Philippe Meyer

Orcid: 0000-0002-2430-8953

According to our database1, Philippe Meyer authored at least 14 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
TwinTrack: Post-hoc Multi-Rater Calibration for Medical Image Segmentation.
CoRR, April, 2026

Contrastive-to-Self-Supervised: A Two-Stage Framework for Script Similarity Learning.
CoRR, March, 2026

2025
Reverse engineering molecules from fingerprints through deterministic enumeration and generative models.
J. Cheminformatics, December, 2025

Spatiotemporal graph neural process for reconstruction, extrapolation, and classification of cardiac trajectories.
CoRR, September, 2025

Surface guided analysis of breast changes during post-operative radiotherapy by using a functional map framework.
CoRR, March, 2025

Large medical image database impact on generalizability of synthetic CT scan generation.
Comput. Biol. Medicine, 2025

PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

How to Evaluate Generated skVCT from MVCT? Optimal Parameters and Clinical Validation.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2023
An Explainable MRI-Radiomic Quantum Neural Network to Differentiate Between Large Brain Metastases and High-Grade Glioma Using Quantum Annealing for Feature Selection.
J. Digit. Imaging, December, 2023

Human Body Shapes Anomaly Detection and Classification Using Persistent Homology.
Algorithms, March, 2023

Deep Spatio-Temporal Multiplex Graph Learning for Cardiac Imaging Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023

2018
Survey on deep learning for radiotherapy.
Comput. Biol. Medicine, 2018

Automatic detection and segmentation of brain metastases on multimodal MR images with a deep convolutional neural network.
Comput. Biol. Medicine, 2018

SMART-MEDS: Development of a Medication Adherence App for Acute Coronary Syndrome Patients based on a Gamified Behaviour Change Model.
Proceedings of the AMIA 2018, 2018


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