Eric Deutsch

Orcid: 0000-0002-8223-3697

According to our database1, Eric Deutsch authored at least 27 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2023
StructuRegNet: Structure-Guided Multimodal 2D-3D Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

X2Vision: 3D CT Reconstruction from Biplanar X-Rays with Deep Structure Prior.
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

End-to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Region-Guided CycleGANs for Stain Transfer in Whole Slide Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia.
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

Cancer Gene Profiling through Unsupervised Discovery.
CoRR, 2021

High-Particle Simulation of Monte-Carlo Dose Distribution with 3D ConvLSTMs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Weakly Supervised Pan-Cancer Segmentation Tool.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Exploring Deep Registration Latent Spaces.
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

Magnetic Resonance Imaging Virtual Histopathology from Weakly Paired Data.
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
Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation.
Frontiers Comput. Neurosci., 2020

AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia.
CoRR, 2020

Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation.
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

Multimodal Brain Tumor Classification.
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
U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets.
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
Reproducible big data science: A case study in continuous FAIRness.
Proceedings of Workshop on Research Objects (RO2018), 2018

Context Aware 3D CNNs for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018


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