Eric Marcus
4 papers · 2024–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(11)
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Computer Vision
(2)
Deep Learning
(2)
Machine Learning
(2)
Domain-Specific
(2)
Optimization & Theory · Machine Learning
(2)
Healthcare & Medicine
(1)
Architectures
(1)
Clinical
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Processing
(1)
Techniques
(1)
Keywords
medical imaging
(2)
vision transformer
(1)
conformal prediction
(1)
wavelet transform
(1)
constrained optimization
(1)
convolutional neural network
(1)
foundation model
(1)
self-supervised pretraining
(1)
computed tomography
(1)
coverage error
(1)
pixel classifier
(1)
contour prediction
(1)
image segmentation
(1)
task-agnostic representation
(1)
Papers
TAP-CT: 3D Task-Agnostic Pretraining of Computed Tomography Foundation Models
MIDL 2026
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms
CVPR 2024
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
MICCAI 2024
Task-Driven Wavelets using Constrained Empirical Risk Minimization
CVPR 2024