Julia Schnabel

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Julia Schnabel

Prof. Dr.

 https://orcid.org/0000-0001-6107-3009
1994 …2025

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  • 2025

    Diffusion Models for Unsupervised Anomaly Detection in Fetal Brain Ultrasound

    Mykula, H., Gasser, L., Lobmaier, S., Schnabel, J. A., Zimmer, V. & Bercea, C. I., 2025, Simplifying Medical Ultrasound - 5th International Workshop, ASMUS 2024, Held in Conjunction with MICCAI 2024, Proceedings. Gomez, A., Khanal, B., King, A. & Namburete, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 220-230 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15186 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound

    Rasheed, H., Dorent, R., Fehrentz, M., Kapur, T., Wells, W. M., Golby, A., Frisken, S., Schnabel, J. A. & Haouchine, N., 2025, Simplifying Medical Ultrasound - 5th International Workshop, ASMUS 2024, Held in Conjunction with MICCAI 2024, Proceedings. Gomez, A., Khanal, B., King, A. & Namburete, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 78-87 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15186 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • MedEdit: Counterfactual Diffusion-Based Image Editing on Brain MRI

    Alaya, M. B., Lang, D. M., Wiestler, B., Schnabel, J. A. & Bercea, C. I., 2025, Simulation and Synthesis in Medical Imaging - 9th International Workshop, SASHIMI 2024, Held in Conjunction with MICCAI 2024, Proceedings. Fernandez, V., Wolterink, J. M., Wiesner, D., Remedios, S., Zuo, L. & Casamitjana, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 167-176 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15187 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models

    Daum, D., Osuala, R., Riess, A., Kaissis, G., Schnabel, J. A. & Di Folco, M., 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 Science and Business Media Deutschland GmbH, p. 139-149 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 proceeding › Conference contribution › peer-review

  • 2024

    A Self-supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer

    Machado, I. P., Reithmeir, A., Kogl, F., Rundo, L., Funingana, G., Reinius, M., Mungmeeprued, G., Gao, Z., McCague, C., Kerfoot, E., Woitek, R., Sala, E., Ou, Y., Brenton, J., Schnabel, J. & Crispin, M., 2024, Biomedical Image Registration - 11th International Workshop, WBIR 2024, Held in Conjunction with MICCAI 2024, Proceedings. Modat, M., Špiclin, Ž., Hering, A., Simpson, I., Bastiaansen, W. & Mok, T. C. W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 295-307 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15249 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology

    Koch, V., Wagner, S. J., Kazeminia, S., Sancar, E., Hehr, M., Schnabel, J. A., Peng, T. & Marr, C., 2024, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 - 27th International Conference, Proceedings. Linguraru, M. G., Dou, Q., Feragen, A., Giannarou, S., Glocker, B., Lekadir, K. & Schnabel, J. A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 520-530 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15012 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • Evaluation of Randomized Input Sampling for Explanation (RISE) for 3D XAI - Proof of Concept for Black-Box Brain-Hemorrhage Classification

    Highton, J., Chong, Q. Z., Crawley, R., Schnabel, J. A. & Bhatia, K. K., 2024, Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) - Medical Imaging and Computer-Aided Diagnosis. Su, R., Zhang, Y.-D. & Frangi, A. F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 41-51 11 p. (Lecture Notes in Electrical Engineering; vol. 1166 LNEE).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • General Vision Encoder Features as Guidance in Medical Image Registration

    Kögl, F., Reithmeir, A., Sideri-Lampretsa, V., Machado, I., Braren, R., Rueckert, D., Schnabel, J. A. & Zimmer, V. A., 2024, Biomedical Image Registration - 11th International Workshop, WBIR 2024, Held in Conjunction with MICCAI 2024, Proceedings. Modat, M., Špiclin, Ž., Hering, A., Simpson, I., Bastiaansen, W. & Mok, T. C. W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 265-279 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15249 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space

    Spieker, V., Huang, W., Eichhorn, H., Stelter, J., Weiss, K., Zimmer, V. A., Braren, R. F., Karampinos, D. C., Hammernik, K. & Schnabel, J. A., 2024, Deep Generative Models - Third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Proceedings. Mukhopadhyay, A., Oksuz, I., Engelhardt, S., Zhu, D. & Yuan, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 183-192 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14533 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    2 Scopus citations

