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ORCIDTGI3@MICCAI 2024: Marrakesh, Morocco
- Chao Chen
, Yash Singh, Xiaoling Hu:
Topology- and Graph-Informed Imaging Informatics - First International Workshop, TGI3 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15239, Springer 2025, ISBN 978-3-031-73966-8 - Chenhao Pei, Wei Wang, Huan Zhang, Siyuan Yin, Wen Tang, Ming Meng, Weinan Xiao, Hong Shen:
Deep Learning-Based Liver Vessel Separation with Plug-and-Play Modules: Skeleton Tracking and Graph Attention. 1-10 - Pierre Rougé, Odyssée Merveille, Nicolas Passat:
ccDice: A Topology-Aware Dice Score Based on Connected Components. 11-21 - Saba Fatema, Brighton Nuwagira, Sayoni Chakraborty, Reyhan Gedik, Baris Coskunuzer:
TopOC: Topological Deep Learning for Ovarian and Breast Cancer Diagnosis. 22-32 - Debanjali Bhattacharya, Ninad Aithal, Manish Jayswal, Neelam Sinha:
Analyzing Brain Tumor Connectomics Using Graphs and Persistent Homology. 33-42 - Arthur Chevalley, Valentin Oreiller, Julien Fageot, John O. Prior, Vincent Andrearczyk, Adrien Depeursinge:
A Bispectral 3D U-Net for Rotation Robustness in Medical Segmentation. 43-54 - Sophie Carneiro Esteves, Antoine Vacavant, Odyssée Merveille:
Restoring Connectivity in Vascular Segmentations Using a Learned Post-processing Model. 55-65 - Anh Q. Nguyen, Jean Cousty, Yukiko Kenmochi, Shigeaki Higashiyama, Joji Kawabe, Akinobu Shimizu:
Multi-factor Component Tree Loss Function: A Topology-Preserving Method for Skeleton Segmentation from Bone Scintigrams. 66-75 - Stefano Vannoni, Emma Tassi, Inês W. Sampaio, Eleonora Maggioni:
Exploitation of Mapper Algorithm in Neuroimaging Applications: A Novel Framework for Outcomes Prediction. 76-87 - Emma Tassi, Harrison Fisher, Andrew Bolender, Jun-Hwan Lee, Lizbeth J. Ayoub, Anna Maria Bianchi, Braden Kuo, Vitaly Napadow, Eleonora Maggioni, Roberta Sclocco:
Topological Data Analysis of Resting-State fMRI Suggests Altered Brain Network Topology in Functional Dyspepsia: A Mapper-Based Parcellation Approach. 88-99 - Xiaoling Hu, Annabel Sorby-Adams, Frederik Barkhof, W. Taylor Kimberly, Oula Puonti, Juan Eugenio Iglesias:
P-Count: Persistence-Based Counting of White Matter Hyperintensities in Brain MRI. 100-110 - Mohammad Tariqul Islam, Jason W. Fleischer:
Outlier Detection in Large Radiological Datasets Using UMAP. 111-121 - Meiliong Xu, Nate Anderson, Richard M. Levenson, Prateek Prasanna, Chao Chen:
A Topological Comparison of the Fluorescence Imitating Brightfield Imaging and H&E Imaging. 122-133 - Anass B. El-Yaagoubi, Moo K. Chung, Hernando Ombao:
Topological Analysis of Seizure-Induced Changes in Brain Hierarchy Through Effective Connectivity. 134-145
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