14 citations · 18 across the 7 of their papers we have counts for
6 papers
Learning Topological Interactions for Multi-Class Medical Image Segmentation
Saumya Gupta, Xiaoling Hu, James Kaan +10
Deep learning methods have achieved impressive performance for multi-class medical image segmentation. However, they are limited in their ability to encode topological interactions…
In-situ Workflow Auto-tuning via Combining Performance Models of Component Applications
Tong Shu, Yanfei Guo, Justin Wozniak +3
In-situ parallel workflows couple multiple component applications, such as simulation and analysis, via streaming data transfer. in order to avoid data exchange via shared file sys…
Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images
Veda Murthy, Le Hou, Dimitris Samaras +2
Classifying the various shapes and attributes of a glioma cell nucleus is crucial for diagnosis and understanding the disease. We investigate automated classification of glioma nuc…
Efficient Methods and Parallel Execution for Algorithm Sensitivity Analysis with Parameter Tuning on Microscopy Imaging Datasets
George Teodoro, Tahsin Kurc, Luis F. R. Taveira +3
Background: We describe an informatics framework for researchers and clinical investigators to efficiently perform parameter sensitivity analysis and auto-tuning for algorithms tha…
Neural Networks with Smooth Adaptive Activation Functions for Regression
Le Hou, Dimitris Samaras, Tahsin M. Kurc +2
In Neural Networks (NN), Adaptive Activation Functions (AAF) have parameters that control the shapes of activation functions. These parameters are trained along with other paramete…
Region Templates: Data Representation and Management for Large-Scale Image Analysis
George Teodoro, Tony Pan, Tahsin Kurc +4
Distributed memory machines equipped with CPUs and GPUs (hybrid computing nodes) are hard to program because of the multiple layers of memory and heterogeneous computing configurat…