Centre for the Developing Brain

2024

Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders

Dahan, S., Williams, L., Guo, Y., Rueckert, D. & Robinson, E., 2024, Proceedings of Machine Learning Research. Vol. 106. p. 1-20

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

Open Access

The Multiscale Surface Vision Transformer

Dahan, S., Williams, L., Rueckert, D. & Robinson, E., 2024, Proceedings of Machine Learning Research. Vol. 106. p. 1-17

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

Open Access

Towards automated multi-regional lung parcellation for 0.55-3T 3D T2w fetal MRI

Uus, A., Avena Zampieri, C., Downes, F., Egloff Collado, A., Hall, M., Davidson, J. R., Payette, K., Aviles Verdera, J., Grigorescu, I., Hajnal, J., Deprez, M., Aertsen, M., Hutter, J., Rutherford, M., Deprest, J. & Story, L., Jul 2024, (Accepted/In press) PIPPI MICCAI Workshop 2024.

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

Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations

Ma, Q., Robinson, E., Kainz, B. & Rueckert, D., 2024, (Accepted/In press) Medical Image Computing and Computer Assited Intervention (MICCAI 2024).

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

Open Access

2023

560 Fetal craniofacial biometry: feasibility of deep 3D MRI phenotyping in a cohort with Down syndrome using atlas-based label propagation

Matthew, J., Uus, A., Gartner, A., Cordero-Grande, L., Kyriakopoulou, V., Cromb, D., Wright, R., O'Muircheartaigh, J., Baburamani, A., Malamateniou, C., Hutter, J., Edwards, D., Hajnal, J., Rutherford, M. & Deprez, M., 2023, British Association of Perinatal Medicine and Neonatal Society.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

A Deep Learning Approach for Segmenting the Subplate and Proliferative Zones in Fetal Brain MRI

Sousa, H. S., Fukami-Gartner, A., Uus, A. U., Kyriakopoulou, V., Ziukaite, B., Anzak, I., O’Muircheartaigh, J., Hajnal, J. V., Tournier, J. D., Hammers, A., Rutherford, M. A. & Deprez, M., 12 Oct 2023, Perinatal, Preterm and Paediatric Image Analysis - 8th International Workshop, PIPPI 2023, Held in Conjunction with MICCAI 2023, Proceedings. Link-Sourani, D., Abaci Turk, E., Macgowan, C., Hutter, J., Hutter, J., Melbourne, A., Licandro, R. & Licandro, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 17-27 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14246 LNCS).

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

An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field

Payette, K., Uus, A., Verdera, J. A., Zampieri, C. A., Hall, M., Story, L., Deprez, M., Rutherford, M. A., Hajnal, J. V., Ourselin, S., Tomi-Tricot, R. & Hutter, J., 1 Oct 2023, In: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 14226, p. 358-367 10 p.

Research output: Contribution to journal › Conference paper › peer-review

Open Access

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21 Downloads (Pure)

Combined Quantitative T2* Map and Structural T2-Weighted Tissue-Specific Analysis for Fetal Brain MRI: Pilot Automated Pipeline

Uus, A. U., Hall, M., Payette, K., Hajnal, J. V., Deprez, M., Rutherford, M. A., Hutter, J. & Story, L., 2023, Perinatal, Preterm and Paediatric Image Analysis - 8th International Workshop, PIPPI 2023, Held in Conjunction with MICCAI 2023, Proceedings. Link-Sourani, D., Abaci Turk, E., Macgowan, C., Hutter, J., Hutter, J., Melbourne, A., Licandro, R. & Licandro, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 28-38 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14246 LNCS).

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

2 Citations (Scopus)

Combined quantitative T2* map and structural T2-weighted tissue-specific analysis for fetal brain MRI: pilot automated pipeline

Uus, A., Hall, M., Payette, K., Hajnal, J., Deprez, M., Rutherford, M., Hutter, J. & Story, L., Aug 2023, (Accepted/In press) Perinatal, Preterm and Paediatric Image Analysis 8th International Workshop PIPPI 2023, Held in Conjunction with MICCAI 2023, Vancouver, October 12, 2023.

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

Fetal growth restriction: How reliable is information available to patients on Google? A systematic review

Hall, M., Wu, L., Nanda, S., Bakalis, S., Shennan, A. & Story, L., 2023, European Journal of Obstetrics & Gynaecology and Reproductive Biology.

