Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation

Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations

Sudre, C. H., Li, W., Vercauteren, T., Ourselin, S., & Jorge Cardoso, M. (2017) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-67558-9_28 · Cited by 2,829 · see citing works

Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?

Bernard, O., Lalande, A., Zotti, C., Cervenansky, F., Yang, X., Heng, P.-A., Cetin, I., Lekadir, K., Camara, O., Gonzalez Ballester, M. A., et al. (2018) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2018.2837502 · Cited by 2,431 · see citing works

USAD: UnSupervised Anomaly Detection on Multivariate Time Series

Audibert, J., Michiardi, P., Guyard, F., Marti, S., & Zuluaga, M. A. (2020) · Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining · doi:10.1145/3394486.3403392 · Cited by 1,094 · cited 1× · see citing works

Untitled work

(2015) · neural information processing systems · Cited by 912 · see citing works

Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

Bergmann, P., Löwe, S., Fauser, M., Sattlegger, D., & Steger, C. T. (2019) · International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) · doi:10.5220/0007364503720380 · Cited by 819 · see citing works

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

Bai, W., Sinclair, M., Tarroni, G., Oktay, O., Rajchl, M., Vaillant, G., Lee, A. M., Aung, N., Lukaschuk, E., Sanghvi, M. M., et al. (2018) · Journal of Cardiovascular Magnetic Resonance · doi:10.1186/s12968-018-0471-x · Cited by 773 · see citing works

Anatomically constrained neural networks (ACNNS): application to cardiac image enhancement and segmentation

Oktay, O., Ferrante, E., Kamnitsas, K., Heinrich, M., Bai, W., Caballero, J., Cook, S. A., de Marvao, A., Dawes, T., O'Regan, D. P., et al. (2018) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2017.2743464 · Cited by 751 · cited 1× · see citing works

Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features

Isensee, F., Jaeger, P. F., Full, P. M., Ivo Wolf, A., Engelhardt, S., & Maier-Hein, K. H. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-75541-0_13 · Cited by 313 · see citing works

An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation

Baumgartner, C. F., Koch, L. M., Pollefeys, M., & Ender Konukoglu, A. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-75541-0_12 · Cited by 234 · see citing works

Fully Automated, Quality-Controlled Cardiac Analysis From CMR

Ruijsink, B., Anton, E. P., Öksüz, İ., Sinclair, M. D., Bai, W., Schnabel, J. A., Razavi, R., & King, A. P. (2019) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2019.05.030 · Cited by 185 · see citing works

Cardiac Segmentation With Strong Anatomical Guarantees

Painchaud, N., Skandarani, Y., Judge, T., Bernard, O., Lalande, A., & Jodoin, P. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2020.3003240 · Cited by 160 · see citing works

Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth

Valindria, V. V., Lavdas, I., Bai, W., Kamnitsas, K., Aboagye, E. O., Rockall, A. G., Rueckert, D., & Glocker, B. (2017) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2017.2665165 · Cited by 152 · see citing works

Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study

Robinson, R., Valindria, V. V., Bai, W., Oktay, O., Kainz, B., Suzuki, H., Sanghvi, M. M., Aung, N., Paiva, J. M., Zemrak, F., et al. (2019) · Journal of Cardiovascular Magnetic Resonance · doi:10.1186/s12968-019-0523-x · Cited by 120 · see citing works

Densely Connected Fully Convolutional Network for Short-Axis Cardiac Cine MR Image Segmentation and Heart Diagnosis Using Random Forest

Khened, M., Alex, V., & Krishnamurthi, G. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-75541-0_15 · Cited by 111 · see citing works

Evaluating Segmentation Error without Ground Truth

Kohlberger, T., Singh, V., Alvino, C., Bahlmann, C., & Grady, L. (2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-33415-3_65 · Cited by 102 · see citing works

Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors

Qian, Y., Luo, X., Ye, Q., Xu, L., & Zhuang, X. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-32245-8_62 · Cited by 93 · see citing works

Multi-atlas Propagation Whole Heart Segmentation from MRI and CTA Using a Local Normalised Correlation Coefficient Criterion

Zuluaga, M. A., Cardoso, M. J., Marc Modat, A., & Sebastien Ourselin, A. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-38899-6_21 · Cited by 87 · see citing works

Class-Balanced Deep Neural Network for Automatic Ventricular Structure Segmentation

Yang, X., Bian, C., Yu, L., Ni, D., & Heng, P. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-75541-0_16 · Cited by 64 · see citing works

Real-Time Prediction of Segmentation Quality

Robinson, R., Oktay, O., Bai, W., Valindria, V. V., Sanghvi, M. M., Aung, N., Paiva, J. M., Zemrak, F., Fung, K., Lukaschuk, E. I., et al. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-00937-3_66 · Cited by 61 · see citing works

Fast Fully-Automatic Cardiac Segmentation in MRI Using MRF Model Optimization, Substructures Tracking and B-Spline Smoothing

Grinias, E., & Tziritas, G. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-75541-0_10 · Cited by 50 · see citing works

Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with uncertainty-based quality-control

Puyol-Antón, E., Ruijsink, B., Baumgartner, C. F., Masci, P. G., Sinclair, M., Ender Konukoglu, A., Razavi, R., & King, A. P. (2020) · Journal of Cardiovascular Magnetic Resonance · doi:10.1186/s12968-020-00650-y · Cited by 48 · see citing works

Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with uncertainty-based quality-control

Anton, E. P., Ruijsink, B., Baumgartner, C. F., Masci, P. G., Sinclair, M. D., Ender Konukoglu, A., Razavi, R., & King, A. P. (2020) · Repository for Publications and Research Data (ETH Zurich) · doi:10.3929/ethz-b-000438599 · Cited by 39 · see citing works

Voxelwise atlas rating for computer assisted diagnosis: Application to congenital heart diseases of the great arteries

Zuluaga, M. A., Burgos, N., Mendelson, A., Taylor, A. M., & Sebastien Ourselin, A. (2015) · Medical Image Analysis · doi:10.1016/j.media.2015.09.001 · Cited by 15 · see citing works

Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study

Ng, M., Guo, F., Biswas, L., Petersen, S. E., Piechnik, S., Neubauer, S., & Wright, G. (2020) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2022.3232730 · Cited by 59 · see citing works

Decoding pathology: the role of computational pathology in research and diagnostics

Hölscher, D. L., & Bülow, R. D. (2024) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/s00424-024-03002-2 · Cited by 21 · see citing works

From Accuracy to Reliability and Robustness in Cardiac Magnetic Resonance Image Segmentation: A Review

Galati, F., Sebastien Ourselin, A., & Zuluaga, M. A. (2022) · Applied Sciences · doi:10.3390/app12083936 · Cited by 21 · see citing works

A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis

Machado, I. P., Anton, E. P., Hammernik, K., da Cruz, G. J. L., Uğurlu, D., Olakorede, I., Öksüz, İ., Ruijsink, B., Castelo-Branco, M. S., Young, A. A., et al. (2023) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2023.3321431 · Cited by 10 · see citing works

SegQC: a segmentation network-based framework for multi-metric segmentation quality control and segmentation error detection in volumetric medical images

Specktor-Fadida, B., Ben-Sira, L., Ben-Bashat, D., & Joskowicz, L. (2024) · arXiv · Cited by 9 · see citing works

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

Machado, I. P., Anton, E. P., Hammernik, K., da Cruz, G. J. L., Uğurlu, D., Ruijsink, B., Castelo-Branco, M. S., Young, A. A., Prieto, C., Schnabel, J. A., et al. (2022) · Lecture notes in computer science · doi:10.1007/978-3-030-93722-5_2 · Cited by 7 · see citing works

