Research output per year
Research output per year
Search results
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2023
Learning from multiple annotators for medical image segmentation
Zhang, L., Tanno, R., Xu, M., Huang, Y., Bronik, K., Jin, C., Jacob, J., Zheng, Y., Shao, L., Ciccarelli, O., Barkhof, F. & Alexander, D., Jun 2023, In: Pattern Recognition. 138, 109400.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure) -
2021
Recovering from Missing Data in Population Imaging – Cardiac MR Image Imputation via Conditional Generative Adversarial Nets
Xia, Y., Zhang, L., Ravikumar, N., Attar, R., Piechnik, S., Neubauer, S., Petersen, S. & Frangi, A., Jan 2021, In: Medical Image Analysis. 67, 17 p., 101812.Research output: Contribution to journal › Article › peer-review
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2020
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
Zhang, L., Tanno, R., Xu, M., Jin, C., Jacob, J., Ciccarelli, O., Barkhof, F. & Alexander, D. C., 2020, Advances in Neural Information Processing Systems (NeurIPS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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2019
Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets
Zhang, L., Pereanez, M., Bowles, C., Piechnik, S., Neubauer, S., Petersen, S. & Frangi, A., 2019, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution