Dimitrios Karkalousos

According to our database, Dimitrios Karkalousos authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency to facilitate Artificial Intelligence applications from acquisition to analysis in Magnetic Resonance Imaging.

Dimitrios Karkalousos, Ivana Isgum, Henk A. Marquering, Matthan W. A. Caan

Comput. Methods Programs Biomed., 2024

2023

MultiTask Learning for accelerated-MRI Reconstruction and Segmentation of Brain Lesions in Multiple Sclerosis.

Dimitrios Karkalousos, Ivana Isgum, Henk A. Marquering, Matthan W. A. Caan

Proceedings of the Medical Imaging with Deep Learning, 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

DIRECT: Deep Image REConstruction Toolkit.

George Yiasemis, Nikita Moriakov, Dimitrios Karkalousos, Matthan W. A. Caan, Jonas Teuwen

J. Open Source Softw., 2022

2021

Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction.

Matthew J. Muckley, Bruno Riemenschneider, Alireza Radmanesh, Sunwoo Kim, Geunu Jeong, Jingyu Ko, Yohan Jun, Hyungseob Shin, Dosik Hwang, Mahmoud Mostapha, Simon Arberet, Dominik Nickel, Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck, Jonas Teuwen, Dimitrios Karkalousos, Chaoping Zhang, Anuroop Sriram, Zhengnan Huang, Nafissa Yakubova, Yvonne W. Lui, Florian Knoll

IEEE Trans. Medical Imaging, 2021

Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction.

Dimitrios Karkalousos, S. Noteboom, H. E. Hulst, Franciscus M. Vos, Matthan W. A. Caan

CoRR, 2021

Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge.

Patricia M. Johnson, Geunu Jeong, Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Daniel Rueckert, Jingu Lee, Nicola Pezzotti, Elwin de Weerdt, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Franciscus Van Gemert, Christophe Schülke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Marius Staring, Eric Z. Chen, Puyang Wang, Xiao Chen, Terrence Chen, Vishal M. Patel, Shanhui Sun, Hyungseob Shin, Yohan Jun, Taejoon Eo, Sewon Kim, Taeseong Kim, Dosik Hwang, Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling, Matthew J. Muckley, Florian Knoll

Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

2020

State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge.

Matthew J. Muckley, Bruno Riemenschneider, Alireza Radmanesh, Sunwoo Kim, Geunu Jeong, Jingyu Ko, Yohan Jun, Hyungseob Shin, Dosik Hwang, Mahmoud Mostapha, Simon Arberet, Dominik Nickel, Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck, Jonas Teuwen, Dimitrios Karkalousos, Chaoping Zhang, Anuroop Sriram, Zhengnan Huang, Nafissa Yakubova, Yvonne W. Lui, Florian Knoll

CoRR, 2020

Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils.

Youssef Beauferris, Jonas Teuwen, Dimitrios Karkalousos, Nikita Moriakov, Matthan W. A. Caan, Lívia Rodrigues, Alexandre Lopes, Hélio Pedrini, Letícia Rittner, Maik Dannecker, Viktor Studenyak, Fabian Gröger, Devendra Vyas, Shahrooz Faghih-Roohi, Amrit Kumar Jethi, JayaChandra Raju, Mohanasankar Sivaprakasam, Wallace Loos, Richard Frayne, Roberto Souza

CoRR, 2020

2019

i-RIM applied to the fastMRI challenge.

Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling

CoRR, 2019