A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology
2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence · 223 citations
https://doi.org/10.1109/tpami.2020.3013679
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Nick Byrne
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Nick Byrne is an academic researcher from St Thomas' Hospital. The author has contributed to research in topics: Anatomy and Medical Technology & Surgical Simulation and Training & Congenital Heart Disease Studies. The author has an h-index of 20, co-authored 52 publications.
ORCID: 0000-0003-3401-9570Papers by this author
worksA Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR
2022 · IEEE Transactions on Medical Imaging · 33 citations
https://doi.org/10.1109/tmi.2022.3203309
Improved passive catheter tracking with positive contrast for CMR-guided cardiac catheterization using partial saturation (pSAT)
2016 · Journal of Cardiovascular Magnetic Resonance · 26 citations
https://doi.org/10.1186/s12968-017-0368-0
Improved co-registration of ex-vivo and in-vivo cardiovascular magnetic resonance images using heart-specific flexible 3D printed acrylic scaffold combined with non-rigid registration
2019 · Journal of Cardiovascular Magnetic Resonance · 12 citations
https://doi.org/10.1186/s12968-019-0574-z
Reduction of surgical complications via 3D models during robotic assisted radical prostatectomy: review of current evidence and meta-analysis
2024 · Journal of Robotic Surgery · 6 citations
https://doi.org/10.1007/s11701-024-02041-2
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