We stand with Ukraine

We stand with Ukraine

Xin Wang

Affiliations:

Netherlands Cancer Institute (NKI), Department of Radiology, Amsterdam, The Netherlands
Maastricht University, GROW School for Oncology and Development Biology, Maastricht, The Netherlands
Radboud University Medical Center, Department of Radiology and Nuclear Medicine, The Netherlands

According to our database¹, Xin Wang authored at least 14 papers between 2023 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

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Other

Links

Online presence:

On csauthors.net:

Bibliography

2024

Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI.

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Medical Image Anal., February, 2024

DIAS: A dataset and benchmark for intracranial artery segmentation in DSA sequences.

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Medical Image Anal., 2024

IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data.

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Antonio Portaluri

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Abel Gonzalez-Huete

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Regina Beets-Tan

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Inf. Fusion, 2024

To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection.

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Valentina Longo

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Sofía Ventura-Díaz

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CoRR, 2024

Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms.

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Antonio Portaluri

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Regina Beets-Tan

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Non-adversarial Learning: Vector-Quantized Common Latent Space for Multi-sequence MRI.

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-Guided Model.

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Regina Beets-Tan

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Radiomics and artificial intelligence in breast imaging: a survey.

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Riccardo Samperna

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Regina G. H. Beets-Tan

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Artif. Intell. Rev., October, 2023

2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data.

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Biomed. Signal Process. Control., July, 2023

Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism.

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Regina Beets-Tan

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CoRR, 2023

IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data.

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Regina Beets-Tan

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CoRR, 2023

Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism.

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Regina Beets-Tan

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning.

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Regina Beets-Tan

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis.

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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