Jonas Teuwen

Orcid: 0000-0002-1825-1428

According to our database1, Jonas Teuwen authored at least 54 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge.
IEEE Trans. Medical Imaging, August, 2024

Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI.
Medical Image Anal., February, 2024

Improving lesion volume measurements on digital mammograms.
Medical Image Anal., 2024

IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data.
Inf. Fusion, 2024

End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI.
CoRR, 2024

Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT.
CoRR, 2024

To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection.
CoRR, 2024

Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-Guided Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Task-Driven Wavelets Using Constrained Empirical Risk Minimization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
JSSL: Joint Supervised and Self-supervised Learning for MRI Reconstruction.
CoRR, 2023

vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems.
CoRR, 2023

Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism.
CoRR, 2023

Constrained Empirical Risk Minimization: Theory and Practice.
CoRR, 2023

IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data.
CoRR, 2023

On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction.
CoRR, 2023

Deep Cardiac MRI Reconstruction with ADMM.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer.
Medical Image Anal., 2022

DIRECT: Deep Image REConstruction Toolkit.
J. Open Source Softw., 2022

FlowNet-PET: Unsupervised Learning to Perform Respiratory Motion Correction in PET Imaging.
CoRR, 2022

Deep learning-based breast tissue segmentation in digital mammography: generalization across views and vendors.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Tumor tracking in 4D CT images for adaptive radiotherapy.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Mammary duct detection using self-supervised encoders.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction.
IEEE Trans. Medical Imaging, 2021

Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation.
Medical Image Anal., 2021

Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction.
CoRR, 2021

Subpixel object segmentation using wavelets and multi resolution analysis.
CoRR, 2021

WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need.
CoRR, 2021

Deep MRI Reconstruction with Radial Subsampling.
CoRR, 2021

DeepSMILE: Self-supervised heterogeneity-aware multiple instance learning for DNA damage response defect classification directly from H&E whole-slide images.
CoRR, 2021

Sparse-Shot Learning for Extremely Many Localisations.
CoRR, 2021

Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning.
CoRR, 2021


Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge.
CoRR, 2020

Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils.
CoRR, 2020

Kernel of CycleGAN as a Principle homogeneous space.
CoRR, 2020

Differentiating benign and malignant mass and non-mass lesions in breast DCE-MRI using normalized frequency-based features.
Int. J. Comput. Assist. Radiol. Surg., 2020

Oropharyngeal Tumour Segmentation Using Ensemble 3D PET-CT Fusion Networks for the HECKTOR Challenge.
Proceedings of the Head and Neck Tumor Segmentation - First Challenge, 2020

Kernel of CycleGAN as a principal homogeneous space.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
MemCNN: A Python/PyTorch package for creating memory-efficient invertible neural networks.
J. Open Source Softw., 2019

i-RIM applied to the fastMRI challenge.
CoRR, 2019

Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Breast parenchyma analysis and classification for breast masses detection using texture feature descriptors and neural networks in dedicated breast CT images.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

2018
Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction.
CoRR, 2018

Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network.
CoRR, 2018

Student beats the teacher: deep neural networks for lateral ventricles segmentation in brain MR.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Improving Breast Cancer Detection Using Symmetry Information with Deep Learning.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

Pectoral muscle segmentation in breast tomosynthesis with deep learning.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Automated lesion detection and segmentation in digital mammography using a u-net deep learning network.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

MemCNN: a Framework for Developing Memory Efficient Deep Invertible Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018


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