Ertunc Erdil
7 papers · 2016–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Academic Marathon (9) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer
π£
Hot Topic Early Bird
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Cross-Pollinator
(13)
Conferences
NIPS (3)
CVPR (1)
ICLR (1)
MICCAI (1)
WACV (1)
Top co-authors
Keywords
constrained optimization
(2)
contrastive learning
(1)
image segmentation
(1)
semi-supervised learning
(1)
binary classification
(1)
image restoration
(1)
bayesian inference
(1)
blind deconvolution
(1)
self-supervised learning
(1)
medical image segmentation
(1)
medical image classification
(1)
class imbalance
(1)
markov chain monte carlo
(1)
posterior distribution
(1)
roc curve
(1)
image deconvolution
(1)
deep neural network
(1)
human-ai collaboration
(1)
out-of-distribution detection
(1)
deep image prior
(1)
Papers
Conformal forecasting for surgical instrument trajectory
MICCAI 2025
Wiener Guided DIP for Unsupervised Blind Image Deconvolution
WACV 2023
Expert load matters: operating networks at high accuracy and low manual effort
NIPS 2023
Explicitly Minimizing the Blur Error of Variational Autoencoders
ICLR 2023
Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes
NIPS 2021
Contrastive learning of global and local features for medical image segmentation with limited annotations
NIPS 2020
MCMC Shape Sampling for Image Segmentation With Nonparametric Shape Priors
CVPR 2016