  • Influence of Prompting Strategies on Segment Anything Model (SAM) for Short-axis Cardiac MRI Segmentation

    Stein, J., Di Folco, M. & Schnabel, J. A., 2024, Bildverarbeitung für die Medizin 2024 - Proceedings, German Conference on Medical Image Computing, 2024. Maier, A., Deserno, T. M., Handels, H., Maier-Hein, K., Palm, C. & Tolxdorff, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 54-59 6 p. (Informatik aktuell).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access

  • Learning Physics-Inspired Regularization for Medical Image Registration with Hypernetworks

    Reithmeir, A., Schnabel, J. A. & Zimmer, V. A., 2024, Medical Imaging 2024: Image Processing. Colliot, O. & Mitra, J. (eds.). SPIE, 129262K. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12926).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access

  • Low-Resource Finetuning of Foundation Models Beats State-of-the-Art in Histopathology

    Roth, B., Koch, V., Wagner, S. J., Schnabel, J. A., Marr, C. & Peng, T., 2024, IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI

    Eichhorn, H., Spieker, V., Hammernik, K., Saks, E., Weiss, K., Preibisch, C. & Schnabel, J. A., 2024, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 - 27th International Conference, Proceedings. Linguraru, M. G., Dou, Q., Feragen, A., Giannarou, S., Glocker, B., Lekadir, K. & Schnabel, J. A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 562-571 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15007 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks

    Fischer, S. M., Felsner, L., Osuala, R., Kiechle, J., Lang, D. M., Peeken, J. C. & Schnabel, J. A., 2024, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, 27th International Conference Proceedings. Linguraru, M. G., Dou, Q., Feragen, A., Giannarou, S., Glocker, B., Lekadir, K. & Schnabel, J. A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 510-520 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15009 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Segmentation-guided Medical Image Registration: Quality Awareness using Label Noise Correctionn

    Raveendran, V., Spieker, V., Braren, R. F., Karampinos, D. C., Zimmer, V. A. & Schnabel, J. A., 2024, Bildverarbeitung für die Medizin 2024 - Proceedings, German Conference on Medical Image Computing, 2024. Maier, A., Deserno, T. M., Handels, H., Maier-Hein, K., Palm, C. & Tolxdorff, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 33-38 6 p. (Informatik aktuell).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Self-supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations

    Spieker, V., Eichhorn, H., Stelter, J. K., Huang, W., Braren, R. F., Rueckert, D., Sahli Costabal, F., Hammernik, K., Prieto, C., Karampinos, D. C. & Schnabel, J. A., 2024, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 - 27th International Conference, Proceedings. Linguraru, M. G., Dou, Q., Feragen, A., Giannarou, S., Glocker, B., Lekadir, K. & Schnabel, J. A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 614-624 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15007 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Sparse Annotation Strategies for Segmentation of Short Axis Cardiac MRI

    Stein, J., Di Folco, M. & Schnabel, J. A., 2024, Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers - 14th International Workshop, STACOM 2023, Held in Conjunction with MICCAI 2023, Revised Selected Papers. Camara, O., Puyol-Antón, E., Suinesiaputra, A., Young, A., Sermesant, M., Tao, Q. & Wang, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 66-76 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14507 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Towards Generalised Neural Implicit Representations for Image Registration

    Zimmer, V. A., Hammernik, K., Sideri-Lampretsa, V., Huang, W., Reithmeir, A., Rueckert, D. & Schnabel, J. A., 2024, Deep Generative Models - Third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Proceedings. Mukhopadhyay, A., Oksuz, I., Engelhardt, S., Zhu, D. & Yuan, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 45-55 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14533 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models

    Osuala, R., Lang, D. M., Verma, P., Joshi, S., Tsirikoglou, A., Skorupko, G., Kushibar, K., Garrucho, L., Pinaya, W. H. L., Diaz, O., Schnabel, J. A. & Lekadir, K., 2024, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 - 27th International Conference, Proceedings. Linguraru, M. G., Dou, Q., Feragen, A., Giannarou, S., Glocker, B., Lekadir, K. & Schnabel, J. A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 713-723 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15005 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Unsupervised Similarity Learning for Image Registration with Energy-Based Models

