Picture for Jianpeng Zhang

Jianpeng Zhang

UniReg: Foundation Model for Controllable Medical Image Registration

Add code
Mar 17, 2025
Viaarxiv icon

Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding

Add code
Jan 24, 2025
Viaarxiv icon

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

Add code
Nov 06, 2024
Figure 1 for Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
Figure 2 for Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
Figure 3 for Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
Figure 4 for Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
Viaarxiv icon

MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model

Add code
Oct 08, 2024
Viaarxiv icon

Rapid and Accurate Diagnosis of Acute Aortic Syndrome using Non-contrast CT: A Large-scale, Retrospective, Multi-center and AI-based Study

Add code
Jun 25, 2024
Figure 1 for Rapid and Accurate Diagnosis of Acute Aortic Syndrome using Non-contrast CT: A Large-scale, Retrospective, Multi-center and AI-based Study
Figure 2 for Rapid and Accurate Diagnosis of Acute Aortic Syndrome using Non-contrast CT: A Large-scale, Retrospective, Multi-center and AI-based Study
Figure 3 for Rapid and Accurate Diagnosis of Acute Aortic Syndrome using Non-contrast CT: A Large-scale, Retrospective, Multi-center and AI-based Study
Figure 4 for Rapid and Accurate Diagnosis of Acute Aortic Syndrome using Non-contrast CT: A Large-scale, Retrospective, Multi-center and AI-based Study
Viaarxiv icon

CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios

Add code
Apr 29, 2024
Figure 1 for CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios
Figure 2 for CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios
Figure 3 for CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios
Figure 4 for CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios
Viaarxiv icon

Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models

Add code
Apr 07, 2024
Figure 1 for Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models
Figure 2 for Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models
Figure 3 for Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models
Figure 4 for Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models
Viaarxiv icon

Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration

Add code
Feb 29, 2024
Figure 1 for Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration
Figure 2 for Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration
Figure 3 for Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration
Figure 4 for Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration
Viaarxiv icon

Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning

Add code
Nov 30, 2023
Viaarxiv icon

Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists

Add code
Jul 20, 2023
Figure 1 for Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists
Figure 2 for Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists
Figure 3 for Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists
Figure 4 for Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists
Viaarxiv icon