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

Quantitative T2 Relaxometry in Fetal Brain: Validation Using Modified FaBiaN Fetal Brain MRI Simulator

Bhattacharya, S., Price, A., Uus, A., Sousa, H., Marenzana, M., Colford, K., Murkin, P., Lee, M., Grande, L. C., Teixeira, R. P. A. G., Malik, S. & Deprez, M., 12 Oct 2023, Perinatal, Preterm and Paediatric Image Analysis: 8th International Workshop, PIPPI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. Springer Science and Business Media Deutschland GmbH, Vol. 14246. p. 39-49

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

Open Access

1 Citation (Scopus)

Real-Time 2-D Coherent Multi-Transducer Ultrasound Imaging in Vivo

Mazierli, D., Ramalli, A., Dallai, A., Skelton, E., Hajnal, J. V., Tortoli, P. & Peralta, L., 2023, IUS 2023 - IEEE International Ultrasonics Symposium, Proceedings. IEEE Computer Society, (IEEE International Ultrasonics Symposium, IUS).

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

Synthesising Brain Iron Maps from Quantitative Magnetic Resonance Images Using Interpretable Generative Adversarial Networks

Munroe, L., Deprez, M., Michaelides, C., Parkes, H. G., Geraki, K., Herlihy, A. H. & So, P. W., 2023, 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, Proceedings. Woo, J., Hering, A., Silva, W., Li, X., Fu, H., Liu, X., Xing, F., Purushotham, S., Mathai, T. S., Mukherjee, P., De Grauw, M., Beets Tan, R., Corbetta, V., Kotter, E., Reyes, M., Baumgartner, C. F., Li, Q., Leahy, R., Dong, B., Chen, H., Huo, Y., Lv, J., Xu, X., Li, X., Mahapatra, D., Cheng, L., Petitjean, C. & Presles, B. (eds.). Springer Science and Business Media Deutschland GmbH, p. 214-226 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14394 LNCS).

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

2022

A Deep-Discrete Learning Framework for Spherical Surface Registration

Suliman, M. A., Williams, L. Z. J., Fawaz, A. & Robinson, E. C., 17 Sept 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 119-129 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13436 LNCS).

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

Open Access

File

4 Citations (Scopus)

43 Downloads (Pure)

A Deep Generative Model of Neonatal Cortical Surface Development

Fawaz, A., Williams, L. Z. J., Edwards, A. D. & Robinson, E. C., 2022, Medical Image Understanding and Analysis - 26th Annual Conference, MIUA 2022, Proceedings. Yang, G., Aviles-Rivero, A., Roberts, M. & Schönlieb, C-B. (eds.). Springer Science and Business Media Deutschland GmbH, p. 469-481 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13413 LNCS).

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

Open Access

File

68 Downloads (Pure)

A Fast Anatomical and Quantitative MRI Fetal Exam at Low Field

Aviles, J., Colford, K., Hall, M., Marenzana, M., Uus, A., Giles, S., Bridgen, P., Rutherford, M. A., Malik, S. J., Hajnal, J. V., Tomi-Tricot, R. & Hutter, J., 2022, Perinatal, Preterm and Paediatric Image Analysis - 7th International Workshop, PIPPI 2022, Held in Conjunction with MICCAI 2022, Proceedings. Licandro, R., Licandro, R., Melbourne, A., Hutter, J., Abaci Turk, E. & Macgowan, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 13-24 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13575 LNCS).

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

2 Citations (Scopus)

Automated Multi-class Fetal Cardiac Vessel Segmentation in Aortic Arch Anomalies Using T2-Weighted 3D Fetal MRI

Ramirez Gilliland, P., Uus, A., van Poppel, M. P. M., Grigorescu, I., Steinweg, J. K., Lloyd, D. F. A., Pushparajah, K., King, A. P. & Deprez, M., 2022, Perinatal, Preterm and Paediatric Image Analysis - 7th International Workshop, PIPPI 2022, Held in Conjunction with MICCAI 2022, Proceedings. Licandro, R., Licandro, R., Melbourne, A., Hutter, J., Abaci Turk, E. & Macgowan, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 82-93 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13575 LNCS).

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

Experimental demonstration of the coherent use of two sparse arrays for 3-D imaging

Peralta, L., Mazierli, D., Gomez, A., Hajnal, J. V., Tortoli, P. & Ramalli, A., 2022, IUS 2022 - IEEE International Ultrasonics Symposium. IEEE Computer Society Press, (IEEE International Ultrasonics Symposium, IUS; vol. 2022-October).

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

1 Citation (Scopus)

Fetal Blood Flow Assessment Using Motion-Robust Whole Heart 4D Cine MRI

Steinweg, J. K., Roberts, T., van Poppel, M., Lloyd, D., Razavi, R., Hajnal, J. & Pushparajah, K., 12 Feb 2022, The 54th Annual Meeting of the German Society for Pediatric Cardiology (DGPK). The Thoracic and Cardiovascular Surgeon: Thieme, Vol. 70.

