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06/29/2023
Unsupervised 3D registration through optimization-guided cyclical self-training
State-of-the-art deep learning-based registration methods employ three d...
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06/26/2023
A denoised Mean Teacher for domain adaptive point cloud registration
Point cloud-based medical registration promises increased computational ...
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11/22/2022
Anatomy-guided domain adaptation for 3D in-bed human pose estimation
3D human pose estimation is a key component of clinical monitoring syste...
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07/01/2022
Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts
Recent deep learning-based methods for medical image registration achiev...
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02/28/2022
Voxelmorph++ Going beyond the cranial vault with keypoint supervision and multi-channel instance optimisation
The majority of current research in deep learning based image registrati...
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01/08/2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation
Domain Adaptation (DA) has recently raised strong interests in the medic...
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12/08/2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
To date few studies have comprehensively compared medical image registra...
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12/06/2021
Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021
Current approaches for deformable medical image registration often strug...
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03/01/2021
Deep learning based geometric registration for medical images: How accurate can we get without visual features?
As in other areas of medical image analysis, e.g. semantic segmentation,...
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12/05/2020
Development and Characterization of a Chest CT Atlas
A major goal of lung cancer screening is to identify individuals with pa...
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05/28/2020
Unsupervised learning of multimodal image registration using domain adaptation with projected Earth Move's discrepancies
Multimodal image registration is a very challenging problem for deep lea...
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05/27/2020
Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings
Though, deep learning based medical image registration is currently star...
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05/26/2020
Learning to map between ferns with differentiable binary embedding networks
Current deep learning methods are based on the repeated, expensive appli...
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09/17/2019
Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients
Deformable registration continues to be one of the key challenges in med...
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07/25/2019
Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement Networks
Nonlinear image registration continues to be a fundamentally important t...
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03/05/2019
FastReg: Fast Non-Rigid Registration via Accelerated Optimisation on the Manifold of Diffeomorphisms
We present a new approach to diffeomorphic non-rigid registration of med...
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02/21/2019
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
Knowledge of whole heart anatomy is a prerequisite for many clinical app...
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09/14/2018
Multi-Kernel Diffusion CNNs for Graph-Based Learning on Point Clouds
Graph convolutional networks are a new promising learning approach to de...
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07/02/2018
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration
We present a novel algorithm for the registration of pulmonary CT scans....
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01/29/2018
