Marie Piraud

Orcid: 0000-0002-4917-2458

According to our database1, Marie Piraud authored at least 34 papers between 2017 and 2024.

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

2024
MISATO: machine learning dataset of protein-ligand complexes for structure-based drug discovery.
Nat. Comput. Sci., May, 2024

MultiOrg: A Multi-rater Organoid-detection Dataset.
CoRR, 2024

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023.
CoRR, 2024

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge.
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CoRR, 2024

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
CoRR, 2024


2023
Reporting electricity consumption is essential for sustainable AI.
Nat. Mac. Intell., November, 2023

Providing AI expertise as an infrastructure in academia.
Patterns, August, 2023

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

Panoptica - instance-wise evaluation of 3D semantic and instance segmentation maps.
CoRR, 2023

Framing image registration as a landmark detection problem for better representation of clinical relevance.
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa).
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.
CoRR, 2023

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.
CoRR, 2023

Primitive Simultaneous Optimization of Similarity Metrics for Image Registration.
CoRR, 2023


blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2023

2022
Introduction to AI and its medical applications: Crash Course for an audience with diverse scientific backgrounds.
Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, 2022

Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021
Semi-Implicit Neural Solver for Time-dependent Partial Differential Equations.
CoRR, 2021

A Hybrid Radiomics Approach to Modeling Progression-Free Survival in Head and Neck Cancers.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

Patient-Specific Virtual Spine Straightening and Vertebra Inpainting: An Automatic Framework for Osteoplasty Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Reliable Saliency Maps for Weakly-Supervised Localization of Disease Patterns.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

2019
Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation.
IEEE J. Biomed. Health Informatics, 2019

Towards quantitative imaging biomarkers of tumor dissemination: A multi-scale parametric modeling of multiple myeloma.
Medical Image Anal., 2019

Implicit Neural Solver for Time-dependent Linear PDEs with Convergence Guarantee.
CoRR, 2019

The Liver Tumor Segmentation Benchmark (LiTS).
CoRR, 2019

2018
Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function.
CoRR, 2018

DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes.
CoRR, 2018

Hierarchical Multi-class Segmentation of Glioma Images Using Networks with Multi-level Activation Function.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Multi-level Activation for Segmentation of Hierarchically-Nested Classes.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
W-Net for Whole-Body Bone Lesion Detection on ^68 Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017


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