Regina Beets-Tan

According to our database, Regina Beets-Tan authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

Tianyu Zhang, Tao Tan, Luyi Han, Xin Wang, Yuan Gao, Jarek van Dijk, Antonio Portaluri, Abel Gonzalez-Huete, Anna D'Angelo, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Yue Sun, Ritse Mann

Inf. Fusion, 2024

Towards Case-based Interpretability for Medical Federated Learning.

Laura Latorre, Liliana Petrychenko, Regina Beets-Tan, Taisiya Kopytova, Wilson Silva

CoRR, 2024

FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation.

Philip Schutte, Valentina Corbetta, Regina Beets-Tan, Wilson Silva

CoRR, 2024

Overcoming data scarcity in radiomics/radiogenomics using synthetic radiomic features.

Milad Ahmadian, Zuhir Bodalal, Hedda J. van der Hulst, Conchita Vens, Luc H. E. Karssemakers, Nino Bogveradze, Francesca Castagnoli, Federica Landolfi, Eun Kyoung Hong, Nicolo Gennaro, Andrea Delli Pizzi, Regina G. H. Beets-Tan, Michiel W. M. van den Brekel, Jonas A. Castelijns

Comput. Biol. Medicine, 2024

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

Xin Wang, Tao Tan, Yuan Gao, Eric Marcus, Luyi Han, Antonio Portaluri, Tianyu Zhang, Chunyao Lu, Xinglong Liang, Regina Beets-Tan, Jonas Teuwen, Ritse Mann

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.

Yuan Gao, Hong-Yu Zhou, Xin Wang, Tianyu Zhang, Luyi Han, Chunyao Lu, Xinglong Liang, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann

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

Enhancing Cross-Modal Medical Image Segmentation Through Compositionality.

Aniek Eijpe, Valentina Corbetta, Kalina Chupetlovska, Regina Beets-Tan, Wilson Silva

Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 2024

2023

Radiomics and artificial intelligence in breast imaging: a survey.

Tianyu Zhang, Tao Tan, Riccardo Samperna, Zhang Li, Yuan Gao, Xin Wang, Luyi Han, Qifeng Yu, Regina G. H. Beets-Tan, Ritse M. Mann

Artif. Intell. Rev., October, 2023

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

Tianyu Zhang, Luyi Han, Anna D'Angelo, Xin Wang, Yuan Gao, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann

CoRR, 2023

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

Tianyu Zhang, Tao Tan, Luyi Han, Xin Wang, Yuan Gao, Jonas Teuwen, Regina Beets-Tan, Ritse Mann

CoRR, 2023

Interpretability-Guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data.

Valentina Corbetta, Regina Beets-Tan, Wilson Silva

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

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

Tianyu Zhang, Luyi Han, Anna D'Angelo, Xin Wang, Yuan Gao, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann

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.

Xin Wang, Tao Tan, Yuan Gao, Luyi Han, Tianyu Zhang, Chunyao Lu, Regina Beets-Tan, Ruisheng Su, Ritse Mann

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

Attention-Based Regularisation for Improved Generalisability in Medical Multi-Centre Data.

Daniel Silva, Georgios Agrotis, Regina Beets-Tan, Luís F. Teixeira, Wilson Silva

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

CNN-based tumor progression prediction after thermal ablation with CT imaging.

Marjaneh Taghavi, Monique Maas, Femke C. R. Staal, Regina G. H. Beets-Tan, Sean Benson

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021

An improved automatic system for aiding the detection of colon polyps using deep learning.

Lishan Cai, Regina Beets-Tan, Sean Benson

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021