Jonas Teuwen
11 papers · 2020–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Cross-Pollinator (9)
π
Conference Pioneer
Conferences
MIDL (4)
CVPR (3)
MICCAI (2)
ICCV (1)
ICLR (1)
Top co-authors
Keywords
magnetic resonance imaging
(3)
medical imaging
(2)
computed tomography
(2)
image reconstruction
(2)
inverse problem
(2)
convolutional neural network
(2)
deep learning
(1)
constrained optimization
(1)
cell detection
(1)
foundation model
(1)
self-supervised pretraining
(1)
joint optimization
(1)
computational pathology
(1)
coverage error
(1)
iterative reconstruction
(1)
unrolled optimization
(1)
sparse-shot learning
(1)
object localisation
(1)
exclusive cross-entropy
(1)
pixel classifier
(1)
Papers
Conditional Learned Reconstruction for Medical Imaging
MIDL 2026
TAP-CT: 3D Task-Agnostic Pretraining of Computed Tomography Foundation Models
MIDL 2026
End-to-End Co-Optimization of Adaptive $k$-space Sampling and Reconstruction for Dynamic MRI
MIDL 2026
Joint Supervised and Self-supervised Learning for MRI Reconstruction
MIDL 2025
Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model
MICCAI 2024
Task-Driven Wavelets using Constrained Empirical Risk Minimization
CVPR 2024
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
Recurrent Variational Network: A Deep Learning Inverse Problem Solver Applied to the Task of Accelerated MRI Reconstruction
CVPR 2022
Sparse-Shot Learning With Exclusive Cross-Entropy for Extremely Many Localisations
ICCV 2021
Kernel of CycleGAN as a principal homogeneous space
ICLR 2020