research
∙
07/03/2023
An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis
Multi-sequence MRI is valuable in clinical settings for reliable diagnos...
share
research
∙
06/26/2023
GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration
Deep learning-based deformable registration methods have been widely inv...
research
∙
02/01/2023
Synthesis-based Imaging-Differentiation Representation Learning for Multi-Sequence 3D/4D MRI
Multi-sequence MRIs can be necessary for reliable diagnosis in clinical ...
research
∙
10/09/2022
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive Learning
Domain adaptation has been widely adopted to transfer styles across mult...
research
∙
08/09/2022
Longitudinal Prediction of Postnatal Brain Magnetic Resonance Images via a Metamorphic Generative Adversarial Network
Missing scans are inevitable in longitudinal studies due to either subje...
research
∙
06/30/2022
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework
Tumor infiltration of the recurrent laryngeal nerve (RLN) is a contraind...
research
∙
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...
research
∙
10/28/2021
Deformable Registration of Brain MR Images via a Hybrid Loss
We learn a deformable registration model for T1-weighted MR images by co...
research
∙
05/19/2020
