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Dimitrios Karkalousos
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2020 – today
- 2024
- [i5]Dimitrios Karkalousos, Ivana Isgum, Henk A. Marquering, Matthan W. A. Caan:
ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency to facilitate Artificial Intelligence applications from acquisition to analysis in Magnetic Resonance Imaging. CoRR abs/2404.19665 (2024) - 2023
- [c2]Dimitrios Karkalousos
, Ivana Isgum, Henk A. Marquering, Matthan W. A. Caan:
MultiTask Learning for accelerated-MRI Reconstruction and Segmentation of Brain Lesions in Multiple Sclerosis. MIDL 2023: 991-1005 - 2022
- [j3]George Yiasemis, Nikita Moriakov, Dimitrios Karkalousos
, Matthan W. A. Caan, Jonas Teuwen:
DIRECT: Deep Image REConstruction Toolkit. J. Open Source Softw. 7(74): 4278 (2022) - [j2]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) - 2021
- [j1]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
:
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction. IEEE Trans. Medical Imaging 40(9): 2306-2317 (2021) - [c1]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:
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. MLMIR@MICCAI 2021: 25-34 - [i4]Dimitrios Karkalousos, S. Noteboom, H. E. Hulst, Franciscus M. Vos, Matthan W. A. Caan:
Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction. CoRR abs/2111.15498 (2021) - 2020
- [i3]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:
Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils. CoRR abs/2011.07952 (2020) - [i2]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:
State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge. CoRR abs/2012.06318 (2020)
2010 – 2019
- 2019
- [i1]Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling:
i-RIM applied to the fastMRI challenge. CoRR abs/1910.08952 (2019)
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last updated on 2024-08-05 21:19 CEST by the dblp team
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