An improved automatic system for aiding the detection of colon polyps using deep learning. - Lishan Cai; Regina Beets-Tan; Sean Benson (BHI, 2021)

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 (Computer-Aided Diagnosis, 2022)

Attention-Based Regularisation for Improved Generalisability in Medical Multi-Centre Data. - Daniel Silva; Georgios Agrotis; Regina Beets-Tan; Luís F. Teixeira 001; Wilson Silva (ICMLA, 2023)

DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning. - Xin Wang 121; Tao Tan 002; Yuan Gao; Luyi Han; Tianyu Zhang 006; Chunyao Lu; Regina Beets-Tan; Ruisheng Su; Ritse Mann (MICCAI (7), 2023)

Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism. - Tianyu Zhang 006; Luyi Han; Anna D'Angelo; Xin Wang 121; Yuan Gao; Chunyao Lu; Jonas Teuwen; Regina Beets-Tan; Tao Tan 002; Ritse Mann (MICCAI (7), 2023)

Interpretability-Guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data. - Valentina Corbetta; Regina Beets-Tan; Wilson Silva (MLMI@MICCAI (1), 2023)

IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data. - Tianyu Zhang 006; Tao Tan 002; Luyi Han; Xin Wang 121; Yuan Gao; Jonas Teuwen; Regina Beets-Tan; Ritse Mann (CoRR, 2023)

Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism. - Tianyu Zhang 006; Luyi Han; Anna D'Angelo; Xin Wang 121; Yuan Gao; Chunyao Lu; Jonas Teuwen; Regina Beets-Tan; Tao Tan 002; Ritse Mann (CoRR, 2023)

Radiomics and artificial intelligence in breast imaging: a survey. - Tianyu Zhang 006; Tao Tan 002; Riccardo Samperna; Zhang Li; Yuan Gao; Xin Wang 121; Luyi Han; Qifeng Yu; Regina G. H. Beets-Tan; Ritse M. Mann (Artif. Intell. Rev., 2023)

Towards Case-based Interpretability for Medical Federated Learning. - Laura Latorre; Liliana Petrychenko; Regina Beets-Tan; Taisiya Kopytova; Wilson Silva (EMBC, 2024)

Anatomical Concept-based Pseudo-labels for Increased Generalizability in Breast Cancer Multi-center Data. - Isabela Miranda; Georgios Agrotis; Regina Beets-Tan; Luís F. Teixeira 001; Wilson Silva (EMBC, 2024)

Assessing the Impact of Federated Learning and Differential Privacy on Multi-centre Polyp Segmentation. - Lena Stelter; Valentina Corbetta; Regina Beets-Tan; Wilson Silva (EMBC, 2024)

A Radiological-Based Coordinate System for the Human Body: A Proof-of-Concept. - Teresa M. T. Bucho; Thierry N. Boellaard; Mateus Taveira; Zuhir Bodalal; Thi D. L. Nguyen-Kim; Regina Beets-Tan; Stefano Trebeschi (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

Enhancing Cross-Modal Medical Image Segmentation Through Compositionality. - Aniek Eijpe; Valentina Corbetta; Kalina Chupetlovska; Regina Beets-Tan; Wilson Silva (DGM4MICCAI@MICCAI, 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 121; Tianyu Zhang 006; Luyi Han; Chunyao Lu; Xinglong Liang; Jonas Teuwen; Regina Beets-Tan; Tao Tan 002; Ritse Mann (MICCAI (1), 2024)

FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation. - Philip Schutte; Valentina Corbetta; Regina Beets-Tan; Wilson Silva (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms. - Xin Wang 121; Tao Tan 002; Yuan Gao; Eric Marcus; Luyi Han; Antonio Portaluri; Tianyu Zhang 006; Chunyao Lu; Xinglong Liang; Regina Beets-Tan; Jonas Teuwen; Ritse Mann (MICCAI (1), 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; et al. (Comput. Biol. Medicine, 2024)

IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data. - Tianyu Zhang 006; Tao Tan 002; Luyi Han; Xin Wang 121; Yuan Gao; Jarek van Dijk; Antonio Portaluri; Abel Gonzalez-Huete; Anna D'Angelo; Chunyao Lu; Jonas Teuwen; Regina Beets-Tan; et al. (Inf. Fusion, 2024)

Multimodal integration of longitudinal noninvasive diagnostics for survival prediction in immunotherapy using deep learning. - Melda Yeghaian; Zuhir Bodalal; Daan van den Broek; John B. A G. Haanen; Regina G. H. Beets-Tan; Stefano Trebeschi; Marcel A. J. van Gerven (J. Am. Medical Informatics Assoc., 2025)

Anomaly-Driven Approach for Enhanced Prostate Cancer Segmentation. - Alessia Hu; Regina Beets-Tan; Lishan Cai; Eduardo Pooch (CoRR, 2025)

In-hoc Concept Representations to Regularise Deep Learning in Medical Imaging. - Valentina Corbetta; Floris Six Dijkstra; Regina Beets-Tan; Hoel Kervadec; Kristoffer Wickstrøm; Wilson Silva (CoRR, 2025)