Huaqi Qiu

Orcid: 0000-0002-9706-7310

According to our database1, Huaqi Qiu authored at least 25 papers between 2019 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy.
IEEE Trans. Medical Imaging, March, 2024

2023
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging, March, 2023

MAD: Modality Agnostic Distance Measure for Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Conditional Deformable Image Registration with Spatially-Variant and Adaptive Regularization.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023


2022
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.
IEEE Trans. Medical Imaging, 2022

Self-Supervised Learning for Few-Shot Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022

Learning a Model-Driven Variational Network for Deformable Image Registration.
IEEE Trans. Medical Imaging, 2022

Enhancing MR image segmentation with realistic adversarial data augmentation.
Medical Image Anal., 2022

Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Embedding Gradient-Based Optimization in Image Registration Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
CoRR, 2021

GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration.
CoRR, 2021

Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo.
CoRR, 2021

Is MC Dropout Bayesian?
CoRR, 2021

Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation.
CoRR, 2021

Learning Diffeomorphic and Modality-invariant Registration using B-splines.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020
Detecting Outliers with Foreign Patch Interpolation.
CoRR, 2020

Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Realistic Adversarial Data Augmentation for MR Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Deep learning for cardiac image segmentation: A review.
CoRR, 2019

Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019


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