Search Results - "Teuwen, Jonas"

Towards Universal Learning-based Model for Cardiac Image Reconstruction: Summary of the CMRxRecon2024 Challenge

Wang, Fanwen, Wang, Zi, Li, Yan, Lyu, Jun, Qin, Chen, Wang, Shuo, Guo, Kunyuan, Sun, Mengting, Huang, Mingkai, Zhang, Haoyu, Tänzer, Michael, Li, Qirong, Chen, Xinran, Huang, Jiahao, Wu, Yinzhe, Hamedani, Kian Anvari, Lyu, Yuntong, Sun, Longyu, Li, Qing, Xu, Ziqiang, Xin, Bingyu, Metaxas, Dimitris N., Razizadeh, Narges, Nabavi, Shahabedin, Yiasemis, George, Teuwen, Jonas, Zhang, Zhenxi, Wang, Sha, Zhang, Chi, Ennis, Daniel B., Xue, Zhihao, Hu, Chenxi, Xu, Ruru, Oksuz, Ilkay, Lyu, Donghang, Huang, Yanxin, Guo, Xinrui, Hao, Ruqian, Patel, Jaykumar H., Cai, Guanke, Chen, Binghua, Zhang, Yajing, Hua, Sha, Chen, Zhensen, Dou, Qi, Zhuang, Xiahai, Tao, Qian, Bai, Wenjia, Qin, Jing, Wang, He, Prieto, Claudia, Markl, Michael, Young, Alistair, Li, Hao, Hu, Xihong, Wu, Lianmin, Qu, Xiaobo, Yang, Guang, Wang, Chengyan

Current Pathology Foundation Models are unrobust to Medical Center Differences

de Jong, Edwin D., Marcus, Eric, Teuwen, Jonas

ECTIL: Label-efficient Computational Tumour Infiltrating Lymphocyte (TIL) assessment in breast cancer: Multicentre validation in 2,340 patients with breast cancer

Schirris, Yoni, Voorthuis, Rosie, Opdam, Mark, Liefaard, Marte, Sonke, Gabe S, Dackus, Gwen, de Jong, Vincent, Wang, Yuwei, Van Rossum, Annelot, Steenbruggen, Tessa G, Steggink, Lars C, de Vries, Liesbeth G. E., van de Vijver, Marc, Salgado, Roberto, Gavves, Efstratios, van Diest, Paul J, Linn, Sabine C, Teuwen, Jonas, Menezes, Renee, Kok, Marleen, Horlings, Hugo

Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms

Brunekreef, Joren, Marcus, Eric, Sheombarsing, Ray, Sonke, Jan-Jakob, Teuwen, Jonas

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Task-Driven Wavelets Using Constrained Empirical Risk Minimization

Marcus, Eric, Sheombarsing, Ray, Sonke, Jan-Jakob, Teuwen, Jonas

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI

Yiasemis, George, Sonke, Jan-Jakob, Teuwen, Jonas

Deep Multi-contrast Cardiac MRI Reconstruction via vSHARP with Auxiliary Refinement Network

Yiasemis, George, Moriakov, Nikita, Sonke, Jan-Jakob, Teuwen, Jonas

Development of radiomics-based models on mammograms with mass lesions to predict prognostically relevant characteristics of invasive breast cancer in a screening cohort: Epidemiology

Peters, Jim^{Aff1, IDs41416025029956_cor1}, van Leeuwen, Merle M., Moriakov, Nikita^{Aff3, Aff4}, van Dijck, Jos A. A. M., Mann, Ritse M.^{Aff4, Aff5}, Teuwen, Jonas, Lips, Esther H., van den Belt-Dusebout, Alexandra W., Wesseling, Jelle^{Aff2, Aff6, Aff7}, Penning de Vries, Bas B. L., Verboom, Sarah, Karssemeijer, Nico, Elias, Sjoerd G., Broeders, Mireille J. M.^{Aff1, Aff9}

Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms

Wang, Xin, Tan, Tao, Gao, Yuan, Marcus, Eric, Han, Luyi, Portaluri, Antonio, Zhang, Tianyu, Lu, Chunyao, Liang, Xinglong, Beets-Tan, Regina, Teuwen, Jonas, Mann, Ritse

The state-of-the-art in Cardiac MRI Reconstruction: Results of the CMRxRecon Challenge in MICCAI 2023

Lyu, Jun, Qin, Chen, Wang, Shuo, Wang, Fanwen, Li, Yan, Wang, Zi, Guo, Kunyuan, Ouyang, Cheng, Tänzer, Michael, Liu, Meng, Sun, Longyu, Sun, Mengting, Li, Qin, Shi, Zhang, Hua, Sha, Li, Hao, Chen, Zhensen, Zhang, Zhenlin, Xin, Bingyu, Metaxas, Dimitris N., Yiasemis, George, Teuwen, Jonas, Zhang, Liping, Chen, Weitian, Zhao, Yidong, Tao, Qian, Pang, Yanwei, Liu, Xiaohan, Razumov, Artem, Dylov, Dmitry V., Dou, Quan, Yan, Kang, Xue, Yuyang, Du, Yuning, Dietlmeier, Julia, Garcia-Cabrera, Carles, Hemidi, Ziad Al-Haj, Vogt, Nora, Xu, Ziqiang, Zhang, Yajing, Chu, Ying-Hua, Chen, Weibo, Bai, Wenjia, Zhuang, Xiahai, Qin, Jing, Wu, Lianmin, Yang, Guang, Qu, Xiaobo, Wang, He, Wang, Chengyan

End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI

Yiasemis, George, Sonke, Jan-Jakob, Teuwen, Jonas

Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT

Moriakov, Nikita, Sonke, Jan-Jakob, Teuwen, Jonas

Nodule detection and generation on chest X-rays: NODE21 Challenge

Sogancioglu, Ecem, van Ginneken, Bram, Behrendt, Finn, Bengs, Marcel, Schlaefer, Alexander, Radu, Miron, Xu, Di, Sheng, Ke, Scalzo, Fabien, Marcus, Eric, Papa, Samuele, Teuwen, Jonas, Scholten, Ernst Th., Schalekamp, Steven, Hendrix, Nils, Jacobs, Colin, Hendrix, Ward, Sánchez, Clara I, Murphy, Keelin

Joint Supervised and Self-supervised Learning for MRI Reconstruction

Yiasemis, George, Moriakov, Nikita, Sánchez, Clara I., Sonke, Jan-Jakob, Teuwen, Jonas

Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms

Brunekreef, Joren, Marcus, Eric, Sheombarsing, Ray, Sonke, Jan-Jakob, Teuwen, Jonas

Deep Cardiac MRI Reconstruction with ADMM

Yiasemis, George, Moriakov, Nikita, Sonke, Jan-Jakob, Teuwen, Jonas

Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction

Yiasemis, George, Sonke, Jan-Jakob, Sanchez, Clarisa, Teuwen, Jonas

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

vSHARP: variable Splitting Half-quadratic Admm algorithm for Reconstruction of inverse-Problems

Yiasemis, George, Moriakov, Nikita, Sonke, Jan-Jakob, Teuwen, Jonas

Improving Lesion Volume Measurements on Digital Mammograms

Moriakov, Nikita, Peters, Jim, Mann, Ritse, Karssemeijer, Nico, van Dijck, Jos, Broeders, Mireille, Teuwen, Jonas

Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism

Zhang, Tianyu, Han, Luyi, D'Angelo, Anna, Wang, Xin, Gao, Yuan, Lu, Chunyao, Teuwen, Jonas, Beets-Tan, Regina, Tan, Tao, Mann, Ritse