Fan Wang
Affiliations:- Xi'an Jiaotong University, School of Life Science and Technology, Shaanxi, China
- University of North Carolina at Chapel Hill, Department of Radiology, Biomedical Research Imaging Center, BRIC, NC, USA
According to our database1,
Fan Wang
authored at least 31 papers
between 2018 and 2025.
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Bibliography
2025
DIReCT: Domain-Informed Rectified Flow for Controllable Brain MRI to PET Translation.
Proceedings of the Information Processing in Medical Imaging, 2025
2024
Large-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learning.
CoRR, 2024
Efficient Cortical Surface Parcellation via Full-Band Diffusion Learning at Individual Space.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Weakly Supervised Tooth Instance Segmentation on 3D Dental Models with Multi-label Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Towards Graph Neural Networks with Domain-Generalizable Explainability for fMRI-Based Brain Disorder Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Controllable Counterfactual Generation for Interpretable Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Dynamic Cross-Task Representation Adaptation for Clinical Targets Co-Segmentation in CT Image-Guided Post-Prostatectomy Radiotherapy.
IEEE Trans. Medical Imaging, April, 2023
BloodNet: An attention-based deep network for accurate, efficient, and costless bloodstain time since deposition inference.
Briefings Bioinform., January, 2023
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-supervised Contrastive Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans.
IEEE Trans. Medical Imaging, 2022
2021
IEEE Trans. Medical Imaging, 2021
Medical Image Anal., 2021
2020
Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners.
IEEE Trans. Medical Imaging, 2020
Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages.
IEEE Trans. Medical Imaging, 2020
Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.
IEEE Trans. Medical Imaging, 2019
Adaptive kernelized evidential clustering for automatic 3D tumor segmentation in FDG-PET images.
Multim. Syst., 2019
Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Charting Development-Based Joint Parcellation Maps Of Human and Macaque Brains During Infancy.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface in infants.
Medical Image Anal., 2018
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018