Using Out-of-Distribution Detection for Model Refinement in Cardiac Image Segmentation

Galati, F., & Zuluaga, M. A. (2022) · Lecture notes in computer science · doi:10.1007/978-3-030-93722-5_40 · Cited by 7 · see citing works

Left and Right Ventricular Segmentation Based on 3D Region-Aware U-Net

Huang, X., Chen, W., Liu, X., Wu, H., Wen, Z., & Shen, L. (2022) · Proceedings - IEEE Symposium on Computer-Based Medical Systems · doi:10.1109/cbms55023.2022.00031 · Cited by 5 · see citing works

Automatic quality control of segmentation results using early epochs as data augmentation: application to choroid plexuses

Yazdan-Panah, A., Stankoff, B., & Colliot, O. (2024) · Medical Imaging 2024: Image Processing · doi:10.1117/12.3006580 · Cited by 1 · see citing works

SingleStrip: Learning Skull-Stripping from a Single Labeled Example

Specktor‐Fadida, B., & Hoffmann, M. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-08009-7_5 · Cited by 1 · see citing works

ConfIC-RCA: Statistically Grounded Efficient Estimation of Segmentation Quality

Cosarinsky, M., Billot, R., Mansilla, L., Jimenez, G., Gaggión, N., Fu, G., Tirer, T., & Ferrante, E. (2025) · arXiv

From out-of-distribution detection to quality control

Lambert, B., Forbes, F., & Dojat, M. (2025) · Elsevier eBooks · doi:10.1016/b978-0-44-323761-4.00014-6

Evaluation of Projection Images for Visual Quality Control of Automated Left and Right Lung Segmentations on T1-Weighted MRI in Large-Scale Clinical Cohort Studies

Norajitra, T., Schlett, C. L., von Krüchten, R., Agarwal, P., Ravindran, A., Do, T. D., Kausch, L., Karrasch, S., Kauczor, H.-U., Maier-Hein, K., et al. (2025) · Tomography · doi:10.3390/tomography11120135

Robust Learning for Medical Image Segmentation

Galati, F. (2024) · doi:10.70675/49df4b56zc3d3z4169z8388zbcb5428e83ca

Using Radiomic Features to Detect Anatomical Errors and Assess Deep Learning-Based Left Ventricle Segmentation in Cardiac MRI

Ribeiro, M. A. O., Gutierrez, M. A., & Nunes, F. L. S. (2026) · Journal of Imaging Informatics in Medicine · doi:10.1007/s10278-026-01940-0

Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation

Wang, S., Tarroni, G., Qin, C., Mo, Y., Dai, C., Chen, C., Glocker, B., Guo, Y., Rueckert, D., & Bai, W. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-59719-1_9 · Cited by 27 · see citing works

Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references

Kang Li, B., Yu, L., & Heng, P. (2022) · Medical Image Analysis · doi:10.1016/j.media.2022.102426 · Cited by 30 · see citing works

A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapyPreprint

Jin, X., Hao, Y. W., Hilliard, J., Zhang, Z., Thomas, M. A., Li, H., Jha, A. K., & Hugo, G. D. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2305.11715

A quality assurance framework for routine monitoring of deep learning cardiac substructure computed tomography segmentation models in radiotherapy

Jin, X., Hao, Y. W., Hilliard, J., Zhang, Z., Thomas, M., Li, H., Jha, A. K., & Hugo, G. D. (2023) · Medical Physics · doi:10.1002/mp.16846 · Cited by 8 · see citing works

Automated Quality-Controlled Left Heart Segmentation from 2D Echocardiography

Geven, B. W. M., Zhao, D., Creamer, S. A., Dillon, J. R., Quill, G. M., Edwards, N. C., Legget, M. E., Doughty, R. N., Young, A. A., Gamage, T. P. B., et al. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-52448-6_10 · Cited by 1 · see citing works