    Grzech, D., Folgoc, L. L., Azampour, M. F., Vlontzos, A., Glocker, B., Navab, N., Schnabel, J. & Kainz, B., 2024, Biomedical Image Registration - 11th International Workshop, WBIR 2024, Held in Conjunction with MICCAI 2024, Proceedings. Modat, M., Špiclin, Ž., Hering, A., Simpson, I., Bastiaansen, W. & Mok, T. C. W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 229-240 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15249 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2023

    A skeletonization algorithm for gradient-based optimization

    Menten, M. J., Paetzold, J. C., Zimmer, V. A., Shit, S., Ezhov, I., Holland, R., Probst, M., Schnabel, J. A. & Rueckert, D., 2023, Proceedings - 2023 IEEE/CVF International Conference on Computer Vision, ICCV 2023. Institute of Electrical and Electronics Engineers Inc., p. 21337-21346 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    6 Scopus citations

  • Bias in Unsupervised Anomaly Detection in Brain MRI

    Bercea, C. I., Puyol-Antón, E., Wiestler, B., Rueckert, D., Schnabel, J. A. & King, A. P., 2023, Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023, Proceedings. Wesarg, S., Oyarzun Laura, C., Puyol Antón, E., King, A. P., Baxter, J. S. H., Erdt, M., Drechsler, K., Freiman, M., Chen, Y., Rekik, I., Eagleson, R., Feragen, A., Cheplygina, V., Ganz-Benjaminsen, M., Ferrante, E., Glocker, B., Moyer, D. & Petersen, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 122-131 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14242 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • Colorimetric Sensor Reading and Illumination Correction via Multi-Task Deep-Learning

    Castelblanco, A., Matzeu, G., Ruggeri, E., Omenetto, F. G., Hilgendorff, A., Schnabel, J. A. & Schubert, B., 2023, 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • F2FD: Fourier Perturbations for Denoising Cryo-Electron Tomograms and Comparison to Established Approaches

    Maldonado, J. C., Lamm, L., Liu, Y., Liu, Y., Righetto, R. D., Schnabel, J. A. & Peng, T., 2023, 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging; vol. 2023-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • Multispectral 3D Masked Autoencoders for Anomaly Detection in Non-Contrast Enhanced Breast MRI

    Lang, D. M., Schwartz, E., Bercea, C. I., Giryes, R. & Schnabel, J. A., 2023, Cancer Prevention Through Early Detection - 2nd International Workshop, CaPTion 2023, Held in Conjunction with MICCAI 2023, Proceedings. Ali, S., van der Sommen, F., van Eijnatten, M., Kolenbrander, I., Papież, B. W. & Jin, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 55-67 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14295 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection

    Bercea, C. I., Wiestler, B., Rueckert, D. & Schnabel, J. A., 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings. Greenspan, H., Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 293-303 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14224 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    4 Scopus citations

  • What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection

    Bercea, C. I., Rueckert, D. & Schnabel, J. A., 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings. Greenspan, H., Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 304-314 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14224 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    3 Scopus citations
  • 2022

    Anato-Functional Adaptive Regularisation for Deep Learned MR-Guided PET Reconstruction

    Corda-D'incan, G., Schnabel, J. A. & Reader, A. J., 2022, 2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference. Institute of Electrical and Electronics Engineers Inc., (2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging

    Chan, E., O’Hanlon, C., Marquez, C. A., Petalcorin, M., Mariscal-Harana, J., Gu, H., Kim, R. J., Judd, R. M., Chowienczyk, P., Schnabel, J. A., Razavi, R., King, A. P., Ruijsink, B. & Puyol-Antón, E., 2022, Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers - 13th International Workshop, STACOM 2022, Held in Conjunction with MICCAI 2022, Revised Selected Papers. Camara, O., Puyol-Antón, E., Suinesiaputra, A., Young, A., Qin, C., Sermesant, M. & Wang, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 101-111 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13593 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    1 Scopus citations

  • A variational Bayesian method for similarity learning in non-rigid image registration

    Grzech, D., Azampour, M. F., Glocker, B., Schnabel, J., Navab, N., Kainz, B. & Folgoc, L. L., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, p. 119-128 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    9 Scopus citations

  • Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data

    Machado, I., Puyol-Antón, E., Hammernik, K., Cruz, G., Ugurlu, D., Ruijsink, B., Castelo-Branco, M., Young, A., Prieto, C., Schnabel, J. A. & King, A. P., 2022, Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge - 12th International Workshop, STACOM 2021, Held in Conjunction with MICCAI 2021, Revised Selected Papers. Puyol Antón, E., Young, A., Suinesiaputra, A., Pop, M., Martín-Isla, C., Sermesant, M., Camara, O. & Lekadir, K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 12-20 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13131 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    2 Scopus citations

  • Single-Modality Supervised Joint PET-MR Image Reconstruction

    Corda-D'incan, G., Schnabel, J. A. & Reader, A. J., 2022, 2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference. Institute of Electrical and Electronics Engineers Inc., (2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access

  • The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images

    Ugurlu, D., Puyol-Antón, E., Ruijsink, B., Young, A., Machado, I., Hammernik, K., King, A. P. & Schnabel, J. A., 2022, Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge - 12th International Workshop, STACOM 2021, Held in Conjunction with MICCAI 2021, Revised Selected Papers. Puyol Antón, E., Young, A., Suinesiaputra, A., Pop, M., Martín-Isla, C., Sermesant, M., Camara, O. & Lekadir, K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 57-65 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13131 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
  • 2021

    AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-center LGE MRIs

    Li, L., Zimmer, V. A., Schnabel, J. A. & Zhuang, X., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. de Bruijne, M., de Bruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 557-566 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12906 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    23 Scopus citations

  • Automatic Re-orientation of 3D Echocardiographic Images in Virtual Reality Using Deep Learning

    Munroe, L., Sajith, G., Lin, E., Bhattacharya, S., Pushparajah, K., Simpson, J., Schnabel, J. A., Wheeler, G., Gomez, A. & Deng, S., 2021, Medical Image Understanding and Analysis - 25th Annual Conference, MIUA 2021, Proceedings. Papież, B. W., Yaqub, M., Jiao, J., Namburete, A. I. & Noble, J. A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 177-188 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12722 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • Comparison of classical machine learning deep learning to characterise fibrosis inflammation using quantitative MRI

    Chan, E., Kelly, M. & Schnabel, J. A., 13 Apr 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, p. 729-732 4 p. 9433962. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • Dense Syn-Net: Inter-Modal and Self-Guided Deep Learned PET-MR Reconstruction

    Corda-D'incan, G., Schnabel, J. A. & Reader, A. J., 2021, 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022. Tomita, H. & Nakamura, T. (eds.). Institute of Electrical and Electronics Engineers Inc., (2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    3 Scopus citations

  • Patient-specific 3d cellular automata nodule growth synthesis in lung cancer without the need of external data

    Manzanera, O. E. M., Ellis, S., Baltatzis, V., Nair, A., Le Folgoc, L., Desai, S., Glocker, B. & Schnabel, J. A., 13 Apr 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, p. 925-928 4 p. 9433893. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    2 Scopus citations

  • Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information

    Li, L., Zimmer, V. A., Ding, W., Wu, F., Huang, L., Schnabel, J. A. & Zhuang, X., 2021, Statistical Atlases and Computational Models of the Heart. MandMs and EMIDEC Challenges - 11th International Workshop, STACOM 2020, Held in Conjunction with MICCAI 2020, Revised Selected Papers. Puyol Anton, E., Pop, M., Sermesant, M., Campello, V., Lalande, A., Lekadir, K., Suinesiaputra, A., Camara, O. & Young, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 208-218 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12592 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    9 Scopus citations

  • Self-Guided and MR-Guided Deep-Learned Post-Reconstruction PET Processing

    Corda-D'incan, G., Schnabel, J. A. & Reader, A. J., 2021, 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022. Tomita, H. & Nakamura, T. (eds.). Institute of Electrical and Electronics Engineers Inc., (2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data

    Baltatzis, V., Le Folgoc, L., Ellis, S., Manzanera, O. E. M., Bintsi, K. M., Nair, A., Desai, S., Glocker, B. & Schnabel, J. A., 2021, Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data - 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Proceedings. Reyes, M., Henriques Abreu, P., Cardoso, J., Hajij, M., Zamzmi, G., Rahul, P. & Thakur, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 56-64 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12929 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    1 Scopus citations

  • The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification

    Baltatzis, V., Bintsi, K. M., Folgoc, L. L., Martinez Manzanera, O. E., Ellis, S., Nair, A., Desai, S., Glocker, B. & Schnabel, J. A., 2021, Predictive Intelligence in Medicine - 4th International Workshop, PRIME 2021, Held in Conjunction with MICCAI 2021, Proceedings. Rekik, I., Adeli, E., Park, S. H. & Schnabel, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 201-211 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12928 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    4 Scopus citations
  • 2020

    A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation

    Zimmer, V. A., Gomez, A., Skelton, E., Ghavami, N., Wright, R., Li, L., Matthew, J., Hajnal, J. V. & Schnabel, J. A., 2020, Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis - 1st International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Proceedings. Hu, Y., Licandro, R., Noble, J. A., Hutter, J., Melbourne, A., Aylward, S., Abaci Turk, E., Torrents Barrena, J. & Torrents Barrena, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 264-273 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12437 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    12 Scopus citations

  • Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time

    Magnetti, C., Zimmer, V., Ghavami, N., Skelton, E., Matthew, J., Lloyd, K., Hajnal, J., Schnabel, J. A. & Gomez, A., 2020, Medical Image Understanding and Analysis - 24th Annual Conference, MIUA 2020, Proceedings. Papiez, B. W., Namburete, A. I. L., Yaqub, M., Noble, J. A. & Yaqub, M. (eds.). Springer, p. 423-435 13 p. (Communications in Computer and Information Science; vol. 1248 CCIS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    1 Scopus citations

  • Iteration-Dependent Networks and Losses for Unrolled deep Learned FBSEM PET Image Reconstruction

    Corda-D'Incan, G., Schnabel, J. A. & Reader, A. J., 2020, 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020. Institute of Electrical and Electronics Engineers Inc., (2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    2 Scopus citations

  • Joint Left Atrial Segmentation and Scar Quantification Based on a DNN with Spatial Encoding and Shape Attention

    Li, L., Weng, X., Schnabel, J. A. & Zhuang, X., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 118-127 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12264 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    17 Scopus citations

  • Syn-Net for Synergistic Deep-Learned PET-MR Reconstruction

    Corda-D'Incan, G., Schnabel, J. A. & Reader, A. J., 2020, 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020. Institute of Electrical and Electronics Engineers Inc., (2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    5 Scopus citations
  • 2019

    Complete Fetal Head Compounding from Multi-view 3D Ultrasound

    Wright, R., Toussaint, N., Gomez, A., Zimmer, V., Khanal, B., Matthew, J., Skelton, E., Kainz, B., Rueckert, D., Hajnal, J. V. & Schnabel, J. A., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P.-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 384-392 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11766 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    9 Scopus citations

  • Deep Learning Based Approach to Quantification of PET Tracer Uptake in Small Tumors

    Dal Toso, L., Pfaehler, E., Boellaard, R., Schnabel, J. A. & Marsden, P. K., 2019, Machine Learning for Medical Image Reconstruction - 2nd International Workshop, MLMIR 2019, held in Conjunction with MICCAI 2019, Proceedings. Knoll, F., Maier, A., Rueckert, D. & Ye, J. C. (eds.). Springer, p. 181-192 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11905 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    1 Scopus citations

  • Detection and correction of cardiac MRI motion artefacts during reconstruction from k-space

    Oksuz, I., Clough, J., Ruijsink, B., Puyol-Antón, E., Bustin, A., Cruz, G., Prieto, C., Rueckert, D., King, A. P. & Schnabel, J. A., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P.-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 695-703 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11767 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    14 Scopus citations