Jan-Jakob Sonke

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 41

Top Topics

Semantic Segmentation

Empirical Risk Minimization

Image Registration

Top Venues

Medical Imaging: Image Processing

Int. J. Comput. Assist. Radiol. Surg.

Medical Image Anal.

Publications

Jie Liu, Wenzhe Yin, Haochen Wang, Yunlu Chen, Jan-Jakob Sonke, Efstratios Gavves
Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation. CoRR (2024)
Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT. CoRR (2024)
Kai Lønning, Matthan W. A. Caan, Marlies E. Nowee, Jan-Jakob Sonke
Dynamic recurrent inference machines for accelerated MRI-guided radiotherapy of the liver. Comput. Medical Imaging Graph. 113 (2024)
Jie Liu, Wenzhe Yin, Haochen Wang, Yunlu Chen, Jan-Jakob Sonke, Efstratios Gavves
Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation. 3DV (2024)
George Yiasemis, Jan-Jakob Sonke, Jonas Teuwen
End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI. CoRR (2024)
David M. Knigge, David R. Wessels, Riccardo Valperga, Samuele Papa, Jan-Jakob Sonke, Efstratios Gavves, Erik J. Bekkers
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields. CoRR (2024)
Wenzhe Yin, Shujian Yu, Yicong Lin, Jie Li, Jan-Jakob Sonke, Efstratios Gavves
Domain Adaptation with Cauchy-Schwarz Divergence. CoRR (2024)
Samuele Papa, Efstratios Gavves, Jan-Jakob Sonke
Noise2Aliasing: Unsupervised Deep Learning for View Aliasing and Noise Reduction in 4DCBCT. MICCAI (10) (2023)
George Yiasemis, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen
On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction. CoRR (2023)
Samuele Papa, David M. Knigge, Riccardo Valperga, Nikita Moriakov, Miltos Kofinas, Jan-Jakob Sonke, Efstratios Gavves
Neural Modulation Fields for Conditional Cone Beam Neural Tomography. CoRR (2023)
Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves
PC-Reg: A pyramidal prediction-correction approach for large deformation image registration. Medical Image Anal. 90 (2023)
Joren Brunekreef, Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms. CoRR (2023)
David M. Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J. Bekkers, Jakub Mikolaj Tomczak, Mark Hoogendoorn, Jan-Jakob Sonke
Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN. ICLR (2023)
Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen
Constrained Empirical Risk Minimization: Theory and Practice. CoRR (2023)
George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems. CoRR (2023)
George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
Deep Cardiac MRI Reconstruction with ADMM. CoRR (2023)
David M. Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn, Jan-Jakob Sonke
Modelling Long Range Dependencies in N-D: From Task-Specific to a General Purpose CNN. CoRR (2023)
Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves
How to Train Neural Field Representations: A Comprehensive Study and Benchmark. CoRR (2023)
Jie Liu, Yanqi Bao, Wenzhe Ying, Haochen Wang, Yang Gao, Jan-Jakob Sonke, Efstratios Gavves
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network. CoRR (2023)
George Yiasemis, Nikita Moriakov, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen
JSSL: Joint Supervised and Self-supervised Learning for MRI Reconstruction. CoRR (2023)
George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
Deep Cardiac MRI Reconstruction with ADMM. STACOM@MICCAI (2023)
Jie Liu, Yingjun Du, Zehao Xiao, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves
Memory-augmented Variational Adaptation for Online Few-shot Segmentation. ICCV (Workshops) (2023)
Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation. CVPR (2022)
Haochen Wang, Jie Liu, Yongtuo Liu, Subhransu Maji, Jan-Jakob Sonke, Efstratios Gavves
Dynamic Transformer for Few-shot Instance Segmentation. ACM Multimedia (2022)
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)
Jie Liu, Yanqi Bao, Wenzhe Ying, Haochen Wang, Yang Gao, Jan-Jakob Sonke, Efstratios Gavves
