Ignacio Sarasua

Orcid: 0000-0002-1074-3903

According to our database1, Ignacio Sarasua authored at least 19 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Precision at Scale: Domain-Specific Datasets On-Demand.
CoRR, 2024

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

ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets.
CoRR, 2023

Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition.
Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, 2023

All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Joint Reconstruction and Parcellation of Cortical Surfaces.
Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

Is a PET All You Need? A Multi-modal Study for Alzheimer's Disease Using 3D CNNs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks.
Medical Image Anal., 2021

The Medical Segmentation Decathlon.
CoRR, 2021

TransforMesh: A Transformer Network for Longitudinal Modeling of Anatomical Meshes.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Geometric Deep Learning on Anatomical Meshes for the Prediction of Alzheimer's Disease.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Recalibrating 3D ConvNets With Project & Excite.
IEEE Trans. Medical Imaging, 2020

Discriminative and Generative Models for Anatomical Shape Analysison Point Clouds with Deep Neural Networks.
CoRR, 2020

Recalibration of Neural Networks for Point Cloud Analysis.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

'Project & Excite' Modules for Segmentation of Volumetric Medical Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features.
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images.
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019


  Loading...