Christian F. Baumgartner
10 papers · 2018–2026 · 3 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
Jump to papers ↓+2 more ↓ Show less ↑
🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver
🚀
Conference Pioneer
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Keywords
logistic regression
(1)
medical imaging
(1)
multi-label classification
(1)
interpretable machine learning
(1)
feature attribution
(1)
medical image segmentation
(1)
neural network interpretation
(1)
medical image analysis
(1)
saliency map
(1)
probabilistic segmentation
(1)
deep learning model
(1)
sparse linear model
(1)
interpretable model
(1)
counterfactual explanation
(1)
subgroup discovery
(1)
alzheimer disease detection
(1)
wasserstein generative adversarial network
(1)
diabetic retinopathy
(1)
fundus image
(1)
systematic failure
(1)
Papers
SEG4SEG: Identifying Systematic Failure Modes in Segmentation by Subgroup Discovery Methods
MIDL 2026
Mind the Detail: Uncovering Clinically Relevant Image Details in Accelerated MRI with Semantically Diverse Reconstructions
MICCAI 2025
Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification
MICCAI 2025
Subgroup Performance Analysis in Hidden Stratifications
MICCAI 2025
Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach
MIDL 2024
PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration
MICCAI 2024
Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy
MICCAI 2024
Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals
MIDL 2023
Sparse Activations for Interpretable Disease Grading
MIDL 2023
Visual Feature Attribution Using Wasserstein GANs
CVPR 2018