| Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning | 0 | 0.34 | 2022 |
| Predicting brain structural network using functional connectivity | 0 | 0.34 | 2022 |
| Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans | 0 | 0.34 | 2022 |
| Spherical Transformer for Quality Assessment of Pediatric Cortical Surfaces | 0 | 0.34 | 2022 |
| A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort | 1 | 0.35 | 2022 |
| A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling | 0 | 0.34 | 2022 |
| Maximizing sum of coupled traces with applications | 0 | 0.34 | 2022 |
| Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI | 0 | 0.34 | 2022 |
| Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images | 0 | 0.34 | 2022 |
| S3Reg: Superfast Spherical Surface Registration Based on Deep Learning | 1 | 0.35 | 2021 |
| Diverse data augmentation for learning image segmentation with cross-modality annotations | 2 | 0.37 | 2021 |
| Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases Based on Deep Learning | 0 | 0.34 | 2021 |
| Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction. | 0 | 0.34 | 2021 |
| ABCnet: Adversarial bias correction network for infant brain MR images | 0 | 0.34 | 2021 |
| Learning Transferable 3D-CNN for MRI-Based Brain Disorder Classification from Scratch - An Empirical Study. | 0 | 0.34 | 2021 |
| Automatic Brain Extraction From 3d Fetal Mr Image With Deep Learning-Based Multi-Step Framework | 1 | 0.36 | 2021 |
| DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques | 2 | 0.38 | 2021 |
| Harmonized Neonatal Brain Mr Image Segmentation Model For Cross-Site Datasets | 0 | 0.34 | 2021 |
| The maturation and cognitive relevance of structural brain network organization from early infancy to childhood | 1 | 0.35 | 2021 |
| Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks | 0 | 0.34 | 2021 |
| Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction | 3 | 0.39 | 2021 |
| Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization. | 1 | 0.36 | 2020 |
| Informative Feature-Guided Siamese Network for Early Diagnosis of Autism. | 0 | 0.34 | 2020 |
| Anatomy-Guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI. | 0 | 0.34 | 2020 |
| Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization. | 0 | 0.34 | 2020 |
| Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces from 3D Intraoral Scanners. | 3 | 0.39 | 2020 |
| RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields. | 2 | 0.42 | 2020 |
| Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network. | 0 | 0.34 | 2020 |
| Unsupervised Learning for Spherical Surface Registration. | 0 | 0.34 | 2020 |
| Adaptive-Guided-Coupling-Probability Level Set for Retinal Layer Segmentation | 0 | 0.34 | 2020 |
| Semi-supervised Transfer Learning for Infant Cerebellum Tissue Segmentation. | 3 | 0.39 | 2020 |
| Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties | 0 | 0.34 | 2019 |
| Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network. | 3 | 0.40 | 2019 |
| Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis. | 0 | 0.34 | 2019 |
| Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation. | 0 | 0.34 | 2019 |
| Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects | 0 | 0.34 | 2019 |
| The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development. | 20 | 0.69 | 2019 |
| 3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation. | 19 | 0.66 | 2019 |
| Computational neuroanatomy of baby brains: A review. | 8 | 0.47 | 2019 |
| Surface-constrained volumetric registration for the early developing brain. | 0 | 0.34 | 2019 |
| Longitudinally Guided Super-Resolution of Neonatal Brain Magnetic Resonance Images. | 6 | 0.44 | 2019 |
| Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain | 0 | 0.34 | 2019 |
| MeshSNet: Deep Multi-scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces. | 3 | 0.39 | 2019 |
| STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation. | 10 | 0.46 | 2019 |
| Cortical Foldingprints for Infant Identification | 0 | 0.34 | 2019 |
| Hierarchical Vertex Regression-Based Segmentation of Head and Neck CT Images for Radiotherapy Planning. | 6 | 0.49 | 2018 |
| Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis. | 4 | 0.40 | 2018 |
| Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network. | 0 | 0.34 | 2018 |
| Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks. | 0 | 0.34 | 2018 |
| Construction Of Spatiotemporal Infant Cortical Surface Atlas Of Rhesus Macaque | 0 | 0.34 | 2018 |
