Hoel Kervadec
9 papers · 2019–2026 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17) 🏆 Keyword Champion (2)
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Topic Evolution
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The Questioner
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(7)
Computer Vision
(4)
Deep Learning
(4)
Analysis
(4)
Domain-Specific
(3)
Learning Types · Machine Learning
(3)
Artificial Intelligence
(2)
Healthcare & Medicine
(2)
Architectures
(2)
Clinical
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Keywords
vessel segmentation
(2)
medical image segmentation
(2)
image segmentation
(2)
weakly supervised learning
(1)
transductive inference
(1)
image reconstruction
(1)
entropy minimization
(1)
promptable segmentation
(1)
deep learning
(1)
magnetic resonance imaging
(1)
domain shift
(1)
convolutional neural network
(1)
entropy regularization
(1)
foundation model
(1)
cross-entropy loss
(1)
few-shot learning
(1)
bounding box
(1)
computed tomography
(1)
few-shot segmentation
(1)
semantic segmentation
(1)
Papers
More is more: leveraging multi-rater information for whole slide images grading via virtual expert panel
MIDL 2026
PaSAL: A Deep Learning Pipeline for Pulmonary Artery-Vein Segmentation and Anatomical Labeling in Thoracic CT
MIDL 2026
Zero-shot capability of 2D SAM-family models for bone segmentation in CT scans
MIDL 2025
Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation
MIDL 2022
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!
MIDL 2021
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
CVPR 2021
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision
MIDL 2020
Laplacian pyramid-based complex neural network learning for fast MR imaging
MIDL 2020
Boundary loss for highly unbalanced segmentation
MIDL 2019