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

Open Access

Fetal Cortex Segmentation with Topology and Thickness Loss Constraints

Li, L., Ma, Q., Li, Z., Ouyang, C., Zhang, W., Price, A., Kyriakopoulou, V., Grande, L. C., Makropoulos, A., Hajnal, J., Rueckert, D., Kainz, B. & Alansary, A., 2022, Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging - 1st International Workshop, EPIMI 2022, 12th International Workshop, ML-CDS 2022, 2nd International Workshop, TDA4BiomedicalImaging, Held in Conjunction with MICCAI 2022, Proceedings. Baxter, J. S. H., Rekik, I., Eagleson, R., Zhou, L., Syeda-Mahmood, T., Wang, H. & Hajij, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 123-133 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13755 LNCS).

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

1 Citation (Scopus)

Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts

Uus, A. U., Ayub, M. U., Gartner, A., Kyriakopoulou, V., Pietsch, M., Grigorescu, I., Christiaens, D., Hutter, J., Grande, L. C., Price, A., Batalle, D., Counsell, S., Hajnal, J. V., Edwards, A. D., Rutherford, M. A. & Deprez, M., 22 Sept 2022, Perinatal, Preterm and Paediatric Image Analysis - 7th International Workshop, PIPPI 2022, Held in Conjunction with MICCAI 2022, Proceedings. Licandro, R., Licandro, R., Melbourne, A., Hutter, J., Abaci Turk, E. & Macgowan, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 94-104 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13575 LNCS).

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

1 Citation (Scopus)

Specific Delay Multiply and Sum Beamforming for 2-D and 3-D Coherent Multi-Transducer Ultrasound imaging

Peralta Pereira, L., Mazierli, D., Hajnal, J., Tortoli, P. & Ramalli, A., 2022, (Accepted/In press) IUS 2022 - International Ultrasonics Symposium, Proceedings. IEEE

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

Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis

Dahan, S., Fawaz, A., Williams, L., Yang, C., Coalson, T. S., Glasser, M. F., Edwards, D., Rueckert, D. & Robinson, E., 2022, Proceedings of Machine Learning Research. Vol. 172. p. 1-22

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

Open Access

8 Citations (Scopus)

2021

Anisotropy in the Human Placenta in Pregnancies Complicated by Fetal Growth Restriction

Slator, P. J., Ho, A., Bakalis, S., Jackson, L., Chappell, L. C., Alexander, D. C., Hajnal, J. V., Rutherford, M. & Hutter, J., 2021, Anisotropy Across Fields and Scales. Özarslan, E., Schultz, T., Zhang, E. & Fuster, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 263-276 14 p. (Mathematics and Visualization).

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

Open Access

1 Citation (Scopus)

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI

Li, L., Sinclair, M., Makropoulos, A., Hajnal, J. V., David Edwards, A., Kainz, B., Rueckert, D. & Alansary, A., 2021, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis - 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Sudre, C. H., Licandro, R., Baumgartner, C., Melbourne, A., Dalca, A., Hutter, J., Tanno, R., Abaci Turk, E., Van Leemput, K., Torrents Barrena, J., Wells, W. M. & Macgowan, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 221-230 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12959 LNCS).

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

6 Citations (Scopus)

Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps

Budd, S., Sinclair, M., Day, T., Vlontzos, A., Tan, J., Liu, T., Matthew, J., Skelton, E., Simpson, J., Razavi, R., Glocker, B., Rueckert, D., Robinson, E. C. & Kainz, B., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. 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. 207-217 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12907 LNCS).

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

8 Citations (Scopus)

Detection of Injury and Automated Triage of Preterm Neonatal MRI Using Patch-Based Gaussian Processes

Macleod, R., Counsell, S., Carmichael, D., Dimitrova, R., Pietsch, M., Edwards, A. D., Rutherford, M. A. & O’Muircheartaigh, J., 2021, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis - 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Sudre, C. H., Licandro, R., Baumgartner, C., Melbourne, A., Dalca, A., Hutter, J., Tanno, R., Abaci Turk, E., Van Leemput, K., Torrents Barrena, J., Wells, W. M. & Macgowan, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 231-241 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12959 LNCS).

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

Distinguishing Healthy Ageing from Dementia: A Biomechanical Simulation of Brain Atrophy Using Deep Networks

Silva, M. D., Sudre, C. H., Garcia, K., Bass, C., Cardoso, M. J. & Robinson, E. C., 2021, Machine Learning in Clinical Neuroimaging - 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Proceedings. Abdulkadir, A., Kia, S. M., Habes, M., Kumar, V., Rondina, J. M., Tax, C., Tax, C. & Wolfers, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 13-22 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13001 LNCS).

