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2020 – today
- 2024
[j10]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: 102381 (2024)- [j9]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: 103044 (2024) - [j8]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: 103269 (2024) - [j7]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): 2839-2853 (2024) - [i32]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 abs/2401.02192 (2024) - [i31]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 abs/2401.09336 (2024) - [i30]Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen:
Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT. CoRR abs/2401.11256 (2024) - [i29]George Yiasemis, Jan-Jakob Sonke, Jonas Teuwen:
End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI. CoRR abs/2403.10346 (2024) - 2023
- [c17]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: 79-88 - [c16]George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen:
Deep Cardiac MRI Reconstruction with ADMM. STACOM@MICCAI 2023: 479-490 - [i28]George Yiasemis, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen:
On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction. CoRR abs/2301.08365 (2023) - [i27]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 abs/2302.00517 (2023) - [i26]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 abs/2302.01788 (2023) - [i25]Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen:
Constrained Empirical Risk Minimization: Theory and Practice. CoRR abs/2302.04729 (2023) - [i24]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 abs/2307.00895 (2023) - [i23]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 abs/2308.14369 (2023) - [i22]George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen:
vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems. CoRR abs/2309.09954 (2023) - [i21]George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen:
Deep Cardiac MRI Reconstruction with ADMM. CoRR abs/2310.06628 (2023) - [i20]Joren Brunekreef, Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen:
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms. CoRR abs/2311.11837 (2023) - [i19]George Yiasemis, Nikita Moriakov, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen:
JSSL: Joint Supervised and Self-supervised Learning for MRI Reconstruction. CoRR abs/2311.15856 (2023) - 2022
- [j6]George Yiasemis, Nikita Moriakov, Dimitrios Karkalousos, Matthan W. A. Caan, Jonas Teuwen:
DIRECT: Deep Image REConstruction Toolkit. J. Open Source Softw. 7(74): 4278 (2022) - [j5]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: 102464 (2022) - [c15]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: 722-731 - [c14]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 - [c13]Pieter Kronemeijer, Efstratios Gavves, Jan-Jakob Sonke, Jonas Teuwen:
Tumor tracking in 4D CT images for adaptive radiotherapy. Medical Imaging: Image Processing 2022 - [c12]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 - [i18]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 abs/2205.14147 (2022) - 2021
- [j4]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: 102061 (2021) - [j3]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): 2306-2317 (2021) - [c11]Andreas Panteli, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves:
Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations. ICCV 2021: 2793-2803 - [c10]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: 25-34 - [i17]Fazael Ayatollahi, Shahriar B. Shokouhi, Ritse M. Mann, Jonas Teuwen:
Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning. CoRR abs/2102.03932 (2021) - [i16]Andreas Panteli, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves:
Sparse-Shot Learning for Extremely Many Localisations. CoRR abs/2104.10425 (2021) - [i15]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 abs/2107.09405 (2021) - [i14]George Yiasemis, Chaoping Zhang, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen:
Deep MRI Reconstruction with Radial Subsampling. CoRR abs/2108.07619 (2021) - [i13]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 abs/2109.05892 (2021) - [i12]Ray Sheombarsing, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen:
Subpixel object segmentation using wavelets and multi resolution analysis. CoRR abs/2110.15233 (2021) - [i11]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 abs/2111.09639 (2021) - 2020
- [j2]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): 297-307 (2020) - [c9]Nikita Moriakov, Jonas Adler, Jonas Teuwen:
Kernel of CycleGAN as a principal homogeneous space. ICLR 2020 - [c8]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: 65-77 - [i10]Nikita Moriakov, Jonas Adler, Jonas Teuwen:
Kernel of CycleGAN as a Principle homogeneous space. CoRR abs/2001.09061 (2020) - [i9]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 abs/2006.06508 (2020) - [i8]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 abs/2011.07952 (2020) - [i7]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 abs/2012.06318 (2020)
2010 – 2019
- 2019
- [j1]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): 1576 (2019) - [c7]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: 109500J - [c6]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: 1095002 - [i6]Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling:
i-RIM applied to the fastMRI challenge. CoRR abs/1910.08952 (2019) - 2018
- [c5]Sil C. van de Leemput, Jonas Teuwen, Rashindra Manniesing:
MemCNN: a Framework for Developing Memory Efficient Deep Invertible Networks. ICLR (Workshop) 2018 - [c4]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: 1071805 - [c3]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: 105752J - [c2]Yeman Brhane Hagos, Albert Gubern-Mérida, Jonas Teuwen:
Improving Breast Cancer Detection Using Symmetry Information with Deep Learning. RAMBO+BIA+TIA@MICCAI 2018: 90-97 - [c1]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: 105742U - [i5]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 abs/1801.05040 (2018) - [i4]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 abs/1802.06865 (2018) - [i3]Nikita Moriakov, Koen Michielsen, Jonas Adler, Ritse Mann, Ioannis Sechopoulos, Jonas Teuwen:
Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction. CoRR abs/1808.04640 (2018) - [i2]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 abs/1808.04909 (2018) - [i1]Yeman Brhane Hagos, Albert Gubern-Mérida, Jonas Teuwen:
Improving Breast Cancer Detection using Symmetry Information with Deep Learning. CoRR abs/1808.08273 (2018)
Coauthor Index
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last updated on 2024-09-10 02:05 CEST by the dblp team
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