Eric Deutsch
Orcid: 0000-0002-8223-3697
According to our database1,
Eric Deutsch
authored at least 29 papers
between 2018 and 2024.
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Bibliography
2024
Pattern Recognit., 2024
2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation.
Proceedings of the Information Processing in Medical Imaging, 2023
2022
COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Medical Image Anal., 2021
MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network.
CoRR, 2021
Sparse convolutional context-aware multiple instance learning for whole slide image classification.
CoRR, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Proceedings of the MICCAI Workshop on Computational Pathology, 2021
SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021
Automatic Brain Tumor Segmentation with a Bridge-Unet Deeply Supervised Enhanced with Downsampling Pooling Combination, Atrous Spatial Pyramid Pooling, Squeeze-and-Excitation and EvoNorm.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Frontiers Comput. Neurosci., 2020
AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia.
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Deep Learning Based Registration Using Spatial Gradients and Noisy Segmentation Labels.
Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
Brain Tumor Segmentation with Self-ensembled, Deeply-Supervised 3D U-Net Neural Networks: A BraTS 2020 Challenge Solution.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Gene Expression High-Dimensional Clustering Towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019
2018
Proceedings of Workshop on Research Objects (RO2018), 2018
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018