Laurin Lux
8 papers · 2024–2026 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(15)
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Computer Vision
(4)
Deep Learning
(4)
Healthcare & Medicine
(4)
Clinical
(4)
Artificial Intelligence
(2)
Machine Learning
(2)
Analysis
(2)
Architectures
(2)
Processing
(2)
Application Areas
(1)
Core AI
(1)
Domain-Specific
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Keywords
image segmentation
(2)
transfer learning
(1)
domain adaptation
(1)
model calibration
(1)
object detection
(1)
medical imaging
(1)
class imbalance
(1)
persistent homology
(1)
relation prediction
(1)
graph transformer
(1)
mamba architecture
(1)
vision-language model
(1)
graph attention network
(1)
zero-shot classification
(1)
whole slide image
(1)
synthetic image generation
(1)
survival prediction
(1)
spatiotemporal model
(1)
lesion detection
(1)
diabetic retinopathy
(1)
Papers
Beyond scalar losses: calibrating segmentation models via gradient vector field surgery
MIDL 2026
From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis
MIDL 2026
SegMaST: Mamba-based Spatio-Temporal Modeling to Improve Longitudinal Disease Detection and Segmentation
MIDL 2026
Synthetic Vasculature and Pathology Enhance Vision-Language Model Reasoning
MIDL 2026
Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers
WACV 2025
Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis
MICCAI 2025
Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation
ICLR 2025
Topologically faithful multi-class segmentation in medical images
MICCAI 2024