Jonas Teuwen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 59

Top Topics

Lesion Detection

Digital Mammography

Top Venues

Medical Image Anal.

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Processing

Publications

Nikita Moriakov, Jim Peters, Ritse Mann, Nico Karssemeijer, Jos van Dijck, Mireille J. M. Broeders, Jonas Teuwen
Improving lesion volume measurements on digital mammograms. Medical Image Anal. 97 (2024)
Tianyu Zhang, Tao Tan, Luyi Han, Xin Wang, Yuan Gao, Jarek van Dijk, Antonio Portaluri, Abel Gonzalez-Huete, Anna D'Angelo, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Yue Sun, Ritse Mann
IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data. Inf. Fusion 108 (2024)
Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT. CoRR (2024)
Luyi Han, Tao Tan, Tianyu Zhang, Yunzhi Huang, Xin Wang, Yuan Gao, Jonas Teuwen, Ritse Mann
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI. Medical Image Anal. 92 (2024)
Luyi Han, Tao Tan, Tianyu Zhang, Yuan Gao, Xin Wang, Valentina Longo, Sofía Ventura-Díaz, Anna D'Angelo, Jonas Teuwen, Ritse Mann
To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection. CoRR (2024)
Ecem Sogancioglu, Bram van Ginneken, Finn Behrendt, Marcel Bengs, Alexander Schlaefer, Miron Radu, Di Xu, Ke Sheng, Fabien Scalzo, Eric Marcus, Samuele Papa, Jonas Teuwen, Ernst Th. Scholten, Steven Schalekamp, Nils Hendrix, Colin Jacobs, Ward Hendrix, Clara I. Sánchez, Keelin Murphy
Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge. IEEE Trans. Medical Imaging 43 (8) (2024)
George Yiasemis, Jan-Jakob Sonke, Jonas Teuwen
End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI. CoRR (2024)
Ecem Sogancioglu, Bram van Ginneken, Finn Behrendt, Marcel Bengs, Alexander Schlaefer, Miron Radu, Di Xu, Ke Sheng, Fabien Scalzo, Eric Marcus, Samuele Papa, Jonas Teuwen, Ernst Th. Scholten, Steven Schalekamp, Nils Hendrix, Colin Jacobs, Ward Hendrix, Clara I. Sánchez, Keelin Murphy
Nodule detection and generation on chest X-rays: NODE21 Challenge. CoRR (2024)
Tianyu Zhang, Tao Tan, Luyi Han, Xin Wang, Yuan Gao, Jonas Teuwen, Regina Beets-Tan, Ritse Mann
IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data. CoRR (2023)
Luyi Han, Tao Tan, Tianyu Zhang, Yunzhi Huang, Xin Wang, Yuan Gao, Jonas Teuwen, Ritse Mann
Synthesis-based Imaging-Differentiation Representation Learning for Multi-Sequence 3D/4D MRI. CoRR (2023)
George Yiasemis, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen
On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction. CoRR (2023)
Tianyu Zhang, Luyi Han, Anna D'Angelo, Xin Wang, Yuan Gao, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann
Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism. CoRR (2023)
Joren Brunekreef, Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms. CoRR (2023)
Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen
Constrained Empirical Risk Minimization: Theory and Practice. CoRR (2023)
George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems. CoRR (2023)
Nikita Moriakov, Jim Peters, Ritse Mann, Nico Karssemeijer, Jos van Dijck, Mireille J. M. Broeders, Jonas Teuwen
Improving Lesion Volume Measurements on Digital Mammograms. CoRR (2023)
George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
Deep Cardiac MRI Reconstruction with ADMM. CoRR (2023)
George Yiasemis, Nikita Moriakov, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen
JSSL: Joint Supervised and Self-supervised Learning for MRI Reconstruction. CoRR (2023)
Tianyu Zhang, Luyi Han, Anna D'Angelo, Xin Wang, Yuan Gao, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann
Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism. MICCAI (7) (2023)
George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
Deep Cardiac MRI Reconstruction with ADMM. STACOM@MICCAI (2023)
Sarah D. Verboom, Marco Caballo, Mireille J. M. Broeders, Jonas Teuwen, Ioannis Sechopoulos
Deep learning-based breast tissue segmentation in digital mammography: generalization across views and vendors. Medical Imaging: Image Processing (2022)
