Rongzhao Zhang

Orcid: 0000-0001-8103-5210

According to our database1, Rongzhao Zhang authored at least 14 papers between 2016 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification.
CoRR, July, 2025

Benchmarking Ethical and Safety Risks of Healthcare LLMs in China-Toward Systemic Governance under Healthy China 2030.
CoRR, May, 2025

Enhancing the hydraulic engineering circular-18 pier scour equation with knowledge-guided symbolic regression and field data augmentation.
Eng. Appl. Artif. Intell., 2025

Towards All-in-One Medical Image Re-Identification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
EfficientQ: An efficient and accurate post-training neural network quantization method for medical image segmentation.
Medical Image Anal., 2024

GuideGen: A Text-guided Framework for Joint CT Volume and Anatomical structure Generation.
CoRR, 2024

CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical Knowledge.
CoRR, 2023

2021
MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation.
Medical Image Anal., 2021

2019
A Fine-Grain Error Map Prediction and Segmentation Quality Assessment Framework for Whole-Heart Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Automatic Segmentation of Acute Ischemic Stroke From DWI Using 3-D Fully Convolutional DenseNets.
IEEE Trans. Medical Imaging, 2018

A Unified Mammogram Analysis Method via Hybrid Deep Supervision.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

2016
Automatic Whole-Heart Segmentation in Congenital Heart Disease Using Deeply-Supervised 3D FCN.
Proceedings of the Reconstruction, Segmentation, and Analysis of Medical Images, 2016


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