Regina Beets-Tan

29 papers C 1Journal 14Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Incorporating global-local tissue changes to predict future breast cancer from longitudinal screening mammograms.
Medical Image Anal.
Xin Wang, Tao Tan, Yuan Gao, Eric Marcus, Hong-Yu Zhou, Chunyao Lu, Luyi Han, Antonio Portaluri, Ruisheng Su, Tianyu Zhang, Xinglong Liang, Regina Beets-Tan, Katja Pinker-Domenig, Yue Sun, Ritse Mann, Jonas Teuwen
2026 J jnl
SONIC: Spectral Oriented Neural Invariant Convolutions.
CoRR
Gijs Joppe Moens, Regina Beets-Tan, Eduardo H. P. Pooch
2025 J jnl
Anomaly-Driven Approach for Enhanced Prostate Cancer Segmentation.
CoRR
Alessia Hu, Regina Beets-Tan, Lishan Cai, Eduardo H. P. Pooch
2025 — conf
In-Hoc Concept Representations to Regularise Deep Learning in Medical Imaging.
ICCVW
Valentina Corbetta, Floris Six Dijkstra, Regina Beets-Tan, Hoel Kervadec, Kristoffer Wickstrøm, Wilson Silva
2025 J jnl
In-hoc Concept Representations to Regularise Deep Learning in Medical Imaging.
CoRR
Valentina Corbetta, Floris Six Dijkstra, Regina Beets-Tan, Hoel Kervadec, Kristoffer Wickstrøm, Wilson Silva
2025 J jnl
Multi-Modal Longitudinal Representation Learning for Predicting Neoadjuvant Therapy Response in Breast Cancer Treatment.
IEEE J. Biomed. Health Informatics
Yuan Gao, Tao Tan, Xin Wang, Regina Beets-Tan, Tianyu Zhang, Luyi Han, Antonio Portaluri, Chunyao Lu, Xinglong Liang, Jonas Teuwen, Hong-Yu Zhou, Ritse Mann
2024 — conf
A Radiological-Based Coordinate System for the Human Body: A Proof-of-Concept.
LDTM/MMMI/ML4MHD/ML-CDS@MICCAI
Teresa M. T. Bucho, Thierry N. Boellaard, Mateus Taveira, Zuhir Bodalal, Thi D. L. Nguyen-Kim, Regina Beets-Tan, Stefano Trebeschi
2024 — conf
Anatomical Concept-based Pseudo-labels for Increased Generalizability in Breast Cancer Multi-center Data.
EMBC
Isabela Miranda, Georgios Agrotis, Regina Beets-Tan, Luís F. Teixeira, Wilson Silva
2024 — conf
Assessing the Impact of Federated Learning and Differential Privacy on Multi-centre Polyp Segmentation.
EMBC
Lena Stelter, Valentina Corbetta, Regina Beets-Tan, Wilson Silva
2024 — conf
Enhancing Cross-Modal Medical Image Segmentation Through Compositionality.
DGM4MICCAI@MICCAI
Aniek Eijpe, Valentina Corbetta, Kalina Chupetlovska, Regina Beets-Tan, Wilson Silva
2024 J jnl
Enhancing Cross-Modal Medical Image Segmentation through Compositionality.
CoRR
Aniek Eijpe, Valentina Corbetta, Kalina Chupetlovska, Regina Beets-Tan, Wilson Silva
2024 — conf
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation.
ISIC/iMIMIC/EARTH/DeCaF@MICCAI
Philip Schutte, Valentina Corbetta, Regina Beets-Tan, Wilson Silva
2024 J jnl
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation.
CoRR
Philip Schutte, Valentina Corbetta, Regina Beets-Tan, Wilson Silva
2024 J jnl
IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data.
Inf. Fusion
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
2024 — conf
Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-Guided Model.
MICCAI (1)
Yuan Gao, Hong-Yu Zhou, Xin Wang, Tianyu Zhang, Luyi Han, Chunyao Lu, Xinglong Liang, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann
2024 — conf
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms.
MICCAI (1)
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
2024 J jnl
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms.
CoRR
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
2024 — conf
Towards Case-based Interpretability for Medical Federated Learning.
EMBC
Laura Latorre, Liliana Petrychenko, Regina Beets-Tan, Taisiya Kopytova, Wilson Silva
2024 J jnl
Towards Case-based Interpretability for Medical Federated Learning.
CoRR
Laura Latorre, Liliana Petrychenko, Regina Beets-Tan, Taisiya Kopytova, Wilson Silva
2023 C conf
Attention-Based Regularisation for Improved Generalisability in Medical Multi-Centre Data.
ICMLA
Daniel Silva, Georgios Agrotis, Regina Beets-Tan, Luís F. Teixeira, Wilson Silva
2023 — conf
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning.
MICCAI (7)
Xin Wang, Tao Tan, Yuan Gao, Luyi Han, Tianyu Zhang, Chunyao Lu, Regina Beets-Tan, Ruisheng Su, Ritse Mann
2023 J jnl
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning.
CoRR
Xin Wang, Tao Tan, Yuan Gao, Luyi Han, Tianyu Zhang, Chunyao Lu, Regina Beets-Tan, Ruisheng Su, Ritse Mann
2023 J jnl
IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data.
CoRR
Tianyu Zhang, Tao Tan, Luyi Han, Xin Wang, Yuan Gao, Jonas Teuwen, Regina Beets-Tan, Ritse Mann
2023 — conf
Interpretability-Guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data.
MLMI@MICCAI (1)
Valentina Corbetta, Regina Beets-Tan, Wilson Silva
2023 J jnl
Interpretability-guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data.
CoRR
Valentina Corbetta, Regina Beets-Tan, Wilson Silva
2023 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings
MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI
Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas Sudharshan Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets-Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard M. Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles
2023 J jnl
Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism.
CoRR
Tianyu Zhang, Luyi Han, Anna D'Angelo, Xin Wang, Yuan Gao, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann
2023 — conf
Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism.
MICCAI (7)
Tianyu Zhang, Luyi Han, Anna D'Angelo, Xin Wang, Yuan Gao, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann
2021 — conf
An improved automatic system for aiding the detection of colon polyps using deep learning.
BHI
Lishan Cai, Regina Beets-Tan, Sean Benson