Jonas Teuwen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
4
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations. | Yoni Schirris, Eric Marcus, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves |
| 2024 | CVPR | Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms. | Joren Brunekreef, Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen |
| 2024 | CVPR | Task-Driven Wavelets Using Constrained Empirical Risk Minimization. | Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen |
| 2024 | MICCAI | Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-Guided Model. | 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 | MICCAI | Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms. | 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 | MICCAI | Deep Multi-contrast Cardiac MRI Reconstruction via vSHARP with Auxiliary Refinement Network. | George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen |
| 2023 | MICCAI | Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism. | Tianyu Zhang, Luyi Han, Anna D'Angelo, Xin Wang, Yuan Gao, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann |
| 2022 | CVPR | Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction. | George Yiasemis, Jan-Jakob Sonke, Clarisa I. Snchez, Jonas Teuwen |
| 2021 | ICCV | Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations. | Andreas Panteli, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves |
| 2021 | MICCAI | Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. | 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 Schlke, 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 |
| 2020 | ICLR | Kernel of CycleGAN as a principal homogeneous space. | Nikita Moriakov, Jonas Adler, Jonas Teuwen |
| 2020 | MICCAI | Oropharyngeal Tumour Segmentation Using Ensemble 3D PET-CT Fusion Networks for the HECKTOR Challenge. | Chinmay Rao, Suraj Pai, Ibrahim Hadzic, Ivan Zhovannik, Dennis Bontempi, Andre Dekker, Jonas Teuwen, Alberto Traverso |
| 2018 | ICLR | MemCNN: a Framework for Developing Memory Efficient Deep Invertible Networks. | Sil C. van de Leemput, Jonas Teuwen, Rashindra Manniesing |
| 2018 | MICCAI | Improving Breast Cancer Detection Using Symmetry Information with Deep Learning. | Yeman Brhane Hagos, Albert Gubern-Mrida, Jonas Teuwen |