George Yiasemis, Nikita Moriakov, Dimitrios Karkalousos, Matthan W. A. Caan, Jonas Teuwen
DIRECT: Deep Image REConstruction Toolkit. J. Open Source Softw. 7 (74) (2022)
Shannon Doyle, Francesco Dal Canton, Jelle Wesseling, Clara I. Sánchez, Jonas Teuwen
Mammary duct detection using self-supervised encoders. Medical Imaging: Computer-Aided Diagnosis (2022)
Teaghan O'Briain, Carlos Uribe, Kwang Moo Yi, Jonas Teuwen, Ioannis Sechopoulos, Magdalena Bazalova-Carter
FlowNet-PET: Unsupervised Learning to Perform Respiratory Motion Correction in PET Imaging. CoRR (2022)
George Yiasemis, Jan-Jakob Sonke, Clarisa Sánchez, Jonas Teuwen
Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction. CVPR (2022)
Yoni Schirris, Efstratios Gavves, Iris Nederlof, Hugo Mark Horlings, Jonas Teuwen
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. 79 (2022)
Pieter Kronemeijer, Efstratios Gavves, Jan-Jakob Sonke, Jonas Teuwen
Tumor tracking in 4D CT images for adaptive radiotherapy. Medical Imaging: Image Processing (2022)
George Yiasemis, Chaoping Zhang, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen
Deep MRI Reconstruction with Radial Subsampling. CoRR (2021)
Andreas Panteli, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves
Sparse-Shot Learning for Extremely Many Localisations. CoRR (2021)
Andreas Panteli, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves
Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations. ICCV (2021)
Patricia M. Johnson, Geunu Jeong, Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Daniel Rueckert, Jingu Lee, Nicola Pezzotti, Elwin de Weerdt, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Franciscus Van Gemert, Christophe Schülke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Marius Staring, Eric Z. Chen, Puyang Wang, Xiao Chen, Terrence Chen, Vishal M. Patel, Shanhui Sun, Hyungseob Shin, Yohan Jun, Taejoon Eo, Sewon Kim, Taeseong Kim, Dosik Hwang, Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling, Matthew J. Muckley, Florian Knoll
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. MLMIR@MICCAI (2021)
Yoni Schirris, Mendel Engelaer, Andreas Panteli, Hugo Mark Horlings, Efstratios Gavves, Jonas Teuwen
WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need. CoRR (2021)
Yoni Schirris, Efstratios Gavves, Iris Nederlof, Hugo Mark Horlings, Jonas Teuwen
DeepSMILE: Self-supervised heterogeneity-aware multiple instance learning for DNA damage response defect classification directly from H&E whole-slide images. CoRR (2021)
Fazael Ayatollahi, Shahriar B. Shokouhi, Ritse M. Mann, Jonas Teuwen
Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning. CoRR (2021)
Ray Sheombarsing, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
Subpixel object segmentation using wavelets and multi resolution analysis. CoRR (2021)
George Yiasemis, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen
Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction. CoRR (2021)
Jonas Teuwen, Nikita Moriakov, Christian Fedon, Marco Caballo, Ingrid S. Reiser, Predrag R. Bakic, Eloy García, Oliver Díaz, Koen Michielsen, Ioannis Sechopoulos
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation. Medical Image Anal. 71 (2021)
Matthew J. Muckley, Bruno Riemenschneider, Alireza Radmanesh, Sunwoo Kim, Geunu Jeong, Jingyu Ko, Yohan Jun, Hyungseob Shin, Dosik Hwang, Mahmoud Mostapha, Simon Arberet, Dominik Nickel, Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck, Jonas Teuwen, Dimitrios Karkalousos, Chaoping Zhang, Anuroop Sriram, Zhengnan Huang, Nafissa Yakubova, Yvonne W. Lui, Florian Knoll
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction. IEEE Trans. Medical Imaging 40 (9) (2021)
Fazael Ayatollahi, Shahriar B. Shokouhi, Jonas Teuwen
Differentiating benign and malignant mass and non-mass lesions in breast DCE-MRI using normalized frequency-based features. Int. J. Comput. Assist. Radiol. Surg. 15 (2) (2020)
