Jonas Teuwen

79 papers A* 5B 3Journal 55Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Incorporating global-local tissue changes to predict future breast cancer from longitudinal screening mammograms.
Medical Image Anal.
Xin Wang, Tao Tan, Yuan Gao, Eric Marcus, Hong-Yu Zhou, Chunyao Lu, Luyi Han, Antonio Portaluri, Ruisheng Su, Tianyu Zhang, Xinglong Liang, Regina Beets-Tan, Katja Pinker-Domenig, Yue Sun, Ritse Mann, Jonas Teuwen
2025 J jnl
Current Pathology Foundation Models are unrobust to Medical Center Differences.
CoRR
Edwin D. de Jong, Eric Marcus, Jonas Teuwen
2025 J jnl
ECTIL: Label-efficient Computational Tumour Infiltrating Lymphocyte (TIL) assessment in breast cancer: Multicentre validation in 2,340 patients with breast cancer.
CoRR
Yoni Schirris, Rosie Voorthuis, Mark Opdam, Marte Liefaard, Gabe S. Sonke, Gwen Dackus, Vincent de Jong, Yuwei Wang, Annelot Van Rossum, Tessa G. Steenbruggen, Lars C. Steggink, Liesbeth G. E. de Vries, Marc J. van de Vijver, Roberto Salgado, Efstratios Gavves, Paul J. van Diest, Sabine C. Linn, Jonas Teuwen, Renee Menezes, Marleen Kok, Hugo M. Horlings
2025 J jnl
Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT: From Simulated to Real Data.
CoRR
Nikita Moriakov, Efstratios Gavves, Jonathan H. Mason, Carmen Seller-Oria, Jonas Teuwen, Jan-Jakob Sonke
2025 J jnl
Foundation Models in Medical Imaging - A Review and Outlook.
CoRR
Vivien van Veldhuizen, Vanessa Botha, Chunyao Lu, Melis Erdal Cesur, Kevin Groot Lipman, Edwin D. de Jong, Hugo M. Horlings, Clarisa I. Sánchez, Cees G. M. Snoek, Lodewyk F. A. Wessels, Ritse Mann, Eric Marcus, Jonas Teuwen
2025 — conf
From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations.
iMIMIC@MICCAI
Yoni Schirris, Eric Marcus, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves
2025 J jnl
From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations.
CoRR
Yoni Schirris, Eric Marcus, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves
2025 J jnl
Multi-Modal Longitudinal Representation Learning for Predicting Neoadjuvant Therapy Response in Breast Cancer Treatment.
IEEE J. Biomed. Health Informatics
Yuan Gao, Tao Tan, Xin Wang, Regina Beets-Tan, Tianyu Zhang, Luyi Han, Antonio Portaluri, Chunyao Lu, Xinglong Liang, Jonas Teuwen, Hong-Yu Zhou, Ritse Mann
2025 J jnl
TAP-CT: 3D Task-Agnostic Pretraining of Computed Tomography Foundation Models.
CoRR
Tim Veenboer, George Yiasemis, Eric Marcus, Vivien van Veldhuizen, Cees G. M. Snoek, Jonas Teuwen, Kevin Groot Lipman
2025 J jnl
The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023.
Medical Image Anal.
Jun Lyu, Chen Qin, Shuo Wang, Fanwen Wang, Yan Li, Zi Wang, Kunyuan Guo, Ouyang Cheng, Michael Tänzer, Meng Liu, Longyu Sun, Mengting Sun, Qing Li, Zhang Shi, Sha Hua, Hao Li, Zhensen Chen, Zhenlin Zhang, Bingyu Xin, Dimitris N. Metaxas, George Yiasemis, Jonas Teuwen, Liping Zhang, Weitian Chen, Yidong Zhao, Qian Tao, Yanwei Pang, Xiaohan Liu, Artem Razumov, Dmitry V. Dylov, Quan Dou, Kang Yan, Yuyang Xue, Yuning Du, Julia Dietlmeier, Carles García-Cabrera, Ziad Al-Haj Hemidi, Nora Vogt, Ziqiang Xu, Yajing Zhang, Ying-Hua Chu, Weibo Chen, Wenjia Bai, Xiahai Zhuang, Jing Qin, Lianming Wu, Guang Yang, Xiaobo Qu, He Wang, Chengyan Wang
2025 J jnl
Towards Robust Foundation Models for Digital Pathology.
