Tulane Visualization and Graphics Group
Tulane Visualization and Graphics Group
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Rapid and Precise Topological Comparison with Merge Tree Neural Networks

VIS, 2024. [WEBSITE]

Topological Guided Detection of Extreme Wind Phenomena: Implications for Wind Energy

EnergyVIS, 2023. [WEBSITE]

Visualizing Topological Importance: A Class-Driven Approach

TopoInVIS, 2023. [WEBSITE]

Whole Slide Image Data Utilization Informed by Digital Diagnosis Patterns

Journal of Pathology Informatics, 2022. [LINK]

Deep Learning 2D and 3D Optical Sectioning Microscopy
Using Cross-Modality Pix2Pix GAN Image Translation

Biomedical Optics Express, 2021. [LINK]

A Domain-Oblivious Approach for Learning Concise Representations of
Filtered Topological Spaces for Clustering

Transactions on Visualization and Computer Graphics (VIS 2021). [WEBSITE]

Adaptive Compositing and Navigation of Variable Resolution Images

Computer Graphics Forum (Eurographics 2021). [WEBSITE]

Efficient and Flexible Hierarchical Data Layouts for a Unified Encoding of Scalar Field Precision and Resolution

Transactions on Visualization and Computer Graphics (VIS 2020) [PDF]

Multiscale 3-dimensional pathology findings of COVID-19 diseased lung using high-resolution cleared tissue microscopy

preprint [BIORXIV]

Assessment of sampling adequacy using persistent homology for the evaluation of heterogeneity in 3D histology acquired through inverted selective plane illumination microscopy (iSPIM)

Proceedings of SPIE 11073, Clinical and Preclinical Optical Diagnostics II 2019 [EXTERNAL WEBSITE]

Persistence Atlas for Critical Point Variability in Ensembles

Transactions on Visualization and Computer Graphics (VIS 2018) [WEBSITE]

Flexible Live-Wire: Image Segmentation with Floating Anchors

Computer Graphics Forum (EuroGraphics 2018) [WEBSITE]

Visualizing the Uncertainty of Graph-based 2D Segmentation with Min-path Stability

Computer Graphics Forum (EuroVis 2017) [WEBSITE]

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Department of Computer Science
Tulane University, New Orleans, LA, USA