Eugene Vorontsov

Orcid: 0000-0002-4530-533X

According to our database1, Eugene Vorontsov authored at least 23 papers between 2014 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
The Liver Tumor Segmentation Benchmark (LiTS).
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Medical Image Anal., 2023

Image-level supervision and self-training for transformer-based cross-modality tumor segmentation.
CoRR, 2023

Virchow: A Million-Slide Digital Pathology Foundation Model.
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

2022
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, 2022

2021
The Medical Segmentation Decathlon.
CoRR, 2021

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

2019
Boosting segmentation with weak supervision from image-to-image translation.
CoRR, 2019

A large annotated medical image dataset for the development and evaluation of segmentation algorithms.
CoRR, 2019

The Liver Tumor Segmentation Benchmark (LiTS).
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

2018
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

2017
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

2016
The Importance of Skip Connections in Biomedical Image Segmentation.
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

2015
Metastatic liver tumour segmentation from discriminant Grassmannian manifolds.
CoRR, 2015

2014
Metastatic Liver Tumor Segmentation Using Texture-Based Omni-Directional Deformable Surface Models.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2014


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