Jiacheng Wang

Affiliations:
  • Vanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, TN, USA


According to our database1, Jiacheng Wang authored at least 23 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2022
2023
2024
0
5
10
3
4
1
7
5
3

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
SynStitch: a Self-Supervised Learning Network for Ultrasound Image Stitching Using Synthetic Training Pairs and Indirect Supervision.
CoRR, 2024

PRISM Lite: A lightweight model for interactive 3D placenta segmentation in ultrasound.
CoRR, 2024

Predicting fluorescent labels in label-free microscopy images with pix2pix and adaptive loss in Light My Cells challenge.
CoRR, 2024

Retinal IPA: Iterative KeyPoints Alignment for Multimodal Retinal Imaging.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2024

Interactive Segmentation Model for Placenta Segmentation from 3D Ultrasound Images.
Proceedings of the Simplifying Medical Ultrasound - 5th International Workshop, 2024

PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel Segmentation.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2024

Novel OCT Mosaicking Pipeline with Feature-And Pixel-Based Registration.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Assessing Test-Time Variability for Interactive 3D Medical Image Segmentation with Diverse Point Prompts.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Promise: Prompt-Driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
CATS v2: Hybrid encoders for robust medical segmentation.
CoRR, 2023

VesselMorph: Domain-Generalized Retinal Vessel Segmentation via Shape-Aware Representation.
CoRR, 2023

Self-Supervised CSF Inpainting with Synthetic Atrophy for Improved Accuracy Validation of Cortical Surface Analyses.
CoRR, 2023

SSL^2: Self-Supervised Learning meets Semi-Supervised Learning: Multiple Sclerosis Segmentation in 7T-MRI from large-scale 3T-MRI.
CoRR, 2023

Novel application of the attention mechanism on medical image harmonization.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Deep angiogram: trivializing retinal vessel segmentation.
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.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Self-Supervised CSF Inpainting for Improved Accuracy Validation of Cortical Surface Analyses.
Proceedings of the Medical Imaging with Deep Learning, 2023

MAP: Domain Generalization via Meta-Learning on Anatomy-Consistent Pseudo-Modalities.
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.
CoRR, 2022

ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Self-supervised Test-Time Adaptation for Medical Image Segmentation.
Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

Cats: Complementary CNN and Transformer Encoders for Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022


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