

Assessing Test-time Variability for Interactive 3D Medical Image Segmentation with Diverse Point Prompts.

Hao Li, Han Liu, Dewei Hu, Jiacheng Wang, Ipek Oguz

CoRR, 2023

Promise: Prompt-driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models.

Hao Li, Han Liu, Dewei Hu, Jiacheng Wang, 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

CATS v2: Hybrid encoders for robust medical segmentation.

Hao Li, Han Liu, Dewei Hu, Xing Yao, Jiacheng Wang, Ipek Oguz

CoRR, 2023

VesselMorph: Domain-Generalized Retinal Vessel Segmentation via Shape-Aware Representation.

Dewei Hu, Hao Li, Han Liu, Xing Yao, Jiacheng Wang, Ipek Oguz

CoRR, 2023

SSL^2: Self-Supervised Learning meets Semi-Supervised Learning: Multiple Sclerosis Segmentation in 7T-MRI from large-scale 3T-MRI.

Jiacheng Wang, Hao Li, Han Liu, Dewei Hu, Daiwei Lu, Keejin Yoon, Kelsey Barter, Francesca Bagnato, Ipek Oguz

CoRR, 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, Zachary A. Stoebner, Hans J. Johnson, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Deep angiogram: trivializing retinal vessel segmentation.

Dewei Hu, Xing Yao, Jiacheng Wang, Yuankai K. Tao, Ipek Oguz

Proceedings of the Medical Imaging 2023: Image Processing, 2023

SSL2: self-supervised learning meets semi-supervised learning: multiple sclerosis segmentation in 7T-MRI from large-scale 3T-MRI.

Jiacheng Wang, Hao Li, Han Liu, Dewei Hu, Daiwei Lu, Keejin Yoon, Kelsey Barter, Francesca Bagnato, Ipek Oguz

Proceedings of the Medical Imaging 2023: Image Processing, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

MAP: Domain Generalization via Meta-Learning on Anatomy-Consistent Pseudo-Modalities.

Dewei Hu, Hao Li, Han Liu, Xing Yao, Jiacheng Wang, Ipek Oguz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

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, Dewei Hu, Can Cui, Ho Hin Lee, Ipek Oguz

CoRR, 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

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Unsupervised denoising of retinal OCT with diffusion probabilistic model.

Dewei Hu, Yuankai K. Tao, Ipek Oguz

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Domain Generalization for Retinal Vessel Segmentation with Vector Field Transformer.

Dewei Hu, Hao Li, Han Liu, Ipek Oguz

Proceedings of the International Conference on Medical Imaging with Deep Learning, 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, Dewei Hu, Can Cui, Ho Hin Lee, Huahong Zhang, Ipek Oguz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Self-supervised Test-Time Adaptation for Medical Image Segmentation.

Hao Li, Han Liu, Dewei Hu, Jiacheng Wang, Hans J. Johnson, Omar Sherbini, Francesco Gavazzi, Russell D'Aiello, Adeline Vanderver, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz

Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

Cats: Complementary CNN and Transformer Encoders for Segmentation.

Hao Li, Dewei Hu, Han Liu, Jiacheng Wang, Ipek Oguz

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

Generalizing MRI Subcortical Segmentation to Neurodegeneration.

Hao Li, Huahong Zhang, Dewei Hu, Hans J. Johnson, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

Retinal OCT Denoising with Pseudo-Multimodal Fusion Network.

Dewei Hu, Joseph D. Malone, Yigit Atay, Yuankai K. Tao, Ipek Oguz

Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020