Youssef Beauferris, Jonas Teuwen, Dimitrios Karkalousos, Nikita Moriakov, Matthan W. A. Caan, Lívia Rodrigues, Alexandre Lopes, Hélio Pedrini, Letícia Rittner, Maik Dannecker, Viktor Studenyak, Fabian Gröger, Devendra Vyas, Shahrooz Faghih-Roohi, Amrit Kumar Jethi, JayaChandra Raju, Mohanasankar Sivaprakasam, Wallace Loos, Richard Frayne, Roberto Souza
Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils. CoRR (2020)
Nikita Moriakov, Jonas Adler, Jonas Teuwen
Kernel of CycleGAN as a Principle homogeneous space. CoRR (2020)
Jonas Teuwen, Nikita Moriakov, Christian Fedon, Marco Caballo, Ingrid S. Reiser, Predrag R. Bakic, Eloy García, Oliver Díaz, Koen Michielsen, Ioannis Sechopoulos
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation. CoRR (2020)
Matthew J. Muckley, Bruno Riemenschneider, Alireza Radmanesh, Sunwoo Kim, Geunu Jeong, Jingyu Ko, Yohan Jun, Hyungseob Shin, Dosik Hwang, Mahmoud Mostapha, Simon Arberet, Dominik Nickel, Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck, Jonas Teuwen, Dimitrios Karkalousos, Chaoping Zhang, Anuroop Sriram, Zhengnan Huang, Nafissa Yakubova, Yvonne W. Lui, Florian Knoll
State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge. CoRR (2020)
Chinmay Rao, Suraj Pai, Ibrahim Hadzic, Ivan Zhovannik, Dennis Bontempi, Andre Dekker, Jonas Teuwen, Alberto Traverso
Oropharyngeal Tumour Segmentation Using Ensemble 3D PET-CT Fusion Networks for the HECKTOR Challenge. HECKTOR@MICCAI (2020)
Nikita Moriakov, Jonas Adler, Jonas Teuwen
Kernel of CycleGAN as a principal homogeneous space. ICLR (2020)
Joris van Vugt, Elena Marchiori, Ritse Mann, Albert Gubern-Mérida, Nikita Moriakov, Jonas Teuwen
Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation. Medical Imaging: Computer-Aided Diagnosis (2019)
Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling
i-RIM applied to the fastMRI challenge. CoRR (2019)
Marco Caballo, Jonas Teuwen, Ritse Mann, Ioannis Sechopoulos
Breast parenchyma analysis and classification for breast masses detection using texture feature descriptors and neural networks in dedicated breast CT images. Medical Imaging: Computer-Aided Diagnosis (2019)
Sil C. van de Leemput, Jonas Teuwen, Bram van Ginneken, Rashindra Manniesing
MemCNN: A Python/PyTorch package for creating memory-efficient invertible neural networks. J. Open Source Softw. 4 (39) (2019)
Joris van Vugt, Elena Marchiori, Ritse Mann, Albert Gubern-Mérida, Nikita Moriakov, Jonas Teuwen
Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation. CoRR (2018)
Mohsen Ghafoorian, Jonas Teuwen, Rashindra Manniesing, Frank-Erik de Leeuw, Bram van Ginneken, Nico Karssemeijer, Bram Platel
Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR. CoRR (2018)
Nikita Moriakov, Koen Michielsen, Jonas Adler, Ritse Mann, Ioannis Sechopoulos, Jonas Teuwen
Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction. CoRR (2018)
Yeman Brhane Hagos, Albert Gubern-Mérida, Jonas Teuwen
Improving Breast Cancer Detection Using Symmetry Information with Deep Learning. RAMBO+BIA+TIA@MICCAI (2018)
Yeman Brhane Hagos, Albert Gubern-Mérida, Jonas Teuwen
Improving Breast Cancer Detection using Symmetry Information with Deep Learning. CoRR (2018)
Timothy de Moor, Alejandro Rodríguez-Ruiz, Ritse Mann, Jonas Teuwen
Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network. CoRR (2018)
Sil C. van de Leemput, Jonas Teuwen, Rashindra Manniesing
MemCNN: a Framework for Developing Memory Efficient Deep Invertible Networks. ICLR (Workshop) (2018)
Mohsen Ghafoorian, Jonas Teuwen, Rashindra Manniesing, Frank-Erik de Leeuw, Bram van Ginneken, Nico Karssemeijer, Bram Platel
Student beats the teacher: deep neural networks for lateral ventricles segmentation in brain MR. Medical Imaging: Image Processing (2018)
Alejandro Rodríguez-Ruiz, Jonas Teuwen, Kaman Chung, Nico Karssemeijer, Margarita Chevalier, Albert Gubern-Mérida, Ioannis Sechopoulos
Pectoral muscle segmentation in breast tomosynthesis with deep learning. Medical Imaging: Computer-Aided Diagnosis (2018)
Timothy de Moor, Alejandro Rodríguez-Ruiz, Albert Gubern-Mérida, Ritse Mann, Jonas Teuwen
Automated lesion detection and segmentation in digital mammography using a u-net deep learning network. IWBI (2018)