Benjamin Billot
9 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (14) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze
π
Keyword Champion
(3)
π
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(5)
Learning Types Β· Machine Learning
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Application Areas
(3)
Learning Paradigms
(3)
Architectures
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Analysis
(1)
Clinical
(1)
Core AI
(1)
Core Methods
(1)
Learning Types Β· Deep Learning
(1)
Models
(1)
Keywords
biomedical imaging
(3)
domain generalization
(2)
synthetic data generation
(2)
domain adaptation
(1)
data augmentation
(1)
image synthesis
(1)
instance segmentation
(1)
domain randomization
(1)
generative adversarial network
(1)
3d segmentation
(1)
few-shot segmentation
(1)
capsule network
(1)
brain mri
(1)
mri segmentation
(1)
neural tracking
(1)
volumetric imaging
(1)
contrast-agnostic segmentation
(1)
bayesian segmentation
(1)
fetal mri
(1)
sub pixel tracking
(1)
Papers
Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose
MICCAI 2025
Learning General-purpose Biomedical Volume Representations using Randomized Synthesis
ICLR 2025
Robust Fetal Pose Estimation across Gestational Ages via Cross-Population Augmentation
MICCAI 2025
Spatial regularisation for improved accuracy and interpretability in keypoint-based registration
MICCAI 2025
AnyStar: Domain Randomized Universal Star-Convex 3D Instance Segmentation
WACV 2024
Network conditioning for synergistic learning on partial annotations
MIDL 2024
A Learning Strategy for Contrast-agnostic MRI Segmentation
MIDL 2020
Deep Reinforcement Learning for Subpixel Neural Tracking
MIDL 2019
Image Synthesis with a Convolutional Capsule Generative Adversarial Network
MIDL 2019