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2020 – today
- 2024
[j7]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: 102348 (2024)- [c25]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: 810-819 - [c24]Joren Brunekreef, Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen:
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms. CVPR 2024: 4135-4143 - [c23]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. CVPR 2024: 22616-22625 - [c22]Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen:
Task-Driven Wavelets Using Constrained Empirical Risk Minimization. CVPR 2024: 24098-24107 - [c21]Jie Liu, Haochen Wang, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves:
Click Prompt Learning with Optimal Transport for Interactive Segmentation. ECCV (33) 2024: 93-110 - [i19]Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen:
Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT. CoRR abs/2401.11256 (2024) - [i18]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 abs/2401.16051 (2024) - [i17]George Yiasemis, Jan-Jakob Sonke, Jonas Teuwen:
End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI. CoRR abs/2403.10346 (2024) - [i16]Wenzhe Yin, Shujian Yu, Yicong Lin, Jie Li, Jan-Jakob Sonke, Efstratios Gavves:
Domain Adaptation with Cauchy-Schwarz Divergence. CoRR abs/2405.19978 (2024) - [i15]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 abs/2406.06660 (2024) - 2023
- [j6]Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves:
PC-Reg: A pyramidal prediction-correction approach for large deformation image registration. Medical Image Anal. 90: 102978 (2023) - [c20]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: 3316-3325 - [c19]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 - [c18]Samuele Papa, Efstratios Gavves, Jan-Jakob Sonke:
Noise2Aliasing: Unsupervised Deep Learning for View Aliasing and Noise Reduction in 4DCBCT. MICCAI (10) 2023: 481-490 - [c17]George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen:
Deep Cardiac MRI Reconstruction with ADMM. STACOM@MICCAI 2023: 479-490 - [i14]Jie Liu, Yanqi Bao, Wenzhe Yin, Haochen Wang, Yang Gao, Jan-Jakob Sonke, Efstratios Gavves:
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network. CoRR abs/2301.03194 (2023) - [i13]George Yiasemis, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen:
On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction. CoRR abs/2301.08365 (2023) - [i12]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 abs/2301.10540 (2023) - [i11]Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen:
Constrained Empirical Risk Minimization: Theory and Practice. CoRR abs/2302.04729 (2023) - [i10]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 abs/2307.08351 (2023) - [i9]George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen:
vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems. CoRR abs/2309.09954 (2023) - [i8]George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen:
Deep Cardiac MRI Reconstruction with ADMM. CoRR abs/2310.06628 (2023) - [i7]Joren Brunekreef, Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen:
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms. CoRR abs/2311.11837 (2023) - [i6]George Yiasemis, Nikita Moriakov, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen:
JSSL: Joint Supervised and Self-supervised Learning for MRI Reconstruction. CoRR abs/2311.15856 (2023) - [i5]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 abs/2312.10531 (2023) - 2022
- [j5]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: 119680 (2022) - [c16]Jie Liu, Yanqi Bao, Wenzhe Yin, Haochen Wang, Yang Gao, Jan-Jakob Sonke, Efstratios Gavves:
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network. BMVC 2022: 126 - [c15]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: 722-731 - [c14]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: 11543-11552 - [c13]Pieter Kronemeijer, Efstratios Gavves, Jan-Jakob Sonke, Jonas Teuwen:
Tumor tracking in 4D CT images for adaptive radiotherapy. Medical Imaging: Image Processing 2022 - [c12]Haochen Wang, Jie Liu, Yongtuo Liu, Subhransu Maji, Jan-Jakob Sonke, Efstratios Gavves:
Dynamic Transformer for Few-shot Instance Segmentation. ACM Multimedia 2022: 2969-2977 - [i4]Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves:
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation. CoRR abs/2204.10638 (2022) - 2021
- [i3]George Yiasemis, Chaoping Zhang, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen:
Deep MRI Reconstruction with Radial Subsampling. CoRR abs/2108.07619 (2021) - [i2]Ray Sheombarsing, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen:
Subpixel object segmentation using wavelets and multi resolution analysis. CoRR abs/2110.15233 (2021) - [i1]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 abs/2111.09639 (2021)
2010 – 2019
- 2019
- [j4]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): 99 (2019) - [j3]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: 64-78 (2019) - [c11]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: 1094939 - 2018
- [j2]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): 531-539 (2018) - 2016
- [j1]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): 1487-1498 (2016) - [c10]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: 97862L - [c9]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: 978445 - 2015
- [c8]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: 1255-1262 - [c7]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: 941339 - 2014
- [c6]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: 90343G - 2013
- [c5]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: 866910 - 2012
- [c4]Hua Zhang, Jan-Jakob Sonke:
Directional Interpolation for Motion Weighted 4D Cone-Beam CT Reconstruction. MICCAI (1) 2012: 181-188 - [c3]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: 83160A - [c2]Tanja Alderliesten, Jan-Jakob Sonke, Peter A. N. Bosman:
Multi-objective optimization for deformable image registration: proof of concept. Medical Imaging: Image Processing 2012: 831420
2000 – 2009
- 2008
- [c1]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: 729-736
Coauthor Index
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