Jan-Jakob Sonke

66 papers A* 10A 3B 7Journal 36Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards Uniformity and Alignment for Multimodal Representation Learning. CoRR Wenzhe Yin, Pan Zhou, Zehao Xiao, Jie Liu, Shujian Yu, Jan-Jakob Sonke, Efstratios Gavves
2025	A*	`conf`	CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation. ICLR Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves
2025	J	`jnl`	Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence. CoRR Wenzhe Yin, Zehao Xiao, Pan Zhou, Shujian Yu, Jiayi Shen, Jan-Jakob Sonke, Efstratios Gavves
2025	J	`jnl`	Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT: From Simulated to Real Data. CoRR Nikita Moriakov, Efstratios Gavves, Jonathan H. Mason, Carmen Seller-Oria, Jonas Teuwen, Jan-Jakob Sonke
2025	J	`jnl`	Geometric Neural Process Fields. CoRR Wenzhe Yin, Zehao Xiao, Jiayi Shen, Yunlu Chen, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves
2025	J	`jnl`	Physics-Guided Radiotherapy Treatment Planning with Deep Learning. CoRR Stefanos Achlatis, Efstratios Gavves, Jan-Jakob Sonke
2025	A*	`conf`	Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes. ICML Jie Liu, Pan Zhou, Zehao Xiao, Jiayi Shen, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves
2025	J	`jnl`	Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes. CoRR Jie Liu, Pan Zhou, Zehao Xiao, Jiayi Shen, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves
2025	J	`jnl`	Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-shot Semantic Segmentation. CoRR Jie Liu, Jiayi Shen, Pan Zhou, Jan-Jakob Sonke, Efstratios Gavves
2024	J	`jnl`	CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation. CoRR Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves
2024	—	`conf`	Click Prompt Learning with Optimal Transport for Interactive Segmentation. ECCV (33) Jie Liu, Haochen Wang, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves
2024	J	`jnl`	Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI. CoRR George Yiasemis, Jan-Jakob Sonke, Jonas Teuwen
2024	—	`conf`	Deep Multi-contrast Cardiac MRI Reconstruction via vSHARP with Auxiliary Refinement Network. CMRxRecon/MBAS/STACOM@MICCAI George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
2024	J	`jnl`	Deep Multi-contrast Cardiac MRI Reconstruction via vSHARP with Auxiliary Refinement Network. CoRR George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
2024	A	`conf`	Domain Adaptation with Cauchy-Schwarz Divergence. UAI Wenzhe Yin, Shujian Yu, Yicong Lin, Jie Liu, Jan-Jakob Sonke, Efstratios Gavves
2024	J	`jnl`	Domain Adaptation with Cauchy-Schwarz Divergence. CoRR Wenzhe Yin, Shujian Yu, Yicong Lin, Jie Li, Jan-Jakob Sonke, Efstratios Gavves
2024	—	`conf`	Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation. 3DV Jie Liu, Wenzhe Yin, Haochen Wang, Yunlu Chen, Jan-Jakob Sonke, Efstratios Gavves
2024	J	`jnl`	Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation. CoRR Jie Liu, Wenzhe Yin, Haochen Wang, Yunlu Chen, Jan-Jakob Sonke, Efstratios Gavves
2024	J	`jnl`	Dynamic recurrent inference machines for accelerated MRI-guided radiotherapy of the liver. Comput. Medical Imaging Graph. Kai Lønning, Matthan W. A. Caan, Marlies E. Nowee, Jan-Jakob Sonke
2024	J	`jnl`	End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI. CoRR George Yiasemis, Jan-Jakob Sonke, Jonas Teuwen
2024	J	`jnl`	Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT. CoRR Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
2024	A*	`conf`	How to Train Neural Field Representations: A Comprehensive Study and Benchmark. CVPR Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves
2024	A*	`conf`	Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms. CVPR Joren Brunekreef, Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen
2024	A*	`conf`	Space-Time Continuous PDE Forecasting using Equivariant Neural Fields. NeurIPS David M. Knigge, David R. Wessels, Riccardo Valperga, Samuele Papa, Jan-Jakob Sonke, Erik J. Bekkers, Efstratios Gavves
2024	J	`jnl`	Space-Time Continuous PDE Forecasting using Equivariant Neural Fields. CoRR David M. Knigge, David R. Wessels, Riccardo Valperga, Samuele Papa, Jan-Jakob Sonke, Efstratios Gavves, Erik J. Bekkers
2024	A*	`conf`	Task-Driven Wavelets Using Constrained Empirical Risk Minimization. CVPR Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen
2023	J	`jnl`	Constrained Empirical Risk Minimization: Theory and Practice. CoRR Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen
2023	—	`conf`	Deep Cardiac MRI Reconstruction with ADMM. STACOM@MICCAI George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
2023	J	`jnl`	Deep Cardiac MRI Reconstruction with ADMM. CoRR George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
2023	J	`jnl`	Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network. CoRR Jie Liu, Yanqi Bao, Wenzhe Yin, Haochen Wang, Yang Gao, Jan-Jakob Sonke, Efstratios Gavves
2023	J	`jnl`	How to Train Neural Field Representations: A Comprehensive Study and Benchmark. CoRR Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves
2023	J	`jnl`	JSSL: Joint Supervised and Self-supervised Learning for MRI Reconstruction. CoRR George Yiasemis, Nikita Moriakov, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen
2023	J	`jnl`	Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms. CoRR Joren Brunekreef, Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen
2023	—	`conf`	Memory-augmented Variational Adaptation for Online Few-shot Segmentation. ICCV (Workshops) Jie Liu, Yingjun Du, Zehao Xiao, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves
2023	A*	`conf`	Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN. ICLR David M. Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J. Bekkers, Jakub Mikolaj Tomczak, Mark Hoogendoorn, Jan-Jakob Sonke
