Image-level supervision and self-training for transformer-based cross-modality tumor segmentation.
Medical Image Anal., 2024
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology.
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CoRR, 2024
Adapting Self-Supervised Learning for Computational Pathology.
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CoRR, 2024
Image-level supervision and self-training for transformer-based cross-modality tumor segmentation.
CoRR, 2023
M-GenSeg: Domain Adaptation for Target Modality Tumor Segmentation with Annotation-Efficient Supervision.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Towards annotation-efficient segmentation via image-to-image translation.
Medical Image Anal., 2022
Prediction of CD3 T-cell infiltration status in colorectal liver metastases: a radiomics-based imaging biomarker.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
Label Noise in Segmentation Networks: Mitigation Must Deal with Bias.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
Managing Class Imbalance in Multi-Organ CT Segmentation in Head and Neck Cancer Patients.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Boosting segmentation with weak supervision from image-to-image translation.
CoRR, 2019
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Learning normalized inputs for iterative estimation in medical image segmentation.
Medical Image Anal., 2018
Liver lesion segmentation informed by joint liver segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Metastatic liver tumour segmentation with a neural network-guided 3D deformable model.
Medical Biol. Eng. Comput., 2017
Liver lesion segmentation informed by joint liver segmentation.
CoRR, 2017
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation.
CoRR, 2017
On orthogonality and learning recurrent networks with long term dependencies.
Proceedings of the 34th International Conference on Machine Learning, 2017
The Importance of Skip Connections in Biomedical Image Segmentation.
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016
Metastatic liver tumour segmentation from discriminant Grassmannian manifolds.
CoRR, 2015
Metastatic Liver Tumor Segmentation Using Texture-Based Omni-Directional Deformable Surface Models.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2014