Glocker, Ben

Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects

Glocker, B., Robinson, R., Castro, D. C., Dou, Q., & Konukoglu, E. (2019) · arXiv

Advanced MRI Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 74

Optical flow estimation with uncertainties through dynamic MRFs

Glocker, B., Paragios, N., Komodakis, N., Tziritas, G., & Navab, N. (2008) · 2008 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Vision and ImagingMedical Image Segmentation Techniques

Cited by 69

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion

Hou, B., Alansary, A., McDonagh, S., Davidson, A., Rutherford, M., Hajnal, J. V., Rueckert, D., Glocker, B., & Kainz, B. (2017) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesAdvanced MRI Techniques and Applications

Cited by 68

Metrics reloaded: Recommendations for image analysis validation

Maier-Hein, L., Reinke, A., Godau, P., Tizabi, M. D., Buettner, F., Christodoulou, E., Glocker, B., Isensee, F., Kleesiek, J., Kozubek, M., et al. (2022) · arXiv

Cell Image Analysis TechniquesMedical Image Segmentation Techniques

Cited by 59

Mediastinal atlas creation from 3-D chest computed tomography images: Application to automated detection and station mapping of lymph nodes

Feuerstein, M., Glocker, B., Kitasaka, T., Nakamura, Y., Iwano, S., & Mori, K. (2012) · Medical Image Analysis

Medical Image Segmentation TechniquesAI in cancer detection

Cited by 43

Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging

Robinson, R., Valindria, V. V., Bai, W., Suzuki, H., Matthews, P. M., Page, C., Rueckert, D., & Glocker, B. (2017) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesCardiac Imaging and Diagnostics

Cited by 37

What's fair is… fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning

Mccradden, M., Odusi, O., Joshi, S., Akrout, I., Ndlovu, K., Glocker, B., Maicas, G., Liu, X., Mazwi, M., Garnett, T., et al. (2023) · 2023 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 33

Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores

Li, Z., Kamnitsas, K., Islam, M., Chen, C., & Glocker, B. (2022) · arXiv

Domain Adaptation and Few-Shot LearningImbalanced Data Classification Techniques

Cited by 16

Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data

Mitchell, J. R., Kamnitsas, K., Singleton, K. W., Whitmire, S. A., Clark-Swanson, K. R., Ranjbar, S., Rickertsen, C. R., Johnston, S. K., Egan, K. M., Rollison, D. E., et al. (2020) · Journal of Medical Imaging

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 15

Discriminative segmentation-based evaluation through shape dissimilarity

Konukoglu, E., Glocker, B., Ye, D. H., Criminisi, A., & Pohl, K. M. (2012) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesCell Image Analysis Techniques

Cited by 14