2023	J	`jnl`	Modelling Long Range Dependencies in N-D: From Task-Specific to a General Purpose CNN. CoRR David M. Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn, Jan-Jakob Sonke
2023	J	`jnl`	Neural Modulation Fields for Conditional Cone Beam Neural Tomography. CoRR Samuele Papa, David M. Knigge, Riccardo Valperga, Nikita Moriakov, Miltos Kofinas, Jan-Jakob Sonke, Efstratios Gavves
2023	—	`conf`	Noise2Aliasing: Unsupervised Deep Learning for View Aliasing and Noise Reduction in 4DCBCT. MICCAI (10) Samuele Papa, Efstratios Gavves, Jan-Jakob Sonke
2023	J	`jnl`	On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction. CoRR George Yiasemis, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen
2023	J	`jnl`	PC-Reg: A pyramidal prediction-correction approach for large deformation image registration. Medical Image Anal. Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves
2023	J	`jnl`	vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems. CoRR George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
2022	J	`jnl`	A unified model for reconstruction and R2* mapping of accelerated 7T data using the quantitative recurrent inference machine. NeuroImage 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
2022	A*	`conf`	Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation. CVPR Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves
2022	J	`jnl`	Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation. CoRR Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves
2022	A*	`conf`	Dynamic Transformer for Few-shot Instance Segmentation. ACM Multimedia Haochen Wang, Jie Liu, Yongtuo Liu, Subhransu Maji, Jan-Jakob Sonke, Efstratios Gavves
2022	A	`conf`	Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network. BMVC Jie Liu, Yanqi Bao, Wenzhe Yin, Haochen Wang, Yang Gao, Jan-Jakob Sonke, Efstratios Gavves
2022	A*	`conf`	Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction. CVPR George Yiasemis, Jan-Jakob Sonke, Clarisa I. Sánchez, Jonas Teuwen
2022	B	`conf`	Tumor tracking in 4D CT images for adaptive radiotherapy. Image Processing Pieter Kronemeijer, Efstratios Gavves, Jan-Jakob Sonke, Jonas Teuwen
2021	J	`jnl`	Deep MRI Reconstruction with Radial Subsampling. CoRR George Yiasemis, Chaoping Zhang, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen
2021	J	`jnl`	Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction. CoRR George Yiasemis, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen
2021	J	`jnl`	Subpixel object segmentation using wavelets and multi resolution analysis. CoRR Ray Sheombarsing, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen
2019	J	`jnl`	Evolutionary Machine Learning for Multi-Objective Class Solutions in Medical Deformable Image Registration. Algorithms Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten
2019	B	`conf`	Evolutionary multi-objective meta-optimization of deformation and tissue removal parameters improves the performance of deformable image registration of pre- and post-surgery images. Image Processing Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten
2019	J	`jnl`	Recurrent inference machines for reconstructing heterogeneous MRI data. Medical Image Anal. Kai Lønning, Patrick Putzky, Jan-Jakob Sonke, Liesbeth Reneman, Matthan W. A. Caan, Max Welling
2018	J	`jnl`	Real-time wireless tumor tracking during breast conserving surgery. Int. J. Comput. Assist. Radiol. Surg. 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
2016	B	`conf`	A first step toward uncovering the truth about weight tuning in deformable image registration. Image Processing Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten
2016	J	`jnl`	Comparing position and orientation accuracy of different electromagnetic sensors for tracking during interventions. Int. J. Comput. Assist. Radiol. Surg. Jasper Nijkamp, Bram Schermers, Sander Schmitz, Sofieke de Jonge, Koert Kuhlmann, Ferdinand van der Heijden, Jan-Jakob Sonke, Theo Ruers
2016	—	`conf`	Image-guided navigation surgery for pelvic malignancies using electromagnetic tracking. Image-Guided Procedures Jasper Nijkamp, Koert Kuhlmann, Jan-Jakob Sonke, Theo Ruers
2015	A	`conf`	Diversifying Multi-Objective Gradient Techniques and their Role in Hybrid Multi-Objective Evolutionary Algorithms for Deformable Medical Image Registration. GECCO Kleopatra Pirpinia, Tanja Alderliesten, Jan-Jakob Sonke, Marcel van Herk, Peter A. N. Bosman
2015	B	`conf`	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. Image Processing Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten
2014	B	`conf`	A multi-resolution strategy for a multi-objective deformable image registration framework that accommodates large anatomical differences. Image Processing Tanja Alderliesten, Peter A. N. Bosman, Jan-Jakob Sonke, Arjan Bel
2013	B	`conf`	Deformable image registration by multi-objective optimization using a dual-dynamic transformation model to account for large anatomical differences. Image Processing Tanja Alderliesten, Jan-Jakob Sonke, Peter A. N. Bosman
2012	—	`conf`	Application of 3D surface imaging in breast cancer radiotherapy. Image-Guided Procedures Tanja Alderliesten, Jan-Jakob Sonke, Anja Betgen, Joeri Honnef, Corine van Vliet-Vroegindeweij, Peter Remeijer
2012	—	`conf`	Directional Interpolation for Motion Weighted 4D Cone-Beam CT Reconstruction. MICCAI (1) Hua Zhang, Jan-Jakob Sonke
2012	B	`conf`	Multi-objective optimization for deformable image registration: proof of concept. Image Processing Tanja Alderliesten, Jan-Jakob Sonke, Peter A. N. Bosman
2008	—	`conf`	On-the-Fly Motion-Compensated Cone-Beam CT Using an a Priori Motion Model. MICCAI (1) Simon Rit, Jochem Wolthaus, Marcel van Herk, Jan-Jakob Sonke