Aleksei Tiulpin
8 papers · 2024–2026 · 5 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 · Silver
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(16)
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(2)
Computer Vision
(2)
Healthcare & Medicine
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Clinical
(2)
Optimization & Theory
(2)
Mathematics & Optimization
(1)
Analysis
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core AI
(1)
Core Methods
(1)
Domain-Specific
(1)
Learning Types
(1)
Optimization
(1)
Keywords
uncertainty quantification
(3)
calibration error
(3)
image segmentation
(1)
object detection
(1)
medical imaging
(1)
confidence calibration
(1)
medical image segmentation
(1)
gaussian process
(1)
bregman divergence
(1)
probabilistic prediction
(1)
kernel density estimation
(1)
error propagation
(1)
bayesian optimization
(1)
confidence interval
(1)
cross-entropy loss
(1)
soft label
(1)
focal loss
(1)
consistent estimator
(1)
proper scoring rule
(1)
asymptotic unbiasedness
(1)
Papers
CARE: Confidence-aware Ratio Estimation for Medical Biomarkers
MIDL 2026
Bayesian Optimization over Bounded Domains with the Beta Product Kernel
UAI 2025
Deep Learning-based Alignment Measurement in Knee Radiographs
MICCAI 2025
Image-Level Regression for Uncertainty-Aware Retinal Image Segmentation
WACV 2025
A Scanning Laser Ophthalmoscopy Image Database and Trustworthy Retinal Disease Detection Method
MICCAI 2024
Beyond Classification: Definition and Density-Based Estimation of Calibration in Object Detection
WACV 2024
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors
AISTATS 2024
SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression
MICCAI 2024