Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
2018 · IEEE Transactions on Medical Imaging · 2,134 citations
https://doi.org/10.1109/tmi.2018.2837502
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Alain Lalande
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Alain Lalande is an academic researcher from Centre National de la Recherche Scientifique. The author has contributed to research in topics: Cardiac Imaging and Diagnostics & Advanced MRI Techniques and Applications & Medical Image Segmentation Techniques. The author has an h-index of 33, co-authored 263 publications.
ORCID: 0000-0002-7970-366XPapers by this author
worksA deep learning method for predicting knee osteoarthritis radiographic progression from MRI
2021 · Arthritis Research & Therapy · 91 citations
https://doi.org/10.1186/s13075-021-02634-4
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
2022 · Medical Image Analysis · 57 citations
https://doi.org/10.1016/j.media.2022.102428
Automatic segmentation of inner ear on CT-scan using auto-context convolutional neural network
2021 · Scientific Reports · 38 citations
https://doi.org/10.1038/s41598-021-83955-x
Structural tissue damage and 24-month progression of semi-quantitative MRI biomarkers of knee osteoarthritis in the IMI-APPROACH cohort
2022 · BMC Musculoskeletal Disorders · 24 citations
https://doi.org/10.1186/s12891-022-05926-1
Comparison of Flow Measurement by 4D Flow Magnetic Resonance Imaging and by Particles Image Velocimetry on Phantom of Abdominal Aortic Aneurysm
2016 · HAL (Le Centre pour la Communication Scientifique Directe) · 5 citations
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