Jonas Teuwen
Orcid: 0000-0002-1825-1428
According to our database1,
Jonas Teuwen
authored at least 50 papers
between 2018 and 2024.
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Bibliography
2024
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI.
Medical Image Anal., February, 2024
CoRR, 2024
CoRR, 2024
To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection.
CoRR, 2024
2023
CoRR, 2023
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms.
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
IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data.
CoRR, 2023
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
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
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 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
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
CoRR, 2021
WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need.
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
CoRR, 2021
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021
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
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
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
Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 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, 2019
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
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018
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
Proceedings of the 6th International Conference on Learning Representations, 2018