Tananun Songdechakraiwut

Journal Article The annals of applied statistics · March 2023 This paper proposes a novel topological learning framework that integrates networks of different sizes and topology through persistent homology. Such challenging task is made possible through the introduction of a computationally efficient topological loss ... Full text Cite

Wasserstein Distance-Preserving Vector Space of Persistent Homology

Conference Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · January 1, 2023 Analysis of large and dense networks based on topology is very difficult due to the computational challenges of extracting meaningful topological features from networks. In this paper, we present a computationally tractable approach to topological data ana ... Full text Cite

Extracorporeal Membrane Oxygenation versus Conventional Ventilator Support in COVID-19 Patients with Acute Respiratory Distress Syndrome

Journal Article Journal of the Medical Association of Thailand · January 1, 2023 Background: Acute respiratory distress syndrome (ARDS) is an undesirable outcome of severe coronavirus disease 2019 (COVID-19). Although venovenous extracorporeal membrane oxygenation (VV-ECMO) has been widely accepted as a rescue therapy for severe ARDS, ... Full text Cite

FAST TOPOLOGICAL CLUSTERING WITH WASSERSTEIN DISTANCE

Conference ICLR 2022 - 10th International Conference on Learning Representations · January 1, 2022 The topological patterns exhibited by many real-world networks motivate the development of topology-based methods for assessing the similarity of networks. However, extracting topological structure is difficult, especially for large and dense networks whos ... Cite

Topological Learning and Its Application to Multimodal Brain Network Integration.

Conference Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · September 2021 A long-standing challenge in multimodal brain network analyses is to integrate topologically different brain networks obtained from diffusion and functional MRI in a coherent statistical framework. Existing multimodal frameworks will inevitably destroy the ... Full text Cite

Dynamic Topological Data Analysis for Functional Brain Signals

Conference ISBI Workshops 2020 - International Symposium on Biomedical Imaging Workshops, Proceedings · April 1, 2020 We propose a novel dynamic topological data analysis (TDA) framework that builds persistent homology over a time series of 3D functional brain images. The proposed method encodes the time series as a time-ordered sequence of Vietoris-Rips complexes and the ... Full text Cite

Tracheostomy After Thoracoabdominal Aortic Aneurysm Repair: Risk Factors and Outcomes.

Journal Article The Annals of thoracic surgery · September 2019 BackgroundRespiratory failure, the most frequent complication after thoracoabdominal aortic aneurysm (TAAA) repair, necessitates tracheostomy in severe cases. We examined risk factors for and outcomes of tracheostomy after TAAA repair.Methods< ... Full text Cite

Contemporary outcomes of open thoracoabdominal aortic aneurysm repair in octogenarians.

Journal Article The Journal of thoracic and cardiovascular surgery · February 2015 ObjectivesWe sought to evaluate our contemporary outcomes with open thoracoabdominal aortic aneurysm (TAAA) repair in octogenarians to determine whether open TAAA repair is a viable option, with acceptable risk, in this elderly cohort.Methods< ... Full text Cite