4 citations · 5 across the 5 of their papers we have counts for
5 papers
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning
Syed Fahim Ahmed, Gnanesh Rasineni, Florian Koehler +7
Whole-slide image (WSI) classification in computational pathology is commonly formulated as slide-level Multiple Instance Learning (MIL) with a single global bag representation. Ho…
A Novel Tree Visualization to Guide Interactive Exploration of Multi-dimensional Topological Hierarchies
Yarden Livnat, Dan Maljovec, Attila Gyulassy +2
Understanding the response of an output variable to multi-dimensional inputs lies at the heart of many data exploration endeavours. Topology-based methods, in particular Morse theo…
Towards replacing physical testing of granular materials with a Topology-based Model
Aniketh Venkat, Attila Gyulassy, Graham Kosiba +5
In the study of packed granular materials, the performance of a sample (e.g., the detonation of a high-energy explosive) often correlates to measurements of a fluid flowing through…
Improving the Usability of Virtual Reality Neuron Tracing with Topological Elements
Torin McDonald, Will Usher, Nate Morrical +5
Researchers in the field of connectomics are working to reconstruct a map of neural connections in the brain in order to understand at a fundamental level how the brain processes i…
Topological Data Analysis Made Easy with the Topology ToolKit
Guillaume Favelier, Charles Gueunet, Attila Gyulassy +8
This tutorial presents topological methods for the analysis and visualization of scientific data from a user's perspective, with the Topology ToolKit (TTK), a recently released ope…