Jiacheng Wang

According to our database, Jiacheng Wang authored at least 16 papers between 2022 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

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

Self-Supervised CSF Inpainting with Synthetic Atrophy for Improved Accuracy Validation of Cortical Surface Analyses.

Jiacheng Wang, Kathleen E. Larson, 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

Self-Supervised CSF Inpainting for Improved Accuracy Validation of Cortical Surface Analyses.

Jiacheng Wang, Kathleen E. Larson, Ipek Oguz

Proceedings of the Medical Imaging with Deep Learning, 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

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