Hannah H. Deng

Orcid: 0000-0001-9363-1722

Affiliations:
  • Houston Methodist Research Institute, USA


According to our database1, Hannah H. Deng authored at least 37 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Online presence:

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Bibliography

2023
Federated Multi-Organ Segmentation With Inconsistent Labels.
IEEE Trans. Medical Imaging, October, 2023

Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning.
IEEE Trans. Medical Imaging, February, 2023

Federated Cross Learning for Medical Image Segmentation.
Proceedings of the Medical Imaging with Deep Learning, 2023

Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Soft-Tissue Driven Craniomaxillofacial Surgical Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning.
IEEE Trans. Medical Imaging, 2022

Dual Adversarial Attention Mechanism for Unsupervised Domain Adaptive Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022

Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning.
Int. J. Comput. Assist. Radiol. Surg., 2022

DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deep Learning-Based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2021

Fast and Accurate Craniomaxillofacial Landmark Detection via 3D Faster R-CNN.
IEEE Trans. Medical Imaging, 2021

Estimating Reference Bony Shape Models for Orthognathic Surgical Planning Using 3D Point-Cloud Deep Learning.
IEEE J. Biomed. Health Informatics, 2021

Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects.
IEEE Trans. Biomed. Eng., 2021

A novel incremental simulation of facial changes following orthognathic surgery using FEM with realistic lip sliding effect.
Medical Image Anal., 2021

Diverse data augmentation for learning image segmentation with cross-modality annotations.
Medical Image Anal., 2021

A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Skull Segmentation from CBCT Images via Voxel-Based Rendering.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

DLLNet: An Attention-Based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures.
IEEE Trans. Medical Imaging, 2020

An automatic approach to establish clinically desired final dental occlusion for one-piece maxillary orthognathic surgery.
Int. J. Comput. Assist. Radiol. Surg., 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

Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Online Routing and Scheduling With Capacity Redundancy for Timely Delivery Guarantees in Multihop Networks.
IEEE/ACM Trans. Netw., 2019

Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

A New Approach of Predicting Facial Changes Following Orthognathic Surgery Using Realistic Lip Sliding Effect.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

An Automatic Approach to Reestablish Final Dental Occlusion for 1-Piece Maxillary Orthognathic Surgery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Optimal Capacity Provisioning for Online Job Allocation With Hard Allocation Ratio Requirement.
IEEE/ACM Trans. Netw., 2018

Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Energy Efficient Algorithms for Real-Time Traffic Over Fading Wireless Channels.
IEEE Trans. Wirel. Commun., 2017

On the Capacity-Performance Trade-Off of Online Policy in Delayed Mobile Offloading.
IEEE Trans. Wirel. Commun., 2017

On the Capacity Requirement for Arbitrary End-to-End Deadline and Reliability Guarantees in Multi-hop Networks.
Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, Urbana-Champaign, IL, USA, June 05, 2017

2016
Online job allocation with hard allocation ratio requirement.
Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

2015
Online scheduling for delayed mobile offloading.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015


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