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network. BMVC (2022)
Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation. CoRR (2022)
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
A unified model for reconstruction and R2* mapping of accelerated 7T data using the quantitative recurrent inference machine. NeuroImage 264 (2022)
Pieter Kronemeijer, Efstratios Gavves, Jan-Jakob Sonke, Jonas Teuwen
Tumor tracking in 4D CT images for adaptive radiotherapy. Medical Imaging: Image Processing (2022)
George Yiasemis, Chaoping Zhang, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen
Deep MRI Reconstruction with Radial Subsampling. CoRR (2021)
Ray Sheombarsing, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
Subpixel object segmentation using wavelets and multi resolution analysis. CoRR (2021)
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 (2021)
Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten
Evolutionary Machine Learning for Multi-Objective Class Solutions in Medical Deformable Image Registration. Algorithms 12 (5) (2019)
Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten
Evolutionary multi-objective meta-optimization of deformation and tissue removal parameters improves the performance of deformable image registration of pre- and post-surgery images. Medical Imaging: Image Processing (2019)
Kai Lønning, Patrick Putzky, Jan-Jakob Sonke, Liesbeth Reneman, Matthan W. A. Caan, Max Welling
Recurrent inference machines for reconstructing heterogeneous MRI data. Medical Image Anal. 53 (2019)
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
Real-time wireless tumor tracking during breast conserving surgery. Int. J. Comput. Assist. Radiol. Surg. 13 (4) (2018)
Jasper Nijkamp, Koert Kuhlmann, Jan-Jakob Sonke, Theo Ruers
Image-guided navigation surgery for pelvic malignancies using electromagnetic tracking. Medical Imaging: Image-Guided Procedures (2016)
Jasper Nijkamp, Bram Schermers, Sander Schmitz, Sofieke de Jonge, Koert Kuhlmann, Ferdinand van der Heijden, Jan-Jakob Sonke, Theo Ruers
Comparing position and orientation accuracy of different electromagnetic sensors for tracking during interventions. Int. J. Comput. Assist. Radiol. Surg. 11 (8) (2016)
Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten
A first step toward uncovering the truth about weight tuning in deformable image registration. Medical Imaging: Image Processing (2016)
Kleopatra Pirpinia, Tanja Alderliesten, Jan-Jakob Sonke, Marcel van Herk, Peter A. N. Bosman
Diversifying Multi-Objective Gradient Techniques and their Role in Hybrid Multi-Objective Evolutionary Algorithms for Deformable Medical Image Registration. GECCO (2015)
Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten
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. Medical Imaging: Image Processing (2015)
Tanja Alderliesten, Peter A. N. Bosman, Jan-Jakob Sonke, Arjan Bel
A multi-resolution strategy for a multi-objective deformable image registration framework that accommodates large anatomical differences. Medical Imaging: Image Processing (2014)
Tanja Alderliesten, Jan-Jakob Sonke, Peter A. N. Bosman
Deformable image registration by multi-objective optimization using a dual-dynamic transformation model to account for large anatomical differences. Medical Imaging: Image Processing (2013)
Tanja Alderliesten, Jan-Jakob Sonke, Anja Betgen, Joeri Honnef, Corine van Vliet-Vroegindeweij, Peter Remeijer
Application of 3D surface imaging in breast cancer radiotherapy. Medical Imaging: Image-Guided Procedures (2012)
Hua Zhang, Jan-Jakob Sonke
Directional Interpolation for Motion Weighted 4D Cone-Beam CT Reconstruction. MICCAI (1) (2012)
Tanja Alderliesten, Jan-Jakob Sonke, Peter A. N. Bosman
Multi-objective optimization for deformable image registration: proof of concept. Medical Imaging: Image Processing (2012)
Simon Rit, Jochem Wolthaus, Marcel van Herk, Jan-Jakob Sonke
On-the-Fly Motion-Compensated Cone-Beam CT Using an a Priori Motion Model. MICCAI (1) (2008)