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  • 2025

    A Radiological-Based Coordinate System for the Human Body: A Proof-of-Concept

    Bucho, T. M. T., Boellaard, T. N., Taveira, M., Bodalal, Z., Nguyen-Kim, T. D. L., Beets-Tan, R. & Trebeschi, S., 13 Apr 2025, (E-pub ahead of print) Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 Workshops - LDTM 2024, MMMI/ML4MHD 2024, ML-CDS 2024, Held in Conjunction with MICCAI 2024, Proceedings. Schroder, A., Li, X., Syeda-Mahmood, T., Oxtoby, N. P., Young, A., Hering, A., Mathai, T. S., Mukherjee, P., Kuckertz, S., He, T., Llorente-Saguer, I., Maier, A., Kashyap, S., Greenspan, H. & Madabhushi, A. (eds.). Springer Verlag, Vol. 15401. p. 101-110 10 p. (Lecture Notes in Computer Science, Vol. 15401 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

  • Enhancing Cross-Modal Medical Image Segmentation Through Compositionality

    Eijpe, A., Corbetta, V., Chupetlovska, K., Beets-Tan, R. & Silva, W., 1 Jan 2025, Deep Generative Models - 4th MICCAI Workshop, DGM4MICCAI 2024, Held in Conjunction with MICCAI 2024, Proceedings. Mukhopadhyay, A., Oksuz, I., Engelhardt, S., Mehrof, D. & Yuan, Y. (eds.). Springer Verlag, Vol. 15224 LNCS. p. 43-53 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 15224 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

  • FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation

    Schutte, P., Corbetta, V., Beets-Tan, R. & Silva, W., 1 Jan 2025, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 Workshops - ISIC 2024, iMIMIC 2024, EARTH 2024, DeCaF 2024, Held in Conjunction with MICCAI 2024, Proceedings. Celebi, M. E., Reyes, M., Chen, Z. & Li, X. (eds.). Springer Verlag, Vol. 15274 LNCS. p. 246-255 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 15274 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

  • 2024

    Anatomical Concept-based Pseudo-labels for Increased Generalizability in Breast Cancer Multi-center Data

    Miranda, I., Agrotis, G., Beets-Tan, R., Teixeira, L. F. & Silva, W., 2024, 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 - Proceedings. IEEE, 4 p. 205300. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

  • Assessing the Impact of Federated Learning and Differential Privacy on Multi-centre Polyp Segmentation

    Stelter, L., Corbetta, V., Beets-Tan, R. & Silva, W., 17 Dec 2024, 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 - Proceedings. IEEE, 205300. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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

    Gao, Y., Zhou, H.-Y., Wang, X., Zhang, T., Han, L., Lu, C., Liang, X., Teuwen, J., Beets-Tan, R., Tan, T., Mann, R., Linguraru, M., Dou, Q., Feragen, A., Giannarou, S., Glocker, B., Lekadir, K. & Schnabel, J., 2024, MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION: MICCAI 2024, PT I. Linguraru, M. G., Feragen, A., Glocker, B., Schnabel, J. A., Dou, Q., Giannarou, S. & Lekadir, K. (eds.). Springer, Vol. 15001. p. 133-143 11 p. (Lecture Notes in Computer Science, Vol. 15001).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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

    Corbetta, V., Beets-Tan, R. & Silva, W., 1 Jan 2024, Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Proceedings. Cao, X., Ouyang, X., Xu, X., Rekik, I. & Cui, Z. (eds.). Springer Verlag, Vol. 14348 LNCS. p. 330-340 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14348 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

    Open Access
  • Non-adversarial Learning: Vector-Quantized Common Latent Space for Multi-sequence MRI

    Han, L., Tan, T., Zhang, T., Wang, X., Gao, Y., Lu, C., Liang, X., Dou, H., Huang, Y., Mann, R., Linguraru, M., Dou, Q., Feragen, A., Giannarou, S., Glocker, B., Lekadir, K. & Schnabel, J., 2024, MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION: MICCAI 2024, PT XI. Linguraru, M. G., Feragen, A., Glocker, B., Schnabel, J. A., Dou, Q., Giannarou, S. & Lekadir, K. (eds.). Springer, Vol. 15011. p. 481-491 11 p. (Lecture Notes in Computer Science, Vol. 15011).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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

    Wang, X., Tan, T., Gao, Y., Marcus, E., Han, L., Portaluri, A., Zhang, T., Lu, C., Liang, X., Beets-Tan, R., Teuwen, J. & Mann, R., 2024, MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2024, PT I. Linguraru, M. G., Feragen, A., Glocker, B., Schnabel, J. A., Dou, Q., Giannarou, S. & Lekadir, K. (eds.). Springer, Vol. 15001. p. 155-165 11 p. (Lecture Notes in Computer Science, Vol. 15001).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

  • Towards Case-based Interpretability for Medical Federated Learning

    Latorre, L., Petrychenko, L., Beets-Tan, R., Kopytova, T. & Silva, W., 17 Dec 2024, 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 - Proceedings. IEEE, 4 p. 205300. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

  • Towards Fast Detection and Classification of Moving Objects

    Palma-Ugarte, J., Estacio-Cerquin, L., Flores-Benites, V. & Mora-Colque, R., 1 Jan 2024, Computer Vision, Imaging and Computer Graphics Theory and Applications - 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics, VISIGRAPP 2023, Revised Selected Papers. de Sousa, A. A., Bashford-Rogers, T., Paljic, A., Ziat, M., Hurter, C., Purchase, H., Radeva, P., Farinella, G. M. & Bouatouch, K. (eds.). Springer, Vol. 2103 CCIS. p. 161-180 20 p. (Communications in Computer and Information Science, Vol. 2103 CCIS).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

  • 2023

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

    Han, L., Zhang, T., Huang, Y., Dou, H., Wang, X., Gao, Y., Lu, C., Tan, T. & Mann, R., 1 Jan 2023, Medical Image Computing and Computer Assisted Intervention: MICCAI 2023 - 26th International Conference, Proceedings. Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). 10 ed. Springer Verlag, Vol. 14229. p. 45-55 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14229 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

    Open Access
  • DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning

    Wang, X., Tan, T., Gao, Y., Han, L., Zhang, T., Lu, C., Beets-Tan, R., Su, R. & Mann, R., 1 Jan 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings. Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). 7 ed. Springer Verlag, Vol. 14226. p. 57-67 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14226 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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

    Zhang, T., Han, L., D’Angelo, A., Wang, X., Gao, Y., Lu, C., Teuwen, J., Beets-Tan, R., Tan, T. & Mann, R., 1 Jan 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings. Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). Springer Verlag, Vol. 14226 LNCS. p. 79-88 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14226 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

  • 2022

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

    Taghavi, M., Maas, M., Staal, F. C. R., Beets-Tan, R. G. H. & Benson, S., 2022, MEDICAL IMAGING 2022: COMPUTER-AIDED DIAGNOSIS: Computer-Aided Diagnosis. Drukker, K. & Iftekharuddin, K. M. (eds.). SPIE-INT SOC OPTICAL ENGINEERING, Vol. 12033. 6 p. 1203335. (Proceedings of SPIE; No. 1203335, Vol. 12033).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

  • 2021

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

    Cai, L., Beets-Tan, R. & Benson, S., 1 Jan 2021, BHI 2021 - 2021 IEEE EMBS International Conference on Biomedical and Health Informatics, Proceedings. IEEE

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademic

    Open Access