Jiancong Wang
Orcid: 0000-0002-7079-8746
According to our database1,
Jiancong Wang
authored at least 28 papers
between 2017 and 2023.
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Bibliography
2023
Deep label fusion: A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation.
Medical Image Anal., 2023
Regional Deep Atrophy: a Self-Supervised Learning Method to Automatically Identify Regions Associated With Alzheimer's Disease Progression From Longitudinal MRI.
CoRR, 2023
A fast and lightweight detection algorithm for passion fruit pests based on improved YOLOv5.
Comput. Electron. Agric., 2023
2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
DeepAtrophy: Teaching a neural network to detect progressive changes in longitudinal MRI of the hippocampal region in Alzheimer's disease.
NeuroImage, 2021
Proceedings of the Exploration of Novel Intelligent Optimization Algorithms, 2021
Deep Label Fusion: A 3D End-To-End Hybrid Multi-atlas Segmentation and Deep Learning Pipeline.
Proceedings of the Information Processing in Medical Imaging, 2021
2020
DeepAtrophy: Teaching a Neural Network to Differentiate Progressive Changes from Noise on Longitudinal MRI in Alzheimer's Disease.
CoRR, 2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Interpretable Identification of Interstitial Lung Disease (ILD) Associated Findings from CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
3D Mapping of TAU Neurofibrillary Tangle Pathology in the Human Medial Temporal Lobe.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Automated Meshing of Anatomical Shapes for Deformable Medial Modeling: Application to the Placenta in 3D Ultrasound.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
ACM Trans. Knowl. Discov. Data, 2019
Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network.
Frontiers Comput. Neurosci., 2019
Improving Multi-atlas Segmentation by Convolutional Neural Network Based Patch Error Estimation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Information Processing in Medical Imaging, 2019
2018
Characterizing the human hippocampus in aging and Alzheimer's disease using a computational atlas derived from ex vivo MRI and histology.
Proc. Natl. Acad. Sci. USA, 2018
Characterizing Anatomical Variability and Alzheimer's Disease Related Cortical Thinning in the Medial Temporal Lobe Using Graph-Based Groupwise Registration and Point Set Geodesic Shooting.
Proceedings of the Shape in Medical Imaging, 2018
Combining Deep Learning and Multi-atlas Label Fusion for Automated Placenta Segmentation from 3DUS.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018
Transfer Learning Approach to Predict Biopsy-Confirmed Malignancy of Lung Nodules from Imaging Data: A Pilot Study.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018
2017
Automated Segmentation of the Choroid in EDI-OCT Images with Retinal Pathology Using Convolution Neural Networks.
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017