Bai, Wenjia
45  results:
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1

T1/T2 Relaxation Temporal Modelling from Accelerated Acquis..:

, In: Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers; Lecture Notes in Computer Science,
Tänzer, Michael ; Wang, Fanwen ; Qiao, Mengyun... - p. 293-302 , 2024
 
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2

LesionMix: A Lesion-Level Data Augmentation Method for Medi..:

, In: Lecture Notes in Computer Science; Data Augmentation, Labelling, and Imperfections,
 
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3

M-FLAG: Medical Vision-Language Pre-training with Frozen La..:

, In: Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2023,
Liu, Che ; Cheng, Sibo ; Chen, Chen... - p. 637-647 , 2023
 
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4

MoCoSR: Respiratory Motion Correction and Super-Resolution ..:

, In: Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2023,
Zhang, Weitong ; Basaran, Berke ; Meng, Qingjie... - p. 121-131 , 2023
 
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5

Mesh-Based 3D Motion Tracking in Cardiac MRI Using Deep Lea..:

, In: Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2022,
Meng, Qingjie ; Bai, Wenjia ; Liu, Tianrui.. - p. 248-258 , 2022
 
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6

Motion Correction Using Deep Learning Neural Networks - Eff..:

, In: 2022 IEEE International Ultrasonics Symposium (IUS),
 
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7

Subject-Specific Lesion Generation and Pseudo-Healthy Synth..:

, In: Simulation and Synthesis in Medical Imaging; Lecture Notes in Computer Science,
 
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8

Improved Post-hoc Probability Calibration for Out-of-Domain..:

, In: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging; Lecture Notes in Computer Science,
Ouyang, Cheng ; Wang, Shuo ; Chen, Chen... - p. 59-69 , 2022
 
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9

MaxStyle: Adversarial Style Composition for Robust Medical ..:

, In: Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2022,
Chen, Chen ; Li, Zeju ; Ouyang, Cheng... - p. 151-161 , 2022
 
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10

Generative Modelling of the Ageing Heart with Cross-Section..:

, In: Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers; Lecture Notes in Computer Science,
Qiao, Mengyun ; Basaran, Berke Doga ; Qiu, Huaqi... - p. 3-12 , 2022
 
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11

Quality-Aware Semi-supervised Learning for CMR Segmentation:

, In: Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges; Lecture Notes in Computer Science,
Ruijsink, Bram ; Puyol-Antón, Esther ; Li, Ye... - p. 97-107 , 2021
 
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12

Self-training for Brain Tumour Segmentation with Uncertaint..:

, In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries; Lecture Notes in Computer Science,
Dai, Chengliang ; Wang, Shuo ; Raynaud, Hadrien... - p. 514-523 , 2021
 
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13

DeepMCAT: Large-Scale Deep Clustering for Medical Image Cat..:

, In: Deep Generative Models, and Data Augmentation, Labelling, and Imperfections; Lecture Notes in Computer Science,
Kart, Turkay ; Bai, Wenjia ; Glocker, Ben. - p. 259-267 , 2021
 
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14

Joint Motion Correction and Super Resolution for Cardiac Se..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021; Lecture Notes in Computer Science,
Wang, Shuo ; Qin, Chen ; Savioli, Nicolò... - p. 14-24 , 2021
 
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15

Cooperative Training and Latent Space Data Augmentation for..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021; Lecture Notes in Computer Science,
Chen, Chen ; Hammernik, Kerstin ; Ouyang, Cheng... - p. 149-159 , 2021
 
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