Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation. - Chen Chen 042; Cheng Ouyang; Giacomo Tarroni; Jo Schlemper; Huaqi Qiu; Wenjia Bai; Daniel Rueckert (STACOM@MICCAI, 2019)

Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training. - Huaqi Qiu; Chen Qin; Loïc Le Folgoc; Benjamin Hou; Jo Schlemper; Daniel Rueckert (STACOM@MICCAI, 2019)

Deep learning for cardiac image segmentation: A review. - Chen Chen 042; Chen Qin; Huaqi Qiu; Giacomo Tarroni; Jinming Duan 001; Wenjia Bai; Daniel Rueckert (CoRR, 2019)

Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation. - Cheng Ouyang; Carlo Biffi; Chen Chen 042; Turkay Kart; Huaqi Qiu; Daniel Rueckert (ECCV (29), 2020)

Realistic Adversarial Data Augmentation for MR Image Segmentation. - Chen Chen 042; Chen Qin; Huaqi Qiu; Cheng Ouyang; Shuo Wang 011; Liang Chen 018; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (MICCAI (1), 2020)

Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI. - Chen Qin; Shuo Wang 011; Chen Chen 042; Huaqi Qiu; Wenjia Bai; Daniel Rueckert (MICCAI (3), 2020)

Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features. - Ping Lu 003; Huaqi Qiu; Chen Qin; Wenjia Bai; Daniel Rueckert; J. Alison Noble (MIUA, 2020)

Detecting Outliers with Foreign Patch Interpolation. - Jeremy Tan; Benjamin Hou; James Batten; Huaqi Qiu; Bernhard Kainz (CoRR, 2020)

Learning Diffeomorphic and Modality-invariant Registration using B-splines. - Huaqi Qiu; Chen Qin; Andreas Schuh; Kerstin Hammernik; Daniel Rueckert (MIDL, 2021)

Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation. - Chen Chen 042; Chen Qin; Cheng Ouyang; Shuo Wang 011; Huaqi Qiu; Liang Chen 018; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (CoRR, 2021)

Is MC Dropout Bayesian? - Loïc Le Folgoc; Vasileios Baltatzis; Sujal Desai; Anand Devaraj; Sam Ellis; Octavio E. Martinez Manzanera; Arjun Nair; Huaqi Qiu; Julia A. Schnabel; Ben Glocker (CoRR, 2021)

Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo. - Daniel Grzech; Mohammad Farid Azampour; Huaqi Qiu; Ben Glocker; Bernhard Kainz; Loïc Le Folgoc (CoRR, 2021)

GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration. - Huaqi Qiu; Kerstin Hammernik; Chen Qin; Daniel Rueckert (CoRR, 2021)

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (CoRR, 2021)

Embedding Gradient-Based Optimization in Image Registration Networks. - Huaqi Qiu; Kerstin Hammernik; Chen Qin; Chen Chen 042; Daniel Rueckert (MICCAI (6), 2022)

Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data. - Mengyun Qiao; Berke Doga Basaran; Huaqi Qiu; Shuo Wang 011; Yi Guo 002; Yuanyuan Wang 001; Paul M. Matthews; Daniel Rueckert; Wenjia Bai (STACOM@MICCAI, 2022)

Enhancing MR image segmentation with realistic adversarial data augmentation. - Chen Chen 042; Chen Qin; Cheng Ouyang; Zeju Li; Shuo Wang 011; Huaqi Qiu; Liang Chen 018; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (Medical Image Anal., 2022)

Learning a Model-Driven Variational Network for Deformable Image Registration. - Xi Jia; Alexander Thorley; Wei Chen 092; Huaqi Qiu; Linlin Shen; Iain B. Styles; Hyung Jin Chang; Ales Leonardis; Antonio de Marvao; Declan P. O'Regan; Daniel Rueckert; Jinming Duan 001 (IEEE Trans. Medical Imaging, 2022)

Self-Supervised Learning for Few-Shot Medical Image Segmentation. - Cheng Ouyang; Carlo Biffi; Chen Chen 042; Turkay Kart; Huaqi Qiu; Daniel Rueckert (IEEE Trans. Medical Imaging, 2022)

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (IEEE Trans. Medical Imaging, 2022)

Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (Bildverarbeitung für die Medizin, 2023)

Conditional Deformable Image Registration with Spatially-Variant and Adaptive Regularization. - Yinsong Wang; Huaqi Qiu; Chen Qin (ISBI, 2023)

MAD: Modality Agnostic Distance Measure for Image Registration. - Vasiliki Sideri-Lampretsa; Veronika A. Zimmer; Huaqi Qiu; Georgios Kaissis; Daniel Rueckert (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (IEEE Trans. Medical Imaging, 2023)

SINR: Spline-enhanced implicit neural representation for multi-modal registration. - Vasiliki Sideri-Lampretsa; Julian McGinnis; Huaqi Qiu; Magdalini Paschali; Walter Simson; Daniel Rueckert (MIDL, 2024)

Image registration is a geometric deep learning task. - Vasiliki Sideri-Lampretsa; Nil Stolt Ansó; Martin J. Menten; Huaqi Qiu; Julian McGinnis; Daniel Rueckert (CoRR, 2024)

CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy. - Mengyun Qiao; Shuo Wang 011; Huaqi Qiu; Antonio de Marvao; Declan P. O'Regan; Daniel Rueckert; Wenjia Bai (IEEE Trans. Medical Imaging, 2024)

Evaluation of Alignment-Regularity Characteristics in Deformable Image Registration. - Vasiliki Sideri-Lampretsa; Daniel Rueckert; Huaqi Qiu (CoRR, 2025)

Parametric shape models for vessels learned from segmentations via differentiable voxelization. - Alina F. Dima; Suprosanna Shit; Huaqi Qiu; Robbie Holland; Tamara T. Mueller; Fabio Musio; Kaiyuan Yang 003; Bjoern H. Menze; Rickmer Braren; Marcus R. Makowski; Daniel Rueckert (CoRR, 2025)