Zhifan Jiang
Orcid: 0009-0005-0921-5993
According to our database1,
Zhifan Jiang
authored at least 28 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis.
CoRR, June, 2025
Unifying invariant and variant features for graph out-of-distribution via probability of necessity and sufficiency.
Neural Networks, 2025
Proceedings of the ACM on Web Conference 2025, 2025
Controllable Latent Diffusion-Based 3D Brain Tumor Segmentation: With Synthetic Label Generation and Detailed Variance Map.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
KALM: Knowledge-Driven Active Learning for Medical Image Segmentation Using Localized Similarity.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Adult Glioma Segmentation in Sub-Saharan Africa using Transfer Learning on Stratified Finetuning Data.
CoRR, 2024
Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation.
CoRR, 2024
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023.
CoRR, 2024
D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictions.
CoRR, 2024
CoRR, 2024
The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
CoRR, 2024
Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency.
CoRR, 2024
Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
D-Rax: Domain-Specific Radiologic Assistant Leveraging Multi-modal Data and eXpert Model Predictions.
Proceedings of the Foundation Models for General Medical AI, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Enhancing Generalizability in Brain Tumor Segmentation: Model Ensemble with Adaptive Post-Processing.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa).
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.
CoRR, 2023
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.
CoRR, 2023
Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023
From adult to pediatric: deep learning-based automatic segmentation of rare pediatric brain tumors.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Automatic Segmentation of Rare Pediatric Brain Tumors Using Knowledge Transfer From Adult Data.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Automatic Visual Acuity Loss Prediction in Children with Optic Pathway Gliomas using Magnetic Resonance Imaging.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2021
Brain Tumor Segmentation in Multi-parametric Magnetic Resonance Imaging Using Model Ensembling and Super-resolution.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021