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

Effects of Aberration on Super-Resolution Ultrasound Imaging using Microbubbles

Peralta, L., Hajnal, J. V., Tang, M. X. & Christensen-Jeffries, K., 2021, IEEE International Ultrasonics Symposium. (IEEE International Ultrasonics Symposium, IUS).

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

Feasibility of 3-D Coherent Multi-Transducer Ultrasound Imaging with Two Sparse Arrays

Peralta Pereira, L., Ramalli, A., Christensen-Jeffries, K., Harput, S., Tortoli, P. & Hajnal, J., Sept 2021, (Accepted/In press) IEEE International Ultrasonics Symposium. IEEE

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

Geometric Deep Learning of the Human Connectome Project Multimodal Cortical Parcellation

Williams, L. Z. J., Fawaz, A., Glasser, M. F., Edwards, A. D. & Robinson, E. C., 2021, Machine Learning in Clinical Neuroimaging - 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Proceedings. Abdulkadir, A., Kia, S. M., Habes, M., Kumar, V., Rondina, J. M., Tax, C., Tax, C. & Wolfers, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 103-112 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13001 LNCS).

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

5 Citations (Scopus)

Improving Phenotype Prediction Using Long-Range Spatio-Temporal Dynamics of Functional Connectivity

Dahan, S., Williams, L. Z. J., Rueckert, D. & Robinson, E. C., 2021, Machine Learning in Clinical Neuroimaging - 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Proceedings. Abdulkadir, A., Kia, S. M., Habes, M., Kumar, V., Rondina, J. M., Tax, C., Tax, C. & Wolfers, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 145-154 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13001 LNCS).

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

7 Citations (Scopus)

PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction

Ma, Q., Robinson, E. C., Kainz, B., Rueckert, D. & Alansary, A., 2021, Machine Learning in Clinical Neuroimaging - 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Proceedings. Abdulkadir, A., Kia, S. M., Habes, M., Kumar, V., Rondina, J. M., Tax, C., Tax, C. & Wolfers, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 73-81 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13001 LNCS).

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

17 Citations (Scopus)

Predicting preterm birth using multimodal fetal imaging

Heinsalu, R., Williams, L., Ranjan, A., Avena Zampieri, C., Uus, A., Robinson, E., Rutherford, M., Story, L. & Hutter, J., 25 Jul 2021, (Accepted/In press) Proceedings of the MICCAI PIPPI workshop. Springer

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

Spatio-Temporal Atlas of Normal Fetal Craniofacial Feature Development and CNN-Based Ocular Biometry for Motion-Corrected Fetal MRI

Uus, A., Matthew, J., Grigorescu, I., Jupp, S., Grande, L. C., Price, A., Hughes, E., Patkee, P., Kyriakopoulou, V., Wright, R., Roberts, T., Hutter, J., Pietsch, M., Hajnal, J. V., Edwards, A. D., Rutherford, M. A. & Deprez, M., 2021, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis - 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Sudre, C. H., Licandro, R., Baumgartner, C., Melbourne, A., Dalca, A., Hutter, J., Tanno, R., Abaci Turk, E., Van Leemput, K., Torrents Barrena, J., Wells, W. M. & Macgowan, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 168-178 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12959 LNCS).

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

6 Citations (Scopus)

Uncertainty-Aware Deep Learning Based Deformable Registration

Grigorescu, I., Uus, A., Christiaens, D., Cordero-Grande, L., Hutter, J., Batalle, D., Edwards, A. D., Hajnal, J. V., Modat, M. & Deprez, M., 2021, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis - 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Sudre, C. H., Licandro, R., Baumgartner, C., Melbourne, A., Dalca, A., Hutter, J., Tanno, R., Abaci Turk, E., Van Leemput, K., Torrents Barrena, J., Wells, W. M. & Macgowan, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 54-63 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12959 LNCS).

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

2 Citations (Scopus)

Unsupervised Human Pose Estimation through Transforming Shape Templates

Schmidtke, L., Vlontzos, A., Ellershaw, S., Lukens, A., Arichi, T. & Kainz, B., 2021, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 2484-2494 11 p.

