Mikael Kanski

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 10

Top Topics

Unsupervised Learning

Motion Tracking

Top Venues

BMC Medical Imaging

Publications

Meng Ye, Mikael Kanski, Dong Yang, Leon Axel, Dimitris N. Metaxas
Unsupervised Exemplar-Based Image-to-Image Translation and Cascaded Vision Transformers for Tagged and Untagged Cardiac Cine MRI Registration. WACV (2024)
Meng Ye, Dong Yang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas
Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging. ICCV (2023)
Meng Ye, Dong Yang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas
Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging. CoRR (2023)
Meng Ye, Dong Yang, Qiaoying Huang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas
SequenceMorph: A Unified Unsupervised Learning Framework for Motion Tracking on Cardiac Image Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Qi Chang, Zhennan Yan, Mu Zhou, Di Liu, Khalid Sawalha, Meng Ye, Qilong Zhangli, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via a Structure-Specific Generative Method. MICCAI (4) (2022)
Qi Chang, Zhennan Yan, Mu Zhou, Di Liu, Khalid Sawalha, Meng Ye, Qilong Zhangli, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method. CoRR (2022)
Meng Ye, Mikael Kanski, Dong Yang, Qi Chang, Zhennan Yan, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images. CoRR (2021)
Meng Ye, Mikael Kanski, Dong Yang, Qi Chang, Zhennan Yan, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images. CVPR (2021)
Qi Chang, Zhennan Yan, Meng Ye, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas
An Unsupervised 3D Recurrent Neural Network for Slice Misalignment Correction in Cardiac MR Imaging. STACOM@MICCAI (2021)
Mikael Kanski, Teodora Chitiboi, Lennart Tautz, Anja Hennemuth, Dan Halpern, Mark V. Sherrid, Leon Axel
Analysis of Three-Chamber View Tagged Cine MRI in Patients with Suspected Hypertrophic Cardiomyopathy. FIMH (2019)
Mikael Kanski, Johannes Töger, Katarina Steding-Ehrenborg, Christos G. Xanthis, Karin Bloch, Einar Heiberg, Marcus Carlsson, Håkan Arheden
Whole-heart four-dimensional flow can be acquired with preserved quality without respiratory gating, facilitating clinical use: a head-to-head comparison. BMC Medical Imaging 15 (2015)