CoRR
Jonah Kömen, Edwin D. de Jong, Julius Hense, Hannah Marienwald, Jonas Dippel, Philip Naumann, Eric Marcus, Lukas Ruff, Maximilian Alber, Jonas Teuwen, Frederick Klauschen, Klaus-Robert Müller
2024 J jnl
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI.
CoRR
George Yiasemis, Jan-Jakob Sonke, Jonas Teuwen
2024 — conf
Deep Multi-contrast Cardiac MRI Reconstruction via vSHARP with Auxiliary Refinement Network.
CMRxRecon/MBAS/STACOM@MICCAI
George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
2024 J jnl
Deep Multi-contrast Cardiac MRI Reconstruction via vSHARP with Auxiliary Refinement Network.
CoRR
George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
2024 J jnl
End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI.
CoRR
George Yiasemis, Jan-Jakob Sonke, Jonas Teuwen
2024 J jnl
Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT.
CoRR
Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
2024 J jnl
IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data.
Inf. Fusion
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
2024 — conf
Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-Guided Model.
MICCAI (1)
Yuan Gao, Hong-Yu Zhou, Xin Wang, Tianyu Zhang, Luyi Han, Chunyao Lu, Xinglong Liang, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann
2024 J jnl
Improving lesion volume measurements on digital mammograms.
Medical Image Anal.
Nikita Moriakov, Jim Peters, Ritse Mann, Nico Karssemeijer, Jos van Dijck, Mireille J. M. Broeders, Jonas Teuwen
2024 A* conf
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms.
CVPR
Joren Brunekreef, Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen
2024 J jnl
Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge.
IEEE Trans. Medical Imaging
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
2024 J jnl
Nodule detection and generation on chest X-rays: NODE21 Challenge.
CoRR
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
2024 — conf
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms.
MICCAI (1)
Xin Wang, Tao Tan, Yuan Gao, Eric Marcus, Luyi Han, Antonio Portaluri, Tianyu Zhang, Chunyao Lu, Xinglong Liang, Regina Beets-Tan, Jonas Teuwen, Ritse Mann
2024 J jnl
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms.
CoRR
Xin Wang, Tao Tan, Yuan Gao, Eric Marcus, Luyi Han, Antonio Portaluri, Tianyu Zhang, Chunyao Lu, Xinglong Liang, Regina Beets-Tan, Jonas Teuwen, Ritse Mann
2024 J jnl
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI.
Medical Image Anal.
Luyi Han, Tao Tan, Tianyu Zhang, Yunzhi Huang, Xin Wang, Yuan Gao, Jonas Teuwen, Ritse Mann
2024 A* conf
Task-Driven Wavelets Using Constrained Empirical Risk Minimization.
CVPR
Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen
2024 J jnl
To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection.
CoRR
Luyi Han, Tao Tan, Tianyu Zhang, Yuan Gao, Xin Wang, Valentina Longo, Sofía Ventura-Díaz, Anna D'Angelo, Jonas Teuwen, Ritse Mann
2023 J jnl
Constrained Empirical Risk Minimization: Theory and Practice.
CoRR
Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen
2023 — conf
Deep Cardiac MRI Reconstruction with ADMM.
STACOM@MICCAI
George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
2023 J jnl
Deep Cardiac MRI Reconstruction with ADMM.
CoRR
George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
2023 J jnl
IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data.
CoRR
Tianyu Zhang, Tao Tan, Luyi Han, Xin Wang, Yuan Gao, Jonas Teuwen, Regina Beets-Tan, Ritse Mann
2023 J jnl
Improving Lesion Volume Measurements on Digital Mammograms.
CoRR
Nikita Moriakov, Jim Peters, Ritse Mann, Nico Karssemeijer, Jos van Dijck, Mireille J. M. Broeders, Jonas Teuwen
2023 J jnl
JSSL: Joint Supervised and Self-supervised Learning for MRI Reconstruction.
CoRR
George Yiasemis, Nikita Moriakov, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen
2023 J jnl
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms.
CoRR
Joren Brunekreef, Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen
2023 J jnl
On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction.
CoRR
George Yiasemis, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen
2023 J jnl
Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism.
CoRR
Tianyu Zhang, Luyi Han, Anna D'Angelo, Xin Wang, Yuan Gao, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann
2023 — conf
Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism.
MICCAI (7)
Tianyu Zhang, Luyi Han, Anna D'Angelo, Xin Wang, Yuan Gao, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann
2023 J jnl
Synthesis-based Imaging-Differentiation Representation Learning for Multi-Sequence 3D/4D MRI.
CoRR
Luyi Han, Tao Tan, Tianyu Zhang, Yunzhi Huang, Xin Wang, Yuan Gao, Jonas Teuwen, Ritse Mann
2023 J jnl
vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems.
CoRR
George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
2022 J jnl
DIRECT: Deep Image REConstruction Toolkit.
J. Open Source Softw.
George Yiasemis, Nikita Moriakov, Dimitrios Karkalousos, Matthan W. A. Caan, Jonas Teuwen
2022 B conf
Deep learning-based breast tissue segmentation in digital mammography: generalization across views and vendors.
Image Processing
Sarah D. Verboom, Marco Caballo, Mireille J. M. Broeders, Jonas Teuwen, Ioannis Sechopoulos
2022 J jnl
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.
Yoni Schirris, Efstratios Gavves, Iris Nederlof, Hugo Mark Horlings, Jonas Teuwen
2022 J jnl
FlowNet-PET: Unsupervised Learning to Perform Respiratory Motion Correction in PET Imaging.
CoRR
Teaghan O'Briain, Carlos Uribe, Kwang Moo Yi, Jonas Teuwen, Ioannis Sechopoulos, Magdalena Bazalova-Carter
2022 — conf
Mammary duct detection using self-supervised encoders.
Computer-Aided Diagnosis
Shannon Doyle, Francesco Dal Canton, Jelle Wesseling, Clara I. Sánchez, Jonas Teuwen
2022 A* conf
Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction.
CVPR
George Yiasemis, Jan-Jakob Sonke, Clarisa I. Sánchez, Jonas Teuwen
2022 B conf
Tumor tracking in 4D CT images for adaptive radiotherapy.
Image Processing
Pieter Kronemeijer, Efstratios Gavves, Jan-Jakob Sonke, Jonas Teuwen
2022 — conf
WeakSTIL: weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need.
Digital and Computational Pathology
Yoni Schirris, Mendel Engelaer, Andreas Panteli, Hugo Mark Horlings, Efstratios Gavves, Jonas Teuwen
2021 J jnl
Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning.
CoRR
Fazael Ayatollahi, Shahriar B. Shokouhi, Ritse M. Mann, Jonas Teuwen
2021 J jnl
Deep MRI Reconstruction with Radial Subsampling.
CoRR
George Yiasemis, Chaoping Zhang, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen
2021 J jnl
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation.
Medical Image Anal.
Jonas Teuwen, Nikita Moriakov, Christian Fedon, Marco Caballo, Ingrid S. Reiser, Predrag R. Bakic, Eloy García, Oliver Díaz, Koen Michielsen, Ioannis Sechopoulos
2021 J jnl
DeepSMILE: Self-supervised heterogeneity-aware multiple instance learning for DNA damage response defect classification directly from H&E whole-slide images.
CoRR
Yoni Schirris, Efstratios Gavves, Iris Nederlof, Hugo Mark Horlings, Jonas Teuwen
2021 — conf
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
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
2021 J jnl
Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction.
CoRR
George Yiasemis, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen
2021 J jnl
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction.
IEEE Trans. Medical Imaging
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
2021 J jnl
Sparse-Shot Learning for Extremely Many Localisations.
CoRR
Andreas Panteli, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves
2021 A* conf
Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations.
ICCV
Andreas Panteli, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves
2021 J jnl
Subpixel object segmentation using wavelets and multi resolution analysis.
CoRR
Ray Sheombarsing, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
2021 J jnl
WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need.
CoRR
Yoni Schirris, Mendel Engelaer, Andreas Panteli, Hugo Mark Horlings, Efstratios Gavves, Jonas Teuwen
2020 J jnl
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation.
CoRR
Jonas Teuwen, Nikita Moriakov, Christian Fedon, Marco Caballo, Ingrid S. Reiser, Predrag R. Bakic, Eloy García, Oliver Díaz, Koen Michielsen, Ioannis Sechopoulos
2020 J jnl
Differentiating benign and malignant mass and non-mass lesions in breast DCE-MRI using normalized frequency-based features.
Int. J. Comput. Assist. Radiol. Surg.
Fazael Ayatollahi, Shahriar B. Shokouhi, Jonas Teuwen
2020 J jnl
Kernel of CycleGAN as a Principle homogeneous space.
CoRR
Nikita Moriakov, Jonas Adler, Jonas Teuwen
2020 A* conf
Kernel of CycleGAN as a principal homogeneous space.
ICLR
Nikita Moriakov, Jonas Adler, Jonas Teuwen
2020 J jnl
Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils.
CoRR
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
2020 — conf
Oropharyngeal Tumour Segmentation Using Ensemble 3D PET-CT Fusion Networks for the HECKTOR Challenge.
HECKTOR@MICCAI
Chinmay Rao, Suraj Pai, Ibrahim Hadzic, Ivan Zhovannik, Dennis Bontempi, Andre Dekker, Jonas Teuwen, Alberto Traverso
2020 J jnl
State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge.
CoRR
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
2019 — conf
Breast parenchyma analysis and classification for breast masses detection using texture feature descriptors and neural networks in dedicated breast CT images.
Computer-Aided Diagnosis
Marco Caballo, Jonas Teuwen, Ritse Mann, Ioannis Sechopoulos
2019 J jnl
MemCNN: A Python/PyTorch package for creating memory-efficient invertible neural networks.
J. Open Source Softw.
Sil C. van de Leemput, Jonas Teuwen, Bram van Ginneken, Rashindra Manniesing
2019 — conf
Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation.
Computer-Aided Diagnosis
Joris van Vugt, Elena Marchiori, Ritse Mann, Albert Gubern-Mérida, Nikita Moriakov, Jonas Teuwen
2019 J jnl
i-RIM applied to the fastMRI challenge.
CoRR
Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling
2018 — conf
Automated lesion detection and segmentation in digital mammography using a u-net deep learning network.
IWBI
Timothy de Moor, Alejandro Rodríguez-Ruiz, Albert Gubern-Mérida, Ritse Mann, Jonas Teuwen
2018 J jnl
Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network.
CoRR
Timothy de Moor, Alejandro Rodríguez-Ruiz, Ritse Mann, Jonas Teuwen
2018 J jnl
Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction.
CoRR
Nikita Moriakov, Koen Michielsen, Jonas Adler, Ritse Mann, Ioannis Sechopoulos, Jonas Teuwen
2018 — conf
Improving Breast Cancer Detection Using Symmetry Information with Deep Learning.
RAMBO+BIA+TIA@MICCAI
Yeman Brhane Hagos, Albert Gubern-Mérida, Jonas Teuwen
2018 J jnl
Improving Breast Cancer Detection using Symmetry Information with Deep Learning.
CoRR
Yeman Brhane Hagos, Albert Gubern-Mérida, Jonas Teuwen
2018 — conf
MemCNN: a Framework for Developing Memory Efficient Deep Invertible Networks.
ICLR (Workshop)
Sil C. van de Leemput, Jonas Teuwen, Rashindra Manniesing
2018 — conf
Pectoral muscle segmentation in breast tomosynthesis with deep learning.
Computer-Aided Diagnosis
Alejandro Rodríguez-Ruiz, Jonas Teuwen, Kaman Chung, Nico Karssemeijer, Margarita Chevalier, Albert Gubern-Mérida, Ioannis Sechopoulos
2018 J jnl
Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR.
CoRR
Mohsen Ghafoorian, Jonas Teuwen, Rashindra Manniesing, Frank-Erik de Leeuw, Bram van Ginneken, Nico Karssemeijer, Bram Platel
2018 B conf
Student beats the teacher: deep neural networks for lateral ventricles segmentation in brain MR.
Image Processing
Mohsen Ghafoorian, Jonas Teuwen, Rashindra Manniesing, Frank-Erik de Leeuw, Bram van Ginneken, Nico Karssemeijer, Bram Platel
2018 J jnl
Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation.
CoRR
Joris van Vugt, Elena Marchiori, Ritse Mann, Albert Gubern-Mérida, Nikita Moriakov, Jonas Teuwen