Research output: Contribution to journal › Conference paper › peer-review

25 Citations (Scopus)

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 paper › peer-review

11 Citations (Scopus)

Automatic Detection of Neonatal Brain Injury on MRI

Macleod, R., O’Muircheartaigh, J., Edwards, A. D., Carmichael, D., Rutherford, M. & Counsell, S. J., 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. 324-333 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 paper › peer-review

Coherent Multi-Transducer Ultrasound Imaging: First in vivo results

Peralta, L., Zimmer, V. A., Christensen-Jeffries, K., Ramalli, A., Skelton, E., Matthew, J., Simpson, J. & V Hajnal, J., 7 Sept 2020, IUS 2020 - International Ultrasonics Symposium, Proceedings. IEEE Computer Society, 9251837. (IEEE International Ultrasonics Symposium, IUS; vol. 2020-September).

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

6 Citations (Scopus)

Coherent Multi-Transducer Ultrasound Imaging: first in vivo results

Peralta Pereira, L., Zimmer, V., Christensen-Jeffries, K., Ramalli, A., Skelton, E., Matthew, J., Simpson, J. & Hajnal, J., 2020, (Accepted/In press) 2020 IEEE International Ultrasonics Symposium, IUS 2020. IEEE

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

Data-Driven Multi-contrast Spectral Microstructure Imaging with InSpect

Slator, P. J., Hutter, J., Marinescu, R. V., Palombo, M., Jackson, L. H., Ho, A., Chappell, L. C., Rutherford, M., Hajnal, J. V. & Alexander, D. C., 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. 375-385 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12266 LNCS).

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

3 Citations (Scopus)

Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI

Uus, A., Steinweg, J. K., Ho, A., Jackson, L. H., Hajnal, J. V., Rutherford, M. A., Deprez, M. & Hutter, J., 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. 222-232 11 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 paper › peer-review

9 Citations (Scopus)

Diffusion tensor driven image registration: a deep learning approach

Grigorescu, I., Uus, A., Christiaens, D., Cordero-Grande, L., Hutter, J., Edwards, A. D., Hajnal, J. V., Modat, M. & Deprez, M., 1 Jan 2020, Biomedical Image Registration - 9th International Workshop, WBIR 2020, Proceedings. Spiclin, Z., McClelland, J., Kybic, J. & Goksel, O. (eds.). SPRINGER, p. 131-140 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12120 LNCS).

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

Open Access

3 Citations (Scopus)

Harmonised Segmentation of Neonatal Brain MRI: A Domain Adaptation Approach

Grigorescu, I., Cordero-Grande, L., Batalle, D., Edwards, A. D., Hajnal, J. V., Modat, M. & Deprez, M., 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. 253-263 11 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 paper › peer-review

1 Citation (Scopus)

ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping

Bass, C., da Silva, M., Sudre, C. H., Tudosiu, D., Smith, S. M. & Robinson, E., 6 Dec 2020, Advances in Neural Information Processing Systems. Vol. 33.

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

Open Access

23 Citations (Scopus)

Multi-channel registration for diffusion mri: longitudinal analysis for the neonatal brain

Uus, A., Pietsch, M., Grigorescu, I., Christiaens, D., Tournier, J. D., Grande, L. C., Hutter, J., Edwards, D., Hajnal, J. & Deprez, M., 1 Jan 2020, Biomedical Image Registration - 9th International Workshop, WBIR 2020, Proceedings. Spiclin, Z., McClelland, J., Kybic, J. & Goksel, O. (eds.). SPRINGER, p. 111-121 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12120 LNCS).

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

Open Access

2 Citations (Scopus)

Surface Agnostic Metrics for Cortical Volume Segmentation and Regression

Budd, S., Patkee, P., Baburamani, A., Rutherford, M., Robinson, E. C. & Kainz, B., 2020, Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology - 3rd International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Proceedings. Kia, S. M., Mohy-ud-Din, H., Abdulkadir, A., Bass, C., Habes, M., Rondina, J. M., Tax, C., Wang, H., Wolfers, T., Rathore, S. & Ingalhalikar, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-12 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12449 LNCS).

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

1 Citation (Scopus)

2019

A Novel Spatial-Angular Domain Regularisation Approach for Restoration of Diffusion MRI

Mella, A., Daducci, A., Orlandi, G., Thiran, J. P., Deprez, M. & Bach Cuadra, M., 3 May 2019, (E-pub ahead of print) Mathematics and Visualization. 226249 ed. p. 43-53 11 p. (Mathematics and Visualization).

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

1 Citation (Scopus)

Coherent multi-transducer ultrasound imaging in the presence of aberration

Peralta, L., Gomez, A., Hajnal, J. V. & Eckersley, R., 16 Feb 2019, Medical Imaging 2019: Ultrasonic Imaging and Tomography. Byram, B. C. & Ruiter, N. V. (eds.). SPIE, Vol. 10955. 109550O

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

13 Citations (Scopus)

Centre for the Developing Brain

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