Enzo Battistella

Orcid: 0000-0001-7053-5666

According to our database1, Enzo Battistella authored at least 17 papers between 2018 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

2021
High Dimensional Graph Theoretical Approaches for Various Omics Data. (Approches de théorie des graphes d'ordre supérieur pour diverses données omiques).
PhD thesis, 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

Cancer Gene Profiling through Unsupervised Discovery.
CoRR, 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

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

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
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.
CoRR, 2018

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

Modelling and Simulating Extreme Opinion Diffusion.
Proceedings of the Agents and Artificial Intelligence - 10th International Conference, 2018

A Logical Approach to Extreme Opinion Diffusion.
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018


  Loading...