Wenjia Bai
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Papers (24)
- Cardiac Mesh Flow: One-Step Generation of 3D+t Cardiac Four-Chamber Meshes via Flow Matching eess.IV · 2026 · author #6
- Dynamic Decision Learning: Test-Time Evolution for Abnormality Grounding in Rare Diseases cs.CL · 2026 · author #5
- Enabling Ultra-Fast Cardiovascular Imaging Across Heterogeneous Clinical Environments with A Generalist Foundation Model and Multimodal Database eess.IV · 2025 · author #46
- VS-Net: Variable splitting network for accelerated parallel MRI reconstruction eess.IV · 2019 · author #5
- Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction cs.CV · 2019 · author #1
- Multi-Task Learning for Left Atrial Segmentation on GE-MRI cs.CV · 2018 · author #2
- A Comprehensive Approach for Learning-based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks cs.CV · 2018 · author #4
- Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach cs.CV · 2018 · author #4
- Recurrent neural networks for aortic image sequence segmentation with sparse annotations cs.CV · 2018 · author #1
- Deep nested level sets: Fully automated segmentation of cardiac MR images in patients with pulmonary hypertension cs.CV · 2018 · author #3
- Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling cs.CV · 2018 · author #4
- Real-time Prediction of Segmentation Quality cs.CV · 2018 · author #3
- Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences cs.CV · 2018 · author #2
- Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents cs.CV · 2018 · author #6
- Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy cs.CV · 2018 · author #3
- Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks cs.CV · 2018 · author #4
- Learning-Based Quality Control for Cardiac MR Images cs.CV · 2018 · author #3
- Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation cs.CV · 2017 · author #2
- Automated cardiovascular magnetic resonance image analysis with fully convolutional networks cs.CV · 2017 · author #1
- Three-dimensional Cardiovascular Imaging-Genetics: A Mass Univariate Framework stat.AP · 2017 · author #6
- Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation cs.CV · 2017 · author #5
- Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth cs.CV · 2017 · author #3
- DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks cs.CV · 2016 · author #6
- Multi-Atlas Segmentation using Partially Annotated Data: Methods and Annotation Strategies cs.CV · 2016 · author #3
Mentions
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Frequent Coauthors
- Daniel Rueckert 22 shared papers
- Ozan Oktay 9 shared papers
- Ben Glocker 8 shared papers
- Antonio de Marvao 7 shared papers
- Bernhard Kainz 7 shared papers
- Giacomo Tarroni 6 shared papers
- Konstantinos Kamnitsas 6 shared papers
- Martin Rajchl 5 shared papers
- Paul M. Matthews 5 shared papers
- Carlo Biffi 4 shared papers
- Chen Qin 4 shared papers
- Hideaki Suzuki 4 shared papers
- Jinming Duan 4 shared papers
- Jonathan Passerat-Palmbach 4 shared papers
- Jo Schlemper 4 shared papers
- Matthew Sinclair 4 shared papers
- Stuart Cook 4 shared papers
- Declan O'Regan 3 shared papers
- Declan P O'Regan 3 shared papers
- Declan P. O'Regan 3 shared papers