Jan-Jakob Sonke

According to our database, Jan-Jakob Sonke authored at least 39 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

George Yiasemis, Jan-Jakob Sonke, Jonas Teuwen

CoRR, 2024

Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation.

Jie Liu, Wenzhe Yin, Haochen Wang, Yunlu Chen, Jan-Jakob Sonke, Efstratios Gavves

CoRR, 2024

Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT.

Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen

CoRR, 2024

2023

PC-Reg: A pyramidal prediction-correction approach for large deformation image registration.

Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves

Medical Image Anal., December, 2023

How to Train Neural Field Representations: A Comprehensive Study and Benchmark.

Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves

CoRR, 2023

JSSL: Joint Supervised and Self-supervised Learning for MRI Reconstruction.

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

CoRR, 2023

Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms.

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

CoRR, 2023

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

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

CoRR, 2023

Neural Modulation Fields for Conditional Cone Beam Neural Tomography.

Samuele Papa, David M. Knigge, Riccardo Valperga, Nikita Moriakov, Miltos Kofinas, Jan-Jakob Sonke, Efstratios Gavves

CoRR, 2023

Constrained Empirical Risk Minimization: Theory and Practice.

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

CoRR, 2023

On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction.

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

CoRR, 2023

Deep Cardiac MRI Reconstruction with ADMM.

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

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Noise2Aliasing: Unsupervised Deep Learning for View Aliasing and Noise Reduction in 4DCBCT.

Samuele Papa, Efstratios Gavves, Jan-Jakob Sonke

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN.

David M. Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J. Bekkers, Jakub Mikolaj Tomczak, Mark Hoogendoorn, Jan-Jakob Sonke

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Memory-augmented Variational Adaptation for Online Few-shot Segmentation.

Jie Liu, Yingjun Du, Zehao Xiao, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

A unified model for reconstruction and R2* mapping of accelerated 7T data using the quantitative recurrent inference machine.

Chaoping Zhang, Dimitrios Karkalousos, Pierre-Louis Bazin, Bram F. Coolen, Hugo Vrenken, Jan-Jakob Sonke, Birte U. Forstmann, Dirk H. J. Poot, Matthan W. A. Caan

NeuroImage, 2022

Dynamic Transformer for Few-shot Instance Segmentation.

Haochen Wang, Jie Liu, Yongtuo Liu, Subhransu Maji, Jan-Jakob Sonke, Efstratios Gavves

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Tumor tracking in 4D CT images for adaptive radiotherapy.

Pieter Kronemeijer, Efstratios Gavves, Jan-Jakob Sonke, Jonas Teuwen

Proceedings of the Medical Imaging 2022: Image Processing, 2022

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation.

Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network.

Jie Liu, Yanqi Bao, Wenzhe Yin, Haochen Wang, Yang Gao, Jan-Jakob Sonke, Efstratios Gavves

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

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

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

CoRR, 2021

Subpixel object segmentation using wavelets and multi resolution analysis.

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

CoRR, 2021

Deep MRI Reconstruction with Radial Subsampling.

George Yiasemis, Chaoping Zhang, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen

CoRR, 2021

2019

Recurrent inference machines for reconstructing heterogeneous MRI data.

Kai Lønning, Patrick Putzky, Jan-Jakob Sonke, Liesbeth Reneman, Matthan W. A. Caan, Max Welling

Medical Image Anal., 2019

Evolutionary Machine Learning for Multi-Objective Class Solutions in Medical Deformable Image Registration.

Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten

Algorithms, 2019

Evolutionary multi-objective meta-optimization of deformation and tissue removal parameters improves the performance of deformable image registration of pre- and post-surgery images.

Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten

Proceedings of the Medical Imaging 2019: Image Processing, 2019

2018

Real-time wireless tumor tracking during breast conserving surgery.

Natasja Janssen, Roeland Eppenga, Marie-Jeanne Vrancken Peeters, Frederieke van Duijnhoven, Hester Oldenburg, Jos Alexander van der Hage, Emiel Rutgers, Jan-Jakob Sonke, Koert Kuhlmann, Theo Ruers, Jasper Nijkamp

Int. J. Comput. Assist. Radiol. Surg., 2018

2016

Comparing position and orientation accuracy of different electromagnetic sensors for tracking during interventions.

Jasper Nijkamp, Bram Schermers, Sander Schmitz, Sofieke de Jonge, Koert Kuhlmann, Ferdinand van der Heijden, Jan-Jakob Sonke, Theo Ruers

Int. J. Comput. Assist. Radiol. Surg., 2016

A first step toward uncovering the truth about weight tuning in deformable image registration.

Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Image-guided navigation surgery for pelvic malignancies using electromagnetic tracking.

Jasper Nijkamp, Koert Kuhlmann, Jan-Jakob Sonke, Theo Ruers

Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

2015

On the usefulness of gradient information in multi-objective deformable image registration using a B-spline-based dual-dynamic transformation model: comparison of three optimization algorithms.

Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten

Proceedings of the Medical Imaging 2015: Image Processing, 2015

Diversifying Multi-Objective Gradient Techniques and their Role in Hybrid Multi-Objective Evolutionary Algorithms for Deformable Medical Image Registration.

Kleopatra Pirpinia, Tanja Alderliesten, Jan-Jakob Sonke, Marcel van Herk, Peter A. N. Bosman

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014

A multi-resolution strategy for a multi-objective deformable image registration framework that accommodates large anatomical differences.

Tanja Alderliesten, Peter A. N. Bosman, Jan-Jakob Sonke, Arjan Bel

Proceedings of the Medical Imaging 2014: Image Processing, 2014

2013

Deformable image registration by multi-objective optimization using a dual-dynamic transformation model to account for large anatomical differences.

Tanja Alderliesten, Jan-Jakob Sonke, Peter A. N. Bosman

Proceedings of the Medical Imaging 2013: Image Processing, 2013

2012

Multi-objective optimization for deformable image registration: proof of concept.

Tanja Alderliesten, Jan-Jakob Sonke, Peter A. N. Bosman

Proceedings of the Medical Imaging 2012: Image Processing, 2012

Application of 3D surface imaging in breast cancer radiotherapy.

Tanja Alderliesten, Jan-Jakob Sonke, Anja Betgen, Joeri Honnef, Corine van Vliet-Vroegindeweij, Peter Remeijer

Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012

Directional Interpolation for Motion Weighted 4D Cone-Beam CT Reconstruction.

Hua Zhang, Jan-Jakob Sonke

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2008

On-the-Fly Motion-Compensated Cone-Beam CT Using an a Priori Motion Model.

Simon Rit, Jochem Wolthaus, Marcel van Herk, Jan